The assumption that AI will create trillions in corporate profit overlooks a key economic reality: only 1% of global GDP is profit above the cost of capital. Intense competition in AI will likely drive prices down, meaning the vast majority of economic benefits will be passed to consumers, not captured by a few monopolistic companies.

Applying Schumpeterian economics, Andreessen argues that like previous transformative technologies, nearly all of AI's economic value will accrue to its users, not its creators. This "consumer surplus"—the productivity and life improvements for billions of people—will dwarf the profits of companies like OpenAI or Google.

A common mistake is assuming what's good for the economy is good for the stock market. AI could massively increase productivity, but competition could pass all gains to consumers via lower prices. It could also enable new companies to destroy incumbents, making the net effect on today's stock market uncertain.

During major platform shifts like AI, it's tempting to project that companies will capture all the value they create. However, competitive forces ensure the vast majority of productivity gains (the "surplus") flows to end-users, not the technology creators.

Productivity models often wrongly assume time saved by AI is redeployed into other work. In reality, many employees use efficiency gains to finish early. This 'human slack' factor dampens macro-level productivity gains, except in highly driven fields like tech, where workers use it to work even more.

If AI makes intelligence cheap and universally available, its economic value may collapse. This theory suggests that selling raw AI models could become a low-margin, utility-like business. Profitability will depend on building moats through specialized applications or regulatory capture, not on selling base intelligence.

Unlike cable or power companies that benefit from regional monopolies, AI intelligence is a globally competitive, frictionless market. This dynamic is 'so much worse' for business because it allows for perfect arbitrage, driving the price of intelligence toward zero and making it incredibly difficult to build a sustainable, high-margin business on the infrastructure layer.

AI technology is broadly available, meaning any efficiency gains will quickly be competed away, becoming a consumer surplus. For businesses, adopting AI isn't about gaining a lasting edge; it's a necessary step to stay in the game. The real strategy lies in anticipating the second-order effects once everyone has it.

Marks questions whether companies will use AI-driven cost savings to boost profit margins or if competition will force them into price wars. If the latter occurs, the primary beneficiaries of AI's efficiency will be customers, not shareholders, limiting the technology's impact on corporate profitability.