AI is Industrial Revolution-Level Shift: Former Wall Street Executive on Token Factories and Macro Risks

Herman Jin, a former Wall Street executive director in Fixed Income, Currencies, and Commodities (FICC), recently shared his views on AI and its impact on investing. In an interview with Binance Square's Inside The Blockchain 100, Jin highlighted the importance of understanding how computing power converts into productivity, rather than chasing individual stocks or short-term entry points.

Jin emphasized that institutional investors have a structural advantage due to their access to order flow and positioning direction, rather than privileged information. He noted that market makers provide liquidity, not market manipulation, and that information on market positioning can be more important than news events.

In the context of AI, Jin argued that it is an industrial revolution-level shift, similar to the internet revolution, but with a key difference: AI directly improves productivity. He believes that long-term economic growth depends on population growth and productivity improvement, and that AI may genuinely enhance efficiency at scale.

Jin introduced the concept of the 'Token Factory' framework for understanding the AI supply chain, where computing centers produce tokens that can write code, create presentations, conduct research, and generate content. He emphasized the importance of hardware iterations in token production capacity and cost curves, making them equivalent to factory equipment upgrades.

When discussing macro risks, Jin flagged the Bank of Japan, the yen, and the USD/JPY carry trade as significant structural threats to risk assets globally. He noted that a rapid yen appreciation or BOJ intervention could trigger a carry trade unwind, creating short-term shocks across risk assets, including crypto.

Jin advised retail investors to focus on the roadmaps of major players, such as Nvidia and Google TPU, which reflect the real direction of the industry. He also emphasized the importance of understanding CAPEX (capital expenditure) and ROI (return on investment) simultaneously, particularly in the context of cloud providers.

Finally, Jin made a contrarian statement for retail investors: stop trading, start holding. He believes that manual trading cannot generate sustainable alpha against high-frequency competition, but long-term trend identification and patience can provide a structural advantage over institutions.