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Morgan Stanley Is Positive on a Rolling Recovery and Earnings Diffusion in U.S. Equities

Institution
Morgan Stanley
Date
2026-05-14
Authors
Michael Wilson, Nicholas J. Lentini, CFA
Company
-
Ticker
-
Industry
US Equity Strategy; AI; Consumer Electronics; Financials
Rating
Overweight: Industrials, Financials, Consumer Discretionary Goods; Underweight: Consumer Staples, Real Estate
NeutralLow confidenceThe report argues that the rolling recovery is progressing, earnings growth is broadening, operating leverage remains positive, and AI adoption further supports forward earnings.
AuthorsMichael Wilson, Nicholas J. Lentini, CFA
CoverageUnited States
Business segmentsIndustrials、Financials、Consumer Discretionary Goods、Consumer Staples、Real Estate、Technology、Healthcare、Utilities、Energy、Communication Services、Materials
Research firm divisions/subsidiariesMorgan Stanley(Other)

AI summary card

Morgan Stanley Is Positive on a Rolling Recovery and Earnings Diffusion in U.S. Equities

The report argues that U.S. equities over the next 12 months will be driven by a strong earnings backdrop, positive operating leverage, and AI adoption, with cyclicals looking more attractive than defensives.

Positive strategic stance; over a 12-month horizon the report favors cyclicals and the earnings-acceleration theme, with an overweight to Industrials, Financials, and Consumer Discretionary Goods and an underweight to Consumer Staples and Real Estate.
U.S. equity strategyMid-2026 outlookEarnings recoveryCyclicals outperform defensivesAI adoptionSector positioning
  • Morgan Stanley expects 2026, 2027, and 2028 S&P 500 EPS of $339, $380, and $429, implying growth of 23%, 12%, and 13%, respectively.
  • The report continues to emphasize three themes: an economy and earnings cycle that remain slightly hot, a rebalancing from public to private assets, and a broadening in earnings and performance breadth.
  • At the sector level, it favors Industrials, Financials, and Consumer Discretionary Goods, while underweighting Consumer Staples and Real Estate.
  • AI-related stocks and hyperscale cloud providers are still viewed as attractive relative-value trades, given strong forward earnings and undemanding valuations.
  • Key risks include geopolitical and tariff disruptions, energy prices, weakness among lower-income consumers, uncertainty around global growth and commodity prices, and potential conflicts of interest disclosed by the research firm.

Report interpretation

Overview

This is a Morgan Stanley U.S. equity strategy data pack and mid-year outlook. The report argues that U.S. equities are moving from the trough of a rolling recession into a new rolling recovery phase, with a strong earnings backdrop, sustained positive operating leverage, and AI adoption further reinforcing corporate earnings growth. The overall view is that the recovery should continue over the next 12 months, and market gains should broaden from a handful of leaders to a wider set of stocks and more cyclical segments.

Core views

The core views are as follows: first, S&P 500 earnings from 2026 to 2028 still have strong growth potential, with EPS forecasts of $339, $380, and $429, respectively; second, the relative performance of cyclicals versus defensives is consistent with the rolling-recovery and earnings-acceleration narrative; third, median-stock earnings growth in the Russell 3000 has returned to its strongest level in four years, and earnings-revision breadth has improved; fourth, sector positioning favors Industrials, Financials, and Consumer Discretionary Goods, while avoiding Consumer Staples and Real Estate; fifth, the AI theme supports not only Technology and hyperscale cloud providers, but also influences Industrials, Utilities, and other sectors through capex, productivity, and energy demand.

Analysis framework

The report combines macro leading indicators, earnings revisions, market sentiment, valuation, relative sector performance, investor positioning, and technical data to assess the earnings cycle and sector allocation for the U.S. equity market. Its framework is not a single-company valuation exercise, but a top-down strategy study: first assess the economic and earnings cycle, then map that to cyclical/defensive style, sector overweight and underweight positions, and AI and capital-expenditure-related themes.

Methodology notes

  • macro_earnings_modelNon-PMI Leading Earnings Indicator

    Non-PMI Leading Earnings Indicator

    This indicator is used to validate earnings forecasts from a top-down perspective. Inputs include the Philadelphia Fed business activity index, Creighton University business confidence, Chicago Fed supplier deliveries, an inverse signal from the Atlanta Fed wage tracker, an inverse signal from NFIB small-business inflation issues, and the monthly GDP cycle component from Brave-Butters-Kelley, with fixed weights.

