The cycle is entering mid-cycle, and market leadership is shifting from low quality and semiconductor momentum toward earnings quality

Overview

The report concludes that the U.S. economy and equity market are undergoing a transition from early cycle to mid-cycle. As post-recession operating leverage effects fade, market pricing will shift from low-quality and high-beta assets toward earnings stability, margins, free cash flow, and operating efficiency. The recent historic momentum drawdown may have bottomed, but the sector and style composition within momentum strategies is being reshaped. The report remains bullish on the S&P 500 Index through year-end 2026 and views high-quality companies, hyperscale cloud platforms, and adopters that can improve growth and margins through AI as the main beneficiaries.

Core views

First, mid-cycle environments typically favor the quality factor, with median earnings growth rising to 14% and high-frequency earnings revision breadth turning higher again, supporting index resilience and broader market participation. Second, three-month momentum already indicates that software, insurance, medical equipment and services, as well as sales stability and high gross margin factors, are strengthening, while semiconductors, tech hardware, small caps, and high accrual factors are weakening. Third, after a sharp drawdown, semiconductors may see a short-term rebound by analogy with silver stocks, but slowing earnings revision momentum, cyclical characteristics, and falling momentum weights limit their ability to sustain leadership. Fourth, hyperscale cloud platforms combine low relative valuations, both AI infrastructure and application attributes, strong core businesses, and cost-reduction optionality, offering better risk-reward than semiconductors over the coming months. Fifth, the AI capital spending cycle still has considerable room to run, but investors will more strictly differentiate returns on investment, monetization ability, capital spending communication, and asset quality.

Analysis framework

The report combines business cycle positioning, quality and momentum factor analysis, comparisons of three-month and twelve-month price momentum weights, earnings growth and revision breadth, historical sector analogies, forward valuation percentiles, AI return on investment, and enterprise AI adoption metrics. At the single-stock level, it builds a more concentrated screening list of AI adopters by analyzing AI's quantifiable contribution to revenue, productivity, margins, and capital efficiency.

Methodology notes

• Macro and Market CycleBusiness Cycle Phase Analysis

  Transition from early cycle to mid-cycle

  Determines the cycle phase through operating leverage, central bank policy status, earnings dispersion, and industry leadership, and derives the relative performance of the quality factor accordingly.

• Quantitative FactorsQuality Factor Analysis

  Earnings stability, margins, and free cash flow

  Uses sales stability, low sales volatility, high gross margins, and operating efficiency as important sources of potential excess returns in mid-cycle environments.

• Quantitative FactorsMulti-Horizon Momentum Comparison

  Differences between three-month and twelve-month momentum weights

  Uses changes in sector and factor weights of shorter-horizon momentum relative to longer-horizon momentum to identify potential forward-looking rotations in leadership.

• Earnings AnalysisEarnings Revision Breadth

  Market breadth of upward earnings estimate revisions

  Combines median single-stock earnings growth and high-frequency earnings revision breadth to measure whether the rally is broadening from a small number of heavyweight stocks to a wider set of companies.

• Historical AnalogySemiconductor and Silver Stock Performance Analogy

  Historical price path analogy

  Uses the past correction path of silver stocks as an analogy for semiconductor performance, inferring that semiconductors may rebound first and then continue to trade sideways or underperform the broader market; this method relies on path similarity and has lower certainty than fundamental analysis.

• Valuation and ReturnsForward P/E and Return on Invested Capital Analysis

  Valuation discount and AI investment returns

  Assesses the forward valuation percentile of hyperscale cloud platforms, implied expectations for future earnings growth, and whether AI capital spending can generate returns through revenue growth, adoption rates, and efficiency gains.

• Stock ScreeningConcentrated AI Adopter Screening

  Quantifiable operating benefits from AI adoption

  Combines analyst feedback to screen for companies that can use AI to improve product development, customer service, revenue growth, gross margins, or workforce efficiency.

Asset mapping & comparison

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

• S&P 500 Index

  Core bullish asset

  Strengths

  High-quality companies have a weight of about 42%, and earnings growth and revision breadth are improving, supporting index resilience and broader participation.

  Weaknesses

  A larger high-quality weight may also make the index more sensitive to long-duration valuations and changes in interest rates.

  Comparison

  Compared with low-quality and early-cycle assets, the mid-cycle environment is more favorable to its quality structure.

