Market Recap · Macro · May 8, 2026
The market is cooling under the semis.
Markets enter Friday with a strange but familiar tension. The economy is clearly cooling, but equities have not broken. That sounds contradictory until you look beneath the index level. This is not a broad cyclical melt-up driven by improving growth, easier policy, and expanding participation. It is a narrower market being carried by a few powerful themes: semiconductors, AI infrastructure, quality mega-cap earnings, and the idea that the slowdown can remain orderly enough to avoid an earnings recession.
That distinction matters. The market is not saying the macro backdrop is perfect. It is saying the AI cycle is strong enough, and earnings quality is concentrated enough, to keep index momentum alive while the rest of the economy decelerates. J.P. Morgan Asset Management notes that 85% of S&P 500 companies have beaten expectations so far this earnings season, the strongest beat rate since the second quarter of 2021, while technology sectors have driven 45% of the market's gains.1 That is the story in one sentence: earnings have been good enough, but leadership has been narrow enough that investors should not confuse index strength with broad economic strength.
Friday's employment report is the main event, but the market does not need a heroic number. It needs a boring one. Consensus is looking for roughly 55,000 jobs added in April with the unemployment rate holding at 4.3%, a sharp slowdown from March's 178,000 gain but not an obvious recession signal by itself.23 The cleanest outcome would be modest payroll growth, stable unemployment, cooler wages, steady participation, and no ugly downward revisions.
The house view remains constructive but selective. The market can keep working if labor cools without cracking and inflation does not re-accelerate. But broad beta looks less attractive than targeted exposure to quality growth, semiconductors, AI infrastructure, power and electrical equipment, cybersecurity, defense, and high-quality defensives. The market is not cheap enough to ignore the slowdown, and the slowdown is not severe enough to abandon the structural winners.
Chart 1 — The cooling-under-semis divergence
S&P 500 grinding higher while macro composite cools — the gap is the AI / earnings trade
S&P 500 indexed up ~11% YTD; the macro-composite (ISM new orders, payrolls 3-mo avg, retail sales, JOLTS hires — equal-weighted, indexed) drifting down ~5%. The gap is what the AI capex cycle and concentrated earnings beats have paid for. Source: BLS, ISM, Census, Yahoo Finance; author indexing.
The market is strong, but not for broad reasons
Chart 2 — Semis vs Hyperscalers YTD
Semis +24% vs Hyperscalers +5% — 19-point spread says spending flows down the supply chain
Semiconductor EPS has grown faster than hyperscaler EPS in 2026 because AI spending is paid up the supply chain — chips, memory, networking, custom silicon — before it shows up in cloud revenue. Investors are buying the suppliers, not the spenders. Source: J.P. Morgan Asset Management, 1Q26 Earnings Bulletin.
The most important question this week is not simply whether the market is going up. It is why the market is going up. That answer is more nuanced than the index chart suggests.
If someone only looked at the major indices, they could reasonably conclude that investors are still trading a soft landing. Earnings are better than feared, the labor market has not rolled over, and the AI capex cycle remains one of the cleanest growth stories available. That is all true. But the market underneath is telling a more selective story. Semiconductors have become the release valve for investors who still want growth exposure but do not want to own everything tied to the old economic cycle.
J.P. Morgan notes that semiconductors are up 24% year to date and have outperformed hyperscalers by 19 percentage points, while semiconductor EPS has grown far faster than hyperscaler EPS as AI spending flows down the supply chain.1 That does not make the rally fake. It makes the rally specific. Investors are not buying every cyclical business because they think the economy is reaccelerating. They are buying the parts of the market where demand is still being driven by a structural investment cycle rather than by the next consumer spending print.
That is why the “market keeps pumping because of semis” explanation is directionally right, but incomplete. Semis are not the only reason the market is holding up, but they are the clearest expression of the market's current preference. Investors want businesses tied to AI infrastructure, durable earnings, and capital spending that does not disappear just because GDP slows from “good” to “fine.” The market is cooling underneath, but the AI complex is still hot enough to keep the index from looking as tired as the macro data feel.
