From Hype To Outcomes: How VCs Recalibrate Around Agentic AI

Guest Author Email Facebook Twitter LinkedIn By Harsha Kapre For much of the past year, the conversation around agentic AI was dominated by ambition. Founders and investors alike talked about autonomous systems that could reason, act and operate with minimal human involvement. As we move into 2026, that narrative is shifting away from what agents might do someday toward what they can reliably deliver today. Harsha Kapre, head of Snowflake Ventures This shift is evident in findings from Snowflake’s Startup 2026: AI Agents Mean Business report, which quotes from conversations with eight AI-focused VC investors who discuss what they see in the market today and in the year ahead. Their perspectives reflect a broader recalibration underway across the venture ecosystem. The experimentation era is giving way to one of more intentional adoption. AI is increasingly treated not as a standalone feature, but as an operating layer — embedded in workflows, governed by policy and evaluated on outcomes rather than ambition. In practice, that means agents are finding traction in narrow, well-defined use cases. Fully autonomous agents remain rare in production, particularly for complex or high-risk workflows. What is working are agents deployed in data-rich domains like software development, customer support, sales operations and internal analytics. In these environments, human-in-the-loop designs are not a compromise; they are often the reason agents can be trusted and adopted at scale. What investors look for This shift has changed how startups are evaluated. As agentic tooling becomes easier to build, impressive demos have lost much of their signaling power. What matters now is evidence of usage: customers running agents in production, measurable productivity gains and early revenue momentum. Founders need to clearly articulate how their agents improve existing workflows and why that value persists over time. Without that clarity, even technically strong products struggle to stand out. Capital dynamics are also shaping the market. Investment continues to concentrate around a small group of foundational models and infrastructure providers. Rather than crowding out startups, many investors see this as an enabling layer. Well-capitalized platforms absorb the cost of training and inference, allowing startups to focus on application-level value. Looking ahead, 2026 is shaping up to be less about sweeping claims of autonomy and more about execution. Enterprises want agentic solutions that fit into existing operating models, meet governance requirements and deliver quantifiable business impact. For VCs, the hype cycle has done its job. The next phase will reward startups that turn agentic AI into focused, outcome-driven businesses and can prove it. Harsha Kapre is the head of Snowflake Ventures where he focuses on investments to drive innovation and unlock new value on top of the Snowflake platform. A seasoned product management leader, he originally joined Snowflake in 2017 as a senior product manager, a role in which he played a pivotal role in the company’s partner ecosystem expansion. Prior to Snowflake, he spent 18 years at IBM with various roles across master data management and data platforms. Kapre earned his bachelor’s degree in electrical engineering and computer science from the University of California, Berkeley. Illustration: Dom Guzman TagsAI startups venture Stay up to date with recent funding rounds, acquisitions, and more with the Crunchbase Daily. You may also like Artificial intelligence • Startups • Venture Turing Winner LeCun’s New ‘World Model’ AI Lab Raises $1B In Europe’s Largest Seed Round Ever Marlize van RomburghMarch 10, 2026 The funding for Paris-based AMI to help it build AI "world models" represents the largest seed round ever for a European startup and one of the... Artificial intelligence • Startups • Venture Swedish Legal Tech Startup Legora Triples Valuation To $5.55B With $550M Series D Led By Accel Mary Ann AzevedoMarch 10, 2026 Legora, an AI platform built for lawyers, has raised $550 million in a Series D funding round, valuing the Swedish company at $5.55 billion. Artificial intelligence • Real estate & property tech • Startups • Venture Exclusive: Rebar Lands $14M To Help HVAC Suppliers Generate Quotes Faster With AI Mary Ann AzevedoMarch 10, 2026 Rebar, a New York-based startup building an AI-generated quote system for commercial HVAC suppliers, told Crunchbase News exclusively that it has... Artificial intelligence • Enterprise • SaaS Will Features Even Exist? How AI Is Forcing SaaS To Rethink The Product Itself Itay SagieMarch 10, 2026 With SaaS customers gaining the ability to build their own workflows or features with AI coding tools, vendors who aren’t prepared for the shift... Artificial intelligence • Startups • Venture Turing Winner LeCun’s New ‘World Model’ AI Lab Raises $1B In Europe’s Largest Seed Round Ever Marlize van RomburghMarch 10, 2026 The funding for Paris-based AMI to help it build AI "world models" represents the largest seed round ever for a European startup and one of the... Artificial intelligence • Startups • Venture Swedish Legal Tech Startup Legora Triples Valuation To $5.55B With $550M Series D Led By Accel Mary Ann AzevedoMarch 10, 2026 Legora, an AI platform built for lawyers, has raised $550 million in a Series D funding round, valuing the Swedish company at $5.55 billion. Artificial intelligence • Real estate & property tech • Startups • Venture Exclusive: Rebar Lands $14M To Help HVAC Suppliers Generate Quotes Faster With AI Mary Ann AzevedoMarch 10, 2026 Rebar, a New York-based startup building an AI-generated quote system for commercial HVAC suppliers, told Crunchbase News exclusively that it has... Artificial intelligence • Enterprise • SaaS Will Features Even Exist? How AI Is Forcing SaaS To Rethink The Product Itself Itay SagieMarch 10, 2026 With SaaS customers gaining the ability to build their own workflows or features with AI coding tools, vendors who aren’t prepared for the shift... Artificial intelligence • Crypto • M&A • Regional • Seed funding • Startups • Venture Q1 Global Startup Funding Posts Strongest Quarter Since Q2 2022 With A Third Going To Massive OpenAI Deal April 3, 20257 Min Read