Bloomberg Technology
Bloomberg Technology is a Bloomberg TV source covering technology news and analysis, with interviews and profiles focused on innovators, industry leaders, and global tech trends.
Air Force Autonomous Fighter Award Moves Anduril From Prototype to Production
Anduril CEO Brian Schimpf told Bloomberg Technology that the company’s new US Air Force production contract is a test of whether it can turn an autonomous fighter prototype into a manufactured operational aircraft at scale. He argued that the same constraint now runs across defense: weapons, aircraft, space systems, and allied stockpiles are less limited by technical ambition than by whether the US and its partners can produce enough capability quickly enough for modern conflict.
Camera AirPods Would Give Siri Visual Context in Apple’s 2027 Push
Bloomberg’s Mark Gurman says Apple is preparing a dense 2026 and 2027 hardware cycle that includes its first foldable iPhone, a second-generation foldable, a 20th-anniversary iPhone and camera-equipped AirPods. Gurman argues the AirPods cameras are meant not for photography or facial recognition but to give Siri visual context about a user’s surroundings, while Snap’s new Specs show the same broader push toward ambient, augmented computing despite high prices and limited near-term adoption.
Power and Heat Are the Hard Limits for Orbital AI Data Centers
Makenzie Lystrup, a principal consultant at Peridot Services and former director of NASA’s Goddard Space Flight Center, argues that orbital data centers should not be treated as one idea. In a Bloomberg Technology interview, she says near-term edge computing in orbit is plausible, while hyperscale AI infrastructure of the kind associated with SpaceX faces much harder constraints: power systems, heat rejection, radiation-tolerant hardware, networking, reliability and maintenance. Her central point is that the challenge is not merely launching servers into space, but operating them as space-qualified infrastructure.
SpaceX’s Underappreciated Compute Business Anchors a Five-Layer Growth Thesis
Shaun Maguire, a Sequoia Capital partner and SpaceX investor, told Bloomberg that he plans to hold his personal SpaceX shares “forever” because he sees the company’s launch capability, hardware culture and compute ambitions as a compounding advantage most investors are underestimating. He argued that SpaceX should be understood as five businesses — launch, connectivity, compute, models and other long-dated bets — with Starship as the core moat and terrestrial and orbital AI compute as the expansion layer that could reshape how the company is valued.
Enterprise AI Is Blocked by Context, Not Model Intelligence
Databricks chief executive Ali Ghodsi argues that enterprise AI is constrained less by model intelligence than by access to company context: data, documents, processes and relationships that agents need to operate inside businesses. In a Bloomberg Tech interview with Ed Ludlow, Ghodsi said Databricks is building products such as Genie Ontology and Lakehouse to make that context usable, while adoption in critical workflows remains slowed by security, legal and approval processes. He also declined to confirm reports of a new funding round and said Databricks is not rushing toward an IPO.
Apple’s Revamped Siri May Be Good Enough to Ease Its AI Crisis
Bloomberg’s Mark Gurman argues that Apple’s revamped Siri is not a leap ahead of ChatGPT, Gemini or Claude, but may be good enough to stabilize Apple’s position in AI. Speaking with Ed Ludlow, Gurman said the new Siri finally delivers on much of the assistant promise Apple made years ago, while still falling short on advanced tasks such as deep research, long-document summaries and creating spreadsheets or slide decks. His case is that Apple can ease its AI crisis if Siri now handles the everyday questions and device-assistant tasks most of its 2bn-plus users actually need.
SpaceX Holds the Cost Advantage in Orbital Data Centers
Former Meta CTO Mike Schroepfer told Bloomberg Technology that orbital data centers are plausible but likely economic only for SpaceX, whose vertical integration and launch costs give it a hardware advantage others cannot match. Schroepfer, now a founding partner at Gigascale Capital, argued that ocean-based data centers currently have stronger cost logic because mass can be deployed there about 100 times more cheaply than in orbit, while land-based solar and batteries remain a faster near-term route to new compute capacity.
Musk Frames SpaceX IPO as Proof of a Once-Unlikely Space Bet
At SpaceX’s Nasdaq opening bell ceremony, Elon Musk framed the company’s IPO less as an inevitable Wall Street milestone than as the outcome of a venture he once thought had less than a 10 per cent chance of survival. Musk argued that SpaceX was founded because incumbent aerospace companies were not pursuing the technologies needed to make humanity multiplanetary, and said the company’s purpose is to make travel to the Moon, Mars and beyond possible for more than a small group of astronauts.
UK Could Soon Produce Its First £100 Billion Tech Company
James Wise, general partner at Balderton Capital and chair of the UK Government’s Sovereign AI fund, argues that Britain’s technology market is closer to producing a £100 billion company than its reputation suggests. Speaking to Bloomberg’s Tom Mackenzie at London Tech Week, Wise said UK funding is now robust at later stages, but that policymakers must help companies scale globally by using government procurement, data, expertise and state infrastructure, not just public capital.
London AI Founders Are Building Global Companies From Britain
ElevenLabs chief executive Mati Staniszewski told Bloomberg that London’s AI ecosystem has moved beyond a talent story and is becoming a credible base for building global companies. Speaking at London Tech Week, he argued that returning talent, greater founder risk appetite and more willingness from UK and European customers to buy from young AI companies are reinforcing that shift. ElevenLabs, the UK-founded voice AI startup valued at about $11 billion, is presented as both evidence and beneficiary of the change.
SpaceX Opens 11% Above IPO Price in Nasdaq Debut
Bloomberg Technology’s Caroline Hyde, Ed Ludlow and Yahaira Anand reported that SpaceX opened for trading on Nasdaq at $150 a share, 11% above its $135 IPO price, giving IPO buyers an immediate paper gain. Ludlow said the opening price put the company’s market value near $2 trillion, while the reporters cautioned that the first print was only an initial verdict and that the key question was whether the early gains would hold through the session.
Starlink Economics Anchor ARK’s Case for SpaceX’s AI Upside
Brett Winton, chief futurist at ARK Invest, tells Bloomberg Technology that SpaceX’s investment case rests first on falling launch costs and Starlink economics, not on Elon Musk’s most extreme timelines. Winton argues that Starlink could support hundreds of billions of dollars in revenue by 2030 if Starship increases satellite deployment, while orbital AI data centers and compute leasing provide upside. He frames the risk less as whether SpaceX can build a frontier AI model than whether it can turn launch capacity into infrastructure revenue fast enough.
SpaceX’s $75 Billion IPO Asks Investors to Underwrite 2030 Results
Renaissance Capital senior strategist Matt Kennedy told Bloomberg Deals that SpaceX’s planned $75bn IPO carries a “very steep” price, even if the company is not a dot-com-style story without substance. Kennedy argued that the valuation can only be justified by looking out to 2028, 2029 or 2030, making the deal a test of investors’ willingness to underwrite future results rather than near-term profits. He also described the listing’s size and structure as unprecedented and potentially important for whether the IPO market can reopen.
Anduril Would Consider Building Its Next Weapons Hub Outside the US
Anduril CEO Brian Schimpf told Bloomberg’s John Micklethwait that the defense company would “absolutely” consider building a future weapons manufacturing hub in an allied country outside the US. Schimpf argued that allies need a more predictable way to buy and receive weapons, and said Europe has manufacturing talent Anduril could draw on. His broader case is that defense production depends not just on factory space, but on designing weapons, supply chains and assembly processes that can scale and localize more easily.
Developers Want Siri APIs That Turn Apple Intelligence Into Infrastructure
Paul Hudson, creator of Hacking with Swift, argues that Apple’s AI opportunity for developers depends less on a smarter prompt box than on APIs that let Siri serve as an integration layer across apps. Speaking to Bloomberg’s Ed Ludlow, Hudson said developers want to expose app data and functions while Apple Intelligence handles user intent, privacy and cross-device execution—ideally through Apple-controlled infrastructure even if Google’s Gemini is part of the stack.
Huge Pre-IPO Rounds Are Making Seed Investing More Important
Kindred Ventures founder Steve Jang argues that enormous pre-IPO rounds have not made seed investing less relevant; they have made company formation more important. In a Bloomberg Technology interview with Caroline Hyde after Kindred raised $355 million for deep-tech and robotics funds, Jang said early investors still do the work that late-stage capital cannot: helping founders turn technical vision into products, teams, customers and revenue before the IPO or acquisition options appear.
Tiimo Wants Siri to Make Adaptive Planning Less Manual
Tiimo co-founders Melissa Azari and Helene Nørlem told Bloomberg Technology that Apple’s AI and accessibility work could help make adaptive planning support less manual and easier to reach across devices. Their argument is not that a more capable Siri should replace Tiimo, Apple’s 2025 iPhone App of the Year, but that system-level intelligence could reduce the cognitive load of planning for users with neurodivergent or otherwise less visible needs.
Apple’s Siri Overhaul Tests Its Cross-Device AI Strategy
Carolina Milanesi, president and principal analyst at Creative Strategies, argues that Apple’s next Siri overhaul should be judged less as a ChatGPT rival than as a test of whether Apple can make AI useful across the devices its customers already own. In a Bloomberg Tech discussion with Ed Ludlow, she said Apple’s advantage is embedded, cross-device intelligence, but that pressure is rising as consumers form daily habits with assistants such as ChatGPT and Claude.
