AI in Product, Sales, and Data
AI advertising is about to hit an inflection point, and almost nobody is talking about the real reason why.
The next wave of winners won’t be the companies with the best models (OpenAI, Anthropic, Google, xAI), but the ones with the best monetization engines. AI products that don’t build an ads layer early are missing revenue but more importantly starving their future R&D. What looks like a “product decision” today quietly becomes a structural disadvantage tomorrow. Meanwhile, the companies that ship imperfect ad products quickly (think Netflix) set themselves up for years of compounding gains.
What actually works in AI advertising isn’t contextual ads tied to a chat prompt. The real unlock is Meta-style personalized ads powered by conversion data. This avoids the conflict of “is this answer objective or paid for?”, monetizes every interaction instead of only commercial ones, and lets entirely new categories of advertisers emerge. That long tail is where the real money and defensibility live.
The big misconception is that AI will collapse product variety. In reality, affiliate-style models push everything toward cheap, high-conversion junk. Proper ad bidding does the opposite: it lets new, niche products surface and win, even without historical conversion data. It’s the same mechanism that created the entire DTC ecosystem. If AI platforms adopt that logic instead of retrofitting old affiliate playbooks, they’ll monetize better AND expand the entire digital economy.