The dominant market narrative is shifting from Federal Reserve rate hikes to a higher probability of cuts as job growth slows and inflation cools. iCapital’s Dan Suzuki articulated this view on Bloomberg Open Interest on 9 July 2026, arguing that markets remain anchored to yesterday’s economic data. Suzuki explained why higher Treasury yields have not derailed stocks and why AI’s leadership and monetization path is moving away from semiconductor manufacturers toward the cloud hyperscalers making the massive investments.
Context — why this matters now
The last significant shift from a hawkish to a dovish Fed pivot occurred in Q4 2023, when the central bank paused after 11 consecutive hikes totaling 525 basis points. That pivot preceded a multi-month equity rally. The current macro backdrop features the S&P 500 near record highs while the 10-year Treasury yield holds above 4.2%, a level that historically pressures equity valuations.
The immediate catalyst for reassessing the Fed’s path is the consistent cooling in monthly non-farm payrolls data. Job creation has slowed from a 12-month average near 250,000 to recent prints clustering closer to 150,000. Concurrently, core PCE inflation, the Fed’s preferred gauge, has steadily descended toward the 2% target band over the past four quarters.
This cooling labor market reduces wage-driven inflationary pressures. It also alleviates the Fed’s primary concern that an overheating economy would force further restrictive policy. The unemployment rate’s climb to 4.3% in the June report provided a concrete signal that slack is emerging.
Data — what the numbers show
Federal funds futures markets now price a 65% probability of at least one 25-basis-point rate cut by the December 2026 FOMC meeting. This is a reversal from April 2026, when markets priced a 40% chance of another hike. The implied terminal rate for this cycle has fallen 30 basis points to 5.0% over the past six weeks.
The 10-year Treasury yield, a key benchmark for global asset pricing, has risen from 4.05% to 4.28% year-to-date. Despite this 23-basis-point increase, the S&P 500 has gained 8.5% over the same period, defying the typical inverse relationship. The Nasdaq 100’s performance is even stronger, up 12.1% YTD.
AI-related equities show a divergent performance. The PHLX Semiconductor Index (SOX) is up 15% YTD. However, the cloud hyperscaler cohort—Microsoft, Amazon, and Alphabet—collectively added over $1.2 trillion in market capitalization in the first half of 2026, outpacing chipmaker gains. Capital expenditure forecasts for these three firms exceed $180 billion for 2026, focused on AI data centers.
| Metric | Q2 2026 Level | Change vs. Q1 2026 |
|---|
| Avg. Monthly Payrolls | ~155,000 | Down ~45,000 |
| Core PCE Inflation | 2.3% | Down 0.2% |
| Fed Funds Futures (Implied Dec. Rate) | 5.0% | Down 0.3% |
Analysis — what it means for markets / sectors / tickers
The pivot narrative directly benefits rate-sensitive sectors. Homebuilders like D.R. Horton (DHI) and Lennar (LEN) typically lead, with analyst models showing a 15-20% EPS upside for each 50-basis-point reduction in mortgage rates. Regional banks (KRE ETF) also stand to gain as net interest margin pressure eases and credit concerns recede. Long-duration growth stocks, particularly in technology, would see expanded valuation multiples in a lower discount rate environment.
The primary risk to this outlook is a reacceleration of inflation, potentially from a geopolitical supply shock or a surge in energy prices. Another counter-argument is that the Fed may keep rates elevated for longer to definitively anchor inflation expectations, even amid slowing growth, risking a policy error. Historical data shows the Fed often pauses for 6-9 months before cutting, suggesting markets may be early.
Positioning data from CFTC reports shows asset managers have built substantial net long positions in 2-year Treasury futures, betting on falling short-term rates. Equity flow analysis indicates institutional money rotating out of pure-play AI chip designers and into the software and infrastructure layers of the ecosystem.
Outlook — what to watch next
The next major catalyst is the 31 July 2026 release of the Employment Cost Index for Q2, a critical gauge of wage inflation. The July CPI report on 13 August 2026 will confirm whether disinflation trends are intact. Fed Chair Powell’s scheduled testimony before Congress on 17 July 2026 could provide updated guidance ahead of the late-July FOMC meeting.
Key levels to monitor include the 10-year Treasury yield holding above 4.25%, a breach of which could signal sustained bearish sentiment on duration. For equities, the S&P 500 maintaining support above 5,600 is crucial for the bullish trend. A decisive move in the DXY dollar index below 104.50 would signal the market pricing in a dovish Fed divergence from other global central banks.
Frequently Asked Questions
How do slowing jobs affect Fed policy decisions?
The Federal Reserve has a dual mandate: maximum employment and price stability. Slowing job growth, especially when paired with a rising unemployment rate, signals the labor market is cooling from its overheated state. This reduces upward pressure on wages, a key input for services inflation. With inflation also cooling, the Fed gains flexibility to shift from restrictive policy to neutral, preventing unnecessary economic damage. The 4.3% unemployment rate is a key threshold.
Why haven't higher bond yields hurt the stock market rally?
Equity markets have discounted higher yields because corporate earnings growth, particularly from AI-driven productivity gains, has offset higher discount rates. S&P 500 earnings are projected to grow 11% year-over-year in 2026. the rise in yields has been driven more by strong economic growth expectations than by inflation fears, which is less detrimental to equity valuations. The rally has been narrowly led by mega-cap tech firms with strong balance sheets less sensitive to borrowing costs.
What is the difference between AI chipmakers and hyperscalers?
AI chipmakers like NVIDIA design and sell the semiconductors used for accelerated computing. Hyperscalers like Microsoft Azure, Amazon Web Services, and Google Cloud are the large-scale cloud providers that buy these chips in bulk to build AI data centers. The investment thesis is shifting because hyperscalers directly monetize AI through cloud service fees and software subscriptions (like Copilot), capturing more downstream value. Their massive capital expenditure, forecast at over $180 billion in 2026, is seen as an investment in future profit streams.
Bottom Line
The balance of economic data now favors Federal Reserve rate cuts over hikes, a pivot markets are beginning to price as job growth cools and inflation trends toward target.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.
