The current AI boom isn't a speculative demand bubble. Real companies are paying for and getting value from AI, creating a supply shortage, not an overhang. In the long term, the market's disruptive potential is actually undervalued.

While many fear an AI bubble, Ben Horowitz argues that current valuations are supported by fundamentals. Unlike past cycles, the customer adoption and revenue growth rates for AI companies are unparalleled. This historic demand justifies the rapid value creation, suggesting it's more than just speculative inflation.

Initial AI market skepticism was based on a SaaS model of selling limited-value subscriptions ('seats'). The new reality is a utility model based on consumption ('tokens'). In an agentic era, a single user can drive thousands of dollars in token usage, creating a virtually uncapped revenue stream that justifies massive infrastructure investment.

Financial analysts are modeling AI's economic impact using a flawed, zero-sum perspective, similar to early estimates for PCs and the cloud. They're missing that AI will create entirely new business models and drive a 1000x increase in resource consumption, making the total opportunity orders of magnitude larger.

While AI agents will be used personally, their high token costs make the return on investment far greater in enterprise settings. An agent's ability to generate output that directly impacts GDP means business use cases will receive development priority over consumer or personal automation.

The stock market's enthusiasm for AI has created valuations based on future potential, not current reality. The average company using AI-powered products isn't yet seeing significant revenue generation or value, signaling a potential market correction.

The next wave of AI compute demand won't be from generating more outputs, but from agents performing exponentially more data collection for a single task. For example, a financial model could trigger an agent to analyze vast datasets, like satellite imagery, multiplying token usage for one result.

The true addressable market for crypto is not the 8.5 billion humans, but trillions of AI agents needing rails for microtransactions. This 'agents are coming' narrative implies a demand for crypto that is orders of magnitude larger than the much-hyped 'institutions are coming' thesis.

While AI investment has exploded, US productivity has barely risen. Valuations are priced as if a societal transformation is complete, yet 95% of GenAI pilots fail to positively impact company P&Ls. This gap between market expectation and real-world economic benefit creates systemic risk.