The significant barrier of messy, legacy data is being overcome by AI. Snowflake is developing "agent-driven migrations" that automate the process of moving data from old systems onto modern platforms. This drastically reduces project timelines from multiple years to just a few weeks.

The ability of AI agents to automate complex data migrations between platforms will significantly weaken "switching costs" as a competitive advantage for software companies. Businesses will need to rely more on other moats like network effects.

AI agents make it dramatically easier to extract and migrate data from platforms, reducing vendor lock-in. In response, platforms like Snowflake are embracing open file formats (e.g., Iceberg), shifting the competitive basis from data gravity to superior performance, cost, and features.

For established firms like VCs, the primary challenge in adopting AI isn't change management or model selection. It's the painstaking process of migrating and cleaning decades of financial data from outdated systems to make it accessible and useful for modern AI agents.

AI-driven approaches dramatically reduce the time and cost of modernizing legacy systems. What was once a multi-year, multi-million dollar mainframe project can now be completed in as little as 90 days, fundamentally altering the ROI for tackling technology debt.

The primary moat for many SaaS companies was the complexity and high cost of migrating away from their product. AI agents can now automate this process, eroding that advantage, increasing competition, and giving buyers significant leverage to renegotiate contracts.

Enterprises are trapped by decades of undocumented code. Rather than ripping and replacing, agentic AI can analyze and understand these complex systems. This enables redesign from the inside out and modernizes the core of the business, bridging the gap between business and IT.

AI coding agents will make migrating between complex enterprise systems like SAP and Oracle dramatically easier and cheaper. This erodes the moat of high switching costs, forcing incumbents to compete on product value rather than customer lock-in, where they once held customers as "hostages."

Enterprises are finding immediate, high return on investment by using AI to port legacy codebases (like COBOL) to modern languages. This mundane task offers a 2x speed-up over traditional methods, unlocking significant infrastructure savings and even driving new developer hiring.