Very soon you'll be meeting your "AI colleagues." And this is a great opportunity for startups. Why? AI is reshaping the labor market. From AI colleagues like programmers and sales agents to full AI-powered vendors, like law firms or HR. More here:

@giaccoangelo.

Excited to be part of this! @NFX @elevenlabsio .Register here:

Packed house tonight for our Voice AI event! @NFX

Carlos!! 🇪🇸🇪🇸.

RT @NFX: Most founders think they’re fast. They're not even close. Mindset is the primary source of friction -- it slows you down. Our fa….

I had the privilege of closing Stanford's Entrepreneurial Thought Leaders series with a discussion about how timing shapes careers and companies. Technology windows are finite. Railroads, plastics, consumer internet—all enjoyed brief periods when market demand exploded and.

Fun to be back on campus 6 years later to speak at one of my favorite classes @Stanford

These are just four exciting areas of Voice AI, and we will see many more. If you are ready to build that future, join us here:

"Voice with a soul" is still developing. But an example we are excited about is Autograph's AI historian calls you weekly and intakes your stories, memories -- all that's usually lost with time. The result, a permanent digital afterlife, in your own.

4. The Frontier 🔮. Voice with "soul" is complete whitespace right now. It’s not about automation. It’s about resonance. Voice that listens, adapts, remembers. This will unlock new markets and premium experiences. We've written about what we mean by "soul in-depth here:.

3. The Conversational Data Goldmine 🪙. People share more in conversation than in text, especially when it’s private, 24/7, and judgment-free. That real-time, high-context data unlocks better services and entirely new markets.

2. The Conversational Trojan Horse 🐴. Use voice as a wedge to enter markets where conversations are the central form of information exchange. Nail that ROI, then expand into workflows, data, and full-stack systems.

1. Voice AI as Labor 👨‍🏭. Voice AI is turning software into labor—not just augmenting work, but doing it. Call centers, sales, and training are early examples. The ROI is immediate, and unit economics of AI that works 24/7 are pretty much unbeatable.

Voice AI was inevitable. Voice is how humans truly connect and share. Much of the voice stack is now plug and play, which enables rapid experimentation. We are seeing PMF emerge via four "on-ramps" 🧵.

RT @life_of_ccb: I've been looking forward to this one for a while. I'm delighted to announce Autograph's 2.6M pre-seed raise, led by @NFX….

RT @davipar: we’re building this. since day 1, we’ve been clear: we’re building an AI Computer. It works. It outperforms every framework….

The companies solving these layers will define the AI agent economy. Full breakdown in essay above. And if you're working on any of these ideas reach out to us.

And once we get there, it opens up the really fun and interesting stuff. Once AI agents have auditability, context & coordination, we unlock a new market: B2A (Business-to-Agent).

Layer 3: Coordination – The future isn’t one AI agent. It’s teams of AI agents working together. For that, we need:. -permissioning. -shared knowledge systems. -protocols for agent-to-agent collaboration.

Layer 2: Context – AI agents don’t just need data, they need understanding. Most company knowledge isn’t in databases—it’s in PDFs, emails, Slack. AI agents need a way to dynamically learn & adapt, like human employees do.