I keep sitting down to tackle challenges that would have previously needed full cross-functional project teams. Strategy, engineering, data analysis, design. I'm now delivering them myself, and in a tiny fraction of the time.
That's not a boast. It's an observation. And it's why I'm writing this.
I've leapt the chasm and the acceleration is real. Not theoretically. Not coming. Right now.
I've spent 25+ years leading transformation at scale. I've built operating models from scratch across 24 markets. I've led emergency reinventions of billion-dollar accounts. I've staffed, managed, and driven cross-functional teams through incredibly complex builds. I know what that work looks like, how long it takes, and what it costs.
So when I say that I'm now regularly accomplishing alone what used to require a team, I understand the weight of that statement. The AI models I work with daily have crossed a threshold. They're not just answering questions anymore. They are genuinely valuable brainstorming partners, genuinely capable execution partners, genuinely useful project managers, and genuinely sharp data analysts. Not in a "that's a cute demo" way. In a "this fundamentally changes what one person can do" way.
The strategic thinking still comes from me. The judgment still comes from me. But the research, the structuring, the drafting, the analysis, the iteration? All of that now happens at a pace that would have been inconceivable two years ago.
Here's the thing, though. Most people aren't there yet.
Most people I talk to are still in what I'd call the "exploration phase." They've tried ChatGPT. They use it to draft an email sometimes, or summarise a document. Maybe they've asked it a few questions and been impressed. That's great, but it's not acceleration. It's dabbling.
The gap between dabbling and being AI-native is now enormous, and the gulf is expanding rapidly. It's the difference between occasionally using Google Maps and restructuring your entire logistics operation around real-time routing. One is a convenience. The other is a transformation.
Going AI-native means AI isn't a tool you pick up. It's embedded in how you think, plan, and execute. Every project. Every workflow. Every day. It means understanding what the models are great at (and what they're not), knowing how to orchestrate them effectively, and designing your work around their capabilities rather than bolting them onto old ways of working.
When you make that shift, you don't just get a bit faster. You unlock things that weren't possible before.
I've recently founded Qanara, an AI consultancy built around actually building and shipping. We work with companies to accelerate their AI initiatives by doing the work, hands-on, and delivering real capability. Because the gap I described above? That's the defining business challenge right now. Companies that close it will move faster, build better, and outperform. Companies that don't will find themselves watching competitors do things they can't explain.
I'm also writing this because I want to share what I'm seeing. I now sit close to the frontier of what's possible with AI. Building applications, deploying systems within companies, and working hands-on with the latest models every single day. The view from here is exhilarating, and it's moving fast.
This is the first in a series of articles where I'll dig into what AI-native actually means in practice. How to restructure workflows. How to think about AI as a collaborator rather than a tool. Where the models excel and where they fall short. And where all of this is heading, because the trajectory from here is, frankly, staggering.
If you're still exploring, that's fine. Everyone starts somewhere. But I'd encourage you to move past exploration quickly, because the distance between "trying AI" and "being accelerated by AI" is growing every month. The models are getting better at a pace that makes last year's capabilities look quaint.
The acceleration is real. I know because I'm living it, and I'm building with it, every day.
The question isn't whether AI will transform your work. It's whether you'll be ready when it does, or whether you'll be watching someone else move at a speed you can't match.
Damien Healy is the founder of Qanara, an Australian AI consultancy helping businesses accelerate from strategy to impact. He writes about AI-native workflows, frontier AI capabilities, and practical transformation.