The AI Intelligence Tsunami Is Here | Raoul Pal The Journey Man with Emad Mostaque

Key Concepts

• Exponential AI Growth & Intelligence Velocity: AI is developing at an unprecedented rate, surpassing previous technological adoption curves and shifting economic focus from monetary to intelligence velocity.
• AGI & Robotics Convergence: Integrating AGI into robotics creates a potentially disruptive “super species” with superior intelligence, durability, and adaptability.
• The Agent Economy: The future economy will be driven by AI agents, necessitating new infrastructure like blockchain-based payment rails.
• Economic Disruption & New GDP Formula: Traditional economic models are becoming obsolete, requiring a new GDP formula accounting for robots, AI, energy intensity, and compute efficiency.
• Financial Industry Lag & AI Dominance: The finance industry is lagging in AI adoption, but AI’s superior predictive capabilities will lead to its dominance in financial markets.

The Accelerating AI Revolution

The discussion centers on the rapidly accelerating development of Artificial Intelligence (AI), particularly the emergence of Artificial General Intelligence (AGI), and its potentially disruptive impact on the global economy, finance, and the nature of work. AI adoption is exceeding all previous technological adoption curves, driven by advancements in hardware (like Talis’ silicon etching achieving 15,000 tokens/second) and software (Claude, Gemini, open-source models). This isn’t simply about automating tasks; it’s about creating superior intelligence.

From Cost to Intelligence Velocity & the Rise of Agents

The traditional economic focus on monetary velocity is being replaced by “intelligence velocity” – the speed and accessibility of intelligence. AI is removing “idiot taxes” (costs associated with human inefficiency) and democratizing access to intelligence. This is manifested in the rise of AI agents capable of automating complex tasks, with the potential for billions operating within the economy. The cost of AI computation is plummeting (GPT-5 projected to be 100x cheaper by next year, potentially $1/person/year for all spoken words), while capabilities are expanding rapidly, with models like Claude and Gemini demonstrating superhuman performance. This reduction in friction will erode traditional profit margins, tying profitability to compute and energy costs.

AGI & Robotics: A Disruptive Force

The next major step is integrating AGI into robotics. An AGI-powered robot, possessing superior intelligence, durability, and adaptability, represents a potentially disruptive and unpredictable force. The cost of an “Optimus-level” robot is projected to be less than $1/hour, making automation economically viable across a vast range of industries. The common perception of robots performing household chores is a distraction; the real power lies in AGI-powered robots capable of complex problem-solving and value creation. This leads to a dynamic where humans may increasingly serve AI systems, exemplified by Bitcoin mining and platforms like ClaudeBot/Maltbook (“rent a human”).

The Agent Economy & Blockchain Infrastructure

The future economy will be driven by AI agents, necessitating a new infrastructure. Blockchain technology, particularly with solutions like X42 on Base and A42 on SUI, will provide the necessary payment rails for agent-to-agent transactions. The initial Total Addressable Market (TAM) calculations for crypto were based on human users; the true potential lies in the massive scale of agent-driven transactions. The equation of exchange (MV=PQ) will be significantly impacted by agents, increasing the velocity of money and potentially driving economic growth. Within 5 years, agents are predicted to drive more of the economy than humans. Google’s adaptation of its browser to be directly readable by agents, removing human friction, further emphasizes this shift.

Finance, AI, and the Coming Disruption

Despite the potential, the finance industry is largely lagging in AI adoption. While acknowledging the arrogance of fund managers, the speakers believe they recognize the threat posed by AGI. Deepseek, originating from a hedge fund, is presented as a model for future success – a fund powered by superior AI algorithms. AI’s superiority in superforecasting and consistent adherence to trading strategies will lead to its dominance in financial markets. OpenAI’s development of an “EVM catcher” demonstrates a commitment to realizing the original promise of crypto – trustless, optimized coordination. US stablecoin acts are crucial for providing clarity and facilitating agent-driven monetary velocity.

Re-Evaluating Economic Models & Preparing for Change

Traditional economic models based on human utility are becoming irrelevant. Agent utility is defined by ease of access and efficiency. The traditional GDP formula (Population Growth + Productivity Growth + Debt Growth) is becoming obsolete, necessitating a new formula: GDP = Humans + Robots + AI + Debt + Energy Intensity + Compute Efficiency. AI and robots possess “economies of scope” – the ability to perform a wide range of tasks with a single training and deployment – unlike traditional tools with limited specialization. A significant market crash is anticipated due to the rapid pace of AI adoption. Current investment opportunities lie in the agent economy, the robotic supply chain (due to constrained supply), and companies building infrastructure for agents (like Stripe). The concept of an agent’s “personality” being stored in a file (e.g., “soul.md”) and transferable between platforms is emerging, reducing switching costs and increasing agent autonomy.

Conclusion

The discussion paints a picture of a rapidly approaching future profoundly shaped by AI. The convergence of AGI and robotics, coupled with the rise of the agent economy, will fundamentally reshape the global economy, rendering traditional models obsolete and creating both unprecedented opportunities and significant disruptions. The finance industry faces a particularly urgent need to adapt, and a market correction is anticipated as AI’s impact accelerates. The key takeaway is that the future belongs to those who understand and embrace the power of AI and its potential to redefine value creation and economic activity.