Enterprise AI Adoption
How companies buy, deploy, govern, and scale AI across teams, including pilots, procurement, change management, and internal enablement.
AI Writing Tools Can Help More People Publish Work Worth Reading
Zack Proser, an engineer on WorkOS’s applied AI team, argues that the greater risk of AI is not a flood of low-quality writing but the stories people never publish. He built Blogbot to turn colleagues’ briefs and source material into drafts that are usually 85–90% complete, while leaving them to edit the work and put their names on it. For Proser, faster production can preserve craft when people supply the judgment and remain accountable for what they publish.
Anthropic’s Growth Case Hinges on Enterprise Returns and Compute Capacity
Anthropic’s S-1 presents a company growing at extraordinary speed, but the All-In hosts disagree on what its figures establish. David Sacks argues that rising margins, falling model costs and a large potential customer base support a historic business case; Chamath Palihapitiya says the unresolved questions are whether enterprise trials turn into durable, multimillion-dollar contracts and how the costly infrastructure buildout will be financed.
Three Initiatives Target Employers, Entertainment, and Utah’s Gender Gap
Three projects recognized through the Workplace Innovation Now Challenge argue that changing how care and motherhood are understood can help women thrive at work. SHRM Foundation plans to frame caregiver support as a business concern for employers; Caring Across Generations is building an entertainment company to bring caregiving into popular culture; and Sego Leadership will examine Utah’s narratives about motherhood and work. The awardees presented their approaches at the WIN Summit, with each targeting a different audience and route to change.
Career Pauses and Caregiving Are Reshaping How Employers Define Ambition
At the WIN Summit in New York, author and Power Pause founder Neha Ruch argued that parents need a broader definition of ambition—one that allows people to change their hours or pause paid work without being treated as having given up on their careers. She said employers must make work compatible with caregiving across different jobs and stages of life, while recognizing that flexibility and leave are not equally accessible to all workers. W.K. Kellogg Foundation program officer Jonathan Njus added that policies need a culture of visible support, including fathers who take leave and care for their children.
Serval Uses Coding Agents to Bring Enterprise Automation Beyond Engineers
Serval co-founder and CEO Jake Stauch argues that coding agents make it practical for enterprise IT teams to build workflows in code rather than rely on complex drag-and-drop tools—a shift he sees as a direct challenge to ServiceNow. Serval pairs those agents with approvals, permissions and audit trails so employees beyond software engineering can build automations without giving up enterprise controls. Stauch says the opportunity depends not just on better models, but on helping customers put the work into production and govern what agents can do.
Microsoft’s Backlog Grows Beyond OpenAI as Azure Revenue Climbs 48%
Microsoft’s results showed Azure revenue up 48%, while Bloomberg Intelligence analyst Anurag Rana said investors should focus on whether cloud demand is broadening beyond major AI companies. He also said they would look for clues about Microsoft’s capital spending plans, including whether the company might raise its 2027 target.
The US and China Are Now Six Months Apart in AI
Eric Schmidt says the US and China are now about six months apart in AI, narrowing a gap he once put at one or two years. In a live Masters of Scale Summit interview, the former Google chief argues that China has made ground through cheaper models, abundant power and faster deployment, while the US retains advantages in frontier performance, talent and capital. His scorecard ties the two countries, but Schmidt says the contest need not be zero-sum—and warns that US restrictions on foreign researchers risk weakening its own position.
AI Could Expand Legal Capacity Beyond Current Limits
Legora CEO and co-founder Max Junestrand argues that legal work is constrained less by demand than by the capacity to meet it, leaving contracts unreviewed, diligence undone and some disputes unpursued. He sees AI as a way to make legal expertise available where time and staffing have put it out of reach, but says wider adoption depends on lawyers trusting the work. For Legora, that means continually rebuilding as AI capabilities advance rather than treating its product as finished.
