Generative AI reached 53% population adoption within three years faster than the PC or the internet. While the U.S. ranks 24th in adoption at 28.3%, the estimated value of generative AI tools to consumers in the country reached $172B annually by early 2026. Explore more findings
ECONOMY
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Data Center Capital Intensity Could Shift Equity Market Leadership
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The outlook from Bank of America’s strategists is for decline in the S&P 500 as the “AI spenders” such as Google get replaced by large-cap value stocks. The AI data center race is becoming more and more capital-intensive, and leverage keeps rising, so that Google is less
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AI Benchmark Scores Should Include Cost per Task
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Reporting benchmark results as a scalar number, e.g. "75% on XYZ" is completely meaningless at this point. You should always report efficiency scores, e.g. "75% at a cost per task of $10."
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Limited Worker Replacement Could Undermine Generative AI Investment Returns
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GenAI isn’t good enough to replace millions of employees, so there is basically no way the capex is going to earn out.
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Inference Scale Could Let Frontier Labs Undercut Open-Weight Models
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With inference scale and research scale to drive efficiency, and ever-improving frontier models as brains, this would be a way for the Labs to undercut even open weights models. Some companies will still want to use open weights, but the cost/performance curve may not favor it.
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Frontier Labs Could Orchestrate Cheaper Models With Stronger Models
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Anthropic and OpenAI will increasingly be able to serve weaker versions of frontier AI (Haiku, Instant) at very low cost And owning the full range of intelligence means they might provide "organizations of models" delivering lower cost/higher performance than any 3rd party could
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Fable Workflows Can Trade Expensive Big Swings for Incremental Steps
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interestingly, this holds true for how you use models too should you use fable to take a big expensive swing? or play small ball to grind your way up the hill?
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Trump Links AI Guardrails to Potential Public Contributions From AI Companies
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Trump is now openly linking AI guardrails with a possible public “contribution” from companies making huge profits. This morning, he pointed to the recent Anthropic intervention as proof the administration can “stop something” it does not like, then suggested AI companies may
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Token Spending Can Function as Research and Development for AI Users
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And yes, costs matter. But (1) some of your tokens are basically R&D spending for yourself to figure out what these systems can do and (2) Fable-class model capabilities will only get cheaper.
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LLM Commoditization Could Put Pressure on AI Provider Profits
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me, 2023: profits will be meager; LLMs will become a commodity. today: LLMs are in fact literally about to become a commodity. scoop from @MadisonMills22
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