Vinod Khosla: Bipedal Robots Will Be Bigger Than the Auto Industry
The legendary VC explains why expertise will be free, every professional gets 5 AI interns, and why the auto industry is missing its biggest opportunity.
How Khosla Sees AI Transforming Every Industry
This is Vinod Khosla at his most visionary - the Sun Microsystems co-founder and legendary VC laying out predictions that sound outlandish until you remember his track record. His 2018 OpenAI investment was "the largest initial investment I'd ever made by a factor of two" in 40 years of venture capital.
"A billion bipedal robots by 2040" is the underestimate. These robots will do more work than all manual labor humanity does across 7 billion people - and they work 24/7, not 8 hours with breaks. Khosla's calculation: this business will be larger than the auto industry within 20 years, "and the auto industry doesn't know it." Only Elon gets it - Optimus will be Tesla's biggest division.
The "5 AI interns" model is the practical framing everyone needs. Forget AGI timelines. Think: every professional can now supervise 5 AI interns who graduated from Stanford. MDs supervise AI interns from Stanford Medical School. Accountants supervise AI accountants fresh out of school. The interns "grow up" in seniority over 3-10 years. Meanwhile, Khosla is investing in AI versions of every profession with >100,000 workers in the Bureau of Labor Statistics.
"If all expertise were free, how would you design a healthcare system?" This is the right question for every industry. Khosla's been asking boards this since 2012 when he wrote "Do We Need Doctors?" and "Do We Need Teachers?" - blogs that seemed provocative then but prescient now. China is already deploying AI tutors nationwide.
Deep research is already producing board-level strategy. Khosla's example: his chief of staff (PhD in viral immunology) spent time creating an 18-page research report on developmental biology foundations. Deep research produced an 18-page report with the same conclusions in minutes. A retailer CEO got a better strategic analysis than his team produced "over however many months."
The most contrarian take: advertising becomes informational again. AI agents won't care about emotionally manipulative ads for $300 jeans when $30 Levis work fine. "My biggest beef with capitalism is making people buy things they had no intention of buying." But information is valuable - advertising returns to its original purpose.
9 Predictions From Khosla on AI and Robotics
- Billion bipedal robots by 2040 - More labor capacity than all 7 billion humans; works 24/7; "auto industry doesn't know" this is their biggest opportunity
- 5 AI interns for every professional - Practical model for next 5 years; they "grow up" in seniority over time
- Invest in every BLS category >100K workers - Systematic approach to AI expertise replacement
- Deep research produces board-level work - 18-page reports in minutes matching PhD analyst output
- Commonwealth Fusion: net energy by 2027 - Will repower coal plants with fusion boilers, no permitting needed
- Super hot geothermal before 2030 - 400-450°C wells produce 10x power, cheaper than natural gas
- Computers will learn humans, not reverse - Menus will go away; speak English, get code
- Driverless public transit, not private cars - 10x street capacity in bicycle lane width
- Nobel Prizes will go to AI alone - "Whether humans will recognize AI as capable of winning... that's a human limitation"
What This Means for the Future of Work
When expertise becomes free, every industry built on information asymmetry gets disrupted. Healthcare, law, education, finance - all restructure around abundant intelligence rather than scarce experts. The question isn't whether this happens, but whether we redesign systems to distribute the abundance or concentrate it.

