Note: This is a research note supplementing the book Unscarcity, now available for purchase. These notes expand on concepts from the main text. Start here or get the book.
Global Employment Statistics 2026: The Numbers Behind the Labor Cliff
What do you call an unemployment rate that fell to 4.2% in the same month 720,000 people stopped looking for work, payrolls added a feeble 57,000, and AI took the top spot in the layoff rankings for a fourth consecutive month?
You call it the calm before the storm, except the storm has arrived and the barometer is broken.
Read this as a crime scene report from the second wave of the Labor Cliff, the moment when AI (the Brain), robotics (the Body), and fusion energy (the Fuel) are making human labor economically obsolete. The 2025 numbers looked suspicious. The 2026 numbers are screaming.
For deeper analysis, see our companion articles:
- The 2025-2030 Labor Cliff: Full analysis of the automation wave
- Musk’s Universal High Income: The case for abundance beyond UBI
- The Humanoid Robot Revolution: 50,000 units shipping in 2026
- AI Coding Revolution: How AI is transforming software development
Last updated: August 1, 2026
The Headline Numbers: No Longer “Suspiciously Normal”
Global Overview (ILO 2026)
The ILO’s Employment and Social Trends 2026 report paints a picture of fragile stability masking deep dysfunction:
| Metric | Rate | The Spin |
|---|---|---|
| Global unemployment | 4.9% | “Stable!” |
| Global unemployed | 186 million | “Manageable” |
| Global jobs gap | 408 million | Wait, what? |
| Workers in extreme poverty | ~300 million | Earning < $3/day |
| Informal workers | 2.1 billion | No protections |
| Youth unemployment | 12.4% | 260M young people NEET |
That 408 million “jobs gap” (people who want paid work but cannot access it) is the number that headline unemployment rates are designed to hide. It’s more than double the 186 million “officially” unemployed. The gap is filled by people who’ve given up, who are underemployed, or who are trapped in the informal economy below any statistical radar.
Nearly 300 million workers earn less than $3 a day. 2.1 billion hold informal jobs with no social protection, no rights, no security. Women account for just two-fifths of global employment and are 24% less likely than men to participate in the labor force.
The unemployment rate says “everything’s fine.” The jobs gap says the system is hemorrhaging.
Source: ILO Employment and Social Trends 2026, UN News
United States: The Numbers Drop the Pretense
March 2026 Employment Data: A Whipsaw, Not a Recovery
The Bureau of Labor Statistics March 2026 report showed a sharp rebound from February’s losses, but the underlying picture isn’t healthier:
| Metric | Rate | What It Actually Means |
|---|---|---|
| Overall unemployment | 4.3% | Down from 4.4%, but driven by labor force shrinkage |
| Nonfarm payrolls | +178,000 | Rebound from February’s -133,000 |
| Healthcare | +76,000 | Resumed adding after February’s strike-driven dip |
| Construction | +26,000 | Stable |
| Transportation/warehousing | +21,000 | Stable |
| Information sector | Trending down | AI displacement still visible |
| Federal government | Trending down | DOGE impact continuing |
| Real hourly earnings | +0.2% / +3.5% YoY | Lowest annual wage growth since May 2021 |
The 178K rebound looks like good news on the surface, but most of the unemployment-rate decline came from people leaving the labor force, not finding jobs. Wage growth at 3.5% YoY hit a five-year low, even as Big Tech doubled AI capex. Companies are paying less, hiring fewer, and shifting the savings into machines.
This follows a violent 2025-2026 trajectory:
- October 2025 saw -105,000 jobs, the first net monthly loss since the pandemic
- November 2025 added only +64,000 (below replacement rate)
- February 2026: -133,000 jobs (revised from initial -92,000 estimate)
- March 2026: +178,000 (the rebound)
- April 2026: +115,000 as first reported, revised up to +179,000, then back down to +148,000
- May 2026: +172,000 as first reported, revised down to +129,000
- June 2026: +57,000, roughly a third of replacement pace
Labor force participation: down to 61.5% as of June, meaning nearly 4 in 10 working-age adults aren’t in the workforce. They’re not counted as unemployed because they’ve stopped believing employment is possible.
