Weekly Warm-up: Broadening Continues as Index Struggles
The broadening trade continues as the equal-weighted market and cyclical industries outperform, while semiconductor leadership corrects and investors focus on earnings quality.
Our broadening thesis continues to play out as the index struggles to make headway and former leaders correct. This leadership change is likely to persist and may lead to further consolidation in major indices before the bull market resumes in earnest. Focus on EPS quality at the factor level.
- Our Broadening Thesis Continues to Play Out...The Equal Weighted S&P 500 has continued to outperform the Cap Weighted S&P, while Consumer Discretionary Goods and Transports have each outperformed the S&P 500 by 12% over the past two months. We continue to see support from accelerating earnings growth across the median stock, expanding Artificial Intelligence adoption, lower expected oil prices, and a Federal Reserve that remains on hold.
- ...As Semis Underperform...A month ago, we argued that the momentum trade and Semiconductors, in particular, were due for a pullback as earnings revisions breadth reached historical extremes, price action reflected commodity-like volatility, and positioning became increasingly concentrated and driven by leverage. While we would not be surprised to see a bounce in Semis given the 20%+ correction already experienced, we continue to expect market leadership to broaden beyond the space and across a wider range of industries in the second half. In other words, the momentum unwind is helping to fuel the broadening into areas where strong EPS revisions are underappreciated—particularly Consumer Discretionary Goods and Transports.
- We Still Like the Hyperscalers Versus Semis Over the Next Several Months...That said, we acknowledge that the risk/reward is less attractive after nearly 30% of relative outperformance in just 3 weeks. While our factor work suggests the market is placing renewed emphasis on capex discipline, we believe the hyperscalers were early in discounting both this shift and the market's focus on peaking capex growth. Further, they retain compelling AI optionality through strong core businesses, leadership potential in the agentic application layer, and an underappreciated cost-efficiency lever. As the AI cycle evolves, we expect continued rotations in relative performance across different AI beneficiaries, consistent with the
Broadening Continues as Index Struggles
Since our mid-year outlook published in May, we have been advocating for a re-emergence of the broadening trade driven by continued strong earnings and our expectation for oil prices to fall and lead to a subsequent cooling off in fears about Fed hikes. Since then, oil prices are down significantly from April highs despite recent volatility. Meanwhile, the average stock is outperforming again along with our preferred cyclical industries for the broadening trade—Consumer Discretionary Goods and Transports. Below is the full list of the key drivers of our broadening call over the past 2 months:
- 1. The most significant acceleration in earnings growth we have seen for the median stock (mid-teens growth) since the post-Covid recovery, driven by the return of positive operating leverage.
- 2. The underperformance of Semiconductors as earnings revisions breadth for the group reached upside extremes.
- 3. Despite a recent bounce, we see oil prices lower over the next several months. We first discussed our views on this front in April as the commodity was peaking.
- 4. An underappreciated AI adoption tailwind that is gaining momentum. 25% of S&P 500 companies are seeing quantifiable benefits from AI adoption, up from 14% a year ago.
- 5. A Fed on hold this year versus the bond market's expectation for rate hikes.
The primary risk to our call in the near term is that the unwind of the momentum trade turns into a more significant de-leveraging that leads to an overall risk-off environment. Furthermore, any de-leveraging could be exacerbated by the fact that liquidity is just "ample" at the moment and no longer abundant. This creates risk because the demand for liquidity continues to increase at a rapid rate from the record issuance of equity and debt (sovereign and corporate credit) that is being used for capital spending—i.e., capital is no longer just going into financial assets but also into the real economy. Ultimately, we believe the Fed and Treasury will be responsive to any stress from liquidity shortfalls, but this may come in a more reactive, rather than proactive manner.
The second point discussed above—the recent underperformance of Semis—has been the most talked about topic among investors recently. In early June, we first laid out our case for why the momentum trade and Memory stocks, in particular, were likely to see a meaningful correction (A Healthy Reset). We then noted that earnings revisions breadth for Semis had reached historical extremes, and was likely to mean revert. We can now confirm that earnings revisions breadth for Semis is starting to roll over from those extremes ( Exhibit 2 ). In addition to our notes on this topic over the past month, see here for Shawn Kim's note (Shawn is our Lead Asia and Europe Tech Hardware and Semis analyst) last week on the Memory stocks that supports our views (see Exhibit 4 below from his note). In addition, we highlighted the commodity-like characteristics of memory and the price analog versus silver stocks that appeared to be tracking fairly closely. In June, our QDS team highlighted the significant leverage in the long momentum and global Semis trade, which has also played a role.