The risk is that this setup can look healthier than it is. A narrow rally can last longer than skeptics expect because the winners keep compounding. But it also leaves the market more vulnerable to two things: higher yields and disappointment in the AI capex narrative. If Friday's jobs report comes in too hot, the rates market can pressure long-duration growth. If it comes in too weak, investors may start asking whether AI leadership is strong enough to offset a broader earnings slowdown.
The macro data are cooling, not collapsing
Chart 3 — April ISM Services breakdown
Headline still in expansion; new orders rolled hard; prices stuck at multi-year high
All three readings are above 50 (still expansion), but the diagnosis is uncomfortable: the slowdown is real (new orders rolled 7 points), and disinflation is not cooperating (prices stuck at 70.7). That’s the wrong combination for the Fed — growth slows but services inflation doesn’t. Source: Institute for Supply Management, April 2026 release.
This week's data were not bad. They were just not clean enough to let investors relax.
The ISM Services PMI came in at 53.6 for April, down slightly from March but still in expansion for the 22nd consecutive month.4 Business activity rose to 55.9, which says the service economy is still moving, but new orders fell to 53.5 from 60.6, suggesting some of March's strength may have been pulled forward ahead of higher prices.4
The price line was the uncomfortable part. The ISM Services Prices Index held at 70.7, matching March and remaining at its highest level since October 2022, with diesel, gasoline, oil, and related costs among the most frequently cited sources of price pressure.4 That is not the combination the Fed wants. Growth is slowing, but input costs are not giving policymakers a clean disinflation signal.
Labor data told a similar story. JOLTS showed job openings unchanged at 6.9 million in March, hires rising to 5.6 million, quits little changed at 3.2 million, and layoffs little changed at 1.9 million.5 That is not a labor market in free fall. It is a labor market where employers are becoming more cautious, workers have less leverage than they did during the hottest part of the cycle, and the balance is shifting slowly rather than suddenly.
Weekly claims also refused to validate a recession narrative. Initial claims rose to 200,000 in the week ending May 2, but the four-week average fell to 203,250, and continuing claims declined to 1.766 million for the week ending April 25.6 That matters because claims are usually where a true labor-market break starts to show up. For now, the economy looks slower-hiring, not firing-cycle.
The best summary is that the economy is moderating, not cracking. That is still a constructive setup for equities if inflation keeps moving lower. The issue is that inflation is not cooperating fast enough. The market wants a softer labor market because it wants lower yields. The Fed wants a softer labor market only if it comes with lower wage pressure and cleaner services inflation. Those are not the same thing.
What we are looking for in Friday's jobs report
Chart 4 — Monthly nonfarm payrolls trajectory
From a Feb 2026 contraction to March recovery to consensus 55k for April — the cooling trend is clear
Goldilocks for Friday is a print at or near +55k with stable 4.3% unemployment and clean revisions. Above +100k pressures yields and complicates Fed easing; below +20k or a negative print starts pricing in earnings recession risk. The market wants “boring,” not heroic. Source: BLS Establishment Survey, Investopedia consensus estimate.
The market wants Goldilocks, but Goldilocks has a narrower definition now.
The ideal payroll report would show job growth close to consensus, unemployment steady at 4.3%, wage growth cooling but not collapsing, participation stable, and revisions that do not quietly rewrite the last two months lower. In plain English, the market wants evidence that employers are slowing hiring because they are cautious, not because demand is falling apart.
The headline payroll number matters, but the revisions may matter more. March payrolls rose 178,000 after February was revised to a 133,000 loss, while January and February combined were revised 7,000 lower in the last report.3 If April lands near consensus but prior months are revised sharply lower, the market may treat the report as weaker than the headline suggests.
The wage line is the second hinge. ADP's April report showed private employment rising by 109,000, with annual pay up 4.4% for job-stayers and 6.6% for job-changers.7 That is not alarming by itself, but it keeps the Fed focused on whether wage gains are cooling enough to reduce services inflation pressure.
The sector mix will matter too. Health care carried a large share of March job growth, while federal government employment continued to decline and financial activities softened.3 A report supported only by defensive hiring and government noise would not have the same quality as broader private-sector resilience.
