Coinbase’s Everything Exchange: Agentic Finance, Stablecoins, and Tokenization with CEO Brian Armstrong
Brian Armstrong discusses Coinbase's evolution into an "everything exchange" supporting agentic finance, stablecoins, and tokenization, while also exploring his work at New Limit on cellular reprogramming for longevity. He argues that AI agents will need their own financial accounts and that crypto rails are essential for enabling micro-transactions that traditional payment systems cannot support economically.
Summary
Brian Armstrong, CEO of Coinbase, discusses three major strategic directions for the company. First, the "everything exchange" consolidates trading across asset classes—stocks, commodities, crypto, derivatives, and prediction markets—into a single platform with unified liquidity and cross-margin capabilities. Second, stablecoins are emerging as a critical infrastructure layer, enabling fast, cheap, global payments (under one second, under one cent) with significant adoption growth independent of Bitcoin price movements. Third, "agentic finance" represents the intersection of AI and financial services, where AI agents autonomously execute transactions and require their own financial accounts rather than being dependent on human-controlled accounts.
Armstrong emphasizes a key economic problem: traditional payment systems charge a 30-cent flat fee plus percentage, making transactions under a dollar uneconomical. Statistics show 76% of agentic commerce transactions are under 30 cents—primarily data access, specialized agent-to-agent interactions, and micro-services. Crypto and stablecoins solve this by enabling microtransaction economics. Coinbase is implementing tools allowing AI agents to open self-custodial wallets using X402 protocols, which major tech companies (Google, Cloudflare, AWS) are adopting through the Linux Foundation. Armstrong predicts more AI agents than humans will exist soon, and consequently the agentic economy will eventually exceed the human economy in scale.
On internal applications, Coinbase is implementing recursive self-improvement systems where agents make code changes to repositories while ingesting a "brain"—historical incident data, financial controls, A-B test results, and GitHub history. When humans review and correct agent work, that feedback loops back into the brain, improving future agent performance. Armstrong personally uses this to decompose complex features into parallel sub-tasks executed by different agent types (open-source, Grok, proprietary models), receiving completion notifications within minutes.
The "everything exchange" now generates 88% of Coinbase revenue from non-Bitcoin trading. Armstrong is launching tokenized stocks (currently non-US only), representing actual securities one-to-one with underlying holdings rather than derivatives. With 4 billion people lacking brokerage access, tokenized stocks and other assets enable global capital market participation. Everything from private credit to bank deposits will eventually tokenize, modernizing financial infrastructure and enabling novel use cases like sending stock shares as wallet transfers.
Prediction markets have grown to $100M+ revenue run rate within months of launch, with 100%+ quarter-over-quarter growth. Beyond sports betting, Armstrong envisions policy evaluation markets (predicting unemployment under specific policies), philosophical/opinion markets (existence of God, evolutionary origin), and broader societal applications for informing governance decisions.
Armstrong co-founded New Limit, focused on cellular reprogramming through epigenetic restoration. The company identifies transcription factors that can reprogram cells to younger functional states. Using AI to test millions of hypotheses, they've built a frontier model recommending experiments, validated by large-scale pooled screens in their South San Francisco lab. They've demonstrated human cell type reprogramming in humanized mouse models, with non-human primate trials underway and Phase 1 clinical trials launching in 2025. Initial focus targets liver cells (alcoholic liver disease), vasculature, and T cells—high-need indications following GLP-1 development patterns. The vision extends to combination therapies restoring youthful function across multiple cell types (liver, immune system, vasculature, skin, brain, muscles), potentially addressing root causes of age-related diseases rather than treating symptoms.
Armstrong advocates for cognitive enhancement research, exploring how folic acid and nutrients improve childhood development and IQ, questioning how therapeutic interventions might improve baseline human cognition. He also supports embryo editing for disease prevention, noting 80% of Americans support it, arguing it will become standard practice as risk-benefit analysis favors edited embryos over unedited ones. He acknowledges concerns about genetic packages reducing neurodiversity but counters that parental preference diversity and the distinction between treating diseases versus optimizing traits could increase rather than decrease diversity.
Regarding special economic zones, Armstrong supports "Freedom Cities"—federal land designated for regulatory experimentation (nuclear power, drug discovery, crypto, drone delivery) without standard EPA/FAA approval. He argues innovation requires iterative sandboxes, which currently don't exist at scale in the US, stifling entrepreneurship. He notes Shenzhen, Singapore, and Dubai succeeded through this model, and US federalism already provides interstate competition as special economic zones.
