The CEOs of OpenAI, Nvidia, and Google are in agreement: AI is about to change work in ways most people aren't prepared for. Sam Altman: Seize the arbitrage gap. In a recent podcast, OpenAI CEO Sam Altman discussed how GPT-5.2 can match or beat expert-level humans on roughly 71% of knowledge work tasks. But he also sees a major gap between what AI can do and what people are actually using it for — creating a serious arbitrage opportunity for early adopters willing to integrate it into their workflows now.
Video editing company Kapwing just published research on AI-generated YouTube content, finding that over 20% of videos shown to fresh users are “AI slop” — with top channels pulling billions of views and millions in ad revenue. The details: The study defined 'AI slop' as low-quality, auto-generated content made to farm views, distinct from quality AI-assisted videos. Researchers created a new YouTube account and found 21% of the first 500 recommended videos pushed by the platform’s algorithm were ‘AI slop’. The top ‘slop’ channel was India's Bandar Apna Dost, an anthropomorphic monkey that totaled over 2B views and an estimated $4.25M in yearly earnings.
A machine can now ingest an absurd amount of scientific literature and treat it like working memory. It can surface connections no human would spot simply because no human can hold that much context in their head at once.
That is extraordinary.
But the machine does not know which connections matter. It finds all of them: the significant ones and the trivial ones, the ones that unlock new treatments and the ones that are statistical lint.
The human who can tell the difference becomes more valuable, not less.
The machine solves. The human selects.
Selection is harder than solving. That is the thing nobody wants to say.
