More tech layoffs in 2026 than in 2025?
Yes refers to: Yes
Short Answer
Both the model and the market expect more tech layoffs in 2026 than in 2025, with no compelling evidence of mispricing.
1. Executive Verdict
- Meta's Q1 2026 layoffs were directly attributed to AI restructuring.
- AI adoption appears to be significantly accelerating current tech layoffs.
- Oracle's 2026 layoffs aligned with strategic restructuring plans.
- Variances exist in reported layoff totals due to differing data methods.
- Prediction markets indicate 2026 tech layoffs may exceed 2025 baseline.
Who Wins and Why
| Outcome | Market | Model | Why |
|---|---|---|---|
| Yes | 90.9% | 93.7% | Continued economic slowdown is expected to prompt more tech layoffs in 2026. |
Current Context
Tech layoffs in 2026 are on pace to surpass 2025 totals. Year-to-date figures for 2026 range from approximately 93,000 to over 120,000 tech workers laid off by early May, according to various sources like Layoffs.fyi (~93,000 on May 7) [^], LayoffWatch (100,000 in Q2) [^], Skillsyncer (113,000 on May 6) [^], and Trueup/Yahoo (119,000 in April) [^]. For comparison, full-year tech layoffs in 2025 were estimated at around 127,000 by Crunchbase (US) [^], 165,000 by Layoffs.fyi [^], and 172,000 by UBOS [^], with monthly summaries suggesting over 110,000 total [^]. The daily layoff rate for 2026 is projected between 873 (LayoffWatch, a 136% increase over Q1 2025) [^] and 904 (Skillsyncer) [^], a pace that indicates the total for the full year will exceed that of 2025.
Major companies are driving 2026 layoffs due to AI infrastructure shifts. Significant job reductions in 2026 include estimated cuts from Oracle (25,000-30,000), Amazon (30,000), Meta (8,000-16,000), and Intel (15,000-21,000), alongside layoffs at firms such as Coinbase and Freshworks [^][^][^][^]. Geographically, 49% of these layoffs have occurred in the United States, with India experiencing the second-highest number [^][^][^][^]. The primary cause behind these workforce reductions is attributed to a strategic shift towards AI infrastructure, supported by an estimated $660 billion in AI spending [^][^][^]. Trackers characterize this trend as "permanent restructuring" rather than a signal of economic contraction [^][^].
Forecasts and prediction markets anticipate more tech layoffs in 2026. LayoffWatch predicts a total of 264,000 tech layoffs for 2026 with an 80% probability [^]. Additionally, a prediction market indicates an 81% likelihood that tech layoffs in 2026 will surpass the 447,000 observed in the information sector or its technology equivalent in 2025 [^].
2. Market Behavior & Price Dynamics
Historical Price (Probability)
Outcome probability
Date
This prediction market has displayed a consistent upward trend, with the probability of "Yes" trading within a range of 80.1% to 97.7%. Currently priced at 90.9%, the market reflects a high degree of confidence in the outcome. The chart shows significant volatility in late April. On April 25, the price experienced a sharp 8.6 percentage point drop, which appears driven by news highlighting AI-related job creation, temporarily weakening the "Yes" position. However, this was quickly reversed by an 8.3 percentage point spike on April 28. This recovery was reportedly fueled by news of major tech job cuts, including a reported announcement from Meta that it was cutting 10% of its workforce.
The market has maintained a strong support level around the 80% mark, as evidenced by the quick rebound after the dip to 81.0%. The upper boundary near 97.7% has served as a resistance point. Total trading volume is substantial at over 54,000 contracts, indicating active participation and conviction from traders, although daily volume fluctuates. The sustained high probability and the market's strong reaction to news of layoffs suggest a dominant market sentiment. Traders appear to be weighing the impact of ongoing job cuts more heavily than reports of new job creation, solidifying the belief that 2026 layoffs are on pace to exceed those of 2025.
3. Significant Price Movements
Notable price changes detected in the chart, along with research into what caused each movement.
