CNBC · 10 Sep, 17:42 · Artificial Intelligence briefing

AI is losing its stranglehold on the U.S. stock market. Here's why

Recent analysis suggests that artificial intelligence algorithms are losing their dominant influence on United States equity markets.

25–40%salary premium for professionals with applied AI skills
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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Recent analysis suggests that artificial intelligence algorithms are losing their dominant influence on United States equity markets. While AI-driven trading previously accounted for a significant volume of daily transactions, shifting market dynamics and regulatory scrutiny are reducing its stranglehold. This development indicates a rebalancing towards fundamental analysis and human-led investment strategies. For finance professionals, this signals a potential correction in the perceived ubiquity of automated trading systems, highlighting the enduring relevance of traditional financial expertise amidst technological disruption.

Employer demand for Financial Modeling skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.3x20212x20222.8x20234x20245.8x20258.2x202611.1x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This shift implies that purely algorithmic trading skills may plateau in value, whereas hybrid expertise combining technical understanding with traditional financial analysis will surge. You should focus on strengthening your fundamental valuation capabilities and risk assessment skills, as markets become less predictable through automation alone. Professionals in investment banking, asset management, and financial advisory roles must adapt by integrating AI insights rather than relying on them exclusively. Upskill in interpreting market anomalies and regulatory impacts. Prioritise courses that bridge data literacy with core financial theory. This ensures you remain indispensable, offering nuanced judgment that algorithms cannot replicate, positioning you as a strategic asset in a maturing fintech landscape.

For this story, the fields that convert it into pay are Financial Modeling, AI in Banking, Risk Management Strategies and Data Science — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Financial Modeling+28%AI in Banking+26%Risk Management Strate…+33%Data Science+27%
Matched to this story

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This briefing is based on reporting by CNBC on 10 Sep, 17:42. Read the original coverage →

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