What should investors consider when allocating capital to AI?

The answers highlight the importance of technical understanding, disruption risk, revenue durability, domain expertise, and infrastructure needs when allocating capital to AI.

5 answers

Answers

  • Garry Tan

    Founder · Garry'S List

    Technical Understanding

    Garry Tan says founders must understand what's happening in their product in depth, since early reasoning models "are not good at debugging," and says YC treats a founder's public repo as the audit trail for agency.

    Venture Curator · Venture Curator · Read

  • Bill Ackman

    Founder and Chief Executive Officer · Pershing Square Capital Management

    Disruption Risk

    Bill Ackman says investors should think through the risk of disruption, because AI has massively increased that risk.

    The Knowledge Project Podcast · Watch on YouTube

  • Sunil Dhaliwal

    Founder and General Partner · Amplify Partners

    Revenue Durability

    Sunil Dhaliwal says durable revenue, contribution margin consistency, and value delivered to the customer are everything. He points to those as the factors that matter.

    N/A · N/A · Listen at 26:35

  • Navin Chaddha

    Managing Partner · Mayfield Fund

    Domain and Market Fit

    Navin Chaddha says investors should consider domain expertise and market potential, arguing that deep experience is critical in some layers because otherwise hard problems won’t be solved, while new markets can favor beginners.

    The Peel with Turner Novak · The Peel with Turner Novak · Listen at 45:27

  • Rob Toews

    Partner · Radical Ventures

    Infrastructure Needs

    Rob Toews points to the physical infrastructure underlying AI—data centers, energy grid—as an area he is spending more time on, calling the buildout an unprecedented capital investment super cycle.

    Unsupervised Learning: Redpoint's AI Podcast · Watch on YouTube

More Venture Capital questions

View all →