AI Stocks Slide as BofA Warns of Momentum Fading in 2026
1h ago|4 min readStandard
Fazen Markets Editorial Desk
Collective editorial team · methodology
artificial-intelligencestock-market
Fazen Markets Editorial Desk
Collective editorial team · methodology
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A key segment of the U.S. equity rally showed signs of strain in late June 2026 as Bank of America Global Research raised concerns over fading momentum in artificial intelligence stocks. BofA's research note highlighted a sharp 8% quarterly decline in a basket of core AI hardware and software names against a broader market that remained positive. Investing.com reported the analysis on June 26, 2026, pointing to stretched valuations and shifting fund flows as primary catalysts for the pullback.
The current skepticism arrives after a historic multi-year bull run for AI equities. The Nasdaq-100 Index, heavily weighted toward tech, rallied over 120% from its 2023 low through early 2026, powered by euphoria around generative AI models and their expected integration across industries. The last comparable period of sustained tech momentum exhaustion was in late 2021, when the Nasdaq 100 corrected 33% over nine months as the Federal Reserve began its rate-hiking cycle.
The macro backdrop in mid-2026 features a Federal Reserve holding its benchmark rate steady in a 4.25%-4.50% range, with inflation hovering near the 2.5% target. This environment of higher-for-longer rates pressures growth stocks by increasing the discount rate on future earnings. The immediate catalyst for BofA's warning was a confluence of decelerating quarterly revenue growth guidance from several major AI software firms and a marked increase in short interest against the sector's most expensive names.
The divergence in performance is stark. BofA's proprietary AI Momentum Index, tracking 25 leading companies, fell 8.2% in Q2 2026. In contrast, the S&P 500 Index gained 2.1% over the same period. The sell-off erased approximately $1.2 trillion in collective market capitalization from the top 10 AI-focused firms. Short interest as a percentage of float for the index constituents rose to 5.8%, its highest level since Q4 2022.
| Metric | AI Momentum Index | S&P 500 Index |
|---|---|---|
| Q2 2026 Return | -8.2% | +2.1% |
| Forward P/E Ratio | 34.5x | 19.8x |
| Revenue Growth (Next 12M Est.) | 18.5% | 5.2% |
Valuation spreads have widened dramatically. The forward price-to-earnings ratio for the AI basket sits at 34.5x, a 74% premium to the S&P 500's 19.8x. This premium is down from a peak of 115% in late 2025 but remains elevated against a 10-year historical average of 40%.
The rotation away from pure-play AI names is creating clear winners and losers. Semiconductor capital equipment makers like Applied Materials (AMAT) and KLA Corp (KLAC) have outperformed, gaining 12% and 9% respectively in Q2, as investment shifts toward the physical infrastructure buildout. Conversely, high-multiple software-as-a-service firms reliant on AI hype, such as C3.ai (AI) and Palantir (PLTR), have underperformed the sector, dropping 15% and 11%.
A key risk to this analysis is that a breakthrough in AI agent capability or a surprise rate cut could reignite speculative fervor almost overnight. Current positioning data shows hedge funds increasing short exposure to the software layer while maintaining or adding to long positions in semiconductor manufacturers like NVIDIA (NVDA) and Advanced Micro Devices (AMD). Flow tracking indicates institutional money is moving into industrial and healthcare stocks offering more tangible near-term earnings visibility.
Two imminent catalysts will test the sector's resilience. The first is the Q2 2026 earnings season, commencing in mid-July, where guidance on capital expenditure from cloud providers like Microsoft (MSFT) and Amazon (AMZN) will be critical. The second is the Federal Open Market Committee meeting on July 29, 2026, where any dovish shift could provide relief to growth stocks.
Technically, the 200-day moving average for the Philly Semiconductor Index (SOX) at 4,250 points is a crucial support level to monitor. A sustained break below it would signal a deeper, more structural correction. Conversely, a rebound above the 50-day moving average at 4,600 would suggest the recent sell-off was a healthy consolidation.
Retail investors heavily exposed to thematic AI ETFs may experience heightened volatility. Funds like the Global X Robotics & Artificial Intelligence ETF (BOTZ) are concentrated in names now facing valuation pressure. A diversified approach or a focus on companies with proven profitability, rather than speculative growth, may offer more stability. Retail flow data shows a slowdown in weekly net inflows into AI-focused ETFs throughout June.
The scale and systemic risk are far lower. At its peak in 2000, the Nasdaq 100 traded at a forward P/E over 200x. Today's AI sector premium, while significant, is backed by actual revenue growth averaging 18.5%. The 2026 correction is more akin to the sector-specific rotation seen in 2014 when social media stocks corrected sharply while the broader tech market advanced.
A strong precedent is the 2017 rotation from the 'FANG' stocks into financials and energy as bond yields rose. The Technology Select Sector SPDR Fund (XLK) underperformed the S&P 500 for two quarters as money sought sectors benefiting from a reflationary environment. The current move from AI software to industrials and semiconductors mirrors that dynamic of seeking tangible assets and nearer-term cash flows.
The AI trade is undergoing a necessary valuation reset as higher rates and execution risks trim the sector's extreme premium.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.
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