The Builders Stage Brings Practical Strategies for Scaling Startups to TechCrunch Disrupt 2026

The tech industry’s fascination with artificial intelligence has reached a fever pitch, with every startup founder and investor seemingly fixated on building the next big AI-driven company. Yet, amidst all this hype, it’s easy to forget that many of the most enduring businesses are built on fundamentals, not just flashy technology.

A closer look at the speakers lined up for TechCrunch Disrupt 2026’s Builders Stage reveals a mix of founders, investors, and product leaders sharing practical strategies for scaling startups. While AI is undeniably a dominant theme – with sessions like “What Happens When OpenAI Ships Your Roadmap” and “Building the Next Generation of AI Giants” – it’s clear that the conversation has shifted from solely focusing on AI to exploring its implications for founders.

One notable aspect of this year’s Builders Stage agenda is the emphasis on fundamentals. Sessions like “How to Win When You’re Not Building AI” and “From MVP to Billions of Users: How Product Decisions Must Change at Scale” highlight the importance of efficient growth, retention, revenue quality, and disciplined execution – all of which are just as relevant in an AI-obsessed market as they were before.

This shift towards fundamentals is a welcome development. Startups have long been fixated on building the next big AI product, without stopping to consider whether it’s actually solving real-world problems or meeting genuine customer needs. By focusing on the basics – and acknowledging that AI is not a silver bullet for every business challenge – founders are being forced to think more critically about their products and strategies.

The implications of this AI obsession for founders are clear: they need to refocus on fundamentals. Gone are the days when building a product with AI was enough; today, it’s about building businesses that solve real-world problems and meet genuine customer needs. This means taking a hard look at your product decisions – balancing speed with trust, innovation with reliability – and prioritizing growth, retention, revenue quality, and disciplined execution.

As founders build hybrid teams comprising both humans and AI agents, they need to think carefully about what humans should own versus what gets delegated to AI – and how to balance speed with accountability. Product leaders must also rethink their strategies and prioritize what users really want from AI, rather than just adding features or driving innovation for its own sake.

The role of M&A in early-stage strategy is another crucial consideration. As exits shift and capital tightens, understanding M&A early has become a competitive advantage. Founders who are building with possible acquisitions in mind from day one need to think carefully about how they can create value for acquirers – and what this means for the future of startups.

As we look ahead to the future of startups and AI, one thing is certain: founders need to be adaptable, investors need to focus on fundamentals, and product leaders need to prioritize what users really want from AI. The AI obsession will continue to drive innovation and growth, but it’s also creating new challenges and complexities that require careful consideration.