Adoption of AI for Early Drug Discovery: Challenges and Opportunities for CROs
PushButton AI Team ·
Adoption of AI for Early Drug Discovery: Challenges and Opportunities for CROs
Everyone keeps saying "just find the right AI tool." But the tool was never the problem.
You've probably already bought one. It sounded great in the demo. Your team tried it twice, then went back to
Everyone keeps saying "just find the right AI tool." But the tool was never the problem.
You've probably already bought one. It sounded great in the demo. Your team tried it twice, then went back to doing things the old way. Now it's $200/month quietly draining your account.
That's not a you problem. That's a fit problem.
Here's what caught my attention reading about how pharmaceutical companies are adopting AI for drug discovery. Even sophisticated research teams — with massive budgets and dedicated scientists — are hitting the same wall you are. Not because AI doesn't work. Because they're trying to plug AI into workflows without first asking: "What specific bottleneck am I actually solving?"
The companies getting real results aren't buying AI tools. They're identifying their single most painful, repetitive decision point — then finding the narrowest possible AI solution for that one thing.
That's the mindset shift that changes everything.
This week, pick one task your team does repeatedly that feels like it shouldn't require human brainpower. Write it down. That's your starting point — not a platform, not a strategy, just one honest problem.
One problem. One solution. Thirty days to prove it works.
What's the AI tool your business bought that's still sitting unused right now?
