View of stock market charts. While concerns about an AI bubble persist, the broader American tech sector continues to adapt and evolve. (Shutterstock/ARVD73)
Lately, some have asked whether the American tech industry is losing its edge.
Artificial intelligence (AI) stocks have been falling, fueling concerns of an AI bubble. College graduates are booing the very mention of AI in commencement addresses while data centers confront organized opposition.
You can see why all this would fuel concerns of a tech slip. America’s tech sector accounts for a significant share of its total GDP, while seven AI companies account for more than a third of the value of the S&P 500. Any slowdown could have serious ripple effects.
But the American tech sector remains one of the most resilient and dynamic in the world. US tech is not imploding, but it is changing in important ways that will impact companies, investors, and consumers going forward.
Take the layoffs that we began to see in 2024. Some tech companies overestimated how quickly they could replace human coders and other engineers with AI, hoping to save money but displacing an enormous pool of talent.
Many of these companies have since pulled an about-face, refilling some of those same positions and acknowledging that AI cannot yet write code efficiently at scale. Management was spending more time correcting mistakes in AI-written code than it would have if a person had done the same task.
This, plus the stock selloff, is rightly raising eyebrows. But it also points to a more realistic phase: tech companies are scaling back their expectations of AI and learning that adoption may be slower, more specialized, and more expensive than early predictions suggested. Where once OpenAI chief Sam Altman predicted massive difficulties for entry-level white-collar workers, now he admits, “I’m delighted to be wrong about this.”
Yet interestingly, as companies downscale their AI ambitions, customers are upscaling theirs. Research from 2024 found that almost 60 percent of people worldwide had higher expectations of customer service than in the previous year, while 90 percent prioritized receiving an “immediate” answer to a customer service question.
The reason? AI chatbots have made many responses more instantaneous and efficient, even when the quality of those interactions remains uneven. Even as Americans express widespread skepticism of AI, the technology is changing the way we think.
This suggests a real future for AI integration, albeit a more specialized and constrained one than the one Altman predicted. The same thing happened with railroads and later dot-coms: widely heralded new technologies, chased by immense investor capital, overshot but still changed our lives.
The American tech sector isn’t just ChatGPT and Claude. Few US tech shortcomings have been lamented more than semiconductors, invented in California, only for their innovation and production to shift to East Asia.
Yet thanks in part to the CHIPS Act passed by Congress in 2022, this is gradually changing. Semiconductor companies are reshoring to the United States and building new facilities; SpaceX recently unveiled plans for a major AI chip factory. The Semiconductor Industry Association notes, “Over 100 projects in 28 states have been announced,” which “are expected to create and support more than 500,000 US jobs and help triple US chipmaking capacity by 2032.”
If fully realized, this boom, driven by a commitment from Congress, would show real diversification. Tech elevated to industrial policy can help make the US sector more globally competitive, which is vital as China and Europe step up their tech efforts.
The elephant in the room when it comes to foreign tech is Huawei, which dominates 5G and is a major AI player, too. Earlier this year, the federal government greenlit a merger between US tech companies Hewlett Packard Enterprise and Juniper Networks after initially seeking to halt the acquisition.
The reason? An intervention from the US intelligence community, which considers Huawei a threat to national security and sought a scaled-up American competitor. It’s another example of tech investment and federal policy merging, one that’s making the US sector more globally competitive.
The US tech industry still has the strongest global position. China has a substantial AI presence, but it is hampered by domestic economic woes, particularly weak consumer demand and spending.
And while much has been made about the Scaleup Europe Fund, meant to catalyze investment in European tech, the fund is worth around $5.8 billion. American venture capital can approach that scale on start-ups over a short period.
It’s fair to ask tough questions about American tech. In retrospect, some corrections were always in order, especially given how bullish the initial sentiment surrounding AI was.
But perspective still matters. The US tech industry is changing, not burning. At the same time, the next stage of AI will be shaped by real limitations: unreliable outputs, high infrastructure costs, energy and data center concerns, labor disruptions, public skepticism, and the gap between investor expectations and practical deployment.
These constraints do not mean AI is failing, but they do mean the future will likely be more disciplined, specialized, and gradual than the early hype suggested. The overall signs remain positive, but optimism should be paired with a clearer view of the field’s limits.
Reza Moradinezhad, PhD, is an assistant teaching professor at Drexel University’s College of Computing & Informatics and an AI Scientist at TulipAI. Reza received his PhD from Drexel, focusing his dissertation on how humans build trust toward AI agents. He has collaborated with top institutions, including MIT, CMU, and Harvard University, publishing and presenting his work in venues such as Springer Nature and ACM CHI. Reza looks forward to making AI more trustworthy through ethical and responsible design.
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