Source: Bureau of Labor Statistics Employment Situation (March 2026), CNBC: March 2026 Jobs Report
April 2026: The Pattern Holds
April’s report (released May 8) confirmed the new normal: unemployment unchanged at 4.3% for the third straight month, payrolls up just +115,000, enough to beat a soft +55,000 forecast but well under the ~150,000 the economy needs each month just to keep pace with population growth.
| Metric | April 2026 | What It Actually Means |
|---|---|---|
| Overall unemployment | 4.3% | Flat for three months - a thermostat disconnected from the furnace |
| Nonfarm payrolls | +115,000 | Beat forecast, still below population-growth replacement |
| Health care | +37,000 | The economy’s last reliable engine |
| Transportation/warehousing | +30,000 | Logistics holding |
| Retail trade | +22,000 | Modest gains |
| Information | -13,000 | AI displacement still visible |
| Manufacturing | -2,000 | Soft |
| Federal government | Declining | DOGE aftershocks continue |
| Avg hourly earnings | +3.6% YoY | Wage growth still near multi-year lows |
| Labor force participation | 61.8% | Lowest since October 2021 |
The rate stays flat for a mechanical reason: the BLS only counts you as unemployed if you’re actively looking. The household survey showed 226,000 people leaving the labor force in a single month, sliding into gig work, early retirement, or school. Hiring across 2026 has averaged roughly 76,000 jobs a month, about half the replacement rate. The 4.3% holds because the people who can’t find work have stopped being counted, not because they found it.
Source: BLS Employment Situation (April 2026), CNBC: April 2026 Jobs Report
May 2026: Payrolls Beat, But the Rate Won’t Budge
May’s report (released June 5) delivered the year’s loudest upside surprise - +172,000 payrolls against an 80,000 consensus - even as the unemployment rate held at 4.3% for a fourth straight month. The BLS also revised the prior two months up by a combined 93,000: April climbed from the +115,000 reported last month to +179,000, and March to +214,000.
| Metric | May 2026 | What It Actually Means |
|---|---|---|
| Overall unemployment | 4.3% | Fourth straight month - the thermostat is still stuck |
| Nonfarm payrolls | +172,000 | Crushed the 80K forecast; gains in leisure/hospitality, local government, health care |
| Financial activities | Shed jobs | The one major sector to decline outright |
| Avg hourly earnings | +3.4% YoY | Wage growth still grinding lower |
| Labor force participation | 61.8% | Flat, still the lowest since October 2021 |
Correction, filed one month later. Those upward revisions did not survive the June report. The BLS revised April back down by 31,000 to +148,000 and May down by 43,000 to +129,000. Last month’s “loudest upside surprise” was a statistical artifact that lasted four weeks. This is worth sitting with, because it is now a pattern: the initial print gets celebrated, the revision arrives quietly, and the revised trend is consistently weaker than the trend anyone reported at the time. If you are reading a jobs number the week it lands, you are reading a first draft.
Source: BLS Employment Situation (May 2026), CNBC: May 2026 Jobs Report
June 2026: The Rate Falls for the Worst Possible Reason
June’s report (released July 2) finally broke the 4.3% streak — downward, to 4.2%. It is the least encouraging good number of the year.
| Metric | June 2026 | What It Actually Means |
|---|---|---|
| Overall unemployment | 4.2% | Fell only because 720,000 people left the labor force |
| Nonfarm payrolls | +57,000 | Missed the 115,000 consensus by half |
| Labor force participation | 61.5% (-0.3pp) | New post-2021 low |
| Employment-population ratio | 59.0% (-0.2pp) | Fewer adults working, full stop |
| Professional/business services | +36,000 | Month’s largest gain |
| Social assistance | +25,000 | Care work, again |
| Health care | +22,000 | The economy’s last reliable engine |
| Leisure and hospitality | -61,000 | Weak seasonal hiring wiped out the rest |
| April revision | -31,000, to +148,000 | Weaker than reported |
| May revision | -43,000, to +129,000 | Weaker than reported |
Three-quarters of a million people left the labor force in a single month, and the reward was a headline that ticked down a tenth of a point. This is the mechanical dishonesty at the center of the unemployment rate: it measures the ratio of people looking for work to people working, so mass discouragement and mass hiring move it the same direction. The employment-population ratio, which cannot be gamed this way, fell.
And note where the jobs went. The gains were professional services, social assistance, and health care — human-contact work and paperwork. The loss was leisure and hospitality, down 61,000 on soft seasonal hiring. The teenager’s summer job and the seasonal server, the two entry points that have absorbed displaced workers for sixty years, did not open this year.
