Coinbase CEO's Top 3 Crypto Trends for 2026 + More from Davos!
Episode Details
In a series of interviews from the World Economic Forum in Davos, host Jason Calacanis speaks with leaders shaping the future of technology and industry. Brian Armstrong, CEO of Coinbase, outlines the maturation of the Crypto industry, highlighting a stark contrast between the hostile approach of the Biden Administration and the supportive regulatory environment under the Donald J. Trump administration, which passed the Genius Act to provide clarity for Stablecoins. He notes growing institutional adoption through partnerships with firms like BlackRock and JP Morgan and identifies Cross-border payments, Prediction Markets, and Tokenization as key growth trends, while navigating relationships with different stablecoin issuers like Circle and Tether. Following him, Andrew Feldman, CEO of Cerebras Systems, discusses the exponential demand for AI Compute Power and the critical importance of low-latency AI Inference. He positions his company's Wafer Scale Engine (WSE) as a powerful alternative to Nvidia's GPUs, revealing a major new purchase order from OpenAI. Feldman frames the buildout of Data Centers and energy infrastructure as a central part of the geopolitical US vs China in AI race, praising the Trump Administration's pro-business AI policies. Finally, Jake Loosararian, CEO of Gecko Robotics, explains the crucial role of AI and Physical Robots in the industrial world. He argues that his Pittsburgh-based company is building the foundational Data Infrastructure for AI by inspecting critical assets in sectors like energy and Defense, working with companies like Palmer Luckey's Anduril. He sees a future where his company will be a major purchaser of Humanoid Robots like Tesla's Optimus (robot) for high-ROI industrial tasks. The conversations also touch on broader themes, including a palpable shift at Davos away from DEI towards business, concerns over the Rise of Socialism in the US in places like California, and optimistic yet realistic views on long-term AI Job Displacement.
Key Topics & People
Tech entrepreneur, used as an example of an elite founder.
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Host of the All-In Podcast and angel investor.
The physical processing power required to train AI models, proposed as a natural regulatory choke point.
Critical infrastructure for AI compute, increasingly viewed as national security assets requiring massive energy generation.
Tesla's humanoid robot, a bold bet made by a strong founder.
The state where both guests are campaigning, noted for its severe regulatory environment, high cost of living, and one-party political rule.
The current US administration that issued an executive order lifting the supersonic ban.
A city mentioned as a prime example of where blue-collar data center workers are earning lucrative salaries.
The fear and reality of AI replacing human labor, such as in radiology or coding.
The computational process of running live AI models to generate reasoning and answers
CEO and founder of Cerebras, a company pioneering AI inference chips
Stock exchange that hosted a dinner at the Liquidity conference.
The system of using crypto tokens to economically incentivize the building of physical decentralized networks.
Co-founder of Coinbase and co-founder of New Limit.
Former US President mentioned in relation to an interview at Davos.
A successful semiconductor startup that survived a long grind to eventually hit a massive IPO.
Exchange-traded markets allowing users to bet on the outcome of future events.
An annual meeting in Davos, which was discussed as having a more business-centric and Trump-focused atmosphere this year, featuring notable speeches and events.
A political trend discussed with Jeremy Allaire, who connects it to the potential for massive economic disruption and wealth inequality caused by AI.
A piece of legislation that provides regulatory clarity for stablecoins in the United States, defining them as a payment instrument and setting rules for issuers like Circle.
A type of cryptocurrency whose value is pegged to another asset class, like a fiat currency or gold, to maintain a stable price. Discussed as a key infrastructure layer for money on the internet.
A historical period of major industrialization that Jake Loosararian uses as an analogy for the current era, where robotics and data collection are the foundational 'steel' for the AI revolution.
The foundational data sets required to train and deploy effective AI models, especially in industrial contexts where such data does not exist online and must be collected by physical means, such as robots.
The integration of artificial intelligence with robotics to perform tasks in the physical world, particularly in industrial settings for inspection, maintenance, and manufacturing.
The geopolitical and industrial competition between the United States and China for dominance in artificial intelligence technology, including chip manufacturing, model development, and energy infrastructure.
A category of extremely large AI chips developed by Cerebras Systems, containing trillions of transistors, designed to process information much faster than traditional GPUs for AI tasks.
General-purpose robots with a human-like form, such as Tesla's Optimus. Gecko Robotics' CEO sees his company as a future major purchaser of these robots for high-ROI industrial tasks.
A company specializing in AI-powered robots that inspect physical infrastructure like ships and power plants, creating essential data sets for industrial AI models.
CEO and co-founder of Gecko Robotics, a company building purpose-built robots for inspecting and maintaining critical infrastructure in industries like energy and defense.
The administration of the 47th US President, which Andrew Feldman praised for its AI policy, particularly in empowering allies and streamlining regulations.
International B2B payments, which have been the biggest growth area for stablecoins over the last year due to reduced friction and lower fees compared to traditional banking.