There is a way to gauge market direction without watching a single tick. Just observe who gets the megaphone. In bull markets, optimists dominate panels and covers. In downturns, like the recent weeks, bears emerge with folders full of warnings, many of which have aged three years.
Some arguments have quietly faded. The 'statistical parrot' critique and surveys claiming no one uses AI have been retired. In their place, a new narrative: Chinese innovation as a threat, often cited by the same voices urging their champions to cut spending.
Beneath the surface lies an older fear, repackaged each cycle: circularity. The loop diagrams, showing companies buying from and investing in each other, have meme appeal. They imply that profits are illusory, a wash trade. But no one has produced the forensic report to prove it.
Complexity, Not Conspiracy
The reality is that technology has shifted from an era of asset-light ideas to one of heavy, long-duration capital expenditure. For decades, companies like Facebook, Amazon, and Google built moats with software, not smelters. That era is over for most large firms. Now, they invest in suppliers, buy manufacturing capacity years ahead, and form joint ventures for chip plants.
This complexity is not deception. It reflects the physical nature of AI infrastructure. A chip seller also invests in optics suppliers; a buyer designs its own chips. These are multi-faceted relationships, not simple buyer-seller transactions. The diagrams oversimplify, making normal business look sinister.
The armchair critique that 'if it's too complex, don't do it' ignores the reality of global supply chains. Operators don't have that luxury. They must navigate this complexity to stay competitive.
As national security becomes market logic, the stakes rise. The recent AI-driven market turmoil in South Korea shows how quickly sentiment can shift. Investors would do better to focus on cash flow and project fundamentals than on tangled diagrams.
The diagrams are rhetorical devices, not arguments. They imply wrongdoing without evidence. If there were a real scandal, a Pulitzer would await. Instead, we get arrows and logos, evoking Enron without naming names.
What's missing is the nuance of long-term investment. Companies like TSMC in Taiwan or Samsung in Korea are building fabs that will take years to pay off. Their cash flow may dip, but their strategic position strengthens. This is ordinary in heavy industries, but new to tech investors, who often react with alarm.
The next time you see a loop diagram, ask what it leaves out. The answer is usually the complexity of real business. And that complexity is not a scandal; it's the price of building the future.