Source: BLS Employment Situation (June 2026), CNBC: June 2026 Jobs Report
European Union
| Region | Unemployment Rate | Youth Rate |
|---|---|---|
| Euro area | ~6.3% | ~14.5% |
| EU overall | ~5.9% | ~15% |
Nearly one in six young Europeans can’t find work. But sure, let’s keep pretending the system is working.
Other Major Economies
| Country | Unemployment Rate | Reality Check |
|---|---|---|
| Japan | ~2.5% | Aging population, not healthy economy |
| Germany | ~3.5% | Manufacturing in structural decline |
| United Kingdom | ~4.3% | Post-Brexit structural drag |
| China | ~5.0% | “Official” number (real youth rate hidden) |
| France | ~7.3% | Yellow vests weren’t wrong |
2025: The Year America Crossed 1.2 Million Layoffs
The Challenger Report: Full Year 2025
Challenger, Gray & Christmas delivered the obituary for “everything’s fine” with their year-end 2025 report:
| Metric | Figure | Context |
|---|---|---|
| Total 2025 US layoffs | 1.2 million | +58% vs. 2024 |
| Q4 2025 layoffs | Highest since 2008 | Financial crisis territory |
| YTD hiring (2025) | Lowest since 2010 | Companies aren’t replacing workers |
| #1 reason: DOGE impact | 293,753 jobs | +20,976 downstream |
| Government sector cuts | 308,167 | +703% vs. 2024 |
| #6 reason: AI explicitly | 54,694 jobs | The stated number (reality higher) |
1.2 million layoffs in a non-recession year, the highest outside of COVID since the Great Recession. Q4 layoffs hit levels not seen since the 2008 financial crisis. And year-to-date hiring fell to its lowest since 2010, meaning companies are cutting workers and not replacing them.
The DOGE effect alone accounts for nearly 315,000 jobs (direct + downstream). The government sector saw a 703% spike in job cuts compared to 2024. Federal contractors preemptively reduced headcount. Non-profits dependent on government funding shuttered programs. The ripple effects hit sectors that weren’t even on the automation radar.
Source: Challenger Year-End Report 2025, CNBC
2026: A New Kind of Layoff Cycle
If 2025 was alarming, 2026 is rewriting the playbook. January 2026 saw approximately 108,000 layoff announcements, a 118% increase over January 2025 and the highest January total since 2009.
Then March 2026 broke a darker barrier: AI became the #1 cited reason for U.S. job cuts for the first time in Challenger report history, with 15,341 cuts directly attributed to AI in March alone, 25% of the monthly total. February had attributed only 4,680 cuts to AI (~10% of total). The AI share of layoffs tripled in a single month.
| Month | Total Layoffs | AI-Attributed | AI % |
|---|---|---|---|
| Jan 2026 | ~108,000 | ~9,000 | ~8% |
| Feb 2026 | 48,307 | 4,680 | 10% |
| Mar 2026 | 60,620 | 15,341 | 25% |
| Apr 2026 | 83,387 | 21,490 | 26% |
| May 2026 | 97,006 | 38,579 | 40% |
| Jun 2026 | 45,849 | 14,029 | 31% |
| H1 2026 total | ~443,000 | 101,743 | ~23% |
April entrenched the trend rather than reversing it. Total announced cuts climbed to 83,387, and AI accounted for 21,490 of them (26%), the second consecutive month AI ranked as the top stated reason for layoffs. Two straight months above a quarter of all cuts reads as a baseline, not a spike. By the end of April, AI had been cited for 49,135 cuts in 2026, the third-leading reason overall and ~16% of all year-to-date cut plans, up from 13% through March. And the cuts spread well past the AI labs: PayPal and Ticketmaster both restructured around AI in April. That’s payments and ticketing, the boring middle of the economy rather than the frontier.
April 2026: Big Tech accelerated the substitution. Meta announced 8,000 layoffs (10% of workforce) on April 23, while simultaneously raising 2026 capex guidance to ~$135 billion (an 87% YoY jump, mostly AI infrastructure). Microsoft offered voluntary buyouts to ~7% of U.S. staff (potentially 8,750 employees). Snap cited “rapid AI advancements” as the explicit reason for its own cuts.
