AI Takes Over the Stock Market, Making It Harder for Active Managers

Artificial intelligence is changing financial markets so rapidly that active investment fund managers simply cannot keep up with the changes. Over the past two years, AI systems have taken on the role of major players on Wall Street, leaving people with decades of experience in the position of outsiders trying to guess what the machine will do.

Where Did AI Come From in the Markets

Algorithms have existed in the stock market before, but now they have become entirely different creatures. New generative AI models can process millions of news articles, tweets, analytical reports, and press releases in real time, finding patterns that the human brain simply cannot perceive. They trade in milliseconds, spot micro-price fluctuations, and extract profits from them.

Major funds such as BlackRock and Vanguard have already invested billions of dollars in developing their own AI systems. Startups are keeping pace too, offering their clients alpha through machine learning and neural networks. The market has become filled with algorithms, and competition between them continues to grow.

Research shows that AI trading is becoming increasingly dominant: if algorithms executed about 30% of all trades on Wall Street in 2015, today that figure exceeds 75%.

Why Managers Are Losing Ground

Human investors have always relied on a set of skills that seemed unbeatable:

• Fundamental company analysis (studying financial statements, revenue, development prospects)
• Intuition and experience (knowledge of market cycles, investor psychology, historical patterns)
• Personal contacts and expertise (insider information, investment conferences, meetings with management)
• Long-term strategies and patience (holding positions for 3-5 years or more)

But AI finds micro-opportunities that disappear in milliseconds. People spend a week analyzing a company's financial statements, while AI sees how its price will change in one second, thanks to a stream of micro-information. The intuition of a great manager, which was their main competitive advantage, is no longer one. The statistics are ruthless: even the most successful actively managed funds perform worse than the overall market and indices. Moreover, annual fees on active management (usually 1-2% per year) now outweigh the alpha that managers can generate through their talent.

How Managers Are Adapting

Active managers are not disappearing, but they are changing rapidly. Large funds are hiring AI specialists, training their analysts to work with neural networks, and reskilling themselves. Others are moving in the opposite direction:

• Shifting to long-term investing in areas where AI is still weak (private capital, startups, real estate, exotic assets)
• Using AI as an assistant for routine work, while focusing themselves on strategy
• Investing in people and companies, not just stock prices
• Seeking niche markets where large funds do not operate

"AI will execute routine trading.

A person should do what is expensive," — this mantra is repeated in major investment funds. But this is a transitional period of uncertainty. Those managers and funds that failed to adapt by 2026 likely did not survive the competition and either closed or were absorbed by major players.

What Does This Mean

AI is changing financial markets not just as a tool, but as a new scale player. This means that investing is becoming an entirely different business. The profession of active fund manager is slowly but surely becoming history, giving way to hybrid specialists: people who can talk to both algorithms and people simultaneously.