Fast forward to today, and earnings revisions breadth for Semis has started to decelerate from historical extremes as noted and price performance continues to track the silver analog quite closely ( Exhibit 3 ). This analog implies another ~15% downside for Semis in the near term. We think it's reasonable for Semis to see a tradable bounce once the lows are in, but we're not convinced they will regain their leadership position in the second half of this year. Instead, we think the broadening has legs and a wider range of industry groups will lead the market higher into year-end once this correction is finished. With regard to the S&P 500, it has been consolidating for the past 2 months, since the broadening began to re-emerge. This is in line with our thinking that the rotation would happen in a down or consolidating tape. If the momentum unwind spills over into other areas and/or the conflict in the middle east escalates, the S&P 500 could consolidate further toward 7000, where we see durable technical support, before the bull market resumes in earnest into year-end. We still think our year-end target of 8000 is very achievable.
Within the Technology sector, we have been recommending Hyperscalers over Semis for the past several weeks. As discussed previously, we think the Hyperscalers were early in discounting the market's renewed focus on Capex discipline ( Exhibit 5 and Exhibit 6 ) and already went through their period of underperformance. This enhanced relative value for the group as the equal weighted multiple across META, AMZN, GOOGL and MSFT got down to 21x (in line with the March lows). We also believe the Hyperscalers have attractive optionality within the AI ecosystem: strong core businesses, the ability to participate in/lead the agentic application layer development and implementation, as well as an underappreciated cost cutting lever. While the risk/reward for this relative trade is not as attractive as it was a couple of weeks ago, we still think a Hyperscaler over Semis posture makes sense for the time being, particularly given the price analog of Semis vs. Silver stocks shown above that suggests Semis still have approximately 15% downside before a tradable low is in for the group. While we don’t think the AI capex cycle is over by any stretch, there could be a modest cooling off in the rate of change in revisions for Semis as the hyperscaler companies potentially recognize the capex/sales factor is no longer being rewarded while credit and CDS spreads have widened a bit for certain stocks.
The recent underperformance of our high capex/sales factor does raise the question whether the market is moving to a higher quality bias as it did in 2021. Interestingly, the High Gross Margin and High Sales Stability factors ( Exhibit 7 and Exhibit 8 ; clearly in the quality realm) are showing strong earnings revisions breadth that points to a catch up in performance. We think there's something to the assertion that the market is slowly rotating toward a higher quality leadership base, but it could take a couple of months for quality to emerge as a leadership factor in earnest. Importantly, the S&P 500 is broadly a high quality index, especially compared to international peers. This should continue to attract capital to the US over the coming months, a trend that has picked up recently. In other words, the broadening can continue as the market moves toward higher quality leadership. Exhibit 9 helps to reinforce this dynamic by showing that the cash conversion ratio for the median stock in the S&P is actually outpacing and diverging from that of the cap weighted S&P 500.
As noted above, we remain constructive on Consumer Discretionary Goods and Transports, two groups that have continued to show relative strength both in terms of performance and earnings revisions. In fact, earnings revisions breadth for Transports is the strongest we have seen since 2021 (~50%). As Exhibit 12 shows, Transports earnings revisions breadth correlates closely with the ISM Manufacturing Survey and points to a catch up in the ISM toward the ~60 level. The regression in Exhibit 13 helps to illustrate this.
Bottom line, we continue to believe the AI capex cycle remains intact and far from over; however, the acceleration in earnings revisions for Semis reached a peak rate of change for now, while their stocks got over-priced in the short term and were due for a proper correction. This is the fourth time we have had such a correction in the stocks that benefit from the AI capex cycle and we believe this one is not yet finished for Semis. This momentum unwind is helping to fuel the broadening of performance in the equity market as money rotates to other sectors and stocks where strong earnings revisions have been underappreciated. Finally, there is also a growing interest in companies with higher quality earnings, in addition to those with positive revisions. The hyperscalers were the first to de-rate on this focus and price it in advance; their relative value continues to look attractive, in our view.
Lastly, June core CPI came in well below consensus at 0.0% month-over-month. This supports our house view that core inflation can remain benign enough for the Fed to stay on hold this year as opposed to the consensus view it will hike rates.
Power Struggle: AI, Data Centers, & Local Backlash
The following is an excerpt from our recent deep dive on data center backlash and proposed moratoriums. Please see the full now for our interactive moratorium tracker.
