Founder AI Strategy Insights

The strategic decisions around AI are where most founders feel least confident. The technology moves fast, the vendor landscape shifts monthly, and the gap between AI marketing and AI reality is enormous. These insights cut through the noise with practical strategic guidance.

What This Track Covers

Build vs Buy — The most consequential AI decision most startups make. When to build custom AI capabilities, when to use APIs, when to fine-tune open-source models, and when to acquire. The answer depends on your moat, your team, and your timeline.

AI for Fundraising — How to position AI capabilities for investors. What due diligence looks like from the technical side. How to demonstrate genuine AI differentiation versus "we use GPT-4."

Team Dynamics — Building and managing AI teams. The tension between ML researchers and production engineers. Hiring for AI roles when you are not an AI expert yourself. Managing expectations around AI project timelines.

Vendor Evaluation — How to evaluate AI vendors, platforms, and tools without getting locked in. The questions to ask, the red flags to watch for, and the contract terms that matter.

AI Product Strategy — Where AI adds genuine product value versus where it is a feature checkbox. How to identify use cases where AI creates defensible competitive advantage.

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