Like containerization, AI is a transformative technology where value may accrue to customers and users, not the creators of the core infrastructure. The biggest fortunes from containerization were made by companies like Nike and Apple that leveraged global supply chains, not by investors in the container companies themselves.

History shows pioneers who fund massive infrastructure shifts, like railroads or the early internet, frequently lose their investment. The real profits are captured later by companies that build services on top of the now-established, de-risked platform.

When a new technology stack like AI emerges, the infrastructure layer (chips, networking) inflects first and has the most identifiable winners. Sacerdote argues the application and model layers are riskier and less predictable, similar to the early, chaotic days of internet search engines before Google's dominance.

Top-tier venture capital firms are developing internal platforms with such demonstrable results and strong reputations that founders choose them over competitors offering higher valuations, seeking access to their unique support ecosystem.

To stay relevant, tech platform companies must obsessively follow developers and startups. They are the primary source of insight into emerging workloads and platform requirements. This isn't just for partnerships, but for fundamental product strategy and learning.

The next evolution of AI startup platforms like Polsia is not to be a simple tool, but a complete economy. By creating integrated layers for entrepreneurs, investors, and marketplaces for customers, these platforms build powerful, defensible network effects and liquidity.

While venture capital often praises contrarian thinking, during moments of fundamental technological shift like the current AI boom, the most rational strategy is to be consensus. The market is so open and growing so fast that betting on the obvious winners is the right move.

Rather than picking a winning AI or crypto, the smarter investment is in the 'picks and shovels.' This means focusing on the infrastructure every autonomous agent will require to transact—such as wallets, custody services, and blockchain rails—regardless of which specific application succeeds.

The market is shifting to platforms, but best-in-class point solutions (like Plaid for bank verification) remain critical. The winning strategy isn't to build everything, but to package these specialized services into a cohesive platform, leveraging their focused excellence for distribution and governance.