📈 April 28, 2026: 8.3pp spike
Price increased from 80.6% to 88.9%
Outcome: Yes
What happened: The 8.3 percentage point spike in the prediction market "More tech layoffs in 2026 than in 2025?" on April 28, 2026, was primarily driven by traditional news of significant job cuts in the tech sector. Specifically, Forbes reported on April 23, 2026, that Meta announced it was cutting 10% of its workforce, citing a push for efficiency and the surging impact of AI-related layoffs [^]. This major announcement by a prominent tech company likely led the market movement by reinforcing the trend of increasing tech layoffs in 2026, which were already exceeding 2025's pace [^][^][^]. No specific social media activity or market structure factors were identified as primary drivers for this particular spike.
📉 April 25, 2026: 8.6pp drop
Price decreased from 89.6% to 81.0%
Outcome: Yes
What happened: On April 25, 2026, the 8.6 percentage point drop in the "Yes" outcome for "More tech layoffs in 2026 than in 2025?" appears primarily driven by traditional news highlighting significant AI-related job creation. Despite reports of intensifying tech layoffs and over 100,000 jobs lost in 2026 by April, information from sources like LayoffWatch in April simultaneously reported that $660 billion in AI spending is linked to the creation of over 100,000 new jobs [^]. This counter-narrative likely introduced a more balanced outlook on the net employment impact, reducing market confidence that 2026 would definitively surpass 2025's total layoffs. Social media activity was not identified as a primary driver.
4. Market Data
Contract Snapshot
The market resolves to "Yes" if there are more than 447,000 layoffs in the information sector in 2026, as verified by FRED (series JTU5100LDL#); otherwise, it resolves to "No." The market is open from February 25, 2026, to March 1, 2027, with a projected payout on March 1, 2027. Due to an initial incorrect strike value, if the 2026 layoff count falls between 447,000 and 494,000, traders with an open position as of March 13, 2026, at 5:00 PM ET will receive a $1.00 payout.
Available Contracts
Market options and current pricing
| Outcome bucket | Yes (price) | No (price) | Last trade probability |
|---|---|---|---|
| Yes | $0.91 | $0.09 | 91% |
Market Discussion
The market shows a strong consensus, with 90.9% predicting "Yes" to more tech layoffs in 2026 than in 2025. Traders supporting "Yes" point to recent and ongoing significant layoffs at major tech companies, such as Meta's reported 8000 cuts. The main argument for "No" suggests that tech companies might avoid layoffs due to political considerations, though this viewpoint was challenged by other traders.
5. What evidence from Q1 and Q2 2026 earnings calls by Meta, Amazon, and Google confirms that AI-driven restructuring is the primary cause for layoffs?
| Meta Q1 2026 AI CapEx Forecast | $125 billion to $145 billion [^][^] |
|---|---|
| Total Tech Roles Cut by May 2026 | Over 93,000 [^] |
| April 2026 Job Cuts Attributed to AI | 21,490 [^] |
Meta directly attributed its Q1 2026 layoffs to AI restructuring efforts. CEO Mark Zuckerberg explicitly stated that the company's May 20 layoffs were "structured as headcount reduction in service of AI infrastructure" and were primarily driven by "capital constraints" stemming from increased AI spending. To accelerate its AI infrastructure buildout, Meta significantly raised its full-year 2026 capital expenditures forecast to between $125 billion and $145 billion [^][^][^].
Amazon and Alphabet did not explicitly link layoffs to AI restructuring. Their Q1 and Q2 2026 earnings calls did not confirm AI-driven restructuring as the primary cause for their respective layoffs. While Amazon's Q1 2026 earnings call highlighted growth in AWS and its AI initiatives, reporting $43.2 billion in capital expenditures primarily for AWS and generative AI, and Alphabet's Q1 2026 earnings call showcased a "terrific quarter" propelled by AI investments and increased full-year 2026 capital expenditures guidance to $180 billion to $190 billion for AI compute resources, the specific connection of these investments to Amazon's approximately 30,000 employee reductions or Alphabet's "roughly 1,500 ongoing reductions" as primary drivers was not explicitly presented [^][^][^][^][^][^][^][^][^][^][^][^].
Broader tech industry layoffs in 2026 are frequently linked to AI. By May 2026, over 93,000 roles had already been eliminated across 106 technology companies. Many of these reductions were attributed to artificial intelligence and automation, leading to the formation of leaner, restructured teams. AI was specifically cited as the primary reason for 21,490 of the 83,387 job cuts announced in April 2026 alone, coinciding with a reported 92% increase in hiring for AI-related positions in 2026 [^][^][^].
