
295: Futr.network — AI Agents That Pay You for Your Data
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About this listen
Alex (ex-BMO investment banker turned founder) shares how Futr.network is flipping the ad/data model with AI agents that pay you for training them. We dig into why the Web2 barter economy (free services for your data) is collapsing, how zero-party data and a data supply chain can route value back to consumers and data contributors (think: mortgage brokers, lenders), and why agentic advertising will disrupt Google/Meta style targeting.
Timestamps
[00:00] “Time for a new data model” — agents that pay you for training data
[00:01] Alex’s path: BMO (M&A → FIG → Digital Assets), fund, stables, now AI agents
[00:03] What’s broken: Web2 barter system, cookies/pixels, hidden training sets
[00:05] Futr.network: self-sovereign AI agent + incentives for data contributors
[00:06] Mortgage example: underwriting pack → agent training → recurring royalties
[00:09] Why prior “get paid for your data” failed; why now works (AI agents = $$)
[00:15] KPIs: users, dollars on rails, brand demand for zero-party data
[00:16] Beachhead: auto loans (optimize payments, save interest, set-and-forget)
[00:18] Rails: bank links, credit/debit, embedded wallet, stablecoin payments
[00:19] Next verticals: mortgages, student loans; beyond finance → life data
[00:21] What most miss about AI: it ran Web2 behind the scenes for years
[00:24] High-fidelity AI: no hallucinations when money moves; enterprise-grade stacks
[00:28] AI × crypto: machine-speed decisions need machine-speed value settlement
[00:30] Data supply chain (like music royalties) via blockchain micropayments
[00:32] The disruption: agentic advertising eats digital ads in 3–5 years
[00:33] The ask: brands & enterprises; network effects; just raised $5.1M; more to come
[00:37] Beta access coming; train your agent, earn tokens
Connect
https://futrnetwork.com/
https://www.linkedin.com/company/thefutrcorporation/
https://www.linkedin.com/in/alex-mcdougall-290b0b39/
Disclaimer
Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
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