U.S. technology stocks are once again dominating Wall Street after another powerful earnings season, but this time analysts believe the sector may actually be cheaper than many investors realize.

After years of explosive gains driven by artificial intelligence enthusiasm, concerns about an overheated “tech bubble” had become widespread across financial markets. Mega-cap companies including Nvidia, Microsoft, Apple, Amazon, Alphabet, Meta, and Tesla — often grouped together as the “Magnificent Seven” — saw their market values surge to historic highs throughout 2024 and 2025 as investors poured money into anything connected to AI infrastructure and computing.

However, analysts now argue that the narrative is beginning to shift. Instead of relying purely on hype and future expectations, many tech giants are now delivering the earnings growth needed to justify their elevated stock prices.

According to new research from Morningstar, the artificial intelligence investment theme is currently trading at its deepest discount relative to fair value since 2019, potentially creating one of the most attractive buying opportunities in years.

Tech Stocks Are Growing Into Their Valuations

At the height of the AI rally in late 2025, valuations across the technology sector reached extreme levels. The forward price-to-earnings ratio for the S&P 500 Information Technology sector climbed above 30 times projected earnings, according to FactSet data.

That level sparked fears that investor optimism had moved too far ahead of actual business performance.

But instead of valuations collapsing through falling stock prices, many technology companies managed to justify their premium valuations by rapidly increasing profits and revenue. Massive demand for AI-related services, cloud computing, semiconductor chips, and enterprise software has significantly boosted earnings across the sector.

As profits expanded, valuation multiples naturally became more reasonable because the earnings portion of the price-to-earnings equation increased sharply.

Morningstar’s internal price-to-fair-value model now suggests many AI-related companies are trading below what analysts consider their long-term intrinsic value.

Michael Field, Morningstar’s chief equity strategist, described the current environment as a “fantastic entry point” for long-term investors.

According to Field, the underlying fundamentals behind artificial intelligence remain exceptionally strong, particularly in areas such as semiconductor demand, data center expansion, AI infrastructure, and cloud computing capacity.

AI Spending Boom Continues to Accelerate

One of the clearest signals supporting the bullish outlook is the extraordinary level of capital spending happening across the technology industry.

The world’s largest technology companies dramatically increased their investment plans during the latest earnings season. Combined capital expenditures among the Magnificent Seven are now projected to reach approximately $725 billion in 2026, up sharply from earlier expectations near $670 billion, according to estimates from Saxo Bank.

Much of this spending is flowing into AI-focused infrastructure, including advanced semiconductors, massive data centers, networking equipment, and high-performance computing systems needed to train and operate increasingly complex AI models.

Nvidia continues to be one of the biggest beneficiaries of this trend, with demand for AI chips still exceeding supply in many areas of the market. Meanwhile, companies such as Microsoft, Amazon, Alphabet, and Meta are competing aggressively to build the next generation of AI-powered platforms and cloud services.

Industry analysts say the current AI race resembles previous technological revolutions such as the rise of the internet or smartphones, but on an even larger scale due to AI’s ability to reshape nearly every industry.

Investors Debate Whether Growth Can Last

Despite the optimism, not everyone is convinced the current pace of spending and profit growth can continue indefinitely.

Some analysts question whether hyperscalers — massive cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud — can maintain record-breaking capital expenditures year after year without eventually facing pressure on margins and returns.

Dan Kemp, founder of investment consultancy Portfolio Thinking, said markets are entering a phase where investors increasingly assume today’s extraordinary growth rates will continue far into the future.

Historically, however, periods of extremely high profitability tend to attract competition, which eventually reduces returns across the sector.

The debate now centers on whether artificial intelligence represents a truly transformational “secular” growth trend that can continue expanding regardless of broader economic cycles, or whether the industry may eventually experience slower adoption and declining profitability.

For now, earnings growth continues to support the bullish case, but analysts are watching closely for signs of moderation.

Physical Constraints Could Become the Next Big Challenge

Some experts believe the greatest risk to AI growth may not come from economic slowdowns or weakening demand, but from physical limitations tied to computing capacity and infrastructure.

Sophie Huynh, portfolio manager at BNP Paribas Asset Management, warned that the pace of AI adoption may become uneven because of shortages in processing power and token availability.

Tokens are the computational units consumed when AI models process requests, generate outputs, or complete tasks. As AI usage expands globally, demand for tokens and computing resources has surged dramatically.

Several major AI companies have already begun rationing access or limiting usage in certain areas because supply is struggling to keep pace with demand.

At the same time, shortages involving advanced chips, energy supply, cooling systems, and data center construction could create bottlenecks that slow future expansion.

This means the next stage of the AI race may depend just as much on infrastructure development as on software innovation itself.

Tech Has Become Wall Street’s Default Investment Theme

Technology’s dominance in modern markets has grown so extensive that many strategists now describe the sector as the foundation of nearly every major investment trend.

According to J.P. Morgan Private Bank, tech is increasingly viewed as both a growth trade and a defensive trade at the same time — something rarely seen in previous market cycles.

When investors seek exposure to AI, they buy tech stocks. When they want companies with strong balance sheets and large cash reserves, they buy tech. When investors look for earnings growth, sustainability, innovation, or long-term capital expenditure themes, technology companies often remain the primary destination for capital.

Kriti Gupta, global investment strategist at J.P. Morgan Private Bank, noted that technology has effectively become “the answer to everything and everyone” in today’s market environment.

That broad investor dependence on tech explains why the sector continues attracting enormous inflows even during periods of volatility, inflation concerns, or geopolitical uncertainty.

Why Analysts Still See Opportunity Ahead

Although tech valuations remain elevated compared to many traditional sectors, analysts increasingly believe the earnings power of AI-driven companies may justify those premiums over the long term.

The combination of falling valuation multiples, accelerating profits, expanding infrastructure spending, and sustained global AI adoption has strengthened confidence across much of Wall Street.

At the same time, volatility earlier in 2026 pushed several major AI-related stocks well below their record highs, creating what many strategists now view as more attractive entry levels for investors willing to take a long-term approach.

While risks surrounding competition, infrastructure limits, regulation, and economic conditions remain significant, many analysts argue that artificial intelligence is still in the early stages of a multiyear transformation that could reshape industries worldwide.

For investors, the biggest question is no longer whether AI will influence the global economy — but whether current technology leaders can maintain their dominance as the race accelerates even further.