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AI Transforming Go-to-Market Strategies at Disrupt 2025

At TechCrunch Disrupt 2025 (Oct 27–29, San Francisco) a Going Public Stage panel will examine how AI is reshaping go-to-market strategies. Leaders Nirav Tolia (Nextdoor), Jane Alexander (CapitalG), and Vanessa Larco (Premise/NEA) will share practical lessons for founders and investors. Regular Bird tickets save up to $650 through Sept 26; prices rise Sept 27.

Published September 15, 2025 at 02:10 PM EDT in Artificial Intelligence (AI)

AI Is Rewriting Go-to-Market Playbooks

At TechCrunch Disrupt 2025 (October 27–29, San Francisco) a high-energy panel on the Going Public Stage will tackle a pressing question: how should founders build lasting companies while AI, markets, and customer expectations shift underfoot?

The panel brings three experienced GTM leaders with complementary views. Nirav Tolia, CEO and co-founder of Nextdoor; Jane Alexander, partner at CapitalG and former CMO at Carta; and Vanessa Larco, co-founder of Premise and former NEA partner, will explore how AI changes go-to-market from the inside out.

  • Nirav Tolia: community signals and product-led growth in an AI-first world.
  • Jane Alexander: scaling GTM teams and linking AI-driven insights to revenue operations.
  • Vanessa Larco: product strategy and investor lens on where AI creates durable market opportunities.

Why this matters now: AI is shifting how companies find, qualify, and convert customers. That's not just marketing automation—it's reworking product hooks, sales sequencing, content personalization, and even the metrics leaders use to judge traction. Expect the conversation to move from theory to tactical execution.

Real-world shifts to watch for include:

  • Signal-driven qualification: AI models that spot high-intent behaviors across product usage and community interactions reduce wasted outreach.
  • Automated personalization at scale: content and offers tailored in real time to segments previously too small to address.
  • Faster feedback loops: AI-assisted experiments that shorten the time from hypothesis to validated GTM play.

But the panel will also surface trade-offs: model drift, privacy and compliance, and the risk of over-indexing on short-term signals while missing long-term brand and product fit. Founders need guardrails that balance rapid iteration with durable differentiation.

Actionable takeaways founders and investors should watch for:

  • Prioritize signal hygiene: invest in clean data and clear leading indicators before expanding AI-driven outreach.
  • Define minimum viable personalization: start with a few high-impact touchpoints and measure lift before scaling.
  • Use experiments to surface durable advantages, not just short-term conversion gains.

Registration logistics: Disrupt runs October 27–29 in San Francisco. Buy tickets to catch this panel plus 200+ other sessions. Regular Bird pricing saves up to $650 and is available through September 26; prices increase on September 27.

QuarkyByte will be tracking the session and translating the discussion into practical frameworks for founders and go-to-market leaders — from building measurable AI pilots to mapping the organizational changes needed to capture long-term value.

If you’re shaping GTM strategy in a world where AI changes buyer expectations by the week, this panel will be a can’t-miss moment for actionable thinking and real examples from those who have scaled through multiple market shifts.

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