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The latest MIT Technology Review news, : MIT poll finds only 16% of firms see transformative AI returns.

MIT Technology Review is a media outlet that publishes analysis, surveys and investigations on artificial‑intelligence developments and their business and societal impacts. Recent coverage includes a survey finding only 34% of AI‑agent projects reach production, a custom article on AI moving from prediction to action, an investigation of flaws in US border‑surveillance AI, and studies on AI’s limited productivity gains in marketing.

14 stories mentioning MIT Technology Review since 22 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.

  1. MIT poll finds only 16% of firms see transformative AI returns

    A new MIT Technology Review Insights poll reveals that despite widespread AI adoption, fewer than one in five organizations (16%) are achieving transformative value from their deployments. The survey shows 40% report…

    1 source
    MIT Technology Review AI
  2. EXL says enterprise AI success depends on serving harness, not model choice

    The article argues that the next competitive edge for enterprise AI lies less in the choice of model and more in the surrounding serving harness – the engineering system that handles architecture, memory management,…

    1 source
    MIT Technology Review AI
  3. Policy & Regulation new

    Vanguard outlines foundations for scalable AI in regulated environment

    Jing Wang, principal of Vanguard’s Center for AI & Insights, presented a session at MIT Technology Review’s EmTech Future conference on building a scalable AI system. She argued that data, engineering, platforms,…

    1 source
    MIT Technology Review AI
  4. Opinion: audience uses AI but distrusts it, marketers should segment by usage

    New YouGov data shows that 89% of U.S. adults have at least one concern about AI, yet 55% use AI tools at least weekly. Among those with concerns, the same 55% use AI weekly, while 61% of people with no concerns use it…

    1 source
    Search Engine Journal
  5. HPE offers Private Cloud AI platform to lower effective cost per token

    HPE’s Private Cloud AI platform is presented as a production‑ready foundation that combines infrastructure, software, models, tools, governance, and services. It lets enterprises manage scheduling, model selection, GPU…

    1 source
    MIT Technology Review AI
  6. Research new

    Stanford PhD uses generative AI to draft genetic blueprints for microscopic viruses

    Samuel King, a bioengineering PhD candidate at Stanford University and the Arc Institute, demonstrated a proof‑of‑concept in 2025 where a generative AI model suggested genetic sequences for tiny viruses. In a…

    1 source
    MIT Technology Review AI
  7. Policy & Regulation new

    Anthropic reportedly assigned highest junk credit rating in June

    Financial news outlets reported that Anthropic received the highest credit rating within the junk category in June, according to ft.com and discussed on Hacker News. The rating could raise the company’s cost of capital…

    1 source
    note.com
  8. Society & Work new

    Stanford PhD candidate designs AI-generated virus blueprints

    Stanford University PhD student Samuel King used generative AI in 2025 to propose genetic blueprints for microscopic viruses. His work, while not yet AI-generated life, suggests this capability could emerge soon. King,…

    1 source
    MIT Technology Review AI
  9. MIT report finds only 34% of AI agent projects reach production due to knowledge gaps

    MIT Technology Review’s survey of 300 executives reveals that only 34% of AI agent projects advance beyond pilot stages, with knowledge gaps—not just data volume—as the primary bottleneck. The report highlights that…

    1 source
    MIT Technology Review AI
  10. Everest Group says enterprise AI shifts from prediction to action

    A sponsored article in MIT Technology Review argues that the focus of enterprise AI has moved from improving predictive accuracy to enabling autonomous decision-making. The piece, produced by MIT Technology Review’s…

    1 source
    MIT Technology Review AI
  11. Research new

    Google VP Yossi Matias says AI’s biggest impact may come from intersecting fields

    Yossi Matias, Vice President and Head of Google Research, used his EmTech Future 2026 session to argue that AI is already reshaping biology, infrastructure, manufacturing and science, and that its greatest influence…

    1 source
    technologyreview.com
  12. Society & Work new

    MIT Technology Review examines deadly flaws in US border surveillance AI

    MIT Technology Review published an investigation into the US’s 25-year-old ‘virtual wall’ of border surveillance towers, revealing repeated failures in detecting and apprehending crossers. The report highlights cases…

    1 source
    MIT Technology Review AI
  13. MIT and Harvard warn AI’s productivity gap risks marketing jobs

    Two studies—one from MIT Technology Review and another from Harvard Business School—highlight how AI adoption in marketing may not deliver expected productivity gains. MIT’s David Rotman notes that hyperscalers like…

    1 source
    Search Engine Journal
  14. Policy & Regulation new

    US virtual border wall, including AI towers, fails to prevent deaths, investigation finds

    The United States has invested billions of dollars over the past 25 years in a network of surveillance towers that stretch along its southern border. The system, dubbed a “virtual wall,” was promoted as a way to detect…

    1 source
    MIT Technology Review AI

Questions about MIT Technology Review

What is the latest MIT Technology Review news?

As of 28 October 2026: MIT poll finds only 16% of firms see transformative AI returns. A new MIT Technology Review Insights poll reveals that despite widespread AI adoption, fewer than one in five organizations (16%) are achieving transformative value from their deployments.

What is MIT Technology Review?

MIT Technology Review is a media outlet that publishes analysis, surveys and investigations on artificial‑intelligence developments and their business and societal impacts. Recent coverage includes a survey finding only 34% of AI‑agent projects reach production, a custom article on AI moving from prediction to action, an investigation of flaws in US border‑surveillance AI, and studies on AI’s limited productivity gains in marketing.