Why user data is the next $5T market and why no one's captured it yet.

Reddit r/AI_Agents News

Summary

The article argues that user data is a massive untapped market (~$5T over 10 years) but remains uncaptured due to privacy regulations and user resistance; the only effective model is trading data for personalization rather than cash.

ran the math on this and it's kind of insane. avg person in the west generates 5-20gb of personal data a day. messages, location, voice, app behavior, wearables, the works. \~1B people. at ad-ARPU prices that's roughly $5T over 10 years if you account for growth. the weird part is no one can actually capture it. google can't see your hinge data. meta can't see your chatgpt. and the second any of them try to aggregate across apps, regulators and users lose their minds. 19 US states now have full privacy laws on the books. and "pay for your data" startups have all flopped in the west. the payout is too small to care about. crypto-flavored ones are worse. the only thing that actually works is trading data for *personalization*. people will hand over everything if it makes their life measurably better — see chatgpt, gemini personal, etc. value-for-context, not money-for-data. genuinely curious where people think this falls apart. the per-TB number is the softest part imo.
Original Article

Similar Articles

Data Isn't Scarce. Your Imagination Is (8 minute read)

TLDR AI

Asuka Zheng argues that the 'running out of training data' panic is misplaced; the real scarcity is a lack of imagination in collecting diverse, long-horizon data, illustrated by her SRE replacement project and broader research trends.

Why i think the 'just go local' AI trend is simply a tech bubble delusion

Reddit r/ArtificialInteligence

The article argues that the trend of 'going local' with expensive AI hardware is a tech bubble delusion, as most users overestimate their needs and cannot justify the cost, especially as cloud AI moves to usage-based pricing after being financially unsustainable.