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The Twenty Minute VCMike Krieger, Instagram CoFounder & Anthropic CPO: Where Will Value Be Created in an AI World?|E1265
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At a glance
WHAT IT’S REALLY ABOUT
Mike Krieger on where AI value emerges: products, partners, not models
- Mike Krieger, Instagram cofounder and now Anthropic’s CPO, argues that durable AI value will accrue to companies with differentiated go‑to‑market, deep domain knowledge, and proprietary data, not just to frontier model labs.
- He explains how model providers must evolve from “token vending machines” into long‑term AI partners, while also deciding when to build first‑party applications versus enabling an ecosystem via APIs.
- Krieger dives into product and UX challenges unique to AI—non‑determinism, leaky abstractions, eval gaps, trust, and ‘vibes’—and how these shape everything from coding tools to enterprise workflows.
- He also reflects on global competition (including China and DeepSeek), the changing role of software engineers, and how AI may accelerate breakthroughs in domains like healthcare and drug discovery.
IDEAS WORTH REMEMBERING
5 ideasSustainable AI startups need real-world moats: distribution, domain expertise, and proprietary data.
Krieger stresses that the most defensible companies will pair foundation models with deep understanding of specific industries (e.g., finance, legal, healthcare), strong relationships, and data others cannot easily access.
Don’t wait for perfect models; build now so you’re ready when capabilities leap.
Teams that experiment early, suffer current model limits, and build context in a domain are best positioned to capitalize when a new model crosses a quality threshold that finally makes their product viable.
Model providers must offer AI partnerships, not just APIs that trade tokens for tokens.
Anthropic’s strategy is to differentiate via talent, distinctive model “character,” and deep co-design relationships with customers, moving beyond commoditized API access toward long-term, high-trust collaboration.
AI product design now fuses model quality, prompting, evals, and UX into one discipline.
Because models are non-deterministic, designers and PMs are effectively building scaffolds around stochastic systems; choices like follow-up questions, reasoning depth, and memory become core UX decisions, not implementation details.
Agentic coding will shift engineers from code authors to orchestrators and reviewers.
Krieger sees developers increasingly delegating tasks to AI agents, focusing on what to build, system design, and code review (including security and correctness), while tools run experiments, test UI flows, and propose implementations.
WORDS WORTH SAVING
5 quotesThe thing that's gonna give you legs and be durable over the long run is being able to sell into those places, understand them uniquely, and get better for being deployed there over time.
— Mike Krieger
Don't wait around for the models to be perfect. Be exploring in this space, be frustrated by the current generation of the models, and then be very aggressively trying the next one.
— Mike Krieger
Models over time get more different rather than more similar.
— Mike Krieger
We are in day one around: is AI an indispensable part of most people's work? And I think the answer is no.
— Mike Krieger
You can't separate model quality from product and UX anymore… you're designing a scaffold around a fundamentally non-deterministic system.
— Mike Krieger
High quality AI-generated summary created from speaker-labeled transcript.