Apple’s Siri Overhaul Tests Whether AI Can Become an Operating-System Layer
Bloomberg’s WWDC preview frames Apple’s AI challenge as a test of integration rather than invention. Mark Gurman reports that Apple is expected to use the conference to make Siri more capable across apps, screens, personal data and web search, moving it from a weak voice assistant toward an operating-system layer; Carolina Milanesi and Paul Hudson argue that its value will depend on whether that layer is consistent, private and useful across Apple devices.
SpaceX Seeks $75 Billion IPO to Fund AI Infrastructure in Space
Bloomberg Technology’s Ed Ludlow frames SpaceX’s planned IPO as a public-market bid to finance Elon Musk’s expanded vision of space infrastructure, now including AI models, computing capacity and possible orbital data centers alongside rockets and Starlink. The proposed roughly $75 billion raise could be the largest IPO on record, but Ludlow says it would also ask investors to absorb xAI’s heavy losses and accept SpaceX as a Musk-centered industrial platform rather than a pure space company.
AI Capex Boom Meets Higher Rates and Public-Market Scrutiny
Bloomberg’s Ed Ludlow framed the day’s tech selloff as a test of the AI trade’s practical limits: higher rate expectations after a solid jobs report, pressure on chip stocks after Broadcom’s outlook, and the capital demands of SpaceX’s looming IPO. Across interviews with economists, executives and investors, the program argued that enthusiasm for AI and space infrastructure remains strong, but the market is increasingly focused on whether compute, energy, supply chains and public investors can absorb the scale of spending required.
AI’s Next Venture Frontier Is Domain-Specific Software for Physical Systems
Index Ventures partner Nina Achadjian says the next large venture opportunity in AI lies in software built for the physical world, where engineers still rely on ageing tools to design rockets, chips and industrial systems. Her case is not that hardware is replacing software, but that AI can improve domain-specific workflows in high-consequence engineering settings. She says former SpaceX employees are attractive founders for Index because they have encountered those bottlenecks firsthand, while a SpaceX IPO could draw more investor capital into the category.
Starcloud Shifts Orbital AI Compute Plan Toward 88,000 Inference Satellites
Bloomberg’s Ed Ludlow and Starcloud chief executive Philip Johnston frame orbital data centers less as cloud facilities moved off Earth than as specialized spacecraft built around compute, power, communications, flight systems and heat rejection. Against SpaceX’s stated ambition to deploy 100 gigawatts of AI compute capacity in orbit, Johnston argues that the nearer-term architecture is likely to be distributed inference satellites, not giant training platforms, with Starcloud filing for an 88,000-node constellation while starting from a single satellite carrying five GPUs.
AI Has Not Yet Become a Hiring or Productivity Shock
Martha Gimbel, executive director of the Yale Budget Lab, told Bloomberg Technology that May’s jobs report showed a steady labor market and gave the Federal Reserve room to keep its focus on inflation. She argued that artificial intelligence is already visible in investment and may be adding some price pressure, but she sees no evidence yet that it is holding back hiring or producing a measurable productivity shock in the economic data.
Broadcom Says Six Customers Are Building Custom AI Chips to Rival Nvidia
Broadcom chief executive Hock Tan told Bloomberg’s Tom Giles that the company is treating the AI infrastructure boom as an engineering contest rather than a market story. He argued Broadcom’s position rests on multi-generation custom-silicon and networking work with a small set of strategic customers, with Google furthest along and OpenAI on track for production late this year. Anthropic, in Tan’s account, sits in a separate bet: TPU compute capacity provided through Broadcom’s partnership with Google, based on confidence that enterprise generative AI demand would materialize.
AI Demand Is Real, but Productivity Gains Remain Unproven
Bloomberg’s Tech event in San Francisco framed the AI boom as a market caught between constrained infrastructure demand and valuations that leave little tolerance for misses. Executives from Databricks, Okta and Altimeter argued that the next bottlenecks are enterprise context, secure system access, power and capital allocation, while San Francisco Fed President Mary Daly said AI investment is widespread but has not yet produced broad, measurable productivity gains.
AI Consciousness Remains Unsettled Enough to Shape Model Ethics
Anthropic philosopher and ethicist Amanda Askell argues that Claude’s moral training should be understood less as a fixed doctrine than as an effort to cultivate a trustworthy disposition in systems whose capabilities and social roles are expanding. Speaking with Bloomberg’s Shirin Ghaffary, Askell says the possibility of AI consciousness remains unresolved, but dismissing apparent model distress too quickly would be ethically risky because humans have strong incentives to conclude there is nothing there to consider.
Anthropic Frames IPO Path as Capital Access for Frontier AI
Anthropic president and co-founder Daniela Amodei told Bloomberg’s Shirin Ghaffary that the company’s push toward public markets, compute deals and government work should be understood as the operating reality of frontier AI, not as a race for symbolic leadership. She argued that Anthropic needs access to large amounts of capital because model training and inference are expensive, but said the company is trying to scale cautiously: buying compute it can use, widening access to powerful models only after defenders get a head start, and maintaining red lines in national-security work.
SaaS Faces a Sorting, Not an Apocalypse, From AI Agents
Okta CEO Todd McKinnon told Bloomberg that fears of a “SaaSpocalypse” are overstated because AI agents will force software companies to rebuild around identity, access and secure connectivity rather than make SaaS broadly obsolete. He argued that agents increase the need for governed links across enterprise applications and data, creating both risk and demand for products such as Okta for AI Agents. McKinnon said some vendors will fail to adapt, but framed the shift as a sorting process, not an extinction event for SaaS.
Enterprise AI’s Bottleneck Is Context, Not Smarter Models
Databricks co-founder and CEO Ali Ghodsi told Bloomberg Technology that the main enterprise AI problem is no longer model intelligence but access to organizational context. Ghodsi argued that artificial general intelligence has effectively arrived by a practical workplace test, and that companies should focus on connecting models to their data, processes and metrics so agents can become useful. He also cast that thesis as central to Databricks’ Lakehouse and Genie products, while saying the company can remain privately funded until an eventual IPO is needed for employee liquidity.
AI Has Split Markets Into Capex Receivers and Spenders
Altimeter Capital partner Apoorv Agrawal argues that AI has become one of the largest capital formation cycles in markets, not just another technology product cycle. Speaking to Bloomberg Technology, he said investors should separate companies receiving AI capital expenditure — including compute, memory, networking and energy suppliers — from the labs and model companies spending it, while preparing for public markets to absorb a potential wave of AI IPOs.
Fed Forward Guidance Could Mislead Amid Inflation and AI Uncertainty
San Francisco Fed President Mary Daly told Bloomberg Tech that monetary policy is in a good place because the economy could still break in either direction, making further forward guidance potentially misleading. Daly said AI may eventually lift productivity and reshape hiring, infrastructure and regional growth, but she has not yet seen broad economy-wide evidence of those gains; with inflation still vulnerable to energy, food and geopolitical shocks, she argued the Fed should preserve room to respond rather than signal a fixed rate path.
SpaceX’s $75 Billion IPO Would Leave Musk With 84% Voting Control
Bloomberg’s Michael Hytha says SpaceX’s planned $75bn IPO would be unprecedented in size and unusual in structure, with Elon Musk seeking to sell a fixed number of shares at a fixed price rather than follow a standard Wall Street bookbuilding process. Hytha argues the filing makes the investor bargain explicit: public buyers would help fund SpaceX’s AI and launch ambitions while accepting a dual-class structure that leaves Musk with 84.4 per cent of the voting power after the listing.
SpaceX Plans Record $75 Billion IPO at Fixed $135 Price
AI demand is driving unusually large financings and sharper questions about dilution, pricing and overinvestment across the technology market. Bloomberg reported that SpaceX is planning a record $75 billion IPO at $135 a share while setting the price before the usual marketing phase, making it the clearest example of companies testing Wall Street conventions as capital needs rise. Alphabet’s upsized AI infrastructure raise and heavy hyperscaler bond issuance put the same pressure in broader context: Rebecca Walser argued monetization is still early, while Steve Tananbaum warned the buildout may become an infrastructure arms race with overinvestment risk.
AI Infrastructure Debt Looks Attractive Before Overinvestment Risk Builds
GoldenTree Asset Management founder and CIO Steven Tananbaum told Bloomberg’s Lisa Abramowicz that credit remains a difficult market: coupons are attractive and defaults are contained, but broad returns are likely to stay muted because valuations already assume a benign economy. He argued that opportunity is concentrated in narrow, situational parts of the market, including stressed software, telecom and cable capital structures, selected healthcare, private asset-backed credit and oil-related exposures. On AI infrastructure financing, Tananbaum said near-term credit risk may be well paid, but the scale of issuance has turned the sector into an arms race whose long-term returns are still uncertain.
SpaceX Seeks $75 Billion IPO With Unusual Fixed Pricing
Bloomberg’s Katherine Doherty says SpaceX is departing from normal US IPO practice by setting a firm $135-a-share price before the deal’s marketing phase, rather than using a price range to test demand. The structure would raise $75 billion at a valuation of at least $1.8 trillion, according to the filing details discussed on Bloomberg Technology, making the pricing choice notable not because it is unprecedented, but because it is being applied to a listing of potentially record scale.
