Enterprise AI accelerates as calls for a slowdown grow

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  Article

  Google’s workplace agent is out, but questions abound

  The agent can use enterprise business context for knowledge work. However, challenges about cost and integration with other tools could be difficult for enterprises. Read Now

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  Article

  Unclear AI risk ownership could leave CISOs in familiar scapegoat role

  With no consensus on who owns AI risk, cybersecurity leaders could be exposed. Experts say CISOs need authority over AI security -- not just accountability when it goes wrong. Read Now

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  Article

  Data center builders confront public AI backlash

  The data center industry has done a bad job communicating with communities about new AI data centers, operators and advisors admit. Is it already too late to recover? Read Now

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  Article

  Western open-weight campaign could give enterprises more control over AI

  New Western open-weight models could give enterprises an alternative to Chinese and proprietary AI, but greater control also brings new responsibilities. Read Now

1AI acceleration

AI development and adoption are accelerating, backed by enormous investment. Gartner forecasts worldwide AI spending will reach $2.7 trillion this year, up nearly 50% from a year ago. New models and architectures are arriving as IT leaders wrestle with where to invest and how to turn AI into business value. Our coverage tracks the latest developments in AI technology and how they're playing out in the enterprise.

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  Security, cost benefits drive the rise of bringing AI to data

  Natively integrating models where data lives has proven safer, more cost efficient and effective than porting data into LLMs when building agents and other AI tools. Read Now

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  Outcomes-based AI pricing works in theory -- but in practice?

  Outcomes-based AI pricing sounds great at a macro level, but CIOs must define results, settle disputes and meet procurement requirements before it works in practice. Read Now

• Article

  Zapier explores extra pay for employees driving AI gains

  Zapier has planned a compensation pilot for select marketing employees driving AI gains, raising questions for CIOs about rewards and retention. Read Now

• Article

  Scaling AI puts enterprise architecture to the test

  New research finds only 13% of organizations with implemented AI have scaled fully as planned, putting architecture and modernization decisions under scrutiny. Read Now

• Article

  Anthropic opens cyber program applications, releases cheaper Haiku

  Under the program, the vendor provides enterprises with models that can defend against bad actors.  Read Now

• Article

  Startup Golden Analytics aims to shine with AI-native BI

  The startup, founded by former Tableau executive Francois Ajenstat, aims to compete with established providers with a fully AI-powered platform rather than bolted on AI tools. Read Now

• Article

  Report: Anthropic locks in $518B AI infrastructure commitments

  Reports of Anthropic's massive compute commitments give infrastructure providers demand visibility, but contracts alone cannot guarantee power and data center capacity. Read Now

• Article

  Akamai's potential $20B Anthropic deal scales AI beyond GPUs

  The new agreement calls for CPU infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for AI workloads. Read Now

• Article

  Anthropic, OpenAI launches show shift toward multi-model enterprise AI

  Anthropic and OpenAI released new models this week, expanding the range of models enterprises can use for different workloads and raising new considerations for multi-model management. Read Now

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  Is AI really paying off for companies? CIOs weigh in

  AI is delivering measurable value for some companies, but most are struggling to turn productivity gains into meaningful business returns. Read Now

2AI control and observability

As enterprises give AI systems more autonomy, maintaining control becomes harder. AI agents are being given access to corporate systems and data and allowed to take more actions without human approval. Our coverage follows the technologies and approaches for managing AI systems as they become more autonomous.

