# Your AI Bottleneck Was Never the Model

Page: https://stenobird.com/podcast/ypo-technology-network-ai-brief-7728971/your-ai-bottleneck-was-never-the-model
Text version: https://stenobird.com/podcast/ypo-technology-network-ai-brief-7728971/your-ai-bottleneck-was-never-the-model.md
Podcast: [YPO Technology Network AI Brief](https://stenobird.com/podcast/ypo-technology-network-ai-brief-7728971)
Published: 2026-07-09T10:00:00+00:00
Episode link: https://rss.com/podcasts/ypo-technology-network-ai-brief/2972083
Audio file: https://content.rss.com/episodes/382927/2972083/ypo-technology-network-ai-brief/2026_07_08_11_52_18_12d8afcd-99a7-43fc-924d-717e7b71b2a8.mp3
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Duration seconds: 563

## Resource

The strange truth of AI in 2026 is that the technology keeps clearing bars we thought were years away — Alberta's provincial government just used Claude to scan 466 million lines of code in 20 hours, work that would have taken six and a half years by hand — while the business results stay stubbornly flat. MIT finds 95% of enterprise AI pilots deliver no measurable impact; an NBER survey of more than 6,000 executives across four countries finds roughly 90% saw no productivity gain over three years. This week the most sophisticated vendors on earth told you, in dollars, where the real bottleneck is: Microsoft committed $2.5 billion and 6,000 of its own engineers to embed inside customer companies and deploy AI for them — following Amazon's $1 billion, and Anthropic's and OpenAI's own embedded teams. Stephen Forte on why your AI bottleneck was never the model, and the three moves to make before you fund one more pilot.

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