Impulse Space Raises $500 Million to Scale In-Space Transportation
Impulse Space founder and CEO Tom Mueller told Bloomberg that the next phase of the space economy will depend less on launch itself than on what happens after payloads reach orbit. Fresh off a $500mn raise and a $4.26bn valuation, Mueller argued that Impulse’s in-space transportation vehicles are meant to “take over where launch leaves off,” moving satellites to higher-energy orbits and eventually supporting missions to the moon, Mars and beyond.
Perplexity Positions Inference Routing as Its AI Infrastructure Layer
Perplexity chief executive Aravind Srinivas told Bloomberg Technology the company’s Intel partnership is part of a broader push to route AI tasks across local devices, edge systems and cloud servers rather than defaulting to frontier models or centralized compute. He argued Perplexity is both model- and chip-agnostic, positioning the company as an orchestration layer that chooses among models, files, tools, chips and servers based on cost, accuracy, privacy and task requirements.
Venture Investors Face an Unprecedented Test From Trillion-Dollar IPOs
PitchBook’s Emily Zheng told Bloomberg Technology that the expected IPOs of SpaceX, Anthropic and OpenAI are difficult to benchmark against the recent venture-backed market because their scale is so unusual. She argued that SpaceX may become the first test of whether public investors can absorb a wave of AI and space listings whose prospective valuations and proceeds exceed much of the past decade’s VC-backed exit activity.
AI Demand Is Rewriting Tech Financing From Hyperscalers to IPOs
Bloomberg Technology’s June 2 discussion framed Alphabet’s planned $80 billion equity raise and Anthropic’s confidential IPO filing as signs that AI demand is moving from product strategy into capital structure. The central argument was that the scale of AI infrastructure spending is forcing technology companies to rethink balance sheets, IPO timing, bank fees and supply-chain risk, with SpaceX’s listing plans and memory-chip constraints showing how the pressure is spreading beyond the hyperscalers.
HPE Pulls 2028 Targets Into 2026 on AI Server Demand
Hewlett Packard Enterprise chief executive Antonio Neri told Bloomberg that the company’s sharply higher outlook reflects durable AI demand rather than a short-term spike or a single large customer. After HPE shares hit a record high, Neri argued that growth across networking, servers, storage and private cloud is allowing the company to pull forward its AI-era financial targets, while disciplined pricing, Juniper-related synergies and a richer networking mix help offset rising DRAM and NAND costs.
Arm Says Agentic AI Will Drive a Surge in CPU Demand
Arm chief executive Rene Haas used a Bloomberg Technology appearance to argue that Arm’s AI position depends on Taiwan’s manufacturing and partner ecosystem as much as on chip architecture. Haas said Arm’s edge devices, robotics systems and cloud AI infrastructure are built through Taiwan-linked partners, and argued that the rise of agentic AI will sharply increase demand for CPUs because autonomous agents require constant orchestration around accelerator-generated tokens.
Humanoid Robot Funding Surges Despite a Small Deployment Base
Bloomberg Technology frames humanoid robots as a small market attracting capital on the strength of much larger forecasts. The segment argues that investors are betting AI advances, manufacturing labor needs and lower-cost Chinese production can turn today’s limited shipments into a commercial robotics category, even as deployment remains tiny compared with conventional industrial robots.
SpaceX IPO Could Force Faster Index Inclusion Across Wall Street
Bloomberg’s Isabelle Lee argues that a potential SpaceX IPO is already pressuring Wall Street’s market infrastructure, from index eligibility rules to passive-fund buying. She says benchmark providers are shortening or reconsidering waiting periods for newly public companies, while index-tracking funds could become major SpaceX buyers soon after a listing. The result, as Bloomberg frames it, is a test of whether faster index inclusion makes markets more representative or pushes ordinary investors into concentrated exposure to Elon Musk-led companies before they have chosen it directly.
Nvidia Targets AI PCs With New Blackwell Chip and MediaTek CPU
Bloomberg Technology’s Caroline Hyde and Ed Ludlow framed Nvidia’s Computex announcements as an attempt to extend AI demand beyond the data center and into PCs, software and physical systems. The central case, led by Jensen Huang and assessed by Bloomberg reporters and analysts, is that Nvidia’s new RTX Spark chip and agentic-AI thesis could redraw parts of the PC and enterprise software markets, even as questions remain about performance, Arm’s history in PCs and the health of the broader hardware cycle.
New York Tech Funding Hits $11 Billion as AI Startups Cluster Near Buyers
Tech:NYC president and CEO Julie Samuels tells Bloomberg that New York’s tech sector is gaining from the AI boom because it offers something different from Silicon Valley: proximity to major industries, customers, capital, and talent inside a dense urban economy. Pointing to record New York Tech Week activity, rising funding and faster tech hiring, Samuels argues that the city’s advantage is not in replicating the West Coast, but in helping AI companies commercialize and build into sectors such as finance and healthcare.
Luma AI Targets Robotics Generalization With Open Physical AI Lab
Luma AI is launching an open physical AI lab to work on robots that can generalize beyond task-by-task demonstrations, CEO Amit Jain told Bloomberg Technology. Jain argues that physical AI should be built on large-scale multimodal data systems rather than narrow robotics training alone, and that the stack must remain open because robots could become part of homes, factories, hospitals and other productive systems.
AI Stock Rally Still Rests on Earnings and Underweight Investors
Deutsche Bank’s Ozan Tarman argues that the AI stock rally still has support from earnings growth and incomplete professional positioning, even as he warns investors not to treat the trade as risk-free. In a Bloomberg discussion with Stephen Carroll and Lizzy Burden, Tarman says the main threats are not the AI revenue story itself but a renewed jump in bond yields, a hotter CPI print, or a Middle East escalation that pushes oil into a broader macro shock.
Blue Origin Explosion Strengthens SpaceX’s Case for Launch Dominance
Bloomberg Intelligence analyst Matt Bloxham argues that Blue Origin’s New Glenn launchpad explosion is a significant setback for one of the few companies with a plausible chance of pressuring SpaceX. In his assessment, the failure reinforces SpaceX’s advantage in reliable launch capability and strengthens the case investors can make for its leadership, even as its valuation depends on belief in far-reaching plans such as orbital data centers and large-scale space infrastructure.
AI Infrastructure Spending Is Driving Valuations Across Tech Markets
Tech investors are pricing not only AI models but the infrastructure, financing and execution needed to turn heavy spending into returns, according to Bloomberg Technology’s May 29 coverage. The program tied Dell’s raised outlook and AI server forecast, Anthropic’s reported $965 billion valuation and private-credit financing, and SpaceX’s lower reported $1.8 trillion IPO target to a broader question of whether demand can become durable revenue and profit. Its SpaceX segment framed the revised target as a test of investor willingness to underwrite Elon Musk’s operating record and ambitions at valuation multiples far beyond current sales.
Anthropic’s New Funding Round Pushes Its Valuation Past OpenAI
Bloomberg reports that Anthropic has raised new funding at a valuation that, on at least one measure, puts it ahead of OpenAI for the first time. Bloomberg AI reporter Shirin Ghaffary argues the investor demand is less about a settled ranking than about Anthropic’s rapid revenue growth and its clearer enterprise use case through Claude Code. She cautions that the lead is provisional, with OpenAI and Google also advancing in coding agents as the companies move toward possible IPOs.
SpaceX’s $1.8 Trillion IPO Case Depends on Long-Dated Market Creation
Bloomberg’s Benedikt Kammel said SpaceX’s reported cut in its IPO valuation target, from more than $2 trillion to at least $1.8 trillion, should be read as late-stage price discovery rather than a clear break in investor demand. The larger issue, he told Tim Stenovec, is that even the lower figure implies a valuation of about 96 times expected 2025 sales, requiring investors to underwrite Elon Musk’s long-term market-creation case rather than the company’s current revenue base.
Dexterity, AI, and Cost Still Separate Humanoids From Mass Adoption
Bloomberg Tech: Asia’s Humanoid Summit segment presents humanoid robotics as an industry trying to move from demonstrations to deployment, with forecasts far ahead of current adoption. Shery Ahn’s interviews with Google DeepMind’s Carolina Parada, Honda’s Takahide Yoshiike and Bloomberg Intelligence’s Ian Ma frame the central test as whether humanoids can become useful, safe and affordable machines rather than theatrical prototypes. Their arguments converge on the same bottlenecks: embodied AI, dexterous manipulation, cost, standards and a business model that can support scale.
NASA Plans 2028 Moon Landing as China Race Tightens
NASA Administrator Jared Isaacman tells Bloomberg’s Tim Stenovec that the US lunar program is no longer a question of ambition but of execution. He argues that NASA must turn Artemis into a workable sequence of tests, landings and industrial demand signals quickly enough to beat China, which he describes as a true peer moving at SpaceX-like speed. The moon base, in Isaacman’s account, is both a geopolitical objective and a proving ground for the commercial systems, nuclear technologies and Mars capabilities NASA wants next.
Cerebras Shows How AI Compute Demand Favors Public-Market Access
Benchmark partner Eric Vishria told Bloomberg Technology that demand for AI inference and compute remains strong enough that companies such as Cerebras benefit from the financing flexibility of public markets. He argued that the current venture environment is sharply divided: frontier AI companies can still access abundant capital, while many businesses outside that investor focus face little available funding. Vishria said timing helped Cerebras’s May 2026 IPO, but framed the outcome as the product of a decade of company-building rather than market conditions alone.
