This material is based on data available as of the date presented and is provided solely for informational purposes. It does not constitute investment advice, a recommendation, an offer to sell, or a solicitation to buy any security or investment product. Past performance is not indicative of future results.
Before today's market open, NASDAQ futures tumbled more than 3%, led by Micron, which declined 9%. Yet these dramatic moves hardly seem unusual anymore. Just yesterday, the Russell 2000 rose 0.8% while the Nasdaq fell 1.3%, even as Micron gained 6% and ORKA surged 18%.
If this feels like an imbalanced market, you have not been paying attention. As of last Friday, the S&P 500 was up 9.6% year-to-date. The Nasdaq 100 and Russell 2000 have nearly doubled that performance, returning 20.4% and 20.1%, respectively.
Digging beneath the index level, the dispersion is even more remarkable. Memory stocks have gained 249.4% this year. AI data center stocks are up 116.4%, optical networking companies have advanced 113.7%, and semiconductor stocks have returned 102.5%. On the other side of the ledger, software stocks are down 19.3%, while companies viewed as vulnerable to AI disruption have fallen 24.1%.1
The divergence extends beyond industries and thematic groups. Factor performance has been equally extreme. High-beta stocks have outperformed low-beta stocks by 47.6 percentage points, while high-momentum stocks have outperformed low-momentum stocks by 23.7 percentage points.1
In-group differences is also striking. Software is a good example. While the iShares Expanded Tech-Software Sector ETF (IGV) is down 17.3% year-to-date and Microsoft has fallen 23.7%, Datadog, a fellow IGV constituent, has gained 62.8%.
And talking about Microsoft...the Magnificent Seven's leadership has faded meaningfully in Q2. Combined with the strong performance of the broader AI ecosystem, this suggests investors are moving deeper and broader across the AI value chain.
The contrast between Q1 and Q2 highlights how rapidly winners and loser have rotated. Technology was a net detractor in Q1, alongside Communication Services and Consumer Discretionary. By Q2, it alone contributed more than 10 percentage points to market performance and became the primary engine of returns, fueled by outsized gains from second- and third-order AI beneficiaries such as optical networking, data center infrastructure, and semis.
Data for the S&P 500
How winners are defined in this market? Despite the dramatic swings in Q2, the market has shown a clear preference for growth over valuation. Investors have been willing to pay premium multiples for companies delivering rapid growth, while inexpensive stocks with slower growth profiles have generally lagged.
Summary
The first half of 2026 has been defined by two themes. First, Q2 contrasted sharply with Q1. Emboldened by strong earnings results, investors rotated aggressively in Q2 into a broader set of AI beneficiaries. Second, the magnitude of return dispersion and the speed of market rotation have been extraordinary. Performance gaps across sectors, factors, and individual stocks reached levels rarely seen.
During Q2's rally to new highs, investors showed little concern for valuation and enthusiastically chased companies delivering rapid growth in AI-adjacent areas, whether in digital infrastructure or biotech. Some of these moves are bound to be excessive, as not all earnings growth will prove sustainable. The implication for investors is that stock selection, factor exposure, and the ability to identify and keep up with the next wave of AI beneficiaries have become increasingly important.
What an exciting environment for stock pickers. Have a great summer, everyone.
1. Data source: Goldman Sachs. As of 6/18/2026.