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Only Wed, October 28, 2026 · All dates →

MIT survey: only 16% of firms extract transformative value from AI

An MIT Technology Review Insights poll finds every surveyed organization uses AI, yet only 16% extract transformative value; 40% see moderate gains in specific tasks or teams and 23% see minimal or no returns. 38% are still piloting use cases, 35% use AI to assist employees, and only 12% have AI agents in production. Atlan co-founder Prukalpa Sankar says the missing piece is a business context layer.

MIT Technology Review ·

Anthropic launches tools to show AI spending value

Anthropic released reporting tools that let enterprise customers view, by team, what AI work produced, what it cost and where workflows broke down, plus improvement suggestions. It said the data is not used for model training by default and added pooled team budgets. The move aims to prove ROI ahead of a planned IPO; Anthropic told investors it posted second-quarter operating profit, with Claude Code driving 900% net revenue retention.

TechCrunch ·

Google AI Mode gives evasive answers on 2020 election

Ars Technica found Google's AI Mode declined to name the winner of the 2020 and 2024 US presidential elections, instead pointing users to the Federal Election Commission, while answering other elections since 2000 correctly. The behavior highlights AI caution on sensitive political topics.

Ars Technica ·

Securing AI factories: physical security and power sovereignty

As enterprise AI models scale, competitive advantage depends on controlling physical infrastructure, not just software. AI factories need huge energy, and relying solely on public grids creates a single point of failure, so forward-looking IT leaders treat data center power and location as design constraints, investing in regional modular architectures to withstand geopolitical friction and grid shocks.

CIO ·
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