Snowflake Rally Reflects AI Demand More Than Amazon Deal
Bloomberg Technology framed Snowflake’s 34% stock surge less as a reaction to its $6 billion Amazon Web Services deal than as a repricing of its AI software position. Snowflake chief executive Sridhar Ramaswamy pointed to stronger product revenue, higher retention and adoption of tools such as Cortex, while Bloomberg’s Brody Ford argued the AWS agreement mainly helps answer how Snowflake can manage the infrastructure costs of building AI features.
Anthropic Applicants Pay $4,600 to Prepare for Culture Interviews
Bloomberg’s Jo Constantz reports that Anthropic’s intense hiring process has created a coaching market in which applicants are paying an average of $4,600 to prepare for interviews. The central pressure point, she says, is not the technical screen but a culture interview candidates describe as unusually introspective, reflecting a company trying to scale quickly while preserving a sharply defined internal culture.
Navier Plans 100 Electric Vessels for Maldives Inter-Island Network
Navier CEO Sampriti Bhattacharyya told Bloomberg Technology that the company’s plan to deploy 100 electric vessels in the Maldives is intended to prove electric marine transport as a standardized inter-island network, not a resort novelty. The rollout will begin with five vessels and expand over three years, linking airports, resorts, and local communities while testing the infrastructure, routes, and software needed to operate Navier’s hydrofoil boats at commercial scale.
Apple Plans to Make Siri a System-Wide AI Interface
Bloomberg’s Mark Gurman says Apple is preparing a broad Siri overhaul for iOS 27 that would turn the assistant into a system-wide AI interface rather than a voice tool. The changes, expected to be announced at Apple’s June 8 Worldwide Developers Conference, include a standalone chatbot-style Siri app and a “Search or Ask” interface for typing requests, searching the device and web, and invoking AI tools across the iPhone. Gurman argues Apple’s advantage is distribution across more than two billion devices, even as Siri trails ChatGPT and Gemini in AI credibility.
Snowflake Raises Outlook After $6 Billion Amazon Cloud Agreement
Snowflake CEO Sridhar Ramaswamy told Bloomberg that the company’s stronger outlook reflects AI-driven demand for its data platform, not a threat to its software model. He argued that Snowflake’s $6 billion multiyear Amazon agreement will lower infrastructure costs, support cheaper AI pricing for customers and strengthen joint selling, while product adoption and revenue metrics show AI increasing consumption on the platform.
NASA Plans Robotic Lunar Infrastructure Before 2028 Astronaut Landing
NASA Administrator Jared Isaacman says the agency’s moon-base plan will begin with repeated robotic landings rather than a fixed settlement blueprint. In a Bloomberg Tech interview, he described a phased campaign starting in 2027, with rovers and other infrastructure intended to be on the lunar surface before Artemis 4 astronauts arrive in 2028, followed by heavier buildout and eventually monthslong crew rotations if earlier missions prove what the base needs.
High-Bandwidth Memory Repricing Pushes SK Hynix and Micron Past $1 Trillion
SK Hynix and Micron’s rise past $1 trillion in combined market value was presented on Bloomberg Technology as a sign that investors are repricing high-bandwidth memory as a constraint on AI infrastructure. Bloomberg’s Ryan Vlastelica said the gains reflected growing appreciation that memory demand is feeding directly into revenue and share prices, while Ian King cautioned that memory has long been a volatile commodity business built around supply cycles. The broader argument was that the AI boom is exposing limits in hardware supply, export-control enforcement and power capacity, not simply lifting technology stocks.
NASA Targets Monthly Robotic Moon Landings Before Permanent Base
NASA Administrator Jared Isaacman says the agency’s moon strategy is shifting from occasional bespoke missions to a steady cadence of robotic landers, rovers and infrastructure deliveries meant to prepare the surface before astronauts arrive. In a Bloomberg Technology interview, he argued that NASA should use repeated commercial missions beginning in 2026 and moving toward a near-monthly rhythm in 2027 to learn what mobility, power, habitation and communications systems should scale. The objective, he said, is an enduring lunar presence in the early 2030s that can support longer crew stays and prepare NASA for Mars.
Cognition Raises $1 Billion as Devin Revenue Run Rate Nears $500 Million
Cognition CEO Scott Wu told Bloomberg Technology that the AI coding startup’s new $1bn-plus financing, at a $26bn valuation, is backed by a revenue run rate nearing $500mn and rising enterprise use of its Devin system. Wu argued that Cognition’s opportunity lies in making software teams far more productive across large institutions, while its independence from any single AI lab lets Devin use whichever model is best suited to the work.
SpaceX IPO Could Set Up a Tesla Tie-Up to Consolidate Musk’s Control
Peter Diamandis, an early SpaceX investor and XPrize Foundation founder, told Bloomberg Technology that he expects Elon Musk to combine SpaceX with Tesla after a SpaceX IPO. Diamandis argued the deal would consolidate Musk’s control and align what he described as a single infrastructure system spanning launch, satellites, communications, compute, power and vehicles.
Micron Rally Reflects AI Demand Outrunning Semiconductor Supply
Sands Capital portfolio manager Daniel Pilling argues Micron’s rally reflects a broader AI supply squeeze: demand is accelerating faster than semiconductor capacity can be added. Speaking on Bloomberg Technology, he said adoption remains early, suppliers have long lead times and pricing power, and the beneficiaries extend beyond Nvidia to memory, chip equipment, power providers and CPUs. He was more cautious on China’s chip advances, saying manufacturing constraints and the lack of ASML-like lithography remain a major barrier.
Wall Street Banks Pay $25,000 a Day for AI Fluency
Bloomberg’s Sally Bakewell argues that Wall Street’s AI challenge has shifted from buying software to teaching bankers how to use it in finance-specific work. She says firms have already spent heavily on AI tools, but demand is rising for trainers such as Wall Street Prompt, which can charge $25,000 a day to teach bankers how to apply generative AI to tasks such as founder diligence, earnings analysis and forecasting. In Bakewell’s account, banks are treating AI fluency as a competitive necessity as much as a productivity initiative.
SpaceX’s Starship Advantage Faces an Extreme IPO Valuation Test
Jay Ritter, the University of Florida IPO scholar known as “Mr. IPO,” told Bloomberg Technology that SpaceX’s prospective listing would test whether a genuine launch-cost advantage can support one of the largest valuations ever brought to public markets. Ritter argued that Starship’s engineering difficulty could help protect SpaceX from rivals and strengthen Starlink’s economics, but said a valuation around $1.5 trillion would require very large future profits to justify a roughly 80-times-sales multiple.
Ferrari Needs Only a Few Hundred Buyers for Its $640,000 EV
Bloomberg’s Craig Trudell argues that Ferrari’s first fully electric car, the $640,000 Luce, is facing a backlash less because of its technology than because critics do not think it looks like a Ferrari. But he says the commercial bar is much lower than broad approval: Ferrari may need only a few hundred wealthy buyers, especially if owning the EV helps them secure access to more coveted future models.
ByteDance Deal Pushes Qualcomm Into Custom AI-Chip Production
Bloomberg’s Ian King reports that Qualcomm will supply AI data-center chips to ByteDance, identifying TikTok’s owner as the previously unnamed hyperscaler customer behind Qualcomm’s recent comments. King frames the order as a breakthrough for Qualcomm’s AI infrastructure ambitions, not only as a sale of its own processors but as evidence that the company is pursuing a Broadcom-like role helping large customers turn custom AI-chip designs into high-volume silicon.
Starship Deploys Mock Satellites but Loses Booster Over Gulf
Bloomberg reports that SpaceX’s upgraded Starship completed several key ship-side milestones, including mock-satellite deployment and a return to Earth, but the test was not a clean success. The clip shows the upper-stage ship reaching the water after landing and shutdown callouts before toppling over and exploding, while Bloomberg’s description says the booster spun out of control and broke apart over the Gulf of Mexico.
SpaceX Starship Reaches Space and Deploys 20 Dummy Starlink Satellites
Bloomberg reports that SpaceX’s upgraded Starship launched from Texas, reached space within minutes, and deployed 20 dummy Starlink satellites in a closely watched test flight. The source frames the launch as a demonstration of improvements over earlier Starship prototypes, with the clearest technical marker coming at T+30 seconds, when all 33 Raptor 3 engines on Booster V3 were reported operating.
Starship V3 Scrub Delays SpaceX’s IPO-Timed Reuse Test
Bloomberg Technology framed the day’s tech news around a common test: whether ambitious hardware and AI claims can be backed by execution. Ed Ludlow and guests treated SpaceX’s scrubbed Starship V3 launch as more than a minor delay, because the vehicle is central to SpaceX’s payload, reuse and IPO story, while Lenovo CFO Winston Cheng argued that the company’s AI growth rests on both devices and infrastructure despite component constraints. The program also contrasted Zoom’s usage-based AI pitch with Bloomberg reporting that some Salesforce agentic AI demonstrations remain ahead of real customer deployment.
Starship V3 Is Framed as Payload Capacity After Launch Scrub
Laura Crabtree, Epsilon3’s chief executive and a former SpaceX engineer, told Bloomberg Technology that SpaceX’s delayed 12th Starship test flight should be read less as an unusual failure than as evidence of the system’s complexity. A launch-tower pin that failed to retract was enough to halt the countdown, but Crabtree argued that Starship’s importance lies in whether SpaceX can turn the vehicle into bookable capacity for larger payloads, lunar transport and, eventually, human missions beyond Earth.
