Discover what’s next for AI, from the SaaS reckoning to the agent security gap, at TechCrunch Disrupt 2026 

AI hasn’t conscionable changed however startups build; it’s breached however they sell, unafraid their information and customers, and standard it much rapidly than ever before. At TechCrunch Disrupt 2026, the AI Stage is backmost to excavation into the azygous hottest taxable successful the assemblage for the past fewer years, presented by Google for Startups. This clip around, we’re exploring the concern models AI is rewriting, the wealthiness of unsolved information gaps, and the wholly caller occupation categories AI has created from scratch.

From October 13–15 successful San Francisco astatine Moscone Center, articulation leaders from crossed the AI manufacture arsenic they get into the existent questions founders are facing close now. We’re talking astir the substance of however to terms AI products erstwhile models go commoditized, wherefore cause information has to beryllium rebuilt from the infrastructure up, and what it really means to person a go-to-market program successful an AI-native world.

We’re besides closing successful connected the extremity of our existent pricing window, truthful your accidental to prevention up to $300 is ending soon, truthful grab your summons present earlier it’s gone. Without further ado, let’s spot what’s connected platform for the AI Stage, with much announcements to come:

The Enterprise Isn’t Broken. Your Assumptions About It Are.

AI is present making autonomous decisions wrong the astir delicate endeavor systems successful the world, astatine a velocity accepted information frameworks weren’t built for. This league breaks down what endeavor AI information really requires successful 2026 — from observability and governance to the architecture that separates deployments enterprises tin spot from ones they can’t spend to touch.

With Arsalan Tavakoli, Co-founder and SVP of Field Engineering, Databricks

The Video Intelligence Race: Real-Time, Reasoning, and What Comes Next

Visual AI has moved past attention-getting demos into real-time inference and carnal reasoning. Founders gathering astatine the frontier sermon what happens erstwhile procreation crosses into genuine intelligence.

With Dean Leitersdorf, Co-founder and CEO, Decart, and Amit Jain, Co-founder and CEO, Luma AI

The GTM Engineer: How AI Created Tech’s Next Big Job Category

GTM engineering didn’t beryllium 2 years agone — present it’s 1 of the fastest-growing roles successful tech, with autarkic practitioners gathering million-dollar businesses. Walk distant knowing what AI-native GTM looks similar successful signifier and however it’s reshaping growth.

With Kareem Amin, Co-founder and CEO, Clay

Whether you’re rethinking your pricing model, closing the information gaps successful your AI stack, oregon gathering the go-to-market playbook that doesn’t beryllium yet, the AI Stage is wherever the builders shaping this adjacent question get specific.

Plus, you’ll beryllium doing each this alongside 10,000+ startup, tech, and VC leaders, with entree to each different stage, Startup Battlefield, a wealthiness of networking opportunities, and the accumulation floor. Register today!