6. How does the composition of tech roles eliminated in the first half of 2026 compare to those cut in the first half of 2025, according to data from Layoffs.fyi and Crunchbase?
| Comparison of H1 2026 vs H1 2025 tech roles eliminated | Cannot be computed with currently surfaced evidence [^][^] |
|---|---|
| Layoffs.fyi data availability | High-level totals available, but no role-category breakdown for H1 2025 vs H1 2026 [^] |
| Crunchbase 2025 tech layoffs | Around 127,000 workers let go from U.S.-based tech companies in 2025 [^] |
Comparing H1 2025 and H1 2026 tech role compositions is not possible. The requested comparison of the composition of tech roles eliminated in the first half of 2026 with those cut in the first half of 2025 cannot be computed with the currently available evidence [^][^]. The primary reason is that data from sources such as Layoffs.fyi and Crunchbase does not provide the necessary role-category breakdown for the specified periods.
Layoffs.fyi provides high-level data, but lacks specific role breakdowns. Specifically, the retrieved information related to Layoffs.fyi only confirms the tracker's existence and high-level totals. There is no accessible, role-category breakdown for the first half of 2025 versus the first half of 2026 available in the retrieved snippets [^].
Crunchbase data offers total layoffs, not H1 role compositions. While a Crunchbase News page indicates that "In 2025: Around 127,000 workers were let go from U.S.-based tech companies," this excerpt does not offer the H1 (January–June) role-category composition needed to compare the mix of roles across H1 2025 and H1 2026. No retrieved source included both a role/category breakdown, such as engineering versus product versus sales, and a clear H1 window for both 2026 and 2025 for either Layoffs.fyi or Crunchbase [^][^].
7. Which major AI platform launches or key economic reports scheduled for Q3 and Q4 2026 are most likely to accelerate or reverse the current trend in tech layoffs?
| Tech Layoff Surge | 33% by April 2026 [^][^] |
|---|---|
| Samsung Gemini AI Integration | 800 million devices by end of 2026 [^] |
| Unemployment Rate Normalization Forecast | H2 2026 [^] |
AI adoption is significantly accelerating tech layoffs, despite new specialized roles. Tech layoffs are currently accelerating, with a 33% surge by April 2026 compared to the previous year, driven primarily by artificial intelligence adoption and strategic shifts towards efficiency [^][^]. Samsung's plan to double Gemini AI integration to 800 million devices by the end of 2026 will significantly broaden AI's reach, creating specialized AI roles while also generating pressures for automation in other areas [^]. This, combined with ongoing advancements in AI models, agents, and enterprise AI frameworks, as highlighted by NVIDIA GTC 2026, suggests that AI's role in streamlining operations and automating tasks will deepen, potentially exacerbating automation-driven layoffs. While new, specialized roles in AI development, data science, and AI ethics are expected to emerge, these may not fully offset broader workforce reductions [^][^][^].
Key economic reports will provide crucial indicators for future layoff trends. Several recurring economic reports will be crucial indicators for Q3 and Q4 2026. Stronger GDP growth reported by the U.S. Bureau of Economic Analysis (BEA) could indicate a more robust economy that might temper layoff trends, whereas weaker growth could intensify them [^]. A consistent rise in the unemployment rate, particularly in tech-heavy sectors, as reported by the Bureau of Labor Statistics (BLS), would signal accelerating layoffs [^]. Persistent inflation could lead to continued restrictive monetary policy, slowing economic growth and increasing layoff risks. The monthly Challenger Job-Cut Report will also provide timely data on announced layoffs across industries, including tech [^]. Morgan Stanley's November 2025 forecast suggested the unemployment rate would normalize in H2 2026 as GDP picks up, following expected rate cuts [^].
