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
Crucial infrastructure for AI compute that is facing massive pushback.
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An angel investor steering discourse around tech platform decay, advising founders against taking venture debt that restricts future agility.
The state facing economic, housing, and regulatory challenges.
The processing capacity required to train and run large AI models, currently considered a severe bottleneck.
A successful semiconductor startup that survived a long grind to eventually hit a massive IPO.
Humanoid robot developed by Tesla, cited as an example of AI disrupting blue-collar warehousing jobs.
The debate over whether AI will cause widespread unemployment or simply shift labor patterns.
Co-founder of New Limit, working alongside Blake Byers.
The monetization of AI investment via processing inputs and running models.
Exchange-traded markets allowing users to bet on the outcome of future events.
The process of digitizing traditional securities onto a blockchain.
The current executive branch of the US government under Joe Biden, criticized for targeting political opponents and weaponizing the DOJ.
Tech entrepreneur and founder in the defense space, highly praised for building innovative weapons systems to keep the US competitive.
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 city with a rich industrial history where Gecko Robotics is based, influencing the company's focus on real-world, high-ROI problems in sectors like manufacturing and energy.
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.
The 47th US President, credited by Brian Armstrong for creating a legal path for crypto and making the United States the 'crypto capital of the world'.
A major stock exchange mentioned as the sponsor of the podcast episode.
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.
CEO of Cerebras Systems, a company building large, wafer-scale AI chips designed to accelerate AI training and inference.
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.