  • sentiment_modelMS Sector Analyst Sentiment Tracker

    Sector Analyst Sentiment Tracker

    Morgan Stanley uses a proprietary natural-language-processing model to measure analyst sentiment momentum at the sector level. The report says the tool can predict sector performance over the next month and can contribute alpha to stock portfolios.

  • style_rotationCyclicals vs Defensives

    Cyclicals vs. Defensives

    The report uses the relative performance of cyclicals versus defensives to validate the rolling-recovery and earnings-acceleration view; as of May 2026, the ratio was well above its 200-day moving average, indicating cyclical outperformance.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • US equities / S&P 500
    Core coverage market
    Strengths
    Expected earnings growth is strong, earnings revision breadth is improving, and AI adoption and operating leverage are supporting profit expansion.
    Weaknesses
    The equity risk premium is low, so traditional valuation metrics may offer limited margin of safety.
    Comparison
    Relative to defensive assets and defensive sectors, the report prefers stocks and cyclical names driven by earnings acceleration.
    Risks
    Earnings forecasts failing to materialize, higher rates, valuation compression, and macro or geopolitical shocks.
  • Industrials
    Overweight sector
    Strengths
    Capital goods and transportation earnings revisions and macro indicators are improving; freight spending, C&I lending, and short-cycle revenue are stabilizing; capex is being supported by the earnings recovery, fiscal support, data center construction, and reindustrialization.
    Weaknesses
    Exposed to geopolitical and tariff risks.
    Comparison
    Offers more upside than defensive sectors in a rolling-recovery and capex cycle.
    Risks
    Trade policy, tariffs, global demand, and delayed capital spending.
  • Financials
    Overweight sector
    Strengths
    Banks are well capitalized, loan growth and SLOOS signals point to improving momentum, mid-cap and regional banks should benefit, and M&A activity may recover.
    Weaknesses
    Sensitive to rates, the credit cycle, and regulatory changes.
    Comparison
    The report believes positioning is extremely light, and excess capital plus the earnings-upside narrative are not yet fully reflected.
    Risks
    Credit deterioration, less favorable-than-expected regulatory revisions, and pressure from the yield curve or funding costs.
  • Consumer Discretionary Goods
    Overweight sector
    Strengths
    Higher-income consumer exposure, roughly $65 billion of real income tailwind, a wallet-share shift from services to goods, improving pricing, and technical support.
    Weaknesses
    Still affected by energy prices, consumer confidence, and income dispersion.
    Comparison
    The report prefers consumer discretionary over consumer staples, which are more sensitive to energy prices.
    Risks
    Higher gasoline prices, weakness among lower-income consumers, tariffs, and a softer labor market.
  • Consumer Staples
    Underweight sector
    Strengths
    Defensive characteristics could provide relative support if risk appetite falls sharply.
    Weaknesses
    Dragged by tariffs, commodity costs, low immigration, and weakness among lower-income consumers, and also more sensitive to energy prices.
    Comparison
    Expected to lag consumer discretionary and cyclical sectors during a rolling recovery.
    Risks
    If the economy weakens again, the underweight to defensives could underperform the strategy's expectations.
  • Real Estate
    Underweight sector
    Strengths
    May receive temporary support if rates decline or financing conditions improve.
    Weaknesses
    The report sees a shift from rolling recession to recovery, reducing the relative appeal of defensive and rate-sensitive sectors such as real estate.
    Comparison
    The earnings-acceleration logic is weaker than for Industrials, Financials, and Consumer Discretionary Goods.
    Risks
    The rate path, credit conditions, and asset revaluation.
  • Technology and hyperscalers
    Equal weight, but with thematic appeal
    Strengths
    Wider AI adoption boosts labor productivity; CIO surveys expect tech spending to rebound in 2026; hyperscale cloud providers have strong forward earnings and undemanding valuations.
    Weaknesses
    Large companies make up a high share of sector weight and may crowd out smaller-company performance.
    Comparison
    The report says hyperscale cloud providers are attractive relative-value trades.
    Risks
    AI capex returns falling short of expectations, valuation re-rating, and a slowdown in tech spending.
  • Healthcare
    Equal weight sector
    Strengths
    Relative valuation is at the bottom quintile of its historical range, policy pressure has eased somewhat, and biotech usually performs well 6 to 12 months after rates fall.
    Weaknesses
    Affected by policy, drug-approval, and pricing uncertainty.
    Comparison
    More attractive valuations than other defensive sectors, and generally back on investors' radar.
    Risks
    CMS pricing, PDUFA timing, tariffs, or changes to MFN policy.
  • Utilities
    Equal weight sector
    Strengths
    Benefiting from the GenAI theme and demand for energy capacity, with the importance of reliable power supply rising.
    Weaknesses
    Highly differentiated internally, with large gaps between AI-linked utilities and traditional energy suppliers.
    Comparison
    An extension theme of AI-related energy demand, but not as explicitly overweighted as Industrials and Financials.
    Risks
    Higher rates, regulated returns, project execution, and grid-investment cycles.
  • Energy
    Equal weight sector
    Strengths
    Free cash flow yield is above historical averages, net debt/EBITDA is below long-term operating levels, and hedge fund net exposure is low.
    Weaknesses
    Energy stocks have lagged as investors move away from peak uncertainty.
    Comparison
    Could reassert outperformance if geopolitical tensions rise again.
    Risks
    Falling oil and gas prices, easing geopolitical tensions, and changes in capital discipline.
  • Materials
    Equal weight sector
    Strengths
    The start of a new capex cycle could be a catalyst.
    Weaknesses
    Highly dependent on global growth and commodity prices, which may not recover in step with the U.S. rebound.
    Comparison
    It has cyclical exposure, but the domestic-demand and capex chain is less certain.
    Risks
    Slower global growth, lower commodity prices, and a stronger dollar.