May 2026: the AI number set a record. The May Challenger report pushed the monthly total to 97,006 cuts, up 16% from April and the highest May since 2020 - a third straight monthly climb. AI was cited in 38,579 of them, or 40% of all May cuts - the largest monthly AI figure Challenger has ever recorded, and the third month running that AI led every stated reason. For 2026 so far, AI has been blamed for 87,714 cuts (22% of the year’s total), already past what it was blamed for in all of 2025. Technology drove the month with 38,242 cuts, its worst since August 2024, lifting the sector’s 2026 total to 123,653 - up 66% year over year.
June 2026: the volume dropped, the reason didn’t. June cuts cooled to 45,849, down 53% from May, the lowest monthly total since December 2025 and 4% below June 2025’s 47,999. Anyone looking for relief can have that sentence. Here is the one underneath it: AI led every stated reason for the fourth consecutive month, cited in 14,029 cuts, or 31% of the month’s total — a higher share than the record-setting May, on half the volume. Market and economic conditions came second at 12,470.
The distinction matters more than the headline. When the layoff wave recedes, the AI share does not recede with it. Ordinary cyclical cutting is what fell away in June; the substitution cutting held. Challenger began tracking AI as a distinct reason in 2023 and has never before recorded four straight months of it leading the table.
Through six months, AI has been cited in 101,743 announced cuts, about 23% of everything Challenger tracked — nearly double the 54,694 attributed to AI in all of 2025, achieved in half the time. The technology sector alone shed 139,156 jobs through June, up 83% from 76,214 in the same stretch of 2025, and now accounts for roughly a third of all US job cuts.
Hiring across the board hit lows not seen since the Great Recession. Companies aren’t just firing; they’ve stopped hiring, and they’re saying out loud what they used to euphemize.
Source: Challenger Report: June 2026, HR Dive: Tech Layoffs Surge 83% in H1 2026
Tech Sector: Ground Zero Keeps Getting Deeper
2025 Full Year Tech Layoffs
| Tracker | 2025 Layoffs | Companies |
|---|---|---|
| Crunchbase | 127,000+ | US-based tech |
| TrueUp | ~245,000 | Global tech |
| Layoffs.fyi | 122,549 | 257 companies |
Nearly 245,000 tech jobs were cut globally in 2025, with about 70% from US-headquartered companies.
2026 Tech Layoffs (H1)
| Tracker | 2026 Layoffs | Context |
|---|---|---|
| Challenger (tech sector, H1) | 139,156 | Up 83% from 76,214 in H1 2025; ~31% of all US cuts |
| Challenger (tech sector, Q1) | 52,050 | Highest first quarter since 2023 |
| Layoffs.fyi (through April) | 92,000+ | Brings total since 2020 to ~900,000 |
| Tom’s Hardware (Q1) | 78,557 | 76% in U.S., 47.9% AI-attributed |
One sector, less than 2% of US employment, absorbing a third of the country’s announced job cuts. That is what it looks like when an industry automates itself first.
By late April 2026, over 92,000 tech workers had been laid off, and that’s before counting Meta’s 8,000 and Microsoft’s potential 8,750. The tech sector’s Q1 2026 cut total of 52,050 was the highest first-quarter figure since 2023.
The AI-attribution share keeps climbing: Tom’s Hardware reports 47.9% of Q1 2026 tech cuts were attributed to “the reduced need for human workers because of AI and workflow automation.” That’s roughly half the layoffs in the industry that built AI being caused by AI.
April 2026 alone saw nearly 40,000 tech layoffs as Big Tech reallocated payroll into AI capital expenditure.
Source: Tom’s Hardware Q1 2026 Tech Layoffs, BusinessToday: April Tech Layoffs
The Corporate Hall of Shame (2025-2026)
| Company | Layoffs | What They’re Spending On Instead |
|---|---|---|
| Meta | 4,200 (2025) + 8,000 (Apr 2026) | $135B 2026 capex, mostly AI infrastructure |
| Microsoft | ~15,000 (2025) + ~8,750 buyout offers (Apr 2026) | Copilot, OpenAI, AI data centers |
| Intel | 21,000+ (~20%) | AI chips |
| Amazon | 14,000 (2025) + 16,000 (2026) | AWS AI, robotics |
| Verizon | 13,000+ | Network automation |
| IBM | 8,000-9,000 | AI replacing HR and admin |
| Snap | 4,000+ (2026) | Cited “rapid AI advancements” by name |
Every company laying off humans is simultaneously doubling down on AI. The savings aren’t going to the bottom line so much as into machines: this is labor substitution.
