For Wall Street to live up to the promise, AI is a need.
The potential of the new technology to change the world has been discussed extensively. It can produce incredibly lifelike photos and videos, perform flawlessly on rote research tasks, and score highly on the LSAT and MCAT. It is prepared to supplement entry-level positions, or perhaps to replace them.
Investors around are thrilled by these qualities. Proponents like as Tom Lee of Fundstrat and Dan Ives of Wedbush are adamant that AI has the potential to transform the human experience. Big banks like Goldman Sachs and Bank of America have hinted more subtly to the potential of AI as a productivity and profit enhancer, which may be a factor in stock market performance in the coming years.
In fact, even as the White House’s erratic trade policy reduces corporate America’s potential profits, experts are depending on the AI frenzy to boost the market. It is anticipated that S&P 500 firms’ earnings would increase by 8% this year, which is a mediocre performance for a year that is anything but ordinary. How much of that growth is dependent on the IT industry is noteworthy; Silicon Valley firms are predicted to increase their earnings by 21%, which is the largest growth of any sector. Retailers’ profits, meanwhile, are only expected to increase by a pitiful 2.5 percent.
In the IT sector, semiconductor businesses, which are among the most globally exposed industries on the stock market, are predicted to have a 49% increase in earnings this year. Wall Street is wagering that demand for AI’s use cases will outweigh concerns about tariffs or the state of the labor market, as seen by this excitement.
The adoption of AI has been so powerful that it has left its mark on economic data sets like factory spending and corporate investment. Its rise has been astounding. Even still, it seems shortsighted for investors to rely so heavily on AI to drive market gains, particularly in light of growing economic uncertainty, regardless of how enthusiastic the globe is about the technology’s potential. The market recovered from its April slump due to tech companies, but economic momentum and profit expectations are significantly lower now than they were at the bottom of the sell-off. Because of this combination, the stock market is in a risky position. Either AI lives up to the promise, or investors may be in for a rough second half of the year.
Our technological advancements, such as the lightbulb, calculator, tractor, and computer, serve as indicators of our society’s growth and have contributed to the level of production and efficiency we enjoy today. These technological advancements may be used to narrate the tale of human history.
Technology has arguably had an equally significant impact on our investing portfolios. At $18 trillion, the combined market capitalization of the Magnificent Seven stocks—Apple, Amazon, Alphabet, Meta, Microsoft, Tesla, and Nvidia—represents almost 33% of the S&P 500’s total market value. Their combined stock values have risen 330% over the last five years, while the S&P 500 has grown 100%.
It makes sense. Wall Street has taken notice of Big Tech’s goods because of their profound integration into our daily lives. In the first quarter, venture capital fundraising hit a record due to the strong demand for AI investments, and during second-quarter conference calls, S&P 500 firms spoke more about AI than tariffs.
Big Tech’s ups and downs may be especially affecting the $65 trillion US stock market today, but this hasn’t always been the case. Tech has accounted for over 20% of the market value of the S&P 500 on average over the last ten years, including 13% in the five years before to COVID. Although tech is currently responsible for the success of the broader market, this may not always be the case, and the dominance is not fixed.
Investors should pay attention to a deeper relationship even if the stock market may appear to be a good indicator of the tech sector’s current tremendous expansion. The performance of the US economy as a whole has been closely linked to the S&P 500 over time. Recessions coincided with eight of the previous twelve market crashes, which were defined as S&P declines of 20% or greater. Recessions tend to bring stock prices and corporate aspirations back to earth, regardless of how high-flying an industry is. Although the internet changed the world in the late 1990s and social media took over in the 2010s, the information industry has lost workers and seen its stock price decline over the last three recessions.
Given that configuration, we have created the conditions for a historic portfolio smackdown. Despite the fact that economists fear a recession is imminent, investors are remarkably optimistic about AI’s future, to the point that they have driven S&P 500 tech stocks to almost all-time highs. The same optimism is found among sell-side analysts who assess developments at the corporate level. However, hiring has stopped and layoffs are increasing in the real economy. Given the substantial differences in opinions between stock analysts and economists, someone must be mistaken. A huge wall made of historical tariffs, high interest rates, and poor consumer confidence might collide with the freight train that is the adoption of AI, a three-year tale of tremendous invention and advancement.
