JPMorgan: AI investment keeps driving the market despite economic headwinds

AI capital spending has become the main anchor of the stock market at a time when the economy has accumulated many risks. Despite rising oil prices, higher interest rates and slowing business activity, investment in artificial intelligence continues to fuel earnings growth and attract capital.

Why investors are sticking with AI

Stephanie Aliaga, lead strategist at JPMorgan Asset Management, stresses that the AI sector remains the dominant force in the stock market. Amid political uncertainty and macroeconomic slowdown, investors are looking for footholds, and they are finding them in companies that integrate artificial intelligence into their business processes.

Companies betting on AI are showing steady earnings growth. This is explained not by mere fascination with the technology, but by real improvements in operational efficiency, lower costs and the opening of new markets. When traditional sectors of the economy lose momentum, AI remains a source of profitability and innovation.

The headwinds

The macroeconomic backdrop remains tense. The market is fighting several challenges at once:

• Rising oil and energy prices, creating inflationary pressure
• Persistently high interest rates, making borrowing more expensive for companies
• Slowing economic growth in developed countries
• A cyclical drop in business confidence
• Geopolitical uncertainty

These factors would normally hit tech stocks first. But investors see AI as a strategic bet rather than a cyclical one: a technology that can rewrite the competitive rules for the entire next cycle. So even amid macro turbulence, AI companies are attracting capital that would traditionally have fled to "defensive" assets.

2026: the year of agentic AI

Aliaga says 2026 may go down in history as the year agentic AI moved out of the lab and into the real economy. This means autonomous agents: systems that do not just process information but make decisions on their own and carry out tasks in real time.

It is a qualitative leap from the previous stage. If in 2023–2025 AI served as a tool to speed up specialists' work (text generation, data analysis, coding), in 2026 agentic AI may become a new kind of economic participant: an agent that works with minimal human oversight. Companies that deploy agentic AI at scale first will gain a significant competitive advantage.

What this means

The takeaway is simple: even amid macroeconomic turbulence and elevated risk, the investment market remains convinced of AI's transformational role. 2026 promises to be not just another year of hype around a new technology, but a turning point in the structure of the global economy.

Companies that postpone investment in agentic AI risk finding themselves uncompetitive by the middle of the decade.