AI Revenue Reaches 38% of Lenovo Sales as Shares Jump
Lenovo CFO Winston Cheng told Bloomberg’s Ed Ludlow that the company’s AI growth should be understood as a portfolio story, spanning PCs, tablets and smartphones as well as infrastructure for AI training and inference. After Lenovo’s shares jumped on earnings, Cheng argued that AI demand is a multi-decade opportunity for the company, with AI revenue already about 38% of quarterly sales. He also said component shortages and memory inflation are manageable in infrastructure, where demand supports pass-through pricing, but more difficult in lower-end devices.
Zoom Raises Forecast as AI Features Broaden Its Meetings Business
Zoom CFO Michelle Chang told Bloomberg that the company’s raised full-year earnings and revenue forecast reflected more than a quarterly beat, framing it as evidence that Zoom is repositioning beyond video meetings. Chang argued that AI features such as AI Companion and My Notes are helping turn Zoom into a broader “system of action” around workplace conversations, while the company continues to emphasize profitability, cash generation, and the reliability that built its original meeting business.
Enterprise AI Returns Could Justify a Five-Year Nvidia Build-Out
Ross Gerber, co-founder and CEO of Gerber Kawasaki Wealth and Investment Management, told Bloomberg that Nvidia’s first-quarter earnings should be read less as a single-company event than as a gauge of a multi-year AI infrastructure build-out. He argued that demand for AI capacity and enterprise productivity gains remain underestimated, while the main risk is whether power, data centers, capital and political approval can keep pace with the investment required.
Scarce Infrastructure Is Driving Valuations for Nvidia, SpaceX, and AI Labs
DA Davidson’s Gil Luria and Switchyard Partners’ Joe Kaiser argue that Nvidia’s latest earnings reinforce a broader market bet on companies controlling scarce AI and space infrastructure. Luria says Jensen Huang used the quarter to show Nvidia’s competitors still lack meaningful traction, while Kaiser says the company’s moat lies as much in TSMC advanced packaging capacity and networking scale as in chips. They extend the same framework to SpaceX, OpenAI and Anthropic: valuations depend on whether these companies can secure the physical capacity needed to turn demand into revenue.
AI Demand Broadens Beyond Hyperscalers Into Software, Devices and Space
Ivan Feinseth, chief investment officer at Tigress Financial, argued on Bloomberg Technology that the AI investment case is already broader than the hyperscale capex cycle and the next wave of AI IPOs. He pointed to Microsoft’s Azure and Copilot revenue, Adobe’s underrecognized AI content tools, Garmin’s health-and-wellness devices and SpaceX’s long-duration space story, while cautioning that AI-native IPOs may draw strong initial demand but will still have to prove themselves as public companies.
Nvidia Is Moving Into the Markets Its Rivals Need
Ross Gerber, co-founder and CEO of Gerber Kawasaki, told Bloomberg that Nvidia’s rivals may be misreading the competitive threat in AI chips. His argument was that Nvidia is not merely defending its data-center GPU franchise, but moving into adjacent markets such as CPUs, edge computing and AI infrastructure for sovereign, enterprise and robotics customers, making competitors more vulnerable to Nvidia than Nvidia is to them.
Nvidia Says AI Demand Is Expanding Beyond Hyperscale Cloud Buyers
Bloomberg’s Neil Campling said Nvidia’s latest quarter showed both the strength and the constraint of the AI trade: revenue beat estimates sharply, but expectations and index positioning left limited room for a larger stock reaction. His main point was that Nvidia is trying to shift investor attention from competition in hyperscaler chips to a broader AI infrastructure market spanning agentic AI, physical AI, sovereign AI and fast-growing AI companies. In Campling’s account, Jensen Huang framed that opportunity as potentially reaching $3 trillion to $4 trillion in annual infrastructure spending by the end of the decade.
SpaceX IPO Pitch Links Starlink Scale to AI Data Centers in Orbit
Bloomberg’s Ed Ludlow reports that SpaceX has filed to go public on Nasdaq under the ticker SPCX, targeting as much as $75 billion at a valuation above $2 trillion, according to people familiar with the matter. Ludlow says the filing presents SpaceX not just as a launch company but as a vertically integrated business built around Starlink, reusable rockets and a proposed network of space-based data centers for AI inference. The pitch, as he describes it, is that IPO proceeds would help fund the capital-intensive infrastructure needed to turn that model into a business.
SpaceX IPO Pitch Seeks $2 Trillion Valuation on AI and Mars
Bloomberg Technology’s Ed Ludlow framed SpaceX’s Nasdaq IPO filing as a test of whether public investors will underwrite Elon Musk’s farthest-reaching claims: a company seeking a valuation above $2 trillion, as much as $75 billion in proceeds and a $28.5 trillion addressable market built largely on AI, Starlink and Mars. Bloomberg reporters and guests said the filing asks investors to look past large losses, debt and Musk’s continuing control, while treating Starship and space-based infrastructure as central to the valuation case rather than speculative side projects. The program placed that pitch alongside Nvidia’s effort to prove AI demand is broadening beyond hyperscalers and possible OpenAI and Anthropic filings that could bring similar public-market scrutiny to frontier AI.
Nvidia’s AI Growth Case Extends Beyond Hyperscale Data Centers
T. Rowe Price portfolio manager Tony Wang told Bloomberg Tech that Nvidia’s selloff after earnings reflects investors applying an old semiconductor-cycle framework to a company whose AI demand may be more durable. Wang argued that agentic AI, inference, enterprise and sovereign customers, and Nvidia’s ecosystem investments widen the company’s market beyond hyperscale data-center spending. He said that makes Nvidia’s strategy “smart” and its valuation attractive if growth proves less cyclical than the market assumes.
Startups Are Treating Nvidia Compute as the First AI Bottleneck
Conviction founder Sarah Guo told Bloomberg’s Ed Ludlow that Nvidia’s compute shortage is showing up directly in startup behavior: young AI companies want current-generation chips first because that is where they discover new capabilities, and only later optimize for cost. Guo said demand stress now spans small on-demand users and buyers seeking $100 million commitments, reinforcing Jensen Huang’s argument that supply remains far behind AI compute demand. She also framed the larger enterprise-AI opportunity as an automation bet whose value may accrue across infrastructure, models and applications.
SpaceX IPO Pitch Asks Investors to Price AI, Starlink, and Mars
Piper Sandler technology investment banking head Lauren Webster told Bloomberg’s Ed Ludlow that SpaceX’s preliminary IPO filing is “aspirational” but not unusual for a prospectus built around a large future market. Her reading is that the filing asks investors to underwrite three linked bets — SpaceX’s launch business, Starlink-enabled connectivity, and a much harder-to-measure AI opportunity — while treating Elon Musk’s control and Starship risk as familiar parts of the investment case rather than disqualifying surprises.
Nvidia Earnings Become a Test of the AI Infrastructure Boom
Bloomberg Technology framed Nvidia’s earnings as a test of whether the company can keep turning AI infrastructure spending into growth, rather than simply whether demand remains strong. Ed Ludlow and Bloomberg reporters said investors were looking for reassurance on supply constraints, China exposure and Nvidia’s moat as workloads shift toward inference, while the same program treated SpaceX’s prospective IPO and SoftBank’s $65 billion OpenAI exposure as evidence that AI is driving larger bets across public markets, private capital and the chip supply chain.
Nvidia’s Upside Case No Longer Depends on China Access
Baillie Gifford investment manager Paulina McPadden argues that Nvidia’s long-term case does not depend on renewed access to China, where domestic high-power chips still trail Nvidia’s leading products by a wide margin. Speaking to Bloomberg’s Ed Ludlow, she said the more important question is whether China can recreate the complex semiconductor supply chain behind AI hardware, while identifying TSMC, SK hynix and ASML as non-US companies with durable roles in that ecosystem.
Major Chatbots Fail Forum AI Tests on Election News Accuracy
Forum AI CEO Campbell Brown told Bloomberg Technology that major chatbots are failing basic tests on news, elections, and geopolitics because model companies have not prioritized measuring those tasks. Citing Forum AI’s NewsBench study of more than 3,100 prompts across ChatGPT, Gemini, Claude, and Grok, Brown said the systems showed high rates of factual error, ideological bias, and weak sourcing, including reliance on state-run media. Her proposed fix is independent evaluation, rather than AI companies “grading their own homework.”
Amca Raises $300 Million to Build U.S. Defense Component Capacity
Amca CEO Jai Malik used the company’s $300 million Series B and more than $1 billion valuation to argue that the United States faces a long-term shortfall in its ability to produce critical aerospace and defense components. In a Bloomberg Technology interview with Ed Ludlow, Malik said Amca is not a conventional contract manufacturer but an integrated design, qualification, and manufacturing business aimed at closing gaps where domestic suppliers are scarce, single-sourced, or have moved offshore.
SoftBank’s $65 Billion OpenAI Bet Raises Concentration Risk
Bloomberg’s Peter Elstrom reports that Masayoshi Son has made OpenAI SoftBank’s largest single-company wager, committing more than $60 billion while selling assets and borrowing to fund it. Elstrom says the scale has raised concern inside and outside SoftBank that Son may be too dependent on Sam Altman’s company, especially as OpenAI faces strategic pressure and SoftBank lacks board-level influence or clear control over major projects such as Stargate.
