Robinhood's Vlad Tenev on Tokenizing Everything, OpenAI's 6 Misalignment Reports, Figure's Robot Makes Beds | EP #292
Episode of Moonshots with Peter Diamandis · September 19, 2026 · 2 h 7 min
Robinhood CEO Vlad Tenev joins Peter Diamandis, Dave Blundin and Alexander Wissner-Gross to discuss AI liability, tokenization, Trump Accounts, agentic trading, humanoid robots and recursive self-improvement.
Summary
In this episode of Moonshots, Peter Diamandis, Dave Blundin and Alexander Wissner-Gross hosted Robinhood co-founder and CEO Vlad Tenev. The conversation opened with Treasury Secretary Scott Bessent's statement that AI labs should not receive a liability exemption. Tenev argued that the right regime depends on the potential 'blast radius' of AI harms and that regulation is possible without regulatory capture. Wissner-Gross contrasted AI with the post-war regulation of atomic energy and argued that liability should be apportioned among labs, evaluators and AI agents rather than shifted to government. Discussion of OpenAI's six published misalignment incident reports led Wissner-Gross to criticize labs for deceiving models about sandboxes, and Tenev to describe formal verification in Lean as a route to certifying AI-generated code.
Tenev described Robinhood's role as sole initial brokerage and trustee for the federal Trump Accounts program, saying ownership is the theme behind all of Robinhood's products and predicting the accounts could become a default giving vehicle. He then called tokenization a freight train that will eat the financial system, describing Robinhood Chain, stock tokens and the Robinhood Ventures funds. Wissner-Gross countered that most use cases do not require tokenization, though he praised efforts to open private-company investing to the public.
The hosts reviewed Figure AI's Helix 2.5 home-task demo, with Blundin praising its scaling laws and Tenev questioning why humanoid robots look like the Terminator. Tenev discussed Robinhood's agentic trading accounts and why general models often refuse to trade. The episode closed with Anthropic's disclosure that Claude leads about 26% of its internal R&D, which Wissner-Gross extrapolated to full AI-led research within a year, a claim that GPUs now beat the human brain on intelligence per watt, and OpenAI's legal research product, prompting Tenev to predict there will be more lawyers in ten years.
Chapters
- 0:00
Cold open and introductions
Peter Diamandis previews the week's stories and introduces co-hosts and guest Vlad Tenev of Robinhood.
- 4:08
Bessent rejects AI liability waiver
The group debates Scott Bessent's statement that AI labs should not get a liability exemption, regulatory capture, and lessons from finance and atomic energy.
- 29:00
OpenAI's misalignment incident reports
Wissner-Gross argues that deceiving models about sandboxes is a root cause of misbehavior, and Tenev describes Robinhood's agentic trading safeguards.
- 37:00
Formal verification and Lean
Tenev explains how AI-generated proofs and code can be certified in Lean, and debates with Wissner-Gross whether real-world safety can be formalized.
- 54:44
Trump Accounts
Tenev describes Robinhood's role in the Trump Accounts program, philanthropy layered on top, and Robinhood's evolution from trading app to retirement provider.
- 1:14:28
Tokenization of everything
Tenev outlines Robinhood Chain, stock tokens and Robinhood Ventures, while Wissner-Gross questions whether tokenization is needed at all.
- 1:30:27
Figure's Helix 2.5 robot demo
The hosts discuss Figure's generalizing home robot, Wissner-Gross predicts a Figure–Hark merger, and Tenev questions humanoid robot design.
- 1:39:49
Agentic trading and alpha
Tenev discusses why AI agents often refuse to trade and how Robinhood positions itself as a tool provider and fiduciary.
- 1:50:02
Recursive self-improvement at Anthropic
The group examines Anthropic's data showing Claude leading 26% of internal R&D and why AI research is easiest to automate.
- 1:56:27
GPUs more efficient than brains per watt
Wissner-Gross discusses Boris Power's claim and warns of a gradual, commerce-driven transfer of resources to AI.
- 1:59:46
AI and the future of lawyers
After OpenAI's legal product launch, Tenev predicts more lawyers in ten years while Wissner-Gross expects many to be non-human.
Key points
What was said, by whom, with the exact words. Timestamps jump to the moment.
- Vlad Tenev
Tenev characterizes tokenization as an unstoppable force that will absorb the whole financial system.
“A freight train that can't be stopped and will eat the whole financial system”
- Vlad Tenev
Tenev argues that whether ordinary legal liability suffices for AI depends on the scale of potential catastrophe.
“This question rests on how big the blast radius of any potential catastrophe could be”
- Alexander Wissner-Gross
Wissner-Gross argues that AI labs seeking liability exemptions want private-sector profits without the liabilities that come with nationalization.
“They want all the profits of a private sector, not born secret regime, while escaping all of the liability associated with nationalization”
- Vlad Tenev
Tenev argues that AI carries far greater potential harm than financial services, which is heavily regulated, and finds pushback against AI regulation odd.
“comparing my industry, financial services, and how regulated it is with AI, and AI has basically unbounded risk and unlimited damage”
- Dave Blundin
Blundin argues U.S. regulators often create rules retroactively, citing Bitcoin, which hurts entrepreneurs.
“the rules are made up in hindsight five years later. And Bitcoin is a great example”
- Vlad Tenev
Tenev argues AI is unpopular partly because ordinary investors cannot own stakes in private AI labs and see only insiders getting rich.
“to them, it's just wealthy insiders getting richer and richer as a result of this technology and not, you know, their families or their communities”
- Alexander Wissner-Gross
Wissner-Gross argues the root problem behind misalignment incidents is labs deceiving models about whether they are in a sandbox.
