What Ramp’s data tells us about AI, unemployment and more with CEO Eric Glyman | E2192
Episode
76 min
Read time
2 min
Topics
Investing, Fundraising & VC, Leadership
AI-Generated Summary
Key Takeaways
- ✓Corporate spending intelligence: Ramp publishes aggregated spending data monthly at ramp.com/data showing which SaaS vendors gain customers and spend, with OpenAI leading new customer count while HubSpot tops new spend metrics, democratizing information previously sold to hedge funds for competitive advantage.
- ✓AI token economics: Ramp consumed over one trillion tokens on OpenAI, spending millions on AI to automate accounting with 99% accuracy. Companies must benchmark multiple models, routing 90% of tasks to cheaper models like GPT-4 Mini and 10% to expensive models, reducing costs while maintaining accuracy.
- ✓Static team phenomenon: Major tech companies maintain unchanged headcount over four years while revenue per employee increases dramatically. Cursor reaches $20-30 billion valuation with 50 employees. Unemployment at 4.2% suggests displaced workers may start more companies rather than face permanent job loss from AI automation.
- ✓College graduate employment crisis: Recent male college graduates now face unemployment rates matching non-graduates at 4.9%, up 50% from 3.25% in 2019. AI models contain more specialized knowledge than any individual, making traditional degree-based specialization less valuable than knowing how to interface with AI tools effectively.
- ✓AI agent adoption curve: Ramp's policy agents automatically approve 90% of expense transactions with 99% accuracy within the first month of use, catching 15x more policy violations than manual review. Non-tech companies adopt faster than tech companies because they lack engineering resources to build custom solutions.
What It Covers
Ramp CEO Eric Glyman reveals spending data from 50,000 companies processing $100 billion annually, showing AI adoption patterns, static team sizes at major tech companies, unemployment trends among college graduates, and the company's path to $1 billion revenue while generating free cash flow.
Key Questions Answered
- •Corporate spending intelligence: Ramp publishes aggregated spending data monthly at ramp.com/data showing which SaaS vendors gain customers and spend, with OpenAI leading new customer count while HubSpot tops new spend metrics, democratizing information previously sold to hedge funds for competitive advantage.
- •AI token economics: Ramp consumed over one trillion tokens on OpenAI, spending millions on AI to automate accounting with 99% accuracy. Companies must benchmark multiple models, routing 90% of tasks to cheaper models like GPT-4 Mini and 10% to expensive models, reducing costs while maintaining accuracy.
- •Static team phenomenon: Major tech companies maintain unchanged headcount over four years while revenue per employee increases dramatically. Cursor reaches $20-30 billion valuation with 50 employees. Unemployment at 4.2% suggests displaced workers may start more companies rather than face permanent job loss from AI automation.
- •College graduate employment crisis: Recent male college graduates now face unemployment rates matching non-graduates at 4.9%, up 50% from 3.25% in 2019. AI models contain more specialized knowledge than any individual, making traditional degree-based specialization less valuable than knowing how to interface with AI tools effectively.
- •AI agent adoption curve: Ramp's policy agents automatically approve 90% of expense transactions with 99% accuracy within the first month of use, catching 15x more policy violations than manual review. Non-tech companies adopt faster than tech companies because they lack engineering resources to build custom solutions.
Notable Moment
A trader placed a $700 million short position on crypto thirty minutes before Trump's tariff announcement, closing it for $160-200 million profit. The timing raised insider trading suspicions, highlighting how global crypto markets operate without traditional financial regulations, creating unprecedented opportunities for market manipulation.
Episode Transcript
Thirty minutes before Trump dropped the news and sent the markets into chaos, someone took a very large short position, about $700,000,000, Jason, in notional value. And then after the crypto market took an enormous dump, they closed the position. And they between a 160 and $200,000,000 reports vary a little bit. Now they have highlighted the person they think this is, a hedge fund manager out of Hong Kong. He's gone on to Twitter and say, hey, guys. I have no incident information. I don't know the Trump family, but that's pretty speculative. I don't think we've locked out a 100% that it was him. But people are just saying, hey. If you make such a strong trade so quickly before an enormous news event and close it, it seems like you had inside information. This Week in Startups is brought to you by PaperOS. Building an empire, PaperOS offers the largest library of AI driven workflows for both founders and fund managers. Whether you're raising capital, launching a fund, or waiting through diligence, PaperOS unlocks simplicity and scale for your ever growing empire. Claim your $10,000 credit@paperos.comslashtwist. NetSuite. The business landscape is very chaotic right now. That's why you need NetSuite by Oracle. Download the CFO's Guide to AI and Machine Learning for free at netsuite.com/twist. And Squarespace, turn your idea into a beautiful web Alright, everybody. Welcome back to This Week in Startups. I'm your host, Jason Calacanis. With me, my cohost, Alex Wilhelm, is back. I'm back. You're back. Friday, you had a little bit of sick nanny, sick kids, the whole thing. Yeah. It happens three times a year when you got kids. Yeah. It was brutal. We're like 90% healed. We're over the hump, and I'm stoked because, gosh, Jason, it's a busy news day. We got a great guest. It's gonna be a great show. Awesome. Well, look, let's just kick off with this first show, the first story here because it's been another seventy two hours of chaos. Good time to review our rules of Trump. Number one, Trump says a lot of stuff. And rule number two, wait seventy two hours. So here we are. There was a big, announcement on Friday that Chinese tariffs were gonna be insane. What's happened since? Well, after Trump said, Chinese tariffs were gonna go up a 100% in addition to the prior levels, we have seen stock market come back a little bit. About $2,000,000,000,000 in market cap was wiped off The US stock market on Friday. That's an enormous amount of money, Jason. People were very worried. The crypto market also took a pretty big hit. Since then, things have come back. Today, taking a look at where things are, the Nasdaq's up 2%. The S and P five hundred's up about 1.5%. So a nice recovery bounce not all the way, but I think it goes to show that the fear that we saw on Friday has come down pretty much materially. …
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by Ramp
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“Ramp consumed over one trillion tokens on OpenAI, spending millions on AI to automate accounting with 99% accuracy”
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