GPU Prices Are Rising Despite a Wave of New Compute Supply
Gavin Baker argues that the AI infrastructure buildout depends on more than expected GPU supply: companies must secure increasingly expensive compute and bring it online quickly enough to earn a return. Delays compound the cost of tight supply by leaving high-value equipment idle, while public listings by Anthropic and SpaceX could, in his view, unlock buying power for private-market investment. He reads Anthropic’s S-1 as evidence that enterprise adoption remains early, reinforcing the case for further investment.
Anduril and Qualcomm Target a Fully Domestic Laptop Supply Chain
Anduril founder Palmer Luckey argues that the US needs a domestic computer supply chain because military and critical infrastructure systems still rely on machines made in China. In an interview with Bloomberg’s Ed Ludlow, he said Anduril and Qualcomm are building BlueChip to address that dependence, drawing on the defense company’s manufacturing experience. The prototypes are not yet fully US-made: Luckey said they are about 90% US and allied production, with a roadmap to reach 100%.
Honest Narrowed Its Product Focus to Build Financial Resilience
At The Honest Company, CEO Carla Vernón says transformation required narrowing the business before it could grow: when she took over in 2023, she focused the financially strained company on a smaller set of product categories and set out to strengthen its business practices. In a WIN Summit fireside chat with Forbes editor Maggie McGrath, Vernón argued that lasting change also depends on candid communication and clear priorities, with employees—not technology alone—driving the work.
A ChatGPT Plugin Tripled Registrations for Stack Overflow for Agents
Stack Overflow says registrations for its Stack Overflow for Agents product tripled overnight after it launched a ChatGPT plugin, which VP of Product Alexandra Lato attributes to easier setup for people already using ChatGPT. The company also reports that users created up to ten times more agents, a separate increase it does not tie to the registration jump. Lato says the product is intended to turn scattered workplace information into verified knowledge that people and AI agents can use.
India’s Language Diversity Makes Human-Like Voice AI a Product Challenge
ElevenLabs co-founder and CEO Mati Staniszewski argues that the central challenge for voice AI is not just intelligence but the ability to interact naturally with people. In his keynote at the ElevenLabs Summit in Bengaluru, he points to India’s many languages and dialects as a demanding test of that capability—and a place to develop it. He presents the company’s speech and agent tools as attempts to meet that challenge, while emphasizing that deploying them in industries such as healthcare and government requires work tailored to each setting.
Venture-Backed Startups Account for Most AI Spending, Raising Questions About Durable Demand
Chamath Palihapitiya argues that venture-backed startups account for most AI spending, making current demand a fragile measure of broad adoption; Jason Calacanis counters that startups’ willingness to buy reflects the technology’s practical value. Palo Alto Networks CEO Nikesh Arora warns that AI can help uncover vulnerabilities and accelerate attacks on unpatched systems, exposing the risks of years of deferred maintenance. In France, the hosts disagree over whether unrest and fiscal strain stem chiefly from excessive state spending, disappointing public services, immigration or weak growth.
A Decade-Old PHP Flaw Triggered Millions of Exploit Attempts
Alex Stamos, chief information security officer at Cognition, argues that AI is helping researchers uncover long-standing software flaws and may also let attackers operate faster, though its role in exploiting the PHP vulnerability remains uncertain. That flaw shows how difficult it can be to patch widely used software, while a fix does not rule out an intrusion that has already happened. Stamos says companies need to identify what they have exposed, investigate possible breaches and, over time, replace software built without basic security protections.
AI-RAN Puts Network Functions and AI Services on Shared Infrastructure
Nokia and NVIDIA argue that telecom operators can turn network infrastructure into a shared platform for radio access and AI workloads, creating a path from programmable 5G toward 6G. Their AI-RAN collaboration pairs Nokia software with NVIDIA accelerated computing; the companies say it can improve network performance, support AI services at the network edge and help automate network operations.