Politics are becoming impossible to separate from the data center build-out: We highlighted "The Politics of Energy" as one of our 10 thematic predictions to watch heading in 2026, in particular the risk of rising backlash against data center growth becoming a key wedge issue ahead of the midterm elections. To be sure, this has played out so far: as the issue rises in salience with voters, third parties report an estimated value of ~$156 billion of projects were cancelled or delayed in 2025, and $130 billion already in 1Q26. These instances of local opposition have grown louder across state lines, as lawmakers at the federal level are now introducing legislation toward this end. If realized — or if local opposition continues to grow, even if contained at the state level — then we see a greater risk of actual AI capex falling short of our $877 billion estimate for 2026, carrying a multitude of implications across equity sectors & the macro backdrop. Data center moratoriums have precedent, and are expanding at the state and local level. To be sure, a growing number of localities have passed or proposed guardrails and restrictions on data center projects: guardrails introduced include infrastructure cost-sharing requirements, ratepayer protection initiatives, environmental disclosure rules and zoning changes. Restrictions have mostly been in the form of temporary moratoriums, impacting future projects or those lacking vested status. Further, although the explicit public opposition has tended to concentrate more in blue states and among Democratic-leaning voters, we're seeing state-wide data center moratorium proposals emerge roughly evenly in Democratic trifectas, Republican trifectas, and divided governments. Importantly, most efforts are aimed at slowing — not reversing — the build-out, as many of these policy initiatives are temporary.
Consumer survey data reflects the idea that the public is broadly supportive of some limitation on data center construction. Roughly half of respondents in a recent Morning Consult survey believe AI data centers negatively affect electricity prices and the power grid, while concerns about water prices and the environment are close behind at around 45%. Since October 2025, a larger share of consumers now view AI data centers as having a negative impact across most dimensions, with the biggest increases in concern related to water prices and the environment. In May 2026, for the first time since October 2025, more respondents to Morning Consult's monthly survey favored halting data center construction (~45%) over continuing to build while expanding energy supply (~38%). The share selecting "don't know/no opinion" held roughly steady.
Do these risks consequently imperil the US position in the global AI race? If the local policy efforts are either 1) made permanent and continue to expand and/or 2) reflected at the federal level, then we think the US risks keeping pace with China on the global AI competitive landscape. However, in our view, the geopolitical realities are hard to ignore, and therefore make it less likely that the federal government will meaningfully obstruct the US data center build-out. We think a conditional build-out is therefore a more likely outcome: given the integration of data centers into the physical layer of AI competition, we think projects may be heavily scrutinized, delayed, or contingent upon certain environmental or community-focused concessions.
In that vein, we see community benefits and local economic trade-offs as increasingly important, we think the three key levers to improve data center efficiency and address community concerns are:
1. Utilization: Improving utilization of existing data center capacity is one of the most immediate ways to increase efficiency, particularly as many facilities operate at only 30–40% utilization despite their high capital intensity. Better use of existing infrastructure can reduce the need for incremental capacity additions and improve the overall return on deployed capital.
2. Power: Data centers can address power constraints through on-site generation, demand response, and grid-support services. By combining renewables and storage, shifting non-critical workloads, and using UPS batteries to support grid frequency, operators can improve resilience, lower grid strain, and potentially create new revenue streams.
3. Water: Water efficiency is becoming a growing community and operational priority, with policy shifting from outright restrictions toward standards, disclosures, incentives, and performance benchmarks for data center water usage. This creates opportunities for enablers such as liquid cooling, water recycling, wastewater treatment, desalination, and ultra-pure water recovery technologies, all of which can reduce consumption and help operators meet tightening sustainability requirements.
Economic & Market Implications
US Economic Implications: the risk from data center growth is not a sudden nationwide electricity-price shock, but a stickier and more regional electricity inflation impulse. National electricity CPI remains elevated relative to its pre-COVID trend, and we expect it to settle at 4–5% y/y over the medium term as data center demand adds to underlying pressure. The strongest evidence is regional: Data center–heavy markets, particularly the South Atlantic/Northern Virginia, are seeing faster residential electricity inflation and higher wholesale power prices. The consumer impact is likely to be uneven and regressive, with affordability pressure most acute in regions where data center load growth collides with already elevated electricity burdens, transmission constraints, and slower grid expansion.
Equity market implications: we see the elevated political risk environment shifting cost allocation toward large load customers and creating bottlenecks around interconnection and labor. With an estimated ~38GW potential shortfall in power through 2028, we see data centers trending toward onsite generation as an attractive solution to address long lead times (5+ years in certain regions), which should be positive for SEI, INIO, and BE (all OW). We think publicly traded colocation data center REITs (OW EQIX, EW DLR) are largely insulated from the political pushback, as they are much smaller than the hyperscale/AI training data centers & are considered critical infrastructure.