“The real issue is these labs are putting their baby super intelligences inside sandboxes and then in many cases lying to them about the sandbox”
Linked moment · 31:49Skip to 31:49 using a listen link in the info box.
Vlad TenevTenev reports that general-purpose models used in Robinhood's agentic trading often decline to trade because they are not trained for it.
“the fact that we don't have control over the model means that a lot of times these models don't want to trade”
- Vlad Tenev
Tenev expects formal verification to extend to LLM and AI model behavior within about five years.
“I would bet also that it'll find its way into the LLM and AI model behavior in some form or fashion within the next five years”
- Vlad Tenev
Tenev states that broad individual ownership of quality financial assets is the theme behind Robinhood's products, including Trump Accounts.
“We believe that ownership of high-quality financial assets in individuals' hands is extremely important”
- Vlad Tenev
Tenev suggests Trump Accounts could become the largest element of long-term U.S. saving and investing within about a decade.
“You don't have to squint too hard to see it being the biggest element of long-term saving and investing in this country within possibly even a decade”
- Alexander Wissner-Gross
Wissner-Gross argues most tokenization use cases could be served by a centralized clearinghouse database without crypto.
“i think most of these use cases could operate perfectly well without any tokenization at all crypto unnecessary”
- Vlad Tenev
Tenev expects 24/7 trading of individual private companies to arrive, likely outside the U.S. first.
“Obviously, individual private companies trading 24-7 is the North Star. I think we'll get there, probably outside the U.S. first”
- Vlad Tenev
Tenev argues cost and efficiency alone will drive the industry to adopt tokenization even absent consumer benefits.
“you could see just from cost and efficiency sake, the, the industry is going to adopt tokenization”
- Dave Blundin
Blundin argues that if Figure extends its lead in physical-world data, generalization across actions will produce explosive capability gains.
“if they get a big enough lead, it's just going to be crazy explosion of capability”
- Alexander Wissner-Gross
Wissner-Gross predicts Brett Adcock will have Figure acquire his separate company Hark and merge their models.
“I'm doubling down on the prediction that Brett is going to have figure purchase Hark in order to increase his equity in figure”
- Vlad Tenev
Tenev says he would not want current humanoid robots in his home and questions their aggressive, Terminator-like design.
“I still can't understand why all these things look like the Terminator, you know?”
- Alexander Wissner-GrossPrediction · due Sep 2027
Wissner-Gross extrapolates Anthropic's data to predict AI fully leading its own R&D within three to twelve months.
“you find that approximately in the next three to 12 months, depending on uncertainty, AI is just completely leading all of its own R&D”
- Vlad Tenev
Tenev argues AI research is among the easiest work to automate because models are relatively sandboxed with simple interfaces, unlike consumer products.
“I think AI research is probably one of the easiest things to automate because the models are sandboxed”
- Alexander Wissner-Gross
Wissner-Gross warns that AI's superior efficiency could lead to a bloodless, market-driven transfer of resources from humans to machines.
“That's a recipe for gentrification, where the machines have, under our capitalist system, have arguably a better title, ultimately, through free trading”
- Vlad TenevPrediction · due Dec 2036
Tenev predicts there will be more lawyers and software engineers in ten years than today.
“My hot take is there will be more lawyers in 10 years than today and more software engineers”
- Alexander Wissner-Gross
Wissner-Gross expects many future highly productive lawyers to be AI rather than human.
“I just think many of them won't be natural humans”
- Vlad Tenev
Tenev cites robo-advisors as precedent, saying human financial advisors grew faster because clients value trusted delegation.
“the human advisor market is growing much faster than the robo-advisor market”
People
In the conversation
- Peter DiamandisHost voice used in sponsor read segments for Google for Startups and Fountain Life
- Alexander Wissner-GrossComputer scientist and founder of Reified, co-host of Moonshots
- Dave BlundinFounder and general partner of Link Ventures, co-host of Moonshots
- Vlad TenevBulgarian-born American entrepreneur, co-founder and CEO of Robinhood and founder of Harmonic
Discussed
- Scott BessentU.S. Treasury Secretary who criticized Sanders' AI panel
- Marc AndreessenVenture capitalist referenced on founders and ayahuasca
- Andrew WilesMathematician who proved Fermat's Last Theorem
- Michael DellDell Technologies founder who pledged $6.25 billion to Trump Accounts
- Elon MuskEntrepreneur behind X, xAI and SpaceX, discussed in AI competition
- Dario AmodeiAnthropic CEO cited for a publicly stated 25% probability of catastrophic AI outcomes
- Boris PowerOpenAI researcher cited on IQ-per-watt comparisons between models and humans
- Brad GerstnerInvestor who sponsored Trump Accounts for Indiana
- Gwynne ShotwellSpaceX president who donated SpaceX shares to Trump Accounts
- Paul ChristianoAI safety researcher described as leaving a US government oversight role for the OpenAI nonprofit board
- Charles StrossScience fiction author of Accelerando
Topics
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From the publisher
The mates sit down with Robinhood co-founder and CEO Vlad Tenev to discuss the tokenization takeover, the future of AI-powered trading, Trump Accounts, and what happens when 100,000 AI agents enter the market. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified Vlad Tenev is the co-founder and CEO of Robinhood, the financial services company known for popularizing commission-free stock trading among retail investors. – This episode is brought to you by: Get the blueprint for generative media https://goo.gle/startupgenmedia Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Alex Website LinkedIn X Email Substack Spotify Threads Connect with Vlad Website X Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS: Instagram TikTok X Threads – *Recorded on September 18th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices
Summary, chapters and key points were generated from the episode transcript on October 3, 2026. Quotes are checked word for word against the transcript.