The best case is not a boom. A blowout number would likely push yields higher and make the Fed's higher-for-longer stance easier to defend. The best case is a slow, boring, internally consistent report that lets investors say: growth is cooling, inflation pressure is easing, and earnings are not about to fall off a cliff.
What Wall Street might not be thinking about yet
Chart 5 — 2026 hyperscaler AI capex estimates
From $527B (Goldman) to $700B (Fortune, 4 hyperscalers) — the bar keeps moving up
Two estimates because they measure different things: Goldman’s $527B is total AI infrastructure investment globally; Fortune’s $700B is the four largest US hyperscalers (MSFT, GOOG, META, AMZN) combined. Both numbers up materially YoY. The data-center electrical-equipment market goes from $20B to $65B by 2030 (Wood Mackenzie). The AI trade is moving from chips into power, grid, and physical infrastructure. Source: Goldman Sachs, Fortune, Wood Mackenzie.
The consensus debate is still too focused on whether Friday's number is good or bad. The better question is what kind of good or bad the market can actually absorb.
Issue one: a soft print is not automatically bullish. A modest miss with stable unemployment, cooler wages, and clean revisions probably helps the soft-landing narrative. A weak print with rising unemployment, lower hours, and ugly revisions becomes an earnings risk before it becomes a Fed-cut story.
Issue two: semiconductors are carrying more than just the tech trade. They are carrying the market's belief that a structural AI cycle can overpower cyclical cooling. That belief is reasonable, but it is not risk-free. Goldman Sachs estimates that consensus 2026 hyperscaler capex has moved up to 527 billion dollars, while Fortune reports that Alphabet, Amazon, Meta, and Microsoft are projected to surpass 700 billion dollars of combined 2026 capex.89 Those numbers support the thesis, but they also raise the bar. Once the market prices in a durable boom, “still spending” may not be enough. Investors will eventually ask who earns the return on that spending.
Issue three: the AI trade is moving from chips into power. Wood Mackenzie estimates the U.S. data center electrical equipment market can grow from 20 billion dollars to 65 billion dollars by 2030, while U.S. data center capacity is expected to rise from roughly 24 GW in 2026 to 110 GW in 2030.10 That turns AI into a grid, equipment, transformer, switchgear, cooling, and utility-interconnection story. The market may still be underestimating how much of the next leg of AI spending happens outside the most obvious semiconductor names.
Issue four: Fed governance is still a real market variable. Powell is expected to remain on the Board after his chair term ends, Warsh is expected to face confirmation the week of May 11, and the most recent FOMC vote included four dissents, the highest count since October 1992.11 If sticky services prices meet a politically pressured Fed transition, the long end of the curve may start pricing credibility risk before the front end prices a dramatic change in policy.
Investment thesis
Chart 6 — Where to be positioned
Three lenses for sector picks: AI exposure, earnings durability, balance-sheet strength
The framework is selectivity, not avoidance. Bar length reflects conviction within the overweight (and underweight) buckets. Semis and AI infrastructure remain the cleanest expression of the three filters; broad cyclicals fail two of three at this point in the cycle. Source: author framework, J.P. Morgan house view, Wood Mackenzie data center research.
The investment thesis is that this is still a constructive market, but it is no longer an easy market. The index can grind higher if the labor market cools in an orderly way and earnings estimates remain intact. But the leadership profile argues for selectivity rather than broad risk-taking.
Our view is that broad market beta is less compelling than exposure to companies with three traits. First, durable earnings that do not require a perfect macro backdrop. Second, balance-sheet flexibility, because higher-for-longer rates punish businesses that need cheap capital to defend growth. Third, structural demand drivers that are not fully dependent on the next quarter of GDP.
AI infrastructure still fits that framework, especially semiconductors, memory, networking, custom silicon, and power-related beneficiaries. MU remains one of the cleaner ways to express the memory and HBM part of the AI trade. NVDA remains the compute anchor. AMD remains the earnings-sensitive challenger. AVGO remains important because custom silicon and connectivity are becoming more central as hyperscalers try to improve cost and performance across the stack.
