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Impact of ai on stock market: will investing change forever?

Stock Market Shake-Up | AI Makes Investment Insights Cheap and Fast

By

Clara Dupont

Sep 14, 2026, 12:38 PM

Edited By

Sofia Zhang

2 minutes needed to read

A graphic showing a person analyzing stock data on a digital screen with AI elements around, symbolizing the impact of artificial intelligence on financial markets.
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A recent discussion is stirring up the stock market community, igniting confusion and skepticism about the future of investing. With AI capable of identifying undervalued stocks swiftly and at little cost, can traditional methods survive this technological wave?

As access to sophisticated financial tools becomes ubiquitous, the landscape of investment choices is bound to shift. Investors are left pondering: Will power and capital become the defining factors in a market awash with intelligence?

AI: The Great Equalizer or Unfair Advantage?

Opinions vary widely on how AI might transform stock trading. Some believe it could level the playing field for retail investors, while others argue that it further entrenches the existing power of institutional investors.

One user pointed out, "It shifts to those who have the most capital and best data even more so than it currently does." This sentiment was echoed by another, highlighting that, "Companies are already fighting to get their servers as close as possible to the exchanges to make the quickest trades and transactions."

Capital Still Reigns Supreme

Many commenters are adamant that AI tools won't fundamentally change the core dynamics of the market:

  • Connection Speed Matters: "It's called High Frequency Trading. The edge already shifted to who has the lowest latency connection to the exchange."

  • Institutional Dominance: "Institutional and ultra-wealthy individual investors already own the large majority of the stock market."

  • Retail Investor Limitations: "Most people won't have access to AI models that can actually do a decent job of picking undervalued stocks."

The Cost of Analysis: An AI Experiment?

However, the cost of running thorough AI analyses raises another concern. Users suggest that significant financial resources are necessary to conduct in-depth evaluations, often resulting in firms selling insights to wealthier investors. One commenter bluntly stated, "You might easily burn a couple hundred dollars worth of tokens doing an analysis of a single company."

"Fundamentals haven’t mattered in the stock market for a long time. Big capital chooses winners and losers"

Key Takeaways

  • πŸ” Many argue AI will enhance existing disparities in capital and data access.

  • πŸ€– Institutions already dominate the stock market landscape, making it challenging for retail investors.

  • πŸ’Έ Access to high-end AI tools likely requires substantial investment, limiting real competition.

The ongoing debate sheds light on a crucial question: Will traditional investing methods become obsolete as AI democratizes financial intelligence? Only time will tell how this technological evolution will reshape the future of investing.

What Lies Ahead in Investing?

There's a strong chance that the influence of AI on stock trading will intensify, leading to greater divides in the market. Experts estimate that by 2028, around 70% of trades may rely heavily on AI-driven analytics. This trend could push more retail investors out while enhancing institutional trading efficiency. If access to AI tools remains costly, smaller investors will struggle to compete, concentrating wealth further. As a result, traditional investing strategies might fade, replaced by those adapting rapidly to technological advancements.

A Curious Echo from the Past

Consider how the rise of e-commerce transformed shopping in the late '90s. Just as retail giants quickly adapted to online sales, leaving small businesses behind, the stock market could experience a similar shift. Those with the resources and technology to harness AI will thrive, while others risk obsolescence. Just as a storefront without a website became a rarity, so too might traditional investing methods seem out of place in a future dominated by data-driven analysis and rapid trades.