The Hidden Trap of Early AI Adoption

This exact story has played out hundreds of times in the startup world. Founders build for 18 months, and then OpenAI ships a new model and the startup dies overnight. Remember the startup that built a custom summarization model and got killed by GPT-4? Or the one that spent a year on document extraction and was beaten by multimodal models?

‍But it's happening inside enterprises as well.

‍Your internal team spent years building something proprietary. And just like those startups, you're watching it become obsolete, because the technology moved faster than any roadmap could predict.

‍And here's why it keeps happening:

‍You've heard of vendor lock-in, where you get trapped by a cloud provider or tech stack. Employee lock-in works the same way. Your team has invested years building this.

‍And now, they're emotionally attached.

1. Building with an exit strategy

Build with the assumption that what you create today might be obsolete in six months. Design architectures that can be swapped out without starting over. And when it's time to throw something away, do it. What matters isn't what you built last year; it's whether you can build something better tomorrow.

This is also where an external team becomes useful. They're not attached to the old decisions, they bring fresh perspectives from other companies, and they can scale up or down as the work evolves. Internal teams protect momentum; external teams help you stay flexible enough to pivot.

2. Staying close to the frontier

Test new models as soon as they're released. Read the research. Attend the conferences. Follow the releases from OpenAI, Anthropic, and the open-source community.

Sound like too much time and effort? This is all we do. If you missed the latest conference, we'll fill you in on what you missed.

When your team learns from us what's cutting-edge, they recognize when it's time to pivot. The gap between "what we're building" and "what's possible now" should be small. Otherwise you might find yourself maintaining legacy infrastructure.

3. Working with partners

Your internal team knows your business. External partners bring the flexibility. We've built AI systems across dozens of companies, so we know what works in production and what just looks good on paper. We can tell you when to stick with an approach and when to pivot. We're not attached to last year's decisions, and we bring the lessons from other companies facing the same challenges.

That's why the best CTOs combine both.

Because in a world where the technology reinvents itself every six months, the only sustainable advantage is being able to move with it.

— Jaime Feo Lopez, CEO of The Agile Monkeys