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The previous generation of tech—mobile, social, SaaS, and cloud—created a combined $25 trillion in market cap. The current convergence of AI, autonomy, robotics, bio, and defense tech represents an even larger, more foundational economic shift that will generate significantly more value.

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Today's capital concentration in AI giants is not a new phenomenon; it echoes the rise of Uber and Airbnb. Carter Rehm argues the fundamental dynamic is the same, but the outcomes are now bigger (trillion-dollar companies vs. hundred-billion) and happen much faster, like going from an Indy 500 to an F1 race.

Historical tech cycles like the cloud and mobile demonstrate a consistent pattern: the application layer ultimately generates 5 to 10 times the value of the underlying infrastructure capital expenditure. With trillions being invested in AI infrastructure, future value creation at the application layer will be astronomically larger.

The memory market is projected to see unprecedented growth, with 2026 revenues expected to increase by roughly $600 billion in a single year. This incremental growth alone is larger than the entire annual market for smartphones, PCs, or servers, highlighting the massive economic shift driven by AI infrastructure.

Hoffman states the current AI acceleration is the most impactful tech cycle yet because it leverages the internet, cloud, massive data, and compute power that preceded it. He believes its societal impact will be greater than any previous technological shift.

The current wave of AI companies is growing at unprecedented rates, far outpacing the growth curves of the mobile, social, or SaaS eras. They are becoming larger and more consequential much faster, a phenomenon described as "speed running the process of company growth."

Tech's portion of US GDP has tripled from 4% to 12% since 2005 and is projected to continue growing. This underlying economic shift, accelerated by AI converting services to software, indicates that tech's total market cap has significant room for expansion, supporting more trillion-dollar companies.

Veteran VC Glenn Solomon notes that major value creation occurs during paradigm shifts (client-server, internet, mobile). He initially believed the cloud was the ultimate shift but now sees AI as a significantly larger, more impactful opportunity for venture investment.

Consumer innovation arrives in predictable waves after major technological shifts. The browser created Amazon and eBay; mobile created Uber and Instagram. The current AI platform shift is creating the same conditions for a new, massive wave of consumer technology companies.

Veteran VC Navin Chaddha argues that AI's impact is an order of magnitude greater than previous tech waves. This is because AI's conversational interfaces democratize creation for billions, while its ability to reason and act provides a second 10x force multiplier, resulting in a 100x total opportunity.

Unlike past software waves with zero marginal costs, the AI revolution is built on a physical supply chain: from minerals to chips to data centers. This industrial nature means it involves capital markets "all the way down," making it a more fundamental economic shift akin to railroads, not just a software trend.

The Next Tech Supercycle Will Dwarf the $25T Mobile and Cloud Wave | RiffOn