The Real AI Boom Hasn't Yet Begun, RealClearMarkets Analysis Finds
Current investments in chips and data centers are merely the precursor to a larger shift toward 'intelligence on demand.'
The current surge in artificial intelligence is not the peak of the cycle, but rather a preliminary phase of a much larger economic transformation. According to an analysis published by RealClearMarkets, the industry is currently in a build-out stage that precedes the true boom of AI application.
The core thesis posits that the present trend—heavily focused on the production of high-end chips, the construction of massive data centers, and the development of foundation models—is a precursor to a more significant era. This next phase will be defined by "intelligence on demand," where the focus shifts from the infrastructure of AI to its widespread implementation and practical application across various sectors.
The Electricity Parallel
To provide context for this trajectory, the analysis compares the current state of AI to the early adoption of electricity. In the early industrial era, the initial phase was characterized by the installation of power grids and the creation of electrical infrastructure. However, the real economic transformation did not occur until after the power was readily available. It was only then that entrepreneurs and engineers discovered how to fundamentally redesign factories and business processes to utilize that power, leading to a massive leap in productivity.
Why the Shift Matters
This distinction is critical for understanding current market valuations and technological implementations. If the "real" boom has not yet begun, it suggests that the current excitement over hardware and large language models is only the foundation. The subsequent shift toward application means that the most significant economic and societal impacts will come from how businesses integrate this intelligence into their core operations, rather than the mere existence of the models themselves.
What to Watch
As the industry moves forward, the primary indicator of this transition will be the emergence of scalable, high-value applications that move beyond general-purpose chatbots. The market will likely shift its gaze from the providers of the "shovels"—the chipmakers and cloud providers—to the innovators who successfully deploy "intelligence on demand" to solve specific, complex industrial and commercial problems. This transition marks the move from building the engine to actually driving the economy forward, suggesting that the most lucrative opportunities lie not in the tools of creation, but in the mastery of execution.