  Risks

  Rapid rise in long-end rates, surging oil prices, escalation of war, and uncertainty in Federal Reserve communication.

• Hyperscale cloud platforms

  Preferred allocation area over the coming months

  Strengths

  Relative valuations are at low percentiles, core businesses are resilient, and they also offer AI infrastructure, application-layer growth, and expense-reduction optionality.

  Weaknesses

  Capital spending is large, and the market needs clearer monetization paths and evidence of returns on investment.

  Comparison

  Risk-reward is better than semiconductors over the next three months, and equal-weighted performance has already led by nearly 20% over the past 4 weeks.

  Risks

  Imbalanced capital spending communication, returns on investment below expectations, compute capacity constraints, and significant dispersion among individual stocks.

• Semiconductors

  Short-term rebound, medium-term caution

  Strengths

  After a historic momentum unwind, positioning has been partly cleared, and a strong technical rebound may occur over the coming weeks.

  Weaknesses

  They are an early-cycle sector, earnings revision breadth is slowing from high levels, and momentum factor weights are declining.

  Comparison

  Short-term beta may be higher than hyperscale cloud platforms, but sustained performance over the coming months may lag the latter and the S&P 500 Index.

  Risks

  Tightening capital spending discipline, downward earnings estimate revisions, failure of the historical analogy, and renewed volatility after a rebound.

• High-quality stocks

  Main beneficiaries of the mid-cycle

  Strengths

  Stable earnings, high margins, and strong free cash flow enable them to maintain better performance as operating leverage weakens.

  Weaknesses

  If the market shifts back toward high-beta or strongly cyclical trades, short-term relative performance may come under pressure.

  Comparison

  Compared with low-quality stocks, they better align with the historical leadership characteristics of mid-cycle environments and policy shifting from rate cuts to a pause.

  Risks

  Excessively rapid valuation expansion, a clear slowdown in macro growth, or a reversal in liquidity preferences.

• Select AI adopters

  Structurally bullish area

  Strengths

  AI has begun translating into productivity, product iteration, revenue growth, and margin improvement, and can also validate returns on infrastructure investment from the application side.

  Weaknesses

  There are differences in enterprise adoption speed, data quality, and the extent of organizational process transformation.

  Comparison

  Compared with infrastructure trades that rely only on capital spending growth, adopters have more direct evidence of operating efficiency.

  Risks

  Adoption slower than expected, savings not sustainable, regulatory and model risks, and competition leading to commoditization of AI capabilities.

• META

  AI adopter screening name, but facing short-term differentiation pressure

  Strengths

  Agentic coding has improved engineer output, and internal efficiency tools plus search, interface, subscription, and advertising businesses provide multiple upside options.

  Weaknesses

  The balance between capital spending and sales growth still needs clearer explanation.

  Comparison

  Recent performance has lagged MSFT and AMZN, reflecting the market's differentiated pricing of capital spending quality among hyperscale cloud platforms.

  Risks

  Capital spending uncertainty, delays in realizing returns on investment, and further market valuation downgrades.

• Software, insurance, and medical equipment and services

  Areas with rising momentum weights

  Strengths

  Three-month relative to twelve-month momentum weights have risen significantly, consistent with rotation toward quality and earnings stability.

  Weaknesses

  Some names may already reflect short-term fund rotation.

  Comparison

  Recent momentum changes are better than semiconductors, tech hardware, and capital goods.

  Risks

  Insufficient rotation persistence, weakening earnings expectations, or interest rate changes causing intra-industry dispersion.

• U.S. long-duration Treasury yields

  Key risk variable for U.S. equities

  Strengths

  If yields rise moderately alongside manufacturing strength and nominal growth, history suggests this is not necessarily negative for equities.

  Weaknesses

  Rapid increases in long-end yields and bond volatility raise the cost of capital.

  Comparison

  Two-year yields are falling while the long end remains elevated, forming a steeper yield curve.

  Risks

  10-year yields quickly approaching 5%, inflation expectations becoming unanchored, and insufficient Federal Reserve communication.