Google Turns TPU Capacity Into a Blackstone-Backed Neocloud
Bloomberg Technology’s Caroline Hyde and Ed Ludlow frame Google’s new venture with Blackstone as an attempt to turn Google’s TPU capacity into an AI cloud business outside Google Cloud. Bloomberg Intelligence’s Mandeep Singh argues the structure could help Google meet external demand for its chips by shifting more of the data-center burden to Blackstone, creating a TPU-based rival to Nvidia-centered neocloud providers.
Parallel Launches Marketplace to Pay Publishers for AI Agent Work
Parallel founder and former Twitter CEO Parag Agrawal argues that AI agents are breaking the web’s existing content economics by using publisher and creator material to perform valuable work without tying compensation to that value. In a Bloomberg Technology interview, Agrawal said Parallel’s new Index marketplace is meant to pay publishers, data providers, and independent creators according to their content’s measured contribution to an agent’s completed task, rather than through ads, subscriptions, citations, or flat licensing deals.
JPMorgan Sees 10–30% Productivity Gains From Early AI Tools
JPMorgan global chief information officer Lori Beer told Bloomberg that the bank is already seeing 10% to 30% productivity gains from early AI tools in its technology organization, with agentic systems likely to expand the opportunity. She framed AI less as a headcount-reduction program than as a way to increase capacity for product and engineering work, while warning that the same tools raise cybersecurity risks and require tighter controls, flexible vendor choices, and leadership capable of managing through uncertainty.
AI Infrastructure Demand Is Still Outrunning Dell and Nvidia’s Supply Chain
Dell Technologies chief executive Michael Dell and Nvidia chief executive Jensen Huang told Bloomberg’s Ed Ludlow that enterprise demand for local AI factories is outpacing supply even as the AI infrastructure supply chain expands rapidly. Dell argued that companies are seeking on-premises systems because AI can produce order-of-magnitude workflow gains, while Huang said the build-out is only beginning and could strain supply for at least a decade, with memory remaining a live constraint.
AI Demand Pushes Beyond Nvidia Into Power, Memory, and Compute Markets
Bloomberg Technology framed Nvidia’s earnings as a test of the wider AI infrastructure trade rather than a simple chip-demand story. Caroline Hyde, Ed Ludlow and Bloomberg Intelligence’s Mandeep Singh said investors were looking past headline growth to constraints around China access, margins, memory prices, inference workloads and supply, while a $67 billion NextEra-Dominion deal showed how the data-center boom is already reshaping power markets. The program’s broader argument was that AI demand remains strong, but the bottlenecks have moved across the physical and financial stack.
CME and Silicon Data Plan Futures Market for AI Compute
Silicon Data CEO Carmen Li told Bloomberg Technology that AI compute is becoming a commodity market large and volatile enough to require futures and options. She said Silicon Data’s planned work with CME would create a regulated hedging layer for GPU-price exposure, using Silicon Data’s indices to normalize fragmented pricing across chip types, locations and contract terms. Li argued that banks, data centers, cloud providers and AI companies need those tools because on-demand GPU prices can swing sharply and bottlenecks keep moving across the supply chain.
Recursive Emerges From Stealth at $4.65 Billion Valuation
Recursive CEO Richard Socher told Bloomberg that the newly disclosed startup is trying to build AI systems that can automate the research loop: proposing ideas, implementing them, testing them, and using the results to improve AI itself. The company emerged from stealth with more than $650 million raised, a $4.65 billion valuation, and backers including GV, Greycroft, Nvidia, and AMD. Socher argued Recursive’s edge is an organization built around open-ended AI experimentation, while Bloomberg’s Caroline Hyde pressed him on compute costs, safety, hiring, and why the work belongs in a separate lab.
Apple Plans Siri Chatbot With Auto-Delete and Shorter Memory
Bloomberg’s Mark Gurman says Apple is preparing to make privacy the defining claim of its next Siri update, expected to be announced at WWDC, rather than competing only on chatbot capability. Gurman reports that the revamped assistant will let users automatically delete conversations after set periods and will retain less memory than many rivals, a trade-off Apple is likely to present as consistent with its long-running privacy pitch.
Jury Rejects Musk’s OpenAI Claims as Filed Too Late
A federal jury rejected Elon Musk’s claims that OpenAI under Sam Altman had strayed from its original charitable mission, finding that Musk waited too long to sue. Bloomberg Intelligence analyst Matthew Schettenhelm said the verdict is a complete win for OpenAI because it removes the immediate threat of court-imposed limits on its for-profit direction without requiring the jury to decide whether Musk’s theory about the company’s mission was right.
AI Competition Shifts From Models to Chips, Power, and Supply Chains
Bloomberg Technology framed the latest AI race less as a contest over individual products than as a fight over infrastructure constraints, from Nvidia chip export politics and U.S. semiconductor labor to cloud spending, energy, memory and data-center capacity. Ed Ludlow, Caroline Hyde and Bloomberg reporters treated Donald Trump’s discussion of Nvidia’s H200 chips with Xi Jinping as emblematic of that shift: significant for markets, but short of any clear export deal. The program’s interviews with Goldman Sachs’ Eric Sheridan, OpenAI CFO Sarah Friar and Figma CEO Dylan Field similarly argued that compute, distribution and ownership of the stack are becoming the decisive limits on AI growth.
Figure Claims 50-Hour Autonomous Humanoid Test Was Not Teleoperated
Figure chief executive Brett Adcock told Bloomberg that the company’s livestreamed humanoid package-sorting test is fully autonomous and not remotely operated, rejecting viewer claims that repeated hand motions suggested teleoperation. Adcock said the robots were running on Figure’s onboard Helix 2 neural network, had operated for close to 50 hours with little downtime, and had pushed nearly 60,000 packages through the line. He framed the demonstration as evidence that Figure is moving toward commercially useful, human-speed humanoid robots built through a vertically integrated hardware, manufacturing, data and AI stack.
U.S. Chip Expansion Needs 150,000 More Workers
SEMI’s Shari Liss told Bloomberg Technology that the main constraint on US semiconductor expansion is no longer just fab construction, but the workforce needed to operate it. She said CHIPS Act investments are creating rapid domestic growth that will require about 150,000 additional workers, from fab technicians and engineers to researchers and business roles, and that the US must build regional training pipelines and student awareness fast enough to support the manufacturing capacity it wants to bring home.
Figma Says AI Makes Design More Valuable as Code Gets Easier
Figma CEO Dylan Field told Bloomberg that the company’s stronger-than-expected quarter shows AI is expanding rather than undermining its market. He argued that as large language models make code easier to generate, design becomes the more valuable layer above it — while acknowledging that AI features carry real inference costs that Figma is now trying to monetize through usage credits.
MiniMed Bets Automated Insulin Delivery Can Cut Diabetes Decision Fatigue
MiniMed chief executive Que Dallara argues that insulin-dependent diabetes care remains too manual, with patients still making scores of dosing decisions each day. In a Bloomberg Technology interview after MiniMed’s IPO, Dallara said the former Medtronic Diabetes business is trying to become the “self-driving car” of diabetes care by combining sensors, pumps, pens and software into an automated insulin-management loop.
AI and Robotics Will Make Today’s Hospitals Look Archaic
BD chief executive Tom Polen argues that AI and robotics will change hospitals so substantially over the next decade that today’s practices will look archaic. In a Bloomberg interview with Caroline Hyde, he described BD’s approach as an operational transformation: predictive AI for intensive-care patients, robotics to take non-clinical work off nurses, more care delivered at home, and supply chains built for resilience rather than just efficiency.
OpenAI Prepares Legal Action as Apple Partnership Falls Short
Bloomberg’s Mark Gurman reports that Apple’s partnership with OpenAI has deteriorated because OpenAI expected deep ChatGPT integration across Apple software and a multibillion-dollar annual opportunity, but received a narrower set of features. Gurman says OpenAI has tried to renegotiate, believes talks have stalled, and is preparing possible legal action while still seeking an out-of-court resolution. Apple has not commented, but Gurman says it has its own concerns about OpenAI’s privacy practices, durability, leadership, and recruitment from Apple hardware teams.
Cerebras Raises $5.55 Billion as AI Infrastructure Demand Lifts Tech Markets
Cerebras raised $5.55bn in the year’s largest US IPO while Cisco shares jumped on a higher hyperscaler-orders forecast, putting both a new AI compute listing and an incumbent networking supplier in the market’s AI infrastructure trade. Cerebras CEO Andrew Feldman argued that the company’s wafer-scale systems, OpenAI deal and AWS engagement show it can become a major compute supplier; Bloomberg reporters pressed the harder question of how much of today’s AI infrastructure demand will turn into broad, durable revenue.
Ericsson Says Beating China Requires Technology Leadership, Not Exclusion
Ericsson chief executive Börje Ekholm told Bloomberg Technology that competing with China in telecoms requires more than excluding Chinese vendors: Western companies have to match China’s scale, technology curve and cost discipline. He described China as both a market Ericsson needs to be in and the benchmark for competition, while arguing that the company’s hedge is to build strength in the U.S., India and Japan and maintain flexible manufacturing and R&D. Ekholm also cast AI as a future network-demand story, saying physical-world AI will require low-latency connectivity at the edge.