AI Job Displacement: The Elephant Got Bigger
What’s Already Happened
| Metric | Figure | Source |
|---|---|---|
| Workers reporting AI displacement | 13.7%+ | Multiple surveys |
| Business leaders planning AI replacement by end 2026 | 37% | Industry surveys |
| Manufacturing jobs replaced by AI robotics (global, by 2026) | ~2 million | MIT/Boston University |
| Data-entry roles automation risk | 95% | Multiple studies |
| Customer service automation risk | 80% | Multiple studies |
| Women as share of most vulnerable workers | 86% | Washington Post analysis |
That 37% figure should haunt you: more than one in three business leaders plan to replace human workers with AI by the end of 2026. Not “might consider.” Plan to.
And the ceiling on that intent keeps rising. In Mercer’s 2026 Global Talent Trends survey of 825 C-suite leaders, 99% said they expect AI to drive at least some headcount reduction within two years. The sharpest edge falls on the bottom rung: 43% of CEOs plan to cut junior roles in the next year or two, up from 17% in 2025. The career ladder is being sawed off at the first step.
The Dallas Fed’s February 2026 analysis confirmed the dual reality: AI is simultaneously aiding and replacing workers. Wages in AI-exposed occupations are showing measurable decline even as productivity rises. The gains flow to shareholders, not workers.
And the Washington Post’s interactive analysis revealed that 86% of the most vulnerable workers are women. Automation’s negative effects aren’t distributed equally.
Source: Dallas Fed: AI and Wages (February 2026), Washington Post: Jobs Most Affected by AI
What’s Coming
| Timeframe | Projection | Source |
|---|---|---|
| By end 2026 | 85 million jobs displaced globally | WEF |
| By 2030 | 92 million displaced, 170 million created | WEF |
| By 2030 | 12 million Americans need career changes | McKinsey |
| By 2030 | 29.5% of work hours automated | McKinsey |
| Global AI exposure | 300 million full-time jobs | Goldman Sachs |
The “new jobs” defense: the WEF projects 170 million new jobs created by 2030 against 92 million displaced. But the jobs being destroyed aren’t the same as the jobs being created. A 55-year-old accountant displaced by AI isn’t becoming a “prompt engineer.” The people losing jobs and the people getting new ones are different populations.
The Skills Gap Remains a Chasm
| New AI Job Requirements | Percentage | US Adults |
|---|---|---|
| Require master’s degree | 77% | 13% have one |
| Require doctoral degree | 18% | 4% have one |
| Require bachelor’s or less | 5% | 83% of adults |
We’re creating jobs that 95% of displaced workers cannot fill. 20 million US workers need retraining in the next three years. Current programs can handle maybe 2 million.
The Demographic Disaster
| Group | Metric | What’s Happening |
|---|---|---|
| Youth (18-24) | 129% more AI anxiety than 65+ | Big Tech cut new grad hiring 25% |
| Women in AI-exposed jobs | 58.87 million | More exposed than men (48.62M) |
| Gen Z job seekers | 49% say AI devalued degree | They’re not wrong |
| Young NEET | 260 million globally | Not in education, employment, or training |
Source: St. Louis Fed, ILO 2026
Historical Context: Why This Time Is Different
| Era | Disruption | Time to Adapt | What Workers Did |
|---|---|---|---|
| Industrial Revolution | Mechanization | ~60 years | Moved to factories |
| Electrification | Factory automation | ~40 years | Specialized skills |
| Computing | Digital transformation | ~30 years | Learned computers |
| AI Era (2020s) | Cognitive + Physical automation | ~10 years | ??? |
Every previous disruption affected manual labor first, giving cognitive workers time to adapt. This one is eating cognitive labor first, while simultaneously deploying 50,000 humanoid robots to eat physical labor too. The escape routes are closing at the same time.
What These Numbers Really Mean
-
“4.2% US unemployment” means: The headline ticked down in the same month 720,000 people left the labor force and the employment-population ratio fell. The rate improved because the denominator shrank.
-
“408 million global jobs gap” means: Headline unemployment hides more than double the actual number of people who can’t find work.
-
“1.2 million layoffs in 2025” means: The highest non-pandemic year since the Great Recession, and 2026 has already logged ~443,000 in six months with AI as the #1 cited reason four months running.
