Is The AI Boom The Next Tech Bubble Or The Start Of A New Era?
By: Jack Strulowitz
Artificial intelligence has become the defining theme of today’s markets. From chipmakers reaching multi-trillion-dollar valuations to phrases like “AI-driven” dominating earnings calls, investors are asking whether this is a lasting transformation or a rally ready to reverse. AI’s impact on the world economy is inevitable, but is the market getting ahead of itself?
A financial bubble forms when enthusiasm pushes stock prices far ahead of what business fundamentals justify. When valuations stretch this far, prices start to reflect enthusiasm and narrative more than a company’s actual earnings or profits. A quick glance at the history books shows that this story has played out many times before.
In 17th-century Holland, tulip bulbs became a national obsession. What began as a fascination with rare flowers turned into a full-blown market craze as bulbs were bought and sold on paper for ever-rising prices. At the height of the frenzy, a single prized tulip bulb could cost more than a wealthy merchant’s estate or ten times a craftsman’s annual wage. Taverns turned into makeshift exchanges where people from all walks of life traded and speculated, convinced they’d found a shortcut to wealth. When buyers finally stopped showing up, prices collapsed overnight. The tulips themselves hadn’t changed, but their value had plummeted.
In the late 1990s, every company wanted to be an “internet company.” Many added “dot com” to their names just to ride the wave. During this surge, the NASDAQ rose nearly 400 percent between 1995 and its peak in March of 2000, then fell about 78 percent by October 2002 (CFI). Today, a similar phenomenon has emerged. Many businesses now call themselves “AI-driven,” even if their use of the technology doesn’t go beyond simple, accessible tools like ChatGPT.
Valuations tell part of the story. Some of the biggest beneficiaries of the AI-boom trade at forward earnings multiples more than double the S&P 500’s historical average (FactSet). While investors can debate whether these companies deserve such premiums, the broader market clearly assumes near-flawless execution and universal adoption. More than 210 S&P 500 companies mentioned “AI” on their most recent earnings calls, well above the five-year average of 114, according to FactSet. In most rallies, prices reflected not only performance, but also the excitement surrounding it. The same pattern appears in downturns, when fear pushes prices below what fundamentals alone would justify.
Not everything about today’s enthusiasm fits the pattern of a bubble. Unlike the dot-com era, the leading companies behind the AI surge are profitable, cash-rich, and generating enormous revenues from real products. NVIDIA, the leading producer of graphics processors and AI-computing chips, reported $46.7 billion in quarterly revenue, up nearly 70 percent from the same period last year, showing that much of the AI-driven demand is tied to real economic activity rather than speculation.
The infrastructure build-out surrounding AI also appears substantial. Goldman Sachs estimates that generative AI could raise global GDP by roughly seven percent over the next decade and boost labor productivity by about 1.5 percentage points. That forecast might be optimistic, but it underscores the potential magnitude of the shift. McKinsey & Company projects that by 2030, global spending to expand the data centers capable of handling AI workloads could reach $6.7 trillion, with about $5.2 trillion of that devoted specifically to AI infrastructure.
There is also the possibility that markets are correctly pricing in a coming leap in efficiency. AI is already improving software development, automating repetitive tasks, and accelerating research. Many of the world’s most valuable firms are embedding it into products used daily by billions of people. Investors may not be irrational for assigning premium valuations to companies that are shaping what could be the next general-purpose technology, one as transformative as electricity or the internet.
The truth is we rarely know when we’re in a bubble until after it bursts. Markets are forward-looking; they trade on expectations about the future rather than the conditions of the present. Every boom carries some exaggeration of optimism, just as every crash carries an exaggeration of fear. The internet mania of the 1990s wiped out thousands of companies, yet it also laid the foundation for the modern digital economy. Those who sold too early missed the eventual winners that reshaped the world.
Today’s AI rally contains elements of both: the unmistakable signs of excitement and overreach, and the unmistakable signs of genuine transformation. Some companies are riding a narrative they barely participate in, while others are rewriting what’s technologically possible. Whether this era ends up as a bubble or a building block depends less on valuations in 2025 and more on how deeply these innovations integrate into real productivity over the next decade.
What we can say for certain is that markets always cycle between optimism and correction. Every major advance brings waves of exuberance, and every downturn brings waves of despair. The challenge for investors is not to predict the peak or the crash but to recognize that both extremes distort prices. Markets are influenced as much by behavior and emotion as by data and analysis.
Diversification turns this uncertainty into balance. A well-balanced and diversified portfolio lets investors take part in new growth opportunities without taking on too much exposure to any single trend. Whether AI lives up to its biggest expectations or cools off from today’s enthusiasm, diversification helps reduce the risk that comes from either extreme.
Every generation faces its own moment of technological awe: railroads, electricity, the internet, and now artificial intelligence. What has changed is the pace. Each wave seems to arrive faster than the one before. The breakthroughs are real, but so are the emotions surrounding them. The line between innovation and speculation has rarely been thinner, and only time will tell whether this is a bubble, a transformation, or a bit of both.
Jack Strulowitz is a Financial Advisor at Bernath & Rosenberg in Cedarhurst, NY, where he helps high–net worth individuals and families manage their investments and build comprehensive strategies for retirement, tax, and estate planning. For questions or to schedule a consultation, please contact [email protected] or 847-962-3352.
The opinions voiced in this material are for general information only and are not intended to provide specific advice or recommendations for any individual. All performance referenced is historical and is no guarantee of future results. All indices are unmanaged and may not be invested into directly. Investing involves risk including loss of principal. No strategy assures success or protects against loss. There is no guarantee that a diversified portfolio will enhance overall returns or outperform a non-diversified portfolio. Diversification does not protect against market risk.
The economic forecasts set forth in this material may not develop as predicted and there can be no guarantee that strategies promoted will be successful. Securities and advisory services offered through LPL Financial, a Registered Investment Advisor. Member FINRA/SIPC.