Stocks mentioned: Innio N.V (INIO.O), US$27.72; Equinix Inc. (EQIX.O), US$1,020.00; Digital Realty Trust Inc. (DLR.N), US$173.88; Solaris Energy Infrastructure (SEI.N), US $60.28
Earnings Season Chartbook
Earnings Season Chartbook
- Financials kicked off earnings season on a strong note, driven by a surge in equities trading, a rebound in investment banking activity, and stable net interest income (NII). The market responded favorably, with T+1 share price reactions averaging +1% on both a mean and median basis.
- 2Q EPS expected at 20% Y/Y and sales at 10% Y/Y. A mid/high single digit beat rate is achievable.
- 2Q EPS estimates have been revised +2% higher into the quarter, contrary to the typical seasonal pattern where estimates are lowered modestly. Thus the bar is slightly higher this quarter.
- S&P 500 earnings revisions breadth (ERB) saw a seasonal pause into earnings season but remains strong in historical context at+19%. We see green shoots on ERB after the first reports from the banks.
- Calendar 2026 earnings have revised higher to 24% y/y. Earnings growth contribution is roughly equal between top-line growth and margin expansion.
- Mag 7 earnings are expected to grow 38% in 2026 vs. 16% for the S&P 493. We are seeing early signs of estimates being revised higher for the S&P 493.
- Dispersion (both price and earnings) is elevated heading into the quarter and we expect this to persist during earnings season, giving room for idiosyncratic price action.
Price Reaction (1Q 2026)
- 1Q saw +0.0% median T+1 price reactions on an absolute basis and -0.2% relative to the broad index.
- Staples, Discretionary, and Materials saw the strongest T+1 price reactions in 1Q26.
- Tech and Industrials saw negative T+1 price reactions in 1Q26.
Surprise (1Q26)
- 1Q EPS surprise at 16.8%, strongly ahead of the historical average of 4.4%.
- 1Q Sales surprise at 1.9%, above the historical average of 1.3%.
Company Guidance & Revisions
- S&P 500 earnings revisions breadth (FY2 estimates) is strong in absolute terms at +19% but saw a near-term peak into earning season during a seasonally soft period.
- Financials and Defensives (Utilities, Real Estate, Healthcare) have seen relative ERB strength in the past two weeks as index ERB softened.
- Energy, Tech, and Discretionary have seen the most negative ERB change over the past two weeks.
Sales
- Consensus expects 10% sales growth in 2Q.
- Consensus expects 10% 2026 Sales growth and 8% 2027 EPS growth
EPS
- Consensus expects 20% EPS growth in 2Q.
- Consensus expects 24% 2026 EPS growth and 17% 2027 EPS growth.
Margins
- Realized (LTM) EBIT margins are at 19.3% today and are expected to be 20.4% for FY2026 and 22.0% for FY2027.
- Realized (LTM) net margins are at 14.6% today and are projected at 15.4% for FY2026 and 16.6% for FY2027.
- 1Q consensus margins are at 15.1% for the S&P 500.
2Q Systematic Earnings Preview
2Q Systematic Earnings Preview (Full MS Coverage)
- Previews: KPI previews are +23% vs +24% net positive last quarter and NTM EPS previews are +21% vs +19% last quarter on projected NTM impacts. Previews are currently net positive across all sectors with the exception of Materials thus far.
2Q Preview Tracking
Our Morgan Stanley Analysts submit a systematic earnings preview where they forecast two items: 1) KPI and 2) NTM EPS impact. Below we summarize the sector and industry summaries of these previews. The population is the Morgan Stanley US coverage, which is broader than the S&P 500 and roughly similar to the Russell 1000.
Methodology: Each analyst identifies the key performance indicator (KPI) for each individual stock and it may differ from NTM EPS. For example, the KPI for a Financial Services or Semiconductor company may be net assets or GPU demand and this may differ from NTM EPS (although, it is often similar). Each analyst chooses one of five forecasts for both KPI and EPS: very negative, negative, in-line, positive, or very positive. We roll up these previews into a net score by taking (positive-negative)/total reactions.
Key Performance Indicator (KPI) Previews
EPS Previews
Screen 1: Favored Stocks with Positive Surprise Expected
We screen for OW-rated stocks that are expected to beat on key KPI, or to see N12M consensus EPS revised higher post results.
Screen 2: Less Favored Stocks with Negative Surprise Expected
We screen for stocks that are rated Equal Weight or Underweight by our analyst and are expected to miss on their key KPI. Note that the KPI may be different than N12M EPS.