AI Summary
5 min read“The thing about data in the context of business is it is always born somewhere else,” says George Fraser, CEO of Fivetran. That simple fact is at the center of a quiet war over customer data, as AI agents begin to demand the same access to business systems that humans have had for decades. Fraser and a16z’s Martin Casado discuss why the fight over data access is heating up, why the SaaS apocalypse is probably overblown, and why the right data foundation for AI is likely the one you already have.
The New Reason to Centralize Data
For decades, companies have used tools like Fivetran to pull data from Salesforce, NetSuite, and other systems of record into a single location. The goal was business intelligence: reports on revenue, sales forecasts, and operational metrics. That need hasn’t gone away, but a new one has emerged. “If you want to use AI agents in business, AI agents need context,” Fraser says. Without access to live business data, an AI agent is like ChatGPT before it was connected to the internet—useful only for what it learned during training, unable to answer questions about what is happening in the business right now.
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What you'll learn
- 1 (01:35) **Introducing George Fraser and FiveTran** - George Fraser, CEO of FiveTran (recently merged with dbt Labs), explains the company's core business: helping customers centralize data from systems like Salesforce and NetSuite into one place.
- 2 (03:17) **The Data Industry Shift: Why Vendors Are Locking Down APIs** - Data is always born in systems of record (Salesforce, Workday, SAP). The rise of AI agents is causing some vendors to restrict data access.
- 3 (05:51) **Debating the Real Threat: Disintermediation vs. More Seats** - Martin challenges whether agents are truly a new threat, arguing that programmatic access has always been possible. George concedes the threat may be overblown.
- 4 (10:14) **Why Locking Down APIs is Bad for Customers** - Vendors restricting data access harms customers by preventing them from building a unified data platform, which is essential for both reporting and AI agent context.
- 5 (11:49) **The Open Data Infrastructure Benchmark** - FiveTran created a public benchmark scoring vendors on their data access policies, including egress charges, data completeness, and terms-of-use restrictions.
- 6 (15:11) **Debunking Data Gravity** - George argues that "data gravity" is a fake concept, driven by inefficient data pipelines that copy entire datasets repeatedly.
- 7 (18:11) **Guidance for CIOs Navigating Vendor Lockdowns** - George advises CIOs to insist on having a copy of their own data in a data lake they control.
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Guests on this episode
Show Notes
Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI.
The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common.
Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.
Resources:
Follow George Fraser on X: https://x.com/frasergeorgew
Follow Martin Casado on X: https://x.com/martin_casado
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