Tech businesses are the industry most vulnerable to global tariffs, which makes this especially lucrative. They have more factories and suppliers outside of the US, and they get the largest percentage of their revenue from outside. Despite generating 67% of their sales and obtaining 70% of their supplies from overseas, semiconductor businesses, which provide chips for AI technology, are actually predicted to achieve the previously indicated 49% earnings increase.
According to some observers, if AI can keep the stock market booming, it could be able to do the same for the economy. Ultimately, over one-seventh of the $16 trillion Americans spent on goods and services last quarter was spent by businesses on computers and other processing equipment, totaling $2.2 trillion, adjusted for inflation. In the end, increasing AI investment does contribute to economic growth, but that $2 trillion is little in comparison to the true driver of the US economy. About 70% of GDP is derived from American spending, which is by far the largest contributor to output. Over the last nine recessions, spending has decreased. The economy is likely headed for a crisis whether or not the robots work out if tariffs scare consumers and result in layoffs that drastically reduce American incomes. And the stock market could collapse due to an economic crisis, according to history.
Math demonstrates that AI isn’t very effective against some tariff effects and might not be logistically sufficient to keep the economy from collapsing. But the result of your portfolio might be a different matter.
At this point, I must present to you one of the most annoying investing axioms: The economy is not the stock market.
The value we produce, including tangible goods, money spent, and wages, is what makes up the economy. Although stocks forecast future expectations based on current realities, they are a manifestation of that worth. The economic impact of AI could not be quantifiable. The extent to which AI may impact your portfolio, however, will rely on our collective willingness to envision better futures for AI and the amount of wealth that AI-dominant companies will accumulate in the years to come. The AI industry already heavily relies on dreaming. Despite a 112% increase in share prices, the expected earnings of S&P 500 tech companies increased by almost 50% in 2023 and 2024.
Regarding the stock market, nothing is clear-cut. It is the ultimate complex web of psychology, logic, and conflicting motivations. The future of the stock market rests on investors’ capacity for dreaming, and when people are secure in the here and now, they are more inclined to dream.
The issue is that investors are now overconfident in tech equities. Although their shares make up 32% of the value of the S&P 500, S&P 500 tech firms only accounted for around 23% of the index’s overall earnings in the first quarter. Tech equities would need to fall 29% from their end-of-June levels or tech earnings would need to increase 40% in order to close that gap.
In situations when expectations are higher than reality, stocks can do well, but they need reasons to remain optimistic. The issue occurs when investors are unwilling to have dreams. when people are so preoccupied with current affairs to be skeptical of interesting news. or in significant market declines, wrecked by financial stress.
Then, it’s the numbers. Individuals search for any tangible proof of AI’s worth. They want proof of earnings, despite the fact that businesses are investing in a shift to the next great thing. If you own a large portion of US equities or index funds, you are likely highly vulnerable to this reality check. Stock prices fluctuate.
This is what took place in the year 2000. Before interest rates rose too high and it was discovered that the actual amount of processing required for Y2K was greatly exaggerated, investors were prepared to dream about this daring new technology known as the World Wide Web. The fantasy abruptly ended, and the price of tech stocks returned to normal. We all know today that that dream wasn’t entirely unrealistic. However, before the new technology’s promise materialized, share values plummeted by 80%.
In the conflict between AI and the economy, this is the main concern. We’re halfway between AI rescuing the world and being a hyped, ill-conceived technology that another nation may steal. I believe AI will eventually help our economy, and I’m not stupid enough to label this a bubble.
Investors want to think we’re there, but we’re not there. The adoption of major technical developments typically takes years, and when employees feel empowered and businesses feel free to grow, productivity typically shows. That’s not the case at all right now; business confidence is at an all-time low, thus the situation is reversed.
Holding onto what is genuine in your portfolio is the greatest course of action when the economy is weakening. The difference between AI and reality is also very noticeable.