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  Self-improving AI is widening what counts as a software change

  AI systems are beginning to propose changes to agents' prompts, tools and models. CIOs must decide what counts as a change and how far the evidence lets it travel. Read Now

• Article

  Atlassian adds 'multi-player' agent collaboration, expands context

  Atlassian says its new protocol fosters human-agent teamwork more effectively than headless or control-tower approaches. Analysts say data and trust are the true differentiators. Read Now

• Article

  Stacklet targets AI token spending with policy controls

  Stacklet's early-preview Token Custodian brings policy controls to AI spending, raising a question for CIOs: Who decides which work gets access to more expensive AI models? Read Now

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  Governance teams now emphasize data, AI enablement

  In some organizations, data governance programs are now focusing more on enabling employees and AI systems to use data effectively than on controlling its use. Read Now

• Article

  Controlling agents a joint priority for data, AI governance teams

  AI agents need context to carry out tasks and guardrails to stop them from going rogue. Data and AI governance teams must work together to ensure both are in place. Read Now

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  Nvidia agent safety push raises questions about who governs AI autonomy

  The AI chipmaker’s new safety platform adds controls around AI agents, while enterprises remain responsible for defining their authority and setting boundaries. Read Now

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  meshIQ's AgentIQ puts AI agent runtime controls to the test

  Runtime controls can intervene before an AI agent takes action, but their effectiveness depends on where enforcement sits in the execution path. Read Now

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  When AI has permission to act, who gives it authority to decide?

  Giving AI permission to take an action is different from letting it decide when that action should occur. CIOs need explicit boundaries for when AI can act autonomously. Read Now

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  Gartner sees CIOs becoming AI 'evidence custodians'

  A conventional log may not be enough. CIOs could need end-to-end evidence showing what AI did, why it was allowed and what changed as a result.  Read Now

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  AI control is becoming an architecture problem for CIOs

  CIOs face multiple AI control layers across orchestration, models, data, identity and governance. The challenge is understanding how those layers work together. Read Now

3AI safety and slowdown

Years of debate inside the world's leading AI labs over whether advanced AI poses an existential threat to humanity have spilled into public view, as AI company executives, including Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, call for slowing AI development. Others in the AI industry and research community dispute the case for a slowdown, questioning the severity of the risks and motives of those calling for restraint. Our coverage examines the debate and what it means for enterprise IT leaders.

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  Developers facing a patchwork of competing AI safety regulations

  Policymakers are moving swiftly to regulate agentic AI, creating varying mandates across regions and leaving developers to figure out compliance. Experts explain how the industry can keep pace. Read Now

• Article

  Finland tells Google to halt site work on €13B data center expansion

  Google had secured access to Finland's northern grid, but environmental rules are blocking site work at two facilities in its €13 billion data center expansion. Read Now

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  Glasswing results put AI 'vulnpocalypse' to the test

  Noisy AI-generated vulnerability discovery data creates a bottleneck at human triage. A fix? More AI to help. The risk? An expanding attack surface.  Read Now

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  AI safety is falling behind the pace of development

  Businesses need continuous monitoring, stronger guardrails and human oversight to keep increasingly capable AI systems under control. Read Now

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  Pulling the plug: Why the AI kill switch might be a dead end

  As lawmakers push to make AI kill switches mandatory, security leaders warn that the "big red button" may be a dangerous illusion. Here’s why policy doesn't match the technical reality. Read Now

• Video

  AI kill switch: Can we really shut down artificial intelligence?

  The internet doesn't have an off switch -- why would we assume that AI does? In this episode, Richard Livingston discusses the concept of AI kill switches, the legislative landscape, and the technical challenges of controlling autonomous AI agents. Watch Now

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  While agents cause trouble, calls for AI regulation mount from Anthropic, lawmakers

  It seems nearly everyone is calling for regulation. Chief among them is Anthropic, whose AI agents are also key troublemakers. Read Now

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  What the AI safety fallout means for enterprise CISOs  

  High-profile resignations and calls for a development slowdown have accelerated the AI safety debate. Here's how security leaders are filtering noise from immediate operational risk.  Read Now

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  AI CEOs call for slowing AI boom as billions flow to data centers

  Anthropic CEO Dario Amodei's proposal to pace frontier AI development is more likely to create timing and workload mismatches than an immediate collapse in demand for data centers and power infrastructure. Read Now

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  The AI safety crunch and how enterprises should deal with it

  The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.  Read Now