Hiring AI talent feels impossible, but it's not. I'll share my counterintuitive strategies for finding, attracting, and closing top-tier AI engineers and researchers without a Google-sized budget or brand.
The Framework That Actually Works
Here is a simple framework for evaluating AI talent. It's not complicated, but it requires discipline.
Step 1: the data tells a different story than your gut
This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: most founders overthink this and underspend on execution
Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly
Nothing works perfectly the first time. The companies that get AI talent right treat it as an ongoing process, not a one-time project.
What I've Learned From 63 Companies
Across 234 angel investments, including Anthropic, a few patterns in AI talent come up again and again.
The founders who handle AI talent well understand that the market doesn't care about your roadmap.
Real Talk: What Actually Matters
Here is what actually matters in AI talent.
First, execution speed beats perfection. Every time. Companies rarely fail because they moved too fast on AI talent. Many fail because they moved too slowly.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. It sounds obvious, but many founders make decisions about AI talent in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around AI market sizing, AI competitive moats, AI exit strategies that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But you don't need to get AI talent right on day one. You just need to get started and keep improving.
Founders who do well at AI talent tend to share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
Q:How do I measure success with this approach?
Pick one or two metrics that directly tie to your goal and track them weekly. Vanity metrics like page views or follower counts rarely matter. Focus on metrics that reflect real engagement or revenue impact.
Q:What tools do I need to get started?
Start with the basics. You don't need expensive software or fancy tools. A spreadsheet, a note-taking app, and direct access to your customers will get you further than any enterprise platform. Add tools only when you hit a specific bottleneck.
Q:How long does it take to get AI talent right?
The timeline varies depending on your starting point and resources. For most founders, expect 2-4 weeks for initial setup and 2-3 months to see meaningful results. I've seen teams move faster when they focus on one thing at a time rather than trying to do everything at once.