The Economist Making Waves
The man raising this critical question is Torsten Slok, the Chief Economist at Apollo Global Management, a major global investment firm. It’s his job to look past market narratives and analyze the hard economic data. When Slok speaks, investors listen,
because his analysis helps shape how one of the world's largest asset managers views the economy. His recent assessment of AI's real-world impact has provided a sobering counterpoint to the relentless optimism surrounding the technology, sparking an important debate about the difference between stock market excitement and tangible economic growth.
The Core of the Claim
Slok’s main argument is that despite the explosion in AI-related stock prices, there is little to no evidence of a corresponding boom in productivity across the broader economy. He frequently points to macroeconomic data, such as national productivity stats, which have remained stubbornly flat. In simple terms, while everyone is talking about AI changing the world, it hasn't yet shown up in the numbers that matter most for economic health. According to Slok, the productivity miracle promised by AI advocates remains, for now, a theoretical benefit rather than a widespread reality.
The 'Picks and Shovels' Analogy
To explain this disconnect, Slok uses a simple analogy from the gold rush era. He argues that the main beneficiaries of the AI boom so far are the companies selling the 'picks and shovels' — the essential tools needed to mine for AI gold. This includes firms that design high-end microchips, build data centers, and provide cloud computing services. These companies are incredibly profitable. However, the thousands of other businesses buying these tools to implement AI in their own operations are not yet seeing a clear return on their massive investments. The profits are concentrated in the hands of a few AI enablers, not the much wider pool of AI users.
Is It a Stock Market Bubble?
This concentration of profit carries risks. Slok has warned that the situation resembles a bubble, where the stock valuations of a handful of tech giants have become detached from the underlying economic fundamentals. The market is pricing in massive, economy-wide productivity gains that simply haven't materialized yet. If these gains fail to appear, or take much longer than expected, the sky-high valuations could face a painful correction. This argument doesn't deny AI's long-term potential but cautions that investor expectations may have gotten far ahead of the real-world deployment and profitability cycle.
The Counterargument: It's Just Too Early
Of course, not everyone agrees with this bearish take. The most common counterargument is that it is simply too early to see the effects of a foundational technology like AI. History shows that it can take years, or even decades, for businesses to fully restructure their operations to leverage innovations like electricity or the internet. Proponents of this view argue that companies are currently in a costly investment and experimentation phase. The productivity boom, they insist, is not a matter of 'if' but 'when'. They believe that once this initial adoption period is over, the efficiency and growth benefits will become obvious in the economic data.
