AI has reportedly been responsible for nearly 1 in 5 of all job cuts in America in 2025, totaling around 50,000 jobs, according to company statements.
Snapshot · The Prof G Pod with Scott Galloway
AI has reportedly been responsible for nearly 1 in 5 of all job cuts in America in 2025, totaling around 50,000 jobs, according to company statements.
Where this was said
At 58:54 · chapter starts 57:30
Alice Han frames the central paradox of this section: China — a country known for authoritarian control — is proactively identifying and legislating against AI's harms to workers, while the US — a democracy — has essentially abandoned this role. China's government mouthpiece Workers' Daily recently ran a series identifying digital cloning, AI-cover firings, and algorithmic pay manipulation as specific threats requiring legal responses. Meanwhile, the Trump White House positioned any AI regulation as innovation-stifling — until it decided to punish Anthropic, at which point regulation was suddenly fine. Ed Elson names this the 'libertarian mind virus': an ideological inability to hold two truths simultaneously (free markets AND sensible guardrails). The result, he argues, is that Americans are more scared of AI than any other major population — with every reason to be, given 50,000 AI-attributed job cuts and no regulatory safety net in sight.
The US White House blocked AI regulation as 'stifling innovation' — then immediately tried to regulate Anthropic when it felt politically crossed. Ed Elson calls this the 'libertarian mind virus': an inability to hold two truths at once, that free markets AND rules of the game can coexist.
China's government mouthpiece Workers' Daily identified three core AI threats to labor: companies requiring employees to train their own AI replacements, bosses using 'AI transition' as cover for illegal firings, and opaque algorithms cutting pay and erasing workers' ability to claim their rights. Chinese courts have already ruled AI-based terminations unlawful.
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.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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