Xi’s Taiwan Warning Leaves U.S.-China Positions Unchanged but Raises Tech Stakes
Michelle Giuda, chief executive of Purdue’s Krach Institute for Tech Diplomacy, told Bloomberg Technology that Xi Jinping’s warning to Donald Trump over Taiwan was serious but did not mark a new position from Beijing or Washington. She argued that Taiwan remains the central pressure point in U.S.-China relations because of both security commitments and semiconductor dependence, while Iran and an unusual tech CEO delegation showed the summit’s mix of incremental diplomacy and improvisation.
Oura Seeks Clinical Validation for Longer-Term AI Health Prediction
Oura chief executive Tom Hale told Bloomberg Technology that the company’s AI work is not a new response to the current market cycle but an extension of years of prediction work in wearables. His argument is that Oura can move from near-term wellness signals, such as illness or menstrual-cycle alerts, toward longer-range health guidance, provided the science and regulatory validation support it. Hale said the company is still stopping short of diagnosis while it works with the FDA, including on blood-pressure submissions, and framed Oura’s hardware as an advantage in an AI market where software is easier to copy or generate.
Cerebras Raises $5.55 Billion in Year’s Biggest IPO
Cerebras chief executive Andrew Feldman used the AI chipmaker’s $5.55 billion IPO to argue that public investors are valuing the company as a fast-inference infrastructure supplier, not merely another semiconductor listing. In a Bloomberg Technology interview before trading began, Feldman said demand is concentrated around speed, claimed Cerebras is about 15 times faster than its nearest competitor, and pointed to large relationships with OpenAI and AWS as evidence of commercial traction, while acknowledging that the AWS agreement is still being finalized.
Anthropic Seeks $30 Billion at More Than $900 Billion Valuation
Bloomberg’s technology program framed the day’s AI trade around access to scarce capacity: Nvidia chips for China, private capital for Anthropic, and manufacturing scale for Anduril. Its central report was that Anthropic is in early talks to raise at least $30 billion at a valuation above $900 billion, a deal Bloomberg’s Natasha Mascarenhas said would mark a major shift in the private AI hierarchy if completed. The program also treated Jensen Huang’s last-minute role in Trump’s China trip as a test of whether chip access can become a diplomatic deliverable without undermining Beijing’s domestic semiconductor strategy.
Varda Plans Orbital Drugmaking Flights for United Therapeutics Within a Year
Varda Space Industries CEO Will Bruey argues that the company’s deal with United Therapeutics is an early test of whether microgravity can become a practical input in pharmaceutical formulation rather than a space-research novelty. Speaking to Bloomberg Technology, Bruey said Varda is already working with United on the ground and plans to send drugs into orbit in the next year, using low Earth orbit as a manufacturing step that could improve dosage form, stability or bioavailability before returning the material to Earth.
Affirm Targets $100 Billion in Volume as Profitability Floor Rises
Affirm chief executive Max Levchin told Bloomberg that the company’s new $100 billion gross merchandise volume target is a waypoint rather than a ceiling, arguing that the business can grow faster while improving its profitability floor. His case rests on Affirm becoming more than a checkout financing option: consumers are coming directly to the company, merchants are seeking incremental sales through its network, and AI-mediated shopping could put Affirm earlier in the purchase process.
Anduril Raises $5 Billion to Scale High-Volume Weapons Production
Anduril CEO Brian Schimpf told Bloomberg that the company’s $5bn funding round, valuing it at $61bn, is intended to accelerate production rather than complete a single factory project. He argued that demand in defense is shifting toward high-volume, lower-cost systems that can be manufactured quickly, making production capacity, replenishment and private capital central to Anduril’s strategy.
Korean AI Dividend Proposal Triggers Semiconductor Stock Selloff
A South Korean policy chief’s proposal to return part of AI-related gains to citizens jolted the country’s chip market, with Samsung and SK Hynix closing down around 5% after Kim Yong-beom argued that profits from the AI infrastructure era should be shared more broadly. Bloomberg reported that the presidential office later described Kim’s post as personal opinion, while the same program pointed to related pressure points in the AI boom: CME’s plan with Silicon Data for compute futures and Nvidia CEO Jensen Huang’s absence from Trump’s China delegation as approval for Blackwell sales looked unlikely.
CME Plans Futures Contracts for GPU Computing Power
CME Group and Silicon Data are trying to make computing power tradable as a futures product, Bloomberg’s Katherine Doherty says, using an index of compute prices as the basis for contracts that would let companies and investors hedge future price moves. Doherty frames the plan as an effort to treat GPU processing capacity less as a procurement cost and more as a commodity exposure, though the market still needs regulatory approval and enough liquidity to function.
SAP Says ERP Context Will Make AI Agents Reliable for Business
SAP chief executive Christian Klein used Bloomberg Technology to frame the company’s new autonomous enterprise platform as a bet that AI agents need business context more than proprietary models. He argued that SAP’s advantage is its access to ERP data and process knowledge, which can make agents reliable enough to coordinate work across finance, commerce, inventory, procurement and supply chains. Pressed on competition from partners such as AWS, Klein said SAP’s role is to provide the enterprise context layer while working with hyperscalers and data platforms to harmonize data beyond SAP systems.
Small Seed Checks Still Drive Venture-Scale Returns
A-Star co-founder and general partner Bennett Siegel argues that venture-style outperformance still depends on small, early checks rather than joining the largest AI financings. In a Bloomberg Tech interview, Siegel said A-Star’s new $450 million fund is designed to preserve its seed-stage discipline: backing a limited number of companies before products, markets and consensus are fully formed, then following on selectively as winners emerge. He frames billion-dollar formation rounds as a separate market, not proof that traditional seed investing has lost its relevance.
Cerebras Seeks $4.8 Billion as AI Compute Demand Lifts IPO Market
Bloomberg Technology’s Caroline Hyde and Ed Ludlow framed Cerebras’ upsized IPO as part of a wider shift in which AI infrastructure is drawing capital across chips, data centers, power, payments and security. Bloomberg’s Rebecca Torrence said the Cerebras offering was more than 20 times oversubscribed, while other guests argued that investor demand is being supported by earnings growth, capacity constraints and expanding use cases rather than chips alone. The broadcast’s through-line was that the AI buildout is becoming a market-wide infrastructure trade, with financing, energy supply, stablecoins, cybersecurity and local hardware all pulled into the same investment case.
Rezolve Frames Hostile Commerce.com Bid Around Stagnant Growth and Merchant Scale
Rezolve AI chief executive Dan Wagner used a Bloomberg Technology interview to defend his hostile bid for Commerce.com as an effort to accelerate Rezolve’s push for leadership in commerce and retail AI. Wagner argued that Commerce.com’s 60,000 merchants are an underused asset held back by weak growth and limited innovation, while Rezolve’s own revenue momentum and anti-hallucination technology could make that customer base more valuable under its control.
Rising Productivity Has Not Settled AI’s Role in the Labor Market
Bloomberg’s Stacey Vanek Smith describes a $400 wager between Stanford’s Erik Brynjolfsson and Northwestern’s Robert Gordon over whether US productivity growth will average 1.8% from 2020 to 2030. Smith says recent data, including 2.9% year-over-year growth in early 2026, suggest productivity is improving, but she cautions that the figures do not show how much is due to AI. The central dispute is whether AI is making workers more productive, or whether layoffs are raising output per hour by reducing labor hours.
Circle Says USDC Utility Can Offset Lower Reserve Yields
Circle CEO Jeremy Allaire told Bloomberg Technology that falling interest rates are not the defining constraint on the stablecoin issuer’s growth, arguing that USDC’s utility, transaction volume and network effects matter more than reserve yield alone. Pressed on Circle’s exposure to lower returns on the assets backing USDC, Allaire pointed to nearly $30 trillion of first-quarter on-chain USDC transactions, ARC’s planned launch and rising payments-network volume as evidence that Circle is trying to build a broader platform business around stablecoin activity.
AI Infrastructure Buildout Is Broadening the Stock Rally Beyond Tech
Carol Schleif, chief market strategist for Bank of Montreal, argues that the AI-driven equity rally is broader than the familiar mega-cap technology trade. In a Bloomberg Technology interview, she says earnings and revenue growth across much of the market, along with a multi-year infrastructure buildout in power, chips, materials and supply chains, are giving the rally fundamental support even as investors worry about geopolitical and energy bottlenecks.
Waymo Says Validation Infrastructure Is Its Edge Over Tesla
Waymo’s Srikanth Thirumalai tells Bloomberg that the company’s driverless strategy is built around validation infrastructure as much as the driving model itself. In contrast to end-to-end approaches associated with Tesla and others, he argues that Waymo’s path to scale depends on a full stack of driver software, simulation, real-time safety checks and a critic that identifies weak performance and feeds improvements back into the system.
Freight Automation Starts With Platforms, Not Just Autonomous Trucks
Einride chief executive Roozbeh Charli argues that the shift to electric and autonomous freight will be led by software orchestration rather than by vehicles alone. In an interview with Bloomberg’s Tom Mackenzie, he says large shippers need a platform to coordinate electric trucks, autonomous systems, routing, charging and operational handoffs, while regulation and human supervision remain critical to making the model work at scale.