Key data

• S&P 500 Index year-end target8,000The report believes quality rotation and earnings breadth will support the index reaching this level by year-end 2026.
• Share of high-quality companies in the S&P 500 IndexAbout 42%Higher than the approximately 28% share of low-quality companies, helping strengthen overall index resilience.
• Median single-stock earnings growth14%Earnings growth is accelerating, and high-frequency earnings revision breadth has also rebounded significantly.
• Recent performance of hyperscale cloud platforms relative to semiconductorsNearly 20% ahead on an equal-weighted basis over the past 4 weeksThe report expects the relative outperformance trend may continue over the coming months.
• Forward valuation of hyperscale cloud platformsAround the 3rd percentile since 2023Indicates the group has significantly de-rated, but dispersion in valuations and credit spreads among individual stocks has widened.
• Change in relative net margin of AI adoptersUp 50 basis points over three monthsTheir net margins are currently nearly 400 basis points above the broader market.
• Recent additional drawdown in semiconductorsAbout 15%Performance is close to the silver stock historical analogy used in the report, suggesting a trading rebound may come first.
• META engineer output improvementUp 30% since early 2025Mainly driven by adoption of agentic coding tools; potential cost reduction is estimated at $3 billion to $13 billion.
• META potential incremental earningsAbout $10 increase in 2028 EPSEquivalent to roughly 30% upside versus the report's base case, with sources including search, interfaces, subscriptions, and advertising opportunities.
• AMZN AWS growth forecast35% growth in 2026 and 40% growth in 2027The report believes the forecasts may still be conservative and expects related backlog to increase significantly in the second quarter of 2026.
• GOOGL Google Cloud growth forecast77% growth in the second quarter of 2026 and 78% for the full yearKey drivers are Gemini Enterprise adoption and TPU sales, while the main tactical risk is compute capacity constraints.
• Potential long-end rate risk threshold10-year Treasury yield near 5%If yields move sharply higher in the short term, tighter financing conditions could weigh on the S&P 500 Index.

Impact & implications

In asset allocation, investors should shift from simply chasing high momentum and early-cycle beta toward companies with stable earnings, high gross margins, ample cash flow, and continuously improving operating efficiency. The AI theme is not over, but the market will move from broad-based gains to structural differentiation around return on investment, enterprise adoption, capital spending discipline, and monetization ability. In the short term, oversold rebounds in semiconductors may be worth watching, but over the medium term it is more appropriate to hold hyperscale cloud platforms and adopters that can demonstrate AI-driven revenue or margin improvement. If long-end rates and oil prices remain contained, earnings breadth is expected to support new highs in the S&P 500 Index; if the 10-year Treasury yield quickly approaches 5% or war pushes up energy prices, the market consolidation period may be extended.

Risks

• Escalation of the Iran conflict or sustained disruption of the Strait of Hormuz, driving oil prices sharply higher and compressing corporate margins.
• Accelerated rise in 10-year or 30-year Treasury yields, especially the 10-year yield approaching 5% in the short term.
• Limited communication from new Federal Reserve Chair Warsh, with markets potentially forcing a policy response through higher bond volatility.
• AI capital spending lacking clear monetization and evidence of returns on investment, causing further de-rating of hyperscale cloud platforms and beneficiary supply chains.
• A semiconductor trading rebound failing to persist, with earnings revision breadth continuing to decline and weighing on the AI infrastructure sector.
• Enterprise AI adoption slower than expected, making productivity and margin improvements difficult to realize.
• Quality rotation and earnings breadth weaker than expected, with the market reconcentrating in a few heavyweight stocks.
• Persistently high inflation prompting the Federal Reserve to adopt stricter policy than the market expects.

What to watch

• Whether earnings growth and market participation can continue to broaden as the S&P 500 Index advances toward 8,000.
• Whether high-frequency earnings revision breadth and median single-stock earnings growth continue to improve.
• As three-month momentum transmits to twelve-month momentum, whether software, insurance, and healthcare can replace semiconductors as leadership areas.
• The duration of the semiconductor rebound and whether its performance relative to the S&P 500 Index weakens again.
• Latest guidance from hyperscale cloud platforms on capital spending, AI revenue, returns on investment, and expense discipline.
• Whether enterprise AI tool adoption, token usage, and quantifiable productivity gains accelerate.
• Valuation, credit spread, and operating performance dispersion among META, MSFT, AMZN, GOOGL, and ORCL.
• Whether the 10-year Treasury yield quickly approaches 5%, and whether bond market volatility and financing markets remain stable.
• Oil prices, the Strait of Hormuz situation, and their impact on inflation expectations.
• Warsh's policy reaction function and changes in communication before the next Federal Open Market Committee meeting.