Choosing AI Platforms When Everything Changes Every Quarter

The hardest part of choosing an AI platform right now isn't comparing features. It's knowing that whatever leads today may not lead in six months. Models improve, prices shift, and vendors change direction faster than a typical procurement cycle can keep up.

How should you approach choosing an AI platform?

Choosing an AI platform in a fast-moving market means optimizing for flexibility over perfection. Instead of betting everything on the current best model, choose platforms and contracts that let you switch models, keep control of your data and prompts, and avoid deep lock-in where it isn't necessary.

Selection criteria that preserve your options

None of these criteria ask which model is best today. That's deliberate. The best model today is the least durable fact in the whole decision.

In a market that changes every quarter, the best platform is the one that lets you change your mind.

What about committing deeply to one vendor?

Sometimes it's worth it, for example when a vendor's tools are deeply integrated with systems you already depend on. Just go in with your eyes open: negotiate strong exit and model-change terms, and keep a tested alternative for anything critical, as in the consolidate or diversify framework.

The takeaway

Rewrite your AI platform criteria to weight flexibility at least as heavily as current performance. Your future self will thank you. Navigating fast-moving technology markets is a core part of our technology strategy work.

Frequently asked questions

How do you choose an enterprise AI platform?

Weigh flexibility to use multiple models, data control, security and compliance, integration with existing systems, total cost, and contract terms, rather than focusing only on today's model performance.

What is AI vendor lock-in?

Dependence on a single AI provider that makes switching costly or difficult, often due to proprietary integrations, data formats, or custom configurations.

Should companies use multiple AI models?

Many organizations benefit from being able to use more than one model, matching models to tasks and switching as capabilities and prices change.

Choosing an AI platform and worried about betting wrong? Let's keep your options open.