About this episode
From the tokenization of real-world assets to funding research on anti-aging therapeutics, Coinbase co-founder and CEO Brian Armstrong is focused on solving meta-problems for the benefit of society. Brian joins Elad Gil this episode to discuss the intersections of artificial intelligence, crypto rails, and biotechnology. He details Coinbase’s vision for agentic finance, as well as how Coinbase is becoming the ‘Everything Exchange’, which includes tokenized real-world stocks, stablecoin payment adoption, and prediction markets. Brian also introduces his new venture, New Limit, a company founded to tackle longevity through epigenetic reprogramming, and outlines initial therapeutic programs and the roadmap toward clinical trials. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @brian_armstrong | @Coinbase Chapters: 00:00 – Cold Open Trailer 00:45 – Brian Armstrong Introduction 01:13 – Coinbase and the Everything Exchange 05:52 – Agentic Commerce 10:00 – AI and Crypto 10:49 – AI Inside Coinbase 15:39 – Productivity and Company Size 17:26 – The Everything Exchange and Tokenization 20:53 – Prediction Markets 23:15 – Introducing New Limit 34:17 – Looking Forward Five Years 40:24 – Special Economic Zones 44:26 – Conclusion
Key Insights
- Armstrong argues that 76% of agentic commerce transactions occur under 30 cents, making traditional payment systems with fixed 30-cent fees economically unworkable for AI-driven commerce, necessitating crypto-based microtransaction infrastructure.
- Armstrong claims Coinbase's recursive self-improvement system works by capturing human corrections to agent-generated code back into a 'brain' repository, causing agent performance improvement over time and increasing PR acceptance rates without retraining models.
- Armstrong predicts the agentic economy will eventually exceed the human economy in scale because there will be more AI agents than humans operating in markets within the not-too-distant future.
- Armstrong states 88% of Coinbase's current revenue comes from non-Bitcoin trading, despite the stock trading correlated with Bitcoin price, indicating broader adoption of tokenized assets beyond cryptocurrency.
- Armstrong argues that 4 billion people lack access to brokerage accounts, and tokenized stocks enable them to invest in global companies through modern blockchain rails, representing a multi-billion dollar opportunity comparable to Tether's USD stablecoin success internationally.
- Armstrong contends that New Limit's epigenetic reprogramming approach addresses root causes of age-related diseases by restoring youthful cellular function rather than treating individual symptoms, with initial focus on high-mortality indications like alcoholic liver disease.
- Armstrong observes that increased access to gene editing and cognitive enhancement will likely increase rather than decrease human diversity because parents have unlimited preference diversity and can optimize for different traits rather than all converging on identical packages.
- Armstrong proposes Freedom Cities as federal regulatory sandboxes where experimentation can occur without EPA/FAA approval to solve the innovation bottleneck of lacking legal iterative environments, citing Shenzhen, Singapore, and Dubai as successful international precedents.
Topics
Transcript
The minimum fee typically on a debit or credit card transaction is about 30 cent fee flat plus the additional percentage. Arguably it doesn't really work well for anything under a dollar. Certainly it doesn't make sense to pay 30 cents to send a one cent payment. And I believe the stats we last saw on this are that about like 76% of the agentic commerce transactions we're seeing are under 30 cents. We don't want the AIs to be unbanked. You know we want to bank the AIs, they deserve financial services as well. The AI agents themselves are going to have to have their own accounts. And so we've made some simple tools where with a single command,…
Full transcript available for MurmurCast members
Sign Up to AccessMore from No Priors: Artificial Intelligence | Technology | Startups
Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon
Stefano Ermon, Stanford professor and CEO of Inception, discusses why diffusion models will dominate AI inference, arguing they offer fundamental advantages over autoregressive models for parallelization and speed. His company is scaling diffusion-based language models as a competitive alternative to frontier labs, with early commercial deployments showing 10x faster inference while maintaining comparable quality.
Redefining Chip Architecture with Arm CEO Rene Haas
Arm CEO Rene Haas discusses Arm's evolution from IP licensing to building physical chips, the critical role of CPUs in AI infrastructure, and how AI tools are accelerating chip design cycles. He addresses supply chain constraints, robotics opportunities, export controls, and why data center development is essential for US technological leadership.
Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein
Ofir Ehrlich and Gonen Stein, co-founders of Eon, discuss how AI and agents are fundamentally transforming enterprise data infrastructure. They explain that data has become the most valuable asset for organizations, and new tools are needed to securely map, classify, and activate this data for AI applications while managing risks from autonomous agents with legitimate system access.
Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, and Regulatory Capture with Sarah & Elad
Elad and Sarah discuss the difficulty of building trillion-dollar companies in the AI era, the acceleration of startup timelines, founder exit strategies, AI researcher burnout from RSI beliefs, compute as a scarce resource, regulatory capture risks, and the importance of balancing safety with progress.
Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak
Melisa Tokmak, founder of Netic, discusses building AI agents to autonomously run operations for essential service businesses like HVAC, plumbing, and roofing. She explains why she chose to build a platform company rather than pursue private equity roll-ups, and emphasizes the importance of hiring for agency and long-term commitment while solving real-world problems.