AI Adoption Is Widening the Gap Between Frontier Firms and Their Peers
OpenAI CFO Sarah Friar argues that expanding access to AI and managing its risks are inseparable: the company’s mission requires it to make powerful tools available while sometimes holding back models until safety concerns are addressed. In a conversation with Reid Hoffman, she also contends that AI is changing work within jobs, with leading companies adopting agents faster than their peers. Friar says public trust will depend on demonstrated benefits—in healthcare and business, and for communities hosting data centers—rather than assurances alone.
Open-Weight Models Could Capture Most Enterprise AI Workloads
Arvind Krishna and Nikesh Arora argue that companies should prepare for major technology shifts without treating every new capability as ready for every job. Krishna says organizations need to begin migrating to post-quantum cryptography before quantum computers can break current encryption; Arora says AI models should be chosen according to the task’s cost and the consequences of failure. Their discussion of cyber defense and software replacement makes the same qualification: adoption can bring advantages, but reliability sets limits.
Economic Mobility Depends on Connecting Jobs, Skills, and Local Capacity
At Aspen Ideas: Economy in Tulsa, Derek Kilmer of the Rockefeller Foundation argues that economic growth will not create broad mobility on its own: communities need the capacity to connect workers to jobs and businesses to opportunity. The discussion, moderated by Edward Jones Foundation president David Clunie, makes the case for coordinating infrastructure, workforce training, public services and local institutions—and for directing investment to distressed places, where Kilmer says it can produce more jobs per dollar than in areas already growing.
AI Made Vanguard’s Legacy Ledger Research Queryable in 15 Minutes
Vanguard’s cash-ledger modernization required teams to move data, producers and consumers from a mainframe to the cloud while the system handled up to 30 million service calls a day. Gareth Yoder, who leads the cash program, says the migration’s research bottleneck eased when Vanguard made its COBOL code and database metadata queryable through AI tools: a question that once took a mainframe engineer seven days to answer could be resolved in 15 minutes. His broader case is that modernization also depends on usable migration documentation, incremental adoption and observability.
The $31 Trillion AI Buildout Depends on Power, Politics and Public Consent
PwC’s Dallas Dolen argues that global AI infrastructure investment could reach $31 trillion through 2050 because demand for compute is likely to outpace efficiency gains. He says the forecast depends not only on data centers and chips but on new power supply, financing and government approvals—and on whether companies can win community support for projects that raise questions about local costs and resources. Dolen expects political and economic disruptions to shift the timing of construction more than erase the underlying demand.
AI Could Extend Nubank’s Low-Cost Banking Model Into New Markets
David Vélez, Nubank’s founder and chief executive, argues that the digital bank’s low-cost model can challenge incumbents in an industry he says remains largely branch-based. Nubank’s 140 million customers are evidence for that model, but its expansion into the United States and other markets will test whether the advantage travels. Vélez sees AI as a way to lower costs further and improve financial services, while saying that scale alone is not enough: companies need the systems and culture to use their data effectively.
Meta’s Muse Raises Model Quality but Leaves Enterprise Integration Unproven
Meta’s new Muse model may put the company closer to leading AI systems, but Bloomberg Intelligence’s Mandeep Singh argues that stronger performance alone will not win enterprise customers. Businesses need deeper integration, he says, while Meta’s more promising opening may be in personal-use agents: Singh says he uses Muse daily, almost entirely outside work.
Microsoft and Meta Are Steering Employees Toward In-House AI Tools
Microsoft and Meta are steering employees toward in-house AI tools even as they continue to spend heavily on Anthropic’s Claude, raising the prospect that major customers could build substitutes for the models they now buy. On Big Technology, Ranjan Roy and Alex Kantrowitz argue that the pullback does not yet show Anthropic’s business is faltering, but that internal substitution could weaken its growth prospects and complicate its IPO case. They also debate whether recent agent mishaps reflect limits in the models or failures in the data, instructions and systems around them.