Businesses That Understand This AI Shift Will Own The Next 3 Years
Are you still waiting for AI to “arrive”? My clients are hiring execs faster than ever using AI tools I built. So if you’re still waiting, you’re already behind. The gap between companies playing with AI and those strategically adopting it is already a chasm.
And it’s about to get much, much wider. I’m going to show you the AI Adoption Flywheel. The exact framework CEOs are using right now to turn experiments into real results, even when most of those experiments flop.
I’m Dominic Monkhouse. I scaled two UK firms. Rackspace and Peer-1. To £30m ARR in five years. I’ve coached over 100 founder-CEOs, 12 of whom have had fantastic exits. What I’ve learned is that to get momentum, the first push is critical.
⏱️ TIMESTAMPS:
0:00. Are You Still Waiting for AI to Arrive?
1:40. Where Do You Start? Find Your Single Biggest Constraint
3:21. The AI Adoption Flywheel Framework 3:37. Stage 1: Identify Your Constraint
3:50. Stage 2: Experiment Rapidly
4:16. Stage 3: Systemise Successful Experiments
4:41. Stage 4: Amplify Wins and Learn from Failures
5:58. The Choice: Downward Spiral or Virtuous Cycle?
THE GREAT DIVERGENCE: Jason Lemkin replaced a 10-person sales team with 20 AI agents. That’s today, not the future. Meanwhile, a sales leader I spoke with needs six months for a committee to approve an AI experiment. The software will be obsolete by then. If you don’t start, you can’t win.
THE FIRST PUSH: Apply AI to your single biggest constraint. Not random tasks. Peter, CEO at DataBarracks, built his company’s new MVP himself over a weekend using AI tools. Zero coding background. Now it’s their go-to-market centrepiece. You need to lead the charge.
THE AI ADOPTION FLYWHEEL:
1. IDENTIFY Find your single biggest constraint
2. EXPERIMENT. Run rapid experiments within that area
3. SYSTEMISE Turn successful experiments into repeatable systems
4. AMPLIFY. Share wins, learn from failures, spin the flywheel faster
THE HUMAN ELEMENT: A CEO hired someone with a BA in English literature and huge curiosity. That one person now ships more features faster than his entire eleven-person dev team. Three features a week while doing a COO role. The bottleneck isn’t coding. It’s creativity and the ability to prompt.
KEY TAKEAWAYS:
- Jason Lemkin replaced 10 salespeople with 20 AI agents. That’s today, not the future
- Back 20 experiments knowing 19 may fail. You can’t wait six months for committees
- Apply AI to your single biggest constraint with the AI Adoption Flywheel: Identify → Experiment → Systemise → Amplify
- The bottleneck isn’t coding. It’s creativity and curiosity
- If you don’t own it as CEO, your competitors will own you
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