Is AI the Ultimate Boom-and-Bust Bubble?

Introduction

As the AI revolution unfolds, discussions surrounding its sustainability have escalated. Some analysts suggest we're approaching a 'bubble' akin to previous tech fiascos, notably the dot-com crash. I reached out to scholars who delve into this phenomenon, mainly Brent Goldfarb and David A. Kirsch, to unpack how their methodologies apply to this ongoing AI frenzy.

AI: The Making of a Bubble

Since ChatGPT's meteoric rise in late 2022, an air of speculation has enveloped the AI sector. Headlines proclaiming an impending bubble are common, with doubts about investments in technology surging. As reported by CNBC and highlighted in other outlets, this perception has solidified into what many are calling the AI bubble.

But what precisely defines this bubble? While narratives around investment surge are captivating, they often lack a sober analysis of its underlying structure. How much of the fervor is genuine promise, and how much is blind speculation?

Assessing the AI Landscape

In their book Bubbles and Crashes: The Boom and Bust of Technological Innovation, Goldfarb and Kirsch outline patterns that help predict market bubbles—considering factors such as uncertainty, interest in 'pure plays,' novice investors, and narratives framing commercial innovations.

Uncertainty

Uncertainty is the cornerstone of tech bubbles. As Goldfarb notes, with innovations like electric lighting, the utility was crystal clear from the start. For AI, however, the roadmap remains foggy. Major players like Sam Altman have made ambitious claims, enveloping the industry in uncertainty. What's largely debated is how AI's promises will shape actual business models.

Pure Plays

A 'pure play' investment relies solely on an innovation succeeding, which amplifies risk and reinforces speculation. Looking at AI firms today, we see that substantial investment is directed towards companies like Nvidia, signaling a race toward dominance. As of late 2025, AI startups have accounted for a significant portion of venture capital funding—yet many remain unproven. If these firms don't deliver tangible results, we could face a reckoning.

Novice Investors in the Mix

We're witnessing an influx of novice investors entering the AI market, often unaware of the pitfalls. Just as in previous bubbles, a rush to invest without understanding the complexities can lead to catastrophic financial outcomes. Platforms like Robinhood have democratized access, allowing anyone to tap into the allure of AI investments.

The Narrative Around AI

Narratives often shape market trajectories. The tech industry's prevailing narrative posits that AI, particularly in the form of AGI (Artificial General Intelligence), will revolutionize existence. This narrative fosters an environment ripe for speculation—much like the aviation and radio booms of history.

I ask, what is this narrative, and does it reflect reality? Goldfarb articulates an essential question: If we overestimate AI's potential, are we bound for a steep decline when the reality of its limitations hits?

Conclusion: Buyer Beware

The impending queries remain: Will the AI bubble pop? When and how? Evaluating these variables using Goldfarb and Kirsch's framework suggests we heed caution. The ingredients for a bubble are in play, raising the stakes for both novice and seasoned investors.

It is crucial, therefore, to navigate this landscape informed and prepared, armed with a comprehensive understanding of the forces at work—lest we repeat the mistakes of the past.