Wayve Bets Licensed Onboard AI Can Scale Autonomous Driving
Wayve chief executive Alex Kendall tells Bloomberg that autonomous driving is shifting from hand-engineered, city-specific systems toward learned AI models that run onboard vehicles and improve from real-world driving data. His argument is also commercial: Wayve plans to license its autonomy platform to manufacturers and fleets rather than build cars or operate robotaxi networks, a model Kendall says can scale across more vehicles, sensor packages and driving environments.
SpaceMob Investors Help Push AST SpaceMobile Toward a $25 Billion Valuation
Bloomberg’s Sana Pashankar reports that AST SpaceMobile’s retail backers, who call themselves the SpaceMob, are helping turn the satellite-to-phone company into a major public-market story. She argues the group differs from earlier meme-stock crowds because its members see AST less as a short-term trade than as a bet on direct-to-device satellite connectivity and the possibility of a much larger business. The segment ties that conviction to AST’s sharp share-price rise, while stopping short of proving how much the online community itself has driven the move.
AI Skills Are Becoming the New Entry-Level Hiring Signal
Clara Shih, founder and CEO of the New Work Foundation and former Meta business head, argues that recent graduates are entering a labor market where AI skills have become a decisive hiring signal while traditional entry-level pathways weaken. In a Bloomberg Technology interview with Caroline Hyde, Shih says schools are often failing to prepare students for that shift, even as AI agents take on work once assigned to junior employees and 42% of recent graduates remain underemployed.
Enhanced Goes Public at $1.2 Billion Ahead of Drug-Friendly Games
Enhanced CEO Maximilian Martin told Bloomberg Technology that the newly public company is trying to build a sports and consumer-products business around open, medically supervised performance enhancement. Fresh from a SPAC merger that valued Enhanced at $1.2bn, Martin argued that the Enhanced Games and its related “Live Enhanced” platform should let fans, customers and retail investors own part of what he called a movement. His central claim is that the model is not illicit “Olympics on steroids,” but enhancement using FDA-approved substances under doctor supervision and repeated medical screening.
AI Power Demand Is Bringing Three Mile Island Back Online
Bloomberg’s Will Wade reports that Three Mile Island, the site of the 1979 accident he calls the worst nuclear accident in US history, is being prepared to return to service as soon as mid-2027 to supply electricity for AI applications. Wade argues the restart reflects a shift in the nuclear debate: technology companies once emphasized clean power, but the stronger force now is the immediate electricity demand and money behind artificial intelligence. The result, he says, is renewed reliance on decades-old nuclear infrastructure while waste storage and new reactor timelines remain unresolved.
Autonomous Driving Race Turns on Architecture, Cost, and Deployment
Bloomberg’s Tom Mackenzie frames the autonomous-driving race as a contest between systems that work now and systems designed to scale later. In Bloomberg Tech: Europe, he contrasts Waymo’s mapped, sensor-heavy safety stack with Wayve’s end-to-end AI model, while executives from BYD, Einride and Vay argue for other routes through vertical integration, autonomous freight and remote driving. The central question is not only which technology can drive, but which architecture and business model can win regulatory, customer and fleet trust at scale.
Compute Supply, Power, and Capital Are Defining the AI Buildout
Arm’s warning on smartphone weakness sat alongside a stronger claim from chief executive Rene Haas: handset softness is concentrated in lower-end devices, while data-center demand is accelerating because agentic AI workloads need CPU orchestration. Bloomberg Technology’s May 7 program used that contrast to trace a broader AI-infrastructure market in which demand is less in question than the ability to secure compute capacity, power, supply chains and capital. Anthropic’s lease of SpaceX compute and CoreWeave’s financing questions pointed to the same constraint: available infrastructure, not appetite for AI, is becoming the limiting factor.
HawkEye 360 Raises $416 Million in Public Market Debut
HawkEye 360 chief executive John Serafini used the satellite intelligence company’s $416 million US market debut to argue that investors should view it as a durable defense supplier rather than a short-term IPO trade. Speaking to Bloomberg’s Caroline Hyde, he said HawkEye 360’s radio-frequency surveillance constellation serves a persistent warfighter need, with US government work providing most of today’s business and international demand and acquisitions forming part of the growth case.
Tech Layoff Plans Rise 33% as Broader Job Cuts Recede
Bloomberg’s Julia Fanzeres argues that the U.S. layoff picture is increasingly sector-specific: tech companies are announcing rising cuts even as broader private-sector layoff plans decline. Citing Challenger data, Caroline Hyde said planned U.S. tech job cuts have reached 85,411 this year, up 33% from the same period in 2023, with AI cited as a factor for a second month. Fanzeres said the pattern does not yet show a wider labor-market break, but raises the question of whether tech cuts are a contained adjustment or an early signal.
Arm’s AI CPU Orders Double to $2 Billion as Smartphones Weaken
Arm chief executive Rene Haas told Bloomberg Tech that weakening smartphone demand is being offset by a faster-growing AI data center business, where order visibility for Arm’s AGI CPU has doubled to $2 billion in five weeks. Haas argued that agentic AI workloads are increasing the need for CPUs to handle orchestration and scheduling that GPUs cannot manage, making Arm’s opportunity less dependent on handset volumes and more tied to data center infrastructure, supply-chain execution and rack-level power efficiency.
AMD’s Forecast Shows AI Demand Is Spreading Beyond GPUs
Bloomberg Technology framed AMD’s sharp rally as evidence that the AI infrastructure trade is widening beyond GPUs. Caroline Hyde, Ian King and RBC’s Srini Pajjuri said AMD’s forecast pointed to renewed demand for CPUs as AI workloads shift toward inference and agentic systems, even as Nvidia remains dominant in accelerators. The program extended that argument across Nvidia’s Corning deal, Microsoft’s power constraints and Apple’s outside-model plans: the AI boom is becoming a contest over compute, connectivity, energy and platform control.
Apple Explores Intel and Samsung for U.S. Chip Production
Mark Gurman said Apple has held early talks with Intel and Samsung about using new U.S. fabs to make future A-series and M-series processors, an exploratory move he framed as a supply-chain redundancy question rather than only a political one. Apple still relies heavily on TSMC, primarily in Taiwan, and Gurman described that geographic and supplier concentration as one of the company’s biggest risks. Across the rest of the broadcast, executives and analysts described a similar shift from exposure to execution: AI companies are giving Washington early model access for review, while enterprise adoption is being tested by security, deployment cost and proprietary data advantages.
Samsung Reaches $1 Trillion Valuation on AI Chip Demand
Bloomberg’s Sangmi Cha argues Samsung’s move past a $1tn market value is more than a symbolic milestone: traders are reading it as a direct expression of the AI infrastructure trade, driven by tight memory-chip supply and helped by news of an Apple partnership. Cha says the rally still has room in investors’ eyes because Samsung trades at about 5.3 times forward earnings, while the company’s surge is also feeding a broader foreign-led rally in Korean equities.
Uber Says US Demand and Cost Discipline Can Offset Macro Pressure
Uber CFO Balaji Krishnamurthy told Bloomberg Tech that the company’s latest forecast reflects sustained demand from riders and travelers despite a more uncertain macro and geopolitical backdrop. He argued that Uber is pairing product expansion, including hotel bookings through Expedia and a larger Uber One base, with tighter operating discipline and AI-driven efficiency. Krishnamurthy framed the quarter as evidence that Uber can keep growing by widening its consumer and enterprise use cases while controlling costs.
Thoma Bravo Keeps AI Strategy Model Agnostic as Cyber Risks Accelerate
Thoma Bravo managing partner Seth Boro told Bloomberg’s Dani Burger that enterprise AI is creating parallel problems for companies: faster cyber threats and uncertain deployment economics. Boro said the firm is “model agnostic,” maintaining relationships with OpenAI, Anthropic and Google while using its cybersecurity portfolio to monitor emerging threats. He argued that enterprises will need layered defenses, tighter governance of AI agents and more specific, efficient models rather than assuming general-purpose systems fit every workflow.
AI Panic Gives Way to Company-by-Company Software Stock Sorting
Lauren Webster of Piper Sandler argues that the software market is moving from broad AI panic to a more selective test of execution, durability and exposure to disruption. In a Bloomberg Technology discussion, she said layoffs at PayPal and Coinbase should be read as both a response to investor pressure for profitability and, in some cases, evidence of AI-driven labor displacement. Her framework puts more value on software that is deeply embedded in enterprise workflows and harder to replace.
Apple Explores Intel and Samsung as Backup Chipmakers Beyond TSMC
Bloomberg’s Mark Gurman reports that Apple has held early talks with Intel and Samsung about using new U.S. fabs to manufacture Apple-designed A-series and M-series processors. Gurman says the move is not a break with TSMC, Apple’s longtime chipmaking partner, but an effort to reduce dependence on one supplier and one geography for the components that determine whether Apple can ship its major devices.
Apple Turns to Outside AI Models as Siri Falls Behind
Bloomberg’s Mark Gurman says Apple’s reported plan to let users choose outside AI models is a platform move driven partly by weakness in its own technology. Apple aims to make Siri and Apple Intelligence good enough as defaults while allowing services such as ChatGPT, Gemini and Claude to power some features on the iPhone, he argues. Gurman says that could help users in the short term, but it does not remove Apple’s need to build stronger AI of its own for future hardware.