Key data

  • 2026 S&P 500 EPS forecast339美元The report says this implies 23% growth.
  • 2027 S&P 500 EPS forecast380美元The report says this implies 12% growth.
  • 2028 S&P 500 EPS forecast429美元The report says this implies 13% growth.
  • Russell 3000 median stock EPS growth2026年1季度约10%The chart shows a steady recovery from roughly -11% in 4Q23.
  • Cyclicals/defensives relative ratio160.14As of 2026-05-06, above the 200-day moving average of 133.814.
  • Morgan Stanley market sentiment indicator0.36As of 2026-05-06, slightly above neutral.
  • S&P 500 earnings revision breadth约+20%The chart shows a strong rebound from the April 2025 trough, approaching the upper end of the range by May 2026.

Impact & implications

If the report's view plays out, U.S. equity investing should focus more on cyclical opportunities driven by earnings upgrades, capital spending, industrial demand, financial credit, and a recovery in consumer discretionary spending, rather than simply holding defensive sectors. The impact of the AI theme also extends from large-cap tech leaders to data center buildout, productivity gains, energy capacity, and the capital-expenditure cycle. From a valuation perspective, the U.S. equity risk premium remains near historical lows, which means earnings growth must continue to materialize to support further market upside.

Risks

  • U.S. equity risk premium remains near historical lows, leaving the market highly dependent on earnings delivery.
  • Geopolitical and tariff risks could hit Industrials, Consumer sectors, and supply chains.
  • Higher energy prices could pressure consumers and increase cost pressure on Consumer Staples.
  • Weakness among lower-income consumers, slower immigration, and commodity-cost pressure could weigh on consumption.
  • If AI capex or productivity gains come in below expectations, the Technology, Industrials, and Utilities themes could weaken.
  • If global growth and commodity prices fail to follow the U.S. recovery, globally sensitive sectors such as Materials may come under pressure.
  • The report discloses that Morgan Stanley may have business relationships with covered companies, so research objectivity could be affected by potential conflicts of interest.

What to watch

  • Whether 2026 and 2027 S&P 500 EPS revisions continue to move higher.
  • Whether S&P 500 earnings revision breadth can stay in positive territory.
  • Whether the cyclicals/defensives ratio remains above the 200-day moving average.
  • Whether capital spending, freight spending, C&I lending, and short-cycle revenue in Industrials continue to improve.
  • The pace of loan growth, SLOOS, capital-regulatory revisions, and M&A recovery in banks.
  • Higher-income consumption, gasoline prices, real income tailwinds, and the shift in spending from services to goods.
  • AI-related capital spending, CIO expectations for tech spending, data center construction, and energy-capacity demand.
  • Market sentiment, investor leverage, liquidity, and U.S. interest-rate conditions.
Zhejiang ICP No. 2022035445-5
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