The Data Is In: AI Is Creating Jobs, Not Killing Them

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Eric pulls up a Financial Times chart showing that the companies spending most on AI are hiring more people, not fewer, and he and Neil use it to take apart the everyone-loses narrative. Neil recounts debating Search Atlas co-founder Monik, who is convinced AI will gut white collar work, and explains why he is seeing the exact opposite across thousands of client companies. They run the historical receipts on radiology, ATMs, and the spreadsheet, argue over whether Google is simply bloated, and look at why HighLevel scaled from 2,000 to roughly 3,000 staff. A detour into an employee who stole from both their companies turns into a lesson on where to spend your attention. The headline fear is loud, but the data underneath tells a different story.

Key takeaways ◾Companies with the highest AI adoption are growing headcount, not cutting it ◾Efficiency raises demand, so you end up needing more engineers ◾Every past automation scare created more jobs than it destroyed

Chapters 00:00 The FT chart everyone misreads 00:52 We're only seven months in 01:20 The white-collar reduction debate 02:26 Why Google looks bloated 03:27 Efficiency means more engineers 04:14 Do more or charge less 05:04 AI creates abundance, not scarcity 05:49 Radiology, ATMs and spreadsheets 06:34 Who pays if the jobs vanish? 08:13 The AI bubble chart 09:25 Only 12 of 8,000 are AI-pilled 09:55 HighLevel's jump to 3,000 staff 11:33 Most companies only do table stakes 12:14 The employee who stole from both 14:42 The lesson: just move on 15:14 The billionaire who destroys rivals

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