Markets Are Not Pricing a Bubble. They Are Pricing an Earnings Revolution.

by NS Partners Sep 4 2026
Markets are not pricing a bubble but an earnings revolution driven by strong corporate profit growth and AI-related investment.

Record highs may look uncomfortable, but the earnings revolution currently underway tells a very different story. The more important question is whether today’s extraordinary earnings growth can last.

Wall Street’s relentless march to new highs has reignited a familiar debate. Investors, policymakers and commentators increasingly question whether equity markets have become detached from reality. A handful of mega-cap technology companies now account for a growing share of market returns, while enthusiasm surrounding artificial intelligence continues to dominate headlines. To many observers, the ingredients of a speculative bubble appear obvious.

Yet the data suggest a more nuanced picture.

Markets are trading at record highs. More importantly, so are corporate earnings.

That distinction matters.

Historically, periods of genuine market excess have been characterised by valuations rising much faster than profitability. During the dot-com bubble, investors paid increasingly higher multiples for businesses whose earnings often failed to materialise. Prices were driven by optimism rather than results.

An Earnings Revolution, Not a Market Bubble

Today’s environment looks very different.

Recent earnings seasons have produced some of the largest upward revisions to profit expectations seen in years. After first-quarter results significantly exceeded forecasts, analysts were forced to revise expectations sharply higher. The same pattern has continued during the second-quarter reporting season.

The result is an unusually powerful acceleration in earnings growth.

Current consensus forecasts anticipate S&P 500 earnings growth of approximately 30% in 2026, followed by a further 13% in 2027 and 14% in 2028. Taken together, that represents cumulative earnings growth of roughly 67.5% over the next three years.

This is where the narrative surrounding valuations becomes more complicated.

Even if the S&P 500 were to deliver a relatively ordinary annual return over the same period, corporate profits would be growing substantially faster than share prices. Under such a scenario, investors could be paying lower valuation multiples in three years’ time despite positive market returns. Rising markets do not necessarily imply rising valuations.

One of the most overlooked developments of recent years is precisely this phenomenon. While index levels have reached new highs, valuation multiples have remained relatively stable. In parts of the technology sector, valuations have even declined as earnings growth has outpaced share price appreciation. In many cases, fundamentals have caught up with enthusiasm.

This observation complements another theme we recently explored in Angel’s recent CHART OF THE MONTH: AI AND MARKET RETURNS: LESSONS FROM PAST TECHNOLOGICAL REVOLUTIONS.Technological breakthroughs can transform economies without necessarily transforming long-term market returns. What makes the current environment unique is not just the technology itself, but the scale of the earnings growth currently emerging from it.

The AI Investment Cycle Behind the Earnings Revolution

The obvious question is what is driving such extraordinary earnings growth.

The answer lies largely in an investment cycle of historic proportions. Artificial intelligence has triggered what may become one of the largest capital expenditure booms in modern corporate history. Hyperscalers, semiconductor manufacturers and digital infrastructure providers are collectively investing hundreds of billions of dollars to build the computational capacity required to support the next generation of AI applications.

Importantly, the beneficiaries extend far beyond the most visible names. From networking equipment and cloud infrastructure to software and enterprise applications, a broad ecosystem is experiencing a level of demand that would have appeared unrealistic only a few years ago.

This is why today’s market may be better understood as an earnings story rather than a valuation story.

Investors are not merely paying higher prices for the same pool of profits. They are responding to a materially improved earnings outlook.

The Real Risk Is Not Valuation Multiples

That does not mean risks are absent.

In fact, investors may be focusing on the wrong risk entirely.

The question is not necessarily whether equity markets are experiencing a bubble. It may be whether they are experiencing an earnings bubble.

The distinction is subtle but critical.

If current profit growth proves sustainable, many valuation concerns could gradually disappear. If, however, earnings growth depends on an exceptionally high and ultimately unsustainable level of AI-related capital expenditure, today’s optimism may face a more meaningful test.

For now, there is little evidence of an imminent slowdown. Most major technology companies continue to signal substantial spending commitments, while demand for computing infrastructure remains well above available supply. Industry forecasts generally suggest that the current investment cycle has several years left to run.

History, however, offers a note of caution.

Railways, telecommunications networks and the internet all experienced extraordinary investment booms before eventually entering periods of normalisation. Artificial intelligence is unlikely to prove entirely different. At some point, expansion will give way to optimisation, and markets will need a new source of earnings acceleration.

Looking Beyond the Headlines

The lesson from today’s market environment is straightforward.

Record highs should not automatically be interpreted as evidence of speculation or excess. Prices considered in isolation can appear expensive while becoming increasingly reasonable when measured against a rapidly improving earnings outlook.

The more important challenge for investors is therefore not assessing where valuations stand today, but determining how long the current earnings revolution can endure.

As discussed in MAXIMILIEN’S RECENT ARTICLE, the key challenge for investors is increasingly about identifying which expectations are already embedded in prices and which opportunities remain underestimated by the market. What matters is not simply where valuations look cheap, but where future earnings power is still being mispriced.

As the gap between market narratives and corporate profitability widens, opportunities are likely to emerge for investors capable of distinguishing durable earnings growth from temporary enthusiasm. Ultimately, if earnings drive markets, the ability to identify businesses capable of sustaining that earnings growth may matter more than ever.

Further Analysis

This article is based on a broader research note exploring the relationship between earnings growth, valuations and the current AI investment cycle and prepared by our marketing team.

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