The second-order AI power trade may be even more interesting for investors who do not want to chase the most crowded front-end names. Electrical equipment, power distribution, backup systems, cooling, utility interconnection, and data-center construction all sit behind the same capex cycle but may have different valuation and positioning dynamics.
Cybersecurity and defense also deserve attention. Both themes benefit from a world where geopolitical risk, infrastructure vulnerability, and government spending visibility remain elevated. They may not have the same upside as the hottest AI names, but they can offer cleaner earnings durability in a market where macro visibility is getting worse.
Quality healthcare and defensive growth belong on the watchlist as well. If Friday shifts the market from inflation risk toward growth risk, cash flow, pricing power, product-cycle durability, and balance-sheet quality should matter more than pure momentum.
Macro-level options ideas for this setup
These are not recommendations, but they are reasonable structures traders often consider when the market is waiting on labor data, rates volatility, and concentrated leadership.
A long straddle or strangle on SPY or QQQ is the cleanest event-volatility expression if payrolls can trigger a larger-than-priced move in either direction. The risk is paying too much premium into a known catalyst and then getting hit by post-event volatility compression.
A put spread on QQQ or another duration-sensitive growth vehicle makes sense if the larger risk is a hot payroll number or sticky wage data. The point is that higher yields can pressure long-duration equities even if the AI earnings story remains intact.
A call spread on semiconductors or high-quality AI infrastructure makes more sense if the report lands in the Goldilocks zone: soft enough to contain yields, but not so weak that recession risk takes over.
For investors who want a less directional expression, the relative-value version may be cleaner: own quality AI infrastructure, cybersecurity, defense, or durable healthcare against weaker cyclicals and companies that need a rapid decline in rates.
Practical takeaway
The market is not pumping because everything is fine. It is holding up because semiconductors, AI infrastructure, and quality earnings are offsetting a cooling economy. That is a bullish story, but a selective one.
Friday's jobs report matters because it will tell us whether the slowdown is still orderly. A boring report keeps the soft-landing narrative alive. A hot report creates a rates problem. A very weak report creates an earnings problem. The worst mix would be weak growth with sticky wages, because that would leave investors with slower demand and a Fed that still cannot comfortably ease.
The better opportunity is not to chase the whole market blindly. It is to own the parts of the market where structural demand, earnings durability, and balance-sheet strength still matter: AI infrastructure, semiconductors, memory, power, cybersecurity, defense, and selective defensives.
The market is waiting for Friday morning. The better investors are already thinking about what the data will mean by Monday.
Sources
- J.P. Morgan Asset Management, “1Q26 Earnings: Chipenomics.” am.jpmorgan.com ↩
- Investopedia, “April 2026 Jobs Report Preview: Nonfarm Payrolls.” investopedia.com ↩
- Bureau of Labor Statistics, “Employment Situation.” bls.gov ↩
- Institute for Supply Management, “Services PMI — April 2026.” ismworld.org ↩
- Bureau of Labor Statistics, “Job Openings and Labor Turnover Survey (JOLTS), May 5, 2026 release.” bls.gov ↩
- U.S. Department of Labor, “Unemployment Insurance Weekly Claims Report.” dol.gov ↩
- ADP, “ADP National Employment Report: Private Sector Employment Increased by 109,000 Jobs in April; Annual Pay Was Up 4.4%.” mediacenter.adp.com ↩
- Goldman Sachs, “Why AI companies may invest more than $500 billion in 2026.” goldmansachs.com ↩
- Fortune, “Big Tech hyperscalers will spend $700 billion on AI infrastructure this year with no clear end in sight.” fortune.com ↩
- Wood Mackenzie, “Data center demand drives U.S. electrical equipment market to $65B, reshaping industry dynamics.” woodmac.com ↩
- KSAT/AP, “Unorthodox leadership change in the works at Fed: Warsh on deck while Powell remains.” ksat.com ↩
This is research and analysis only, not personalized financial advice. This commentary is for informational and educational purposes only and does not constitute investment, tax, or legal advice or a solicitation to buy or sell any security. Views expressed are the author's own and may not reflect those of any employer or affiliated institution. Past performance is not indicative of future results. Readers should conduct their own research and consult a qualified financial professional before making investment decisions. See disclaimer.