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The AI Industry Is Losing
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AI Is Too Expensive
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AI's Economics Don't Make Sense
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AI Is Slowing Down
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The AI Industry Is Lying To You
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The Subprime AI Crisis Is Here
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Nobody Wants to Pay for Your AI
AI is everywhere today. It writes social posts, suggests email replies, recommends your next binge-watch, and quietly powers tools you use without even noticing.
Meredith Whittaker on Twitter / X
Now that even Goldman, Sequoia, and other major investors are calling it, it's good to remember that the shakiness of the AI market, and the mismatch between capex and ROI, has been clear for a long time to those of us who look closely at the political economy of AI. https://t.co/dLLNAcW5Sn— Meredith Whittaker (@mer__edith) July 30, 2024
OpenAI News
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.

AI Agents Will Be The Key To Achieving ROI From AI
AI agents are emerging as a crucial type of application for enterprises looking to derive more value from their AI investments in the near term.

AI Economy Institute - Microsoft Research
The AI Economy Institute (AIEI) is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We building a network of scholars and convening that network with our subject matter experts to explore how artificial intelligence is transforming work, education, and productivity – and making this knowledge base available to policy-makers, educators, and […]

OpenAI’s vision for the AI economy: public wealth funds, robot taxes, and a four-day workweek | TechCrunch
OpenAI proposes taxes on AI profits, public wealth funds, and expanded safety nets to address job loss and inequality, blending redistribution with capitalism as policymakers debate AI’s economic impact.

March 2026 Global Dialogues Survey | Windfall Trust
Here’s what the world had to say about the AI economy

OpenAccess.ai — Rigorous Open Access Publishing
$20 to submit, free to read. AI peer review. Open to human and machine authors. All articles CC-BY 4.0.

I‘m far from an AI doomer, but it is amazing how many serious voices — on LinkedIn, no less! — are sharing stories about how AI slop is quickly becoming one of the top problems they see in academic writing and research “AI will 10x our research!” doesn’t seem to be surviving encounters with reality
"AI makes it cheaper to contribute to Open Source, but it's not making life easier for maintainers. More contributions are flowing in, but the burden of evaluating them still falls on the same small group of people. That asymmetric pressure risks breaking maintainers." also relevant to slop science