The Explosion of Artificial Intelligence
In recent years, artificial intelligence has radically transformed our perception of technology. From the impressive advancements of ChatGPT to the creativity of Sora, these systems have established themselves as cutting-edge tools.
Major American tech companies, anticipating a profound transformation of the economy, invested over $400 billion in infrastructure and data centers in just 2025.
Today, approximately 800 million people worldwide are using ChatGPT, a number that continues to grow.
The Economic Paradox: Huge Investments – Low Revenues
Despite colossal investments, revenues from artificial intelligence remain limited. It is estimated that total spending will reach $7 trillion over the next decade.
However, annual revenues for the sector do not exceed $50 billion, a modest figure compared to the total revenues of companies like Apple or Alphabet.
By 2026, interest is expected to shift from admiration for AI’s capabilities to its economic and social implications.
Slow Adoption by Businesses
Although many employees informally use AI tools, their official integration remains low.
In the United States, only 1 in 10 large enterprises reports having incorporated AI into their processes.
Even more concerning is that, according to research from MIT, 95% of AI pilot programs have not yielded profits.
A potential slowdown in the sector could have significant consequences for the American economy.
Where Can Profit Be Found? New Markets and Specialization
Despite the obstacles, the prospects for profitability are substantial. Startups are focusing on targeted solutions: Harvey AI assists law firms in contract analysis, Sierra enhances customer service through intelligent systems, and OpenAI and Anthropic tailor services for financial and life sciences organizations.
By 2026, a key indicator will be the official adoption of AI by businesses and the actual effectiveness of these solutions.
The Markets and the Risk of Correction
Artificial intelligence also directly impacts the stock market. According to analyses, companies heavily reliant on AI account for 44% of the S&P 500’s market capitalization. The P/E ratio of these stocks reaches 31, compared to 19 for the overall index—an indication of heightened expectations.
If adoption accelerates, investors will remain optimistic.
But if benefits are delayed, a market correction could strip trillions from household wealth.
The Labor Factor: Threat or Transition?
The rapid integration of artificial intelligence raises concerns about job security.
Companies are now promoting “digital agents” capable of performing tasks autonomously, 24/7, at lower costs.
Some startups even encourage businesses to “stop hiring people.”
This narrative easily reinforces the perception that AI poses a direct threat to workers.
Is AI Really Responsible for Unemployment?
Despite claims that artificial intelligence causes high unemployment among graduates, data does not support this assertion.
The reduced demand for specific skills may stem from earlier trends, such as over-hiring in the tech sector during the pandemic.
Recent studies, including those from Yale Budget Lab, find no evidence that sectors with high AI usage are laying off more employees.
As with previous technological revolutions, while some jobs may be eliminated, new ones are created and businesses often expand due to increased productivity.
Uncertainty but Also Opportunities
The excitement surrounding artificial intelligence is unprecedented. However, there is also uncertainty regarding the true scale of its impacts.
The technology is evolving rapidly, but the transition for society and the economy is much slower and more complex.
2026 will be a critical year to determine whether AI will meet expectations or if there will need to be a reassessment of assumptions surrounding its value.
Sources
The Economist
U.S. Census Bureau
MIT (Massachusetts Institute of Technology)
Bank of England
Yale Budget Lab
