Snapshot · The Diary Of A CEO with Steven Bartlett
If governments wait until mass unemployment sets in before regulating AI, it will already be too late — the companies' strategy is to achieve superintelligence first, then automate jobs.
Where this was said
At 59:03 · chapter starts 54:25
This chapter addresses the question most directly relevant to the general listener: what's going to happen to jobs, and when? Kokotajlo's answer is counterintuitive. We have not seen mass unemployment yet — and that's exactly the problem. In science fiction and past technological waves, automation was gradual, industry by industry. But the real-world strategy of the AI companies is different: they are deliberately automating themselves first. The goal is to close the entire AI research loop — to have AIs doing all the research that produces better AIs, so that progress accelerates recursively. Only after they achieve that will they turn the technology outward into the broader economy. This means the familiar warning signs that might prompt public demand for regulation — widespread unemployment in visible industries — won't appear until it's already too late. The mass unemployment in AI 2027 doesn't occur until 2028–2029, after superintelligence has already been achieved. Kokotajlo is clear that technically all jobs could be replaced once true superintelligence exists — what jobs remain is then a political question, not a technical one.
In the AI 2027 scenario, widespread job loss doesn't occur until 2028–2029, after superintelligence has already been achieved — not as a precursor.
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
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