Caroline Hyde
Bloomberg Television anchor based in New York and host of Bloomberg Technology, Bloomberg’s flagship daily technology program covering technology, innovation, business, and AI-driven market shifts.
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.
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.
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.
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.
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 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.
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.
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.
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.
Electricity Grids Become the New Bottleneck for AI Growth
Bloomberg Primer argues that electricity grids have become a central constraint on economic growth as AI, electric vehicles and heat pumps push demand higher after decades of flat consumption in many Western countries. The piece contrasts China’s continuous grid buildout with stalled Western systems, and follows efforts including superconducting cables, grid-stabilizing machines for renewable-heavy systems and Nigerian mini-grids. Its central claim is that countries able to expand and stabilize power delivery will be better positioned to capture the next wave of industrial and digital growth.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.