AI funding isn’t slowing down but it is shifting.
In 2025, investors aren’t just throwing money at every AI pitch deck. They’re getting sharper, more selective, and more focused on what actually scales.
In this episode, I break down what top-tier VCs are really looking for in today’s AI companies based on dozens of founder conversations, pitch teardown requests, and growth strategy work.
You’ll learn:
Why “We use LLMs” isn’t enough anymore
Investors want to know your defensibility. Your moat. Your wedge. Just using GPT-4 doesn’t cut it.
How to clearly articulate your unfair advantage
I’ll walk through the 4 types of moats that actually stand out in investor meetings and how to frame them.
What your GTM strategy says about your company
Generic demand gen won’t cut it. We cover what the best founders are doing to prove traction with real users, not just hype.
How to position your AI startup for the capital stack
I’ll share what early-stage VCs, growth funds, and strategic angels each want to see and how to tailor your messaging.
Final takeaway:
You don’t need to be the most advanced tech company. You need to be the clearest business case.
If you’re building in AI and aiming to raise, this episode gives you the clarity to pitch like a category leader; not just another LLM wrapper.
