Connect with us

Hi, what are you looking for?

AI Finance

Investors Shift from Tech Giants to Energy and Defensive Stocks Amid AI Concerns

Investors are fleeing mega-cap tech stocks like Microsoft and Amazon, diverting funds to energy stocks, which have surged 22% this year amid AI-driven shifts.

Investors are increasingly retreating from technology and mega-cap stocks, opting instead for sectors benefiting from a resurgence fueled by artificial intelligence (AI) investments. Stocks managed to break a two-week losing streak on Friday, yet year-to-date performance remains lackluster for sectors like Technology (XLK), Consumer Discretionary (XLY), and Financials (XLF), all of which are still in the red.

According to Keith Lerner, chief investment officer and chief market strategist at Truist, “Money’s coming out of this big behemoth. Money’s moving out of tech.” This shift has been particularly evident in the rotation away from the so-called Magnificent Seven tech giants, including Microsoft (MSFT), Amazon (AMZN), and Tesla (TSLA).

In contrast, sectors that struggled last year are witnessing substantial gains. Energy stocks (XLE) have surged by 22% since the beginning of 2023, largely driven by rising oil prices and persistent demand. Major players like Chemical (CVX) and ExxonMobil (XOM) have seen their shares increase by 20% and 22%, respectively. Similarly, the Materials (XLB) and Industrial stocks (XLI) have posted gains of 15% and 14%, respectively, as AI infrastructure investments and reshoring initiatives gain momentum.

Investors are also gravitating toward more stable segments of the market, such as Consumer Staples (XLP). Notably, retail giant Walmart (WMT) reached an all-time high earlier this month. Although portfolio rebalancing is typically seen at the start of the year, this year’s rotation has been intensified by market volatility.

A sell-off in certain areas of the tech sector began last month, spurred by concerns that AI may disrupt roles traditionally occupied by enterprise software companies. The Tech-Software Sector ETF (IGV) is down 23% year to date, reflecting this sentiment. The so-called “AI scare trade” has expanded beyond software to include wealth management and logistics sectors.

Cybersecurity firms recently faced declines, with shares of CrowdStrike (CRWD) dropping 5% and Zscaler (ZS) and Cloudflare (NET) falling by 4% and 6%, respectively, after Anthropic introduced a new security tool. Lerner noted, “Everyone’s kind of going through each one, sector by sector, industry by industry, trying to figure out where the AI disruption is going to be beyond just within tech itself.”

Looking ahead, profit growth and anticipated easing of interest rates by the Federal Reserve are expected to support a broadening of the stock market. Betters on Polymarket are predicting two to three rate cuts in 2026. UBS strategists expressed optimism, stating, “With the easing cycle still intact, and the US economy showing resilience … we expect healthy and broadening profit growth across sectors.”

This evolving market landscape underscores a significant shift in investor preferences, illustrating how sectors once deemed underperforming can gain traction amid changing economic conditions and technological advancements. As AI continues to influence various industries, the dynamics of investment will likely evolve, presenting both challenges and opportunities for investors in the months ahead.

See also
Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

You May Also Like

Top Stories

Nasdaq enters correction territory as Nvidia, Microsoft, and Amazon emerge as top investment opportunities amid a 10% decline, leveraging AI for growth.

AI Business

David Tepper boosts stakes in Alphabet (29%), Meta (62%), and Microsoft (8%) amidst price dips, signaling potential buying opportunities in AI investments.

Top Stories

Anthropic's Claude Mythos uncovers thousands of critical vulnerabilities across major systems, prompting a $100M coalition including Nvidia and Amazon to enhance cybersecurity.

AI Cybersecurity

Anthropic restricts access to Claude Mythos, its most powerful AI, as it detects vulnerabilities with an 83.1% score, amid rising cyberattack risks.

AI Technology

Microsoft, Google, and Amazon expand hyperscale data centers as CrowdStrike's 2024 outage reveals risks, driving demand for resilient edge AI infrastructure.

AI Technology

Analysts predict IREN could see a 100% upside as demand for AI compute surges, tapping into the $250 trillion market potential highlighted by industry...

Top Stories

Microsoft unveils a new open-source toolkit for real-time governance of AI agents, enhancing enterprise security and compliance while managing operational costs.

AI Research

CloudFront's recent outage blocked access to critical applications, underscoring the urgent need for businesses to strengthen their cloud infrastructure and resilience plans.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.