This Company of 10 Spends $32M a Year On Tokens (What AI Native Looks Like)

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An Old Fashioned, some red lipstick and a black dress…sigh, there’s just something undeniable about a good ol’ classic. The beloved Vegas showgirl may be an endangered species these days (insert tear), but “VEGAS! THE SHOW” preserved those feather-clad beauties and the likes of an era when everything was flashier and dripping with sophistication. What’s that you ask? Can a show filled with gorgeous and talented women a la Rat Pack era really exist in the here and now? Oh yes my friend, it sure can and all we have to say is raise that curtain and let the good times roll. With a little song, a lot of dance and that certain sultry allure that only old timey Vegas could pull off, this is a trip down memory lane and, well, it’s pretty legit. The costumes are fun, funky, sexy and so real. Ok, well maybe not the candy-themed costumes but hell, their Sammy Davis Jr. sure had us pining for an autograph. For a city that was built on pure, raw talent and obviously dolla dolla bills, this show celebrates iconic moments from the city's rich entertainment history through the decades that made the Vegas we know and love today. And we’ll tip our top hats to that.

RockSinCity

Published Nov 3, 2026

Eric Siu and Neil Patel discuss what AI-native companies change about marketing, sales and how teams work, starting with the Spawn founder’s reported $32 million a year in Claude spend. They explore giving AI tools away for free, why a high sales win rate can signal a problem, and when acquisitions help a business grow.

Takeaways

1. Ask what your agents can do beyond the tasks you would normally give a person.
2. Free tools can help people understand your work and start a sales conversation.
3. Fast iteration still needs enough evidence to tell useful changes from harmful ones.
4. A high win rate can point to weak pricing, poor expectations or the wrong offer.
5. Listen to buyers and connect the offer to the problem they need to solve.
6. Treat M&A as a tool with trade-offs in price, culture and growth.
7. Consider who takes the risk when AI makes work easier to verify.

Chapters

00:00 Cold open: AI-native companies and the sales warning
00:37 10 people. $32M a year in Claude spend
02:41 AI tools that ship real work
06:46 Iterate fast. Test carefully.
10:27 Sales laws: why 50% can be a warning
17:29 Give your AI away for free
23:45 What AI-native means for everyone else
26:21 When the product becomes the proof
29:33 Trust, trends and AI discovery
38:54 AI, research and the speed of change
41:18 Make the offer clear. Listen more.
43:10 M&A is a tool, not a verdict
53:39 Learning in public
58:05 Who owns the risk?
1:03:09 AI search and the advertising economy

Hosts: Eric Siu and Neil Patel
Recorded October 29, 2026 · Marketing School · MS1029