Major artificial intelligence equities staged a 4.5% rebound last week, led by chipmakers and software providers, as investor sentiment temporarily improved. The move, analyzed in a July 20 note from Fairlead Strategies' founder Katie Stockton, is viewed as a technical bounce within a broader downtrend. Stockton advises institutional clients to use the strength to reduce exposure, citing negative momentum divergences and a looming test of critical support levels that could trigger the next leg down.
Context — why this matters now
The AI sector is grappling with a significant pullback after a multi-year bull run that saw the S&P 500 Information Technology sector gain over 80% from its October 2023 low. The current macro backdrop features elevated Treasury yields, with the 10-year note hovering near 4.2%, which pressures the present value of growth stocks' long-duration cash flows. The recent bounce was triggered by better-than-expected earnings from a major semiconductor equipment supplier, temporarily easing concerns over capital expenditure cycles. However, this positive catalyst is viewed as insufficient to reverse the dominant bearish momentum that began in late June 2026.
The current correction mirrors the drawdown experienced in late 2025, when the AI basket declined approximately 18% over two months following peak enthusiasm around generative AI product launches. That selloff found support at the 200-day moving average, a key long-term trend indicator closely watched by quantitative funds. The failure of last week's rally to decisively break above short-term resistance suggests underlying weakness and a lack of committed buyers at these elevated valuation levels.
Data — what the numbers show
The SIG NVIDIA Index, a key benchmark for AI-related stocks, advanced 4.5% for the week ending July 18, 2026. This rally followed a 14.2% decline from its June 25 peak of 1,450 to a July low of 1,244. Despite the rebound, the index remains 8.7% below its all-time high. Trading volume during the upswing was 15% below the 30-day average, indicating a lack of conviction behind the buying.
A comparison of key AI components shows divergent performance. NVIDIA Corporation (NVDA) gained 6.1% last week but is still down 11.5% from its June high. Advanced Micro Devices (AMD) rose 5.2%, underperforming the broader basket. The VanEck Semiconductor ETF (SMH) added 4.8%, slightly outperforming the tech-heavy Nasdaq Composite's 3.9% weekly gain. The relative strength index (RSI) for the SIG NVIDIA Index sits at 48, well below the overbought threshold of 70, suggesting there is room for further decline before the sector is considered oversold.
| Metric | Pre-Correction High (June 25) | July Low | Last Week's Close | Change from High |
|---|
| SIG NVIDIA Index | 1,450 | 1,244 | 1,315 | -9.3% |
| NVDA Stock Price | $142.50 | $126.10 | $133.80 | -6.1% |
| SMH ETF | $275.40 | $242.20 | $253.90 | -7.8% |
Analysis — what it means for markets / sectors / tickers
The technical weakness in AI leaders signals potential underperformance for the broader technology sector, which carries a 30% weighting in the S&P 500. A continued sell-off would likely pressure growth-oriented funds and ARK-style innovation ETFs, which are heavily allocated to semiconductor and software names. Conversely, a rotation into value sectors like energy and utilities could accelerate if AI-driven volatility persists. The S&P 500 Energy sector is up 4.1% year-to-date, outperforming the technology sector's 2.8% gain over the same period.
A counter-argument to the bearish technical outlook is that underlying demand for AI infrastructure remains strong, with major cloud providers like Amazon Web Services and Microsoft Azure reporting sustained capital expenditure plans. This fundamental strength could provide a floor for earnings and limit the downside. However, market positioning data from the Commodity Futures Trading Commission shows hedge funds have increased their short positions on Nasdaq 100 futures to the highest level since January 2026, indicating professional traders are betting on further tech weakness.
Outlook — what to watch next
The immediate catalyst for the AI sector will be earnings reports from major cloud providers, with Microsoft (MSFT) and Alphabet (GOOGL) scheduled to report on July 29 and July 30, respectively. Any guidance reduction for AI-related capital expenditure would likely validate the negative technical signals. The Federal Open Market Committee meeting on August 6 will also be critical; a hawkish stance reaffirming higher-for-longer interest rates would further pressure growth stock valuations.
From a chart perspective, the key support level to watch for the SIG NVIDIA Index is the 200-day moving average, currently near 1,190. A decisive break below this level, confirmed by a weekly close, would signal a likely decline toward the 1,100 area. On the upside, resistance is firm at the 50-day moving average near 1,360. A break above this level with strong volume would be necessary to invalidate the current bearish short-term outlook. For more on identifying key technical levels, see Fazen Markets' guide to moving averages.
Frequently Asked Questions
What is the relative strength index (RSI) and what does it indicate for AI stocks?
The relative strength index is a momentum oscillator that measures the speed and change of price movements on a scale of 0 to 100. An RSI reading below 30 typically indicates an oversold condition, while above 70 suggests overbought. The current RSI of 48 for the AI sector indicates neutral momentum with a bearish bias, as it has failed to rebound strongly during last week's rally. This negative divergence often precedes further price declines.
How do rising interest rates specifically affect high-growth AI companies?
AI companies are often valued on their projected long-term earnings potential, making them sensitive to discount rates used in valuation models. When the 10-year Treasury yield rises, the present value of those future cash flows decreases, justifying lower stock prices. A 100 basis point increase in rates can reduce the theoretical fair value of a growth stock by 15-25%, depending on its duration profile. This dynamic explains why AI stocks have underperformed during the Fed's tightening cycle.
