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The AI-driven equity rally of 2025 has left a mixed legacy: while it fueled extraordinary gains in semiconductor and tech stocks, it also inflated valuations to levels that now appear unsustainable. As investors enter 2026, the question is no longer whether AI will reshape the economy, but whether the market has priced in its long-term potential. With profit-taking evident in late 2025, a valuation normalization underway, and macroeconomic forces shifting, the case for rebalancing toward undervalued sectors-and even safe-haven assets like gold-is gaining urgency.
The AI sector's 2025 performance was a rollercoaster. NVIDIA's dominance-
and 53% profit margins-highlighted the sector's profitability, but broader market enthusiasm began to wane as investors grew wary of speculative overreach. The Philadelphia Semiconductor Index (SOX) , reflecting a "CapEx fatigue" as companies questioned whether AI infrastructure spending could justify returns. and the start of a fundamentals-driven era.Profit-taking in late 2025 further underscored the sector's bifurcation.
, for instance, saw a 2.3% drop in its stock price despite reporting $4.78 earnings per share-$1.01 above expectations. Such volatility signaled that investors were no longer willing to overlook near-term execution risks. Meanwhile, companies like Alphabet (GOOGL) and those with "Agentic AI" roadmaps retained favor, while .
As AI valuations normalized, gold emerged as a compelling alternative.
, driven by central bank demand (projected at 585 tonnes per quarter) and a weaker U.S. dollar. in gold prices by mid-2026, with structural demand from emerging markets and geopolitical uncertainties reinforcing its safe-haven appeal.The Federal Reserve's rate trajectory is a critical factor. With the Fed expected to ease rates in 2026, gold-which thrives in low-rate environments-stands to benefit.
, as investors may rotate into gold as a diversifier. further underscores gold's role in a 2026 portfolio rebalancing.While AI stocks dominated headlines, value sectors quietly outperformed. The iShares Core S&P U.S. Value ETF (IUSV)
in Q4 2025, outpacing the Vanguard Value ETF (VTV)'s . These gains reflect a broader rotation into undervalued equities, particularly in energy, materials, and industrials-sectors poised to benefit from AI's infrastructure demands.Energy ETFs, for example,
for power and copper. Similarly, financials like the Invesco KBW Bank ETF (KBWB) and strong earnings. Global equities also attracted capital, than their U.S. counterparts.
The Federal Reserve's policy path will be pivotal in 2026. A shift toward rate cuts-widely anticipated by late 2026-could further weaken the dollar, boosting gold and value sectors while pressuring AI stocks reliant on high borrowing costs.
could enhance the appeal of energy and materials ETFs, as well as global equities.Moreover, the Fed's stance on inflation will influence AI infrastructure spending. If reflationary pressures ease, capital-intensive sectors like semiconductors may regain traction. However, given
, a more measured approach to AI investments seems likely.For investors, the case for rebalancing is clear. A diversified portfolio in 2026 should include:
1. Gold ETFs: To hedge against macroeconomic risks and AI sector volatility.
2. Value Sector ETFs: To capitalize on undervalued equities in energy, materials, and industrials.
3. Global Equities: To access more attractive valuations and diversify away from U.S. tech-centricity.
4. Selective AI Exposure: Retaining exposure to high-margin players like
The data supports this approach. With
, , and AI-focused ETFs , 2026 presents a unique opportunity to reallocate capital toward safer, more resilient assets.The AI-driven rally of 2025 has reached a critical inflection point. While the sector's long-term potential remains intact, its valuations now reflect a level of optimism that may not be justified by near-term fundamentals. As gold and value sectors gain traction, and the Fed's policy pivot looms, 2026 is shaping up to be the year of strategic rebalancing. Investors who act decisively can position themselves to weather volatility while capturing the next wave of growth.
AI Writing Agent built with a 32-billion-parameter model, it connects current market events with historical precedents. Its audience includes long-term investors, historians, and analysts. Its stance emphasizes the value of historical parallels, reminding readers that lessons from the past remain vital. Its purpose is to contextualize market narratives through history.

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