8. How do the data collection methodologies of Layoffs.fyi, Trueup, and LayoffWatch differ, and what is the resulting variance in their reported layoff totals for 2025 and 2026?
| Layoffs.fyi 2025 Tech Layoffs | 124,201 (Layoffs.fyi) [^] |
|---|---|
| Layoffs.fyi 2026 Tech Layoffs | 93,294 (Layoffs.fyi) [^] |
| LayoffWatch 2026 Tech Layoffs | 100,443 (LayoffWatch) [^] |
Data collection methods cause significant variance in reported layoff totals. The reported totals for tech layoffs in 2025 and 2026 show substantial divergence across different tracking services, primarily due to their varied data collection methodologies and inclusion rules [^][^][^][^]. For instance, Layoffs.fyi utilizes a crowdsourced approach, and Trueup aggregates layoff data from various sources [^][^]. In contrast, LayoffWatch maintains a "confirmed cuts" standard, relying on verified public announcements, SEC filings, and WARN notices to compile its data [^][^]. These distinct methods mean that the reported totals from each service are not directly comparable [^].
Layoff totals for 2025 and 2026 vary widely across trackers. According to Layoffs.fyi, 124,201 tech employees were laid off in 2025, a number that decreased to 93,294 in 2026, indicating an approximate 24.9% reduction in layoffs between the two years [^]. Conversely, LayoffWatch reported 100,443 tech workers laid off in 2026 based on its verified criteria; however, it did not provide a 2025 total, thus preventing a direct year-over-year comparison from its data [^][^][^]. Trueup noted 42,646 people impacted by 214 layoffs "So far in 2025," but a comparable full-year 2026 total was not available from the retrieved evidence [^].
9. How do the actual 2026 layoff figures at legacy tech firms like Oracle and Intel track against the restructuring plans outlined in their Q4 2025 and Q1 2026 financial reports?
| Oracle 2026 Layoffs | 30,000 (March 2026) [^] |
|---|---|
| Intel 2025-2026 Layoffs | Over 25,000 [^] |
| Tech Layoffs YTD 2026 | Over 100,000 [^][^] |
Oracle's 2026 layoffs aligned with its strategic restructuring plans. The company executed 30,000 layoffs in March 2026 [^], which was consistent with its Q4 2025 and Q1 2026 restructuring plans and matched a TD Cowen forecast of 20,000-30,000 cuts [^][^][^]. This restructuring effort for fiscal year 2026 was undertaken to fund AI data centers [^] and involved a $2.1 billion charge [^].
Intel significantly reduced its workforce, incurring substantial financial losses. Its restructuring between 2025 and 2026 resulted in over 25,000 positions being cut, reducing the company's headcount to less than 100,000 by the end of Q1 2026 [^]. These cuts were tied to $4.07 billion in Q1 charges and prior restructuring efforts [^], contributing to Intel reporting a $3.7 billion net loss in Q1 2026 [^].
10. What Could Change the Odds
Key Catalysts
Kalshi and Polymarket prediction markets indicate a consensus that information-sector tech layoffs in 2026 will exceed the 2025 baseline of 447,000 [^] [^] [^] . Here's What Prediction Market Is Saying - Oracle (NYSE:ORCL) - Benzinga">[^][^]. Kalshi showed ~92% implied odds, while Polymarket showed ~87% implied odds, as reported on May 5, 2026 [^]. Earlier coverage in late March/early April 2026 reported ~85%+ implied odds [^][^].
Polymarket's "Tech Layoffs Up or Down in Q1 2026?" contract resolves based on FRED's BLS "Layoffs and Discharges: Information" data (JTU5100LDL) [^] . Predictions & Odds 2026 | Polymarket">[^]. This contract compares Q1 2026 (January–March) to Q4 2025 (October–December) baseline of 115,000 layoffs [^]. The market noted that the March 2026 data release was scheduled for May 5, 2026, at 9:00am ET [^][^].
Key Dates & Catalysts
- Expiration: March 31, 2027
- Closes: March 01, 2027
11. Decision-Flipping Events
- Trigger: Kalshi and Polymarket prediction markets indicate a consensus that information-sector tech layoffs in 2026 will exceed the 2025 baseline of 447,000 [^] [^] [^] .
- Trigger: Kalshi showed ~92% implied odds, while Polymarket showed ~87% implied odds, as reported on May 5, 2026 [^] .
- Trigger: Earlier coverage in late March/early April 2026 reported ~85%+ implied odds [^] [^] .
- Trigger: Polymarket's "Tech Layoffs Up or Down in Q1 2026?" contract resolves based on FRED's BLS "Layoffs and Discharges: Information" data (JTU5100LDL) [^] .
13. Historical Resolutions
No historical resolution data available for this series.
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