-
“Meta + Microsoft cut 20,000+ in April 2026” means: Big Tech is openly converting payroll into AI capex. Meta raised 2026 capex guidance to $135B (up 87% YoY) while firing 8,000.
-
“86% of most vulnerable are women” means: Automation’s costs fall hardest on those already disadvantaged.
-
“AI = 31% of June layoffs even as total cuts fell 53%” means: When the cyclical layoffs recede, the substitution layoffs don’t. AI’s share rose while the volume halved - which is how you tell a business cycle from a structural replacement.
-
“April and May were both revised down” means: The jobs numbers you read on release day are drafts, and in 2026 the drafts have consistently flattered the labor market. May’s celebrated +172,000 is now +129,000.
The numbers aren’t whispering anymore. They’re screaming.
The Unscarcity Perspective
In the Unscarcity framework, these statistics are confirmation of the Labor Cliff. In 2025, we said it was coming. In 2026, the data says it’s here.
More job training programs won’t fix this, though they help at the margins. What’s needed is recognizing that an economy built on human labor is becoming obsolete, and building new systems (like the Abundant Foundation and Impact) that decouple survival from employment.
We have a choice: distribute the gains from AI broadly, or concentrate them among the few who own the machines. The statistics above show which direction we’re currently heading, and the clock is ticking.
Live Data Sources
For real-time tracking:
- US Employment: Bureau of Labor Statistics
- EU Unemployment: Eurostat
- Global Data: ILO ILOSTAT
- Tech Layoffs: Layoffs.fyi | TrueUp Tracker
- AI Impact Research: Yale Budget Lab
Sources and References
Official Government & International Organizations
- Bureau of Labor Statistics Employment Situation Summary (June 2026)
- Bureau of Labor Statistics Employment Situation Summary (May 2026)
- Bureau of Labor Statistics Employment Situation Summary (April 2026)
- ILO Employment and Social Trends 2026
- UN News: Global Employment Stable but Decent Jobs in Short Supply
- FRED Economic Data
Layoff Tracking
- Challenger Year-End Report 2025
- Challenger March 2026 Report: AI Leads Reasons
- Challenger April 2026 Report: Cuts Rise 38%, AI 26% of Total
- Challenger May 2026 Report: Job Cuts Rise 16%, Highest May Since 2020
- Challenger June 2026 Report: Layoffs Cool to 45,849, AI Leads for Fourth Consecutive Month
- HR Dive: Tech Layoffs Surge 83% in H1 2026 as AI Restructuring Tops Challenger Report
- CNBC: June 2026 Jobs Report - Payrolls Grow Just 57,000, Unemployment at 4.2%
- CNBC: Meta + Microsoft 20K Cuts Raise AI Labor Crisis Concern
- Mercer 2026 Global Talent Trends: 99% of CEOs Expect AI-Driven Layoffs (Tom’s Hardware)
- Variety: Meta Layoffs 8,000 Employees
- Tom’s Hardware: Q1 2026 Tech Layoffs
- BusinessToday: April 2026 Tech Layoffs ~40K
- Crunchbase Tech Layoffs Tracker
- Layoffs.fyi
AI and Automation Research
- McKinsey Global Institute: Generative AI and the Future of Work in America
- Goldman Sachs: How Will AI Affect the Global Workforce?
- World Economic Forum Future of Jobs Report 2025
- Dallas Fed: AI Aiding and Replacing Workers (February 2026)
- Washington Post: Jobs Most Affected by AI Automation (2026)
- Yale Budget Lab: AI Impact on Labor Market
- St. Louis Fed: Is AI Contributing to Unemployment?
News Coverage
- CNBC: Layoffs Top 1.1 Million in 2025
- IBTimes: AI-Driven Layoffs Surge in 2026
- Newsweek: Layoffs Coming to US Jobs Market in 2026
This page is updated regularly as new data emerges. Previous version covered 2025 data as “employment-statistics-2025.” The Labor Cliff waits for no one.
Last refreshed: August 1, 2026. Added June BLS data (unemployment down to 4.2% on 720,000 labor-force exits, +57K payrolls, participation at 61.5%, leisure and hospitality -61K) plus the downward revisions that cut April to +148K and May to +129K, and the June Challenger report (45,849 cuts, AI leading for a fourth straight month at 31% of the total, 101,743 AI cuts and 139,156 tech cuts through H1).
