More tech layoffs in 2026 than in 2025?

Step 1: Define the resolution threshold and current trajectory

The market resolves YES if U.S. Information sector layoffs exceed 447,000 in 2026 (the 2025 baseline). As of April 2, 2026 (Q1), we're only ~25% through the year with preliminary data showing ~45,000 global tech layoffs tracked.

Critical data gap: The 45,000 figure is:

• Global (not U.S.-specific Information sector)
• From third-party trackers (incomplete coverage)
• May not yet reflect announced cuts (Amazon 16k, Oracle 10k, Block 4k, Meta 2.2k = ~32k just from 4 companies)

If major announced cuts execute in Q2-Q3 and are U.S.-focused, we could be tracking toward 150,000-200,000+ by year-end from announced actions alone.

Step 2: Assess macroeconomic deterioration

The economic environment has sharply worsened since early 2026:

Monetary tightening persists: Fed held at 3.50-3.75% (March 18), revised inflation up to 2.7%, signals only 1 cut for all of 2026. CME FedWatch shows 97.9% hold probability for April meeting. Markets briefly priced 50%+ hike probability by year-end—a hawkish shock.

Energy shock/stagflation risk: U.S.-Iran conflict drove Brent crude to $114/barrel. This creates cost pressures (hurts margins) while dampening consumer demand—classic stagflation setup that historically triggers layoffs.

Credit conditions tightening: 10-year Treasury yields surged to 4.3-4.5%. Private credit inflows fell 33%—eliminating funding lifeline for startups and growth-stage tech companies that are layoff-vulnerable.

Labor market cooling: February JOLTS showed total U.S. hires plummeted 500k to 4.8M (lowest since April 2020). Unemployment ticked to 4.4%. This suggests broader economic weakness that typically cascades to tech.

Recession probability elevated: Moody's and Goldman raised recession odds to 30-50% over next 12 months.

Step 3: Assess structural tech sector factors

AI-driven restructuring: This is a secular shift, not cyclical. Block explicitly cited "AI productivity tools" for cutting 40% of workforce. Meta is pivoting from metaverse to AI. Oracle is restructuring for AI data centers. This could sustain elevated layoffs even if recession is avoided.

2025 baseline context: 447,000 is an extremely high threshold—it implies 2025 had massive layoffs already. If 2025 saw elevated cuts during the earlier phase of this cycle, there may be "cutting fatigue" or limited further headcount to trim. However, major tech firms still announced significant Q1 2026 cuts, suggesting they weren't fully optimized yet.

Step 4: Build probability estimate

Bull case for YES (exceeds 447k):

• Announced cuts already approach 150k+ if fully executed in U.S. Information sector
• Stagflation scenario persists, triggering Q2-Q4 waves
• AI restructuring accelerates across industry
• Recession materializes (30-50% base probability)
• Private credit crunch forces startup failures and mass layoffs
• Linear extrapolation if current pace continues: 45k × 4 = 180k, BUT this ignores announced cuts not yet executed and potential acceleration

Bear case for NO (stays below 447k):

• U.S.-Iran conflict de-escalates, oil prices normalize
• Fed pivots to cuts by mid-year, easing financial conditions
• Major announced cuts are global, not predominantly U.S. Information sector
• AI hiring offsets AI-driven cuts (net effect smaller)
• Labor market stabilizes, recession avoided
• 2025 baseline of 447k was already so high that comparable 2026 total is unlikely

Step 5: Compare to market odds

Market odds: 87.25% YES

My assessment:

• Macro deterioration is real and significant (stagflation risk, Fed hawkishness, credit tightening)
• Announced cuts are large but execution timing and geographic split are uncertain
• Q1 run-rate of 45k seems low, but may not capture announced actions yet
• The 447k threshold is very high—suggests 2025 was already a severe year
• If 2025 had 447k cuts and we're in worsening conditions, exceeding it is plausible but not 87% certain

Estimated probability: 78%

The market at 87.25% appears slightly overconfident. While conditions are deteriorating rapidly, the threshold is extremely high, and we're only seeing preliminary Q1 data. There's meaningful uncertainty around:

1. Whether announced cuts are predominantly U.S. Information sector
2. Whether recession actually materializes (still only 30-50% probability)
3. Whether oil shock is transitory
4. Whether AI hiring partially offsets AI-driven cuts

A 78% estimate reflects high probability of exceeding 447k given the macro environment and announced cuts, but acknowledges execution risk, geographic uncertainty, and the possibility of stabilization in H2 2026.

Modest negative edge, but within uncertainty bounds

Market probability: 87.25% My estimate: 78% Difference: -9.25 percentage points

Assessment: The market appears moderately overconfident. At 87.25%, the market is pricing this as near-certain, but meaningful uncertainty remains:

1. Data visibility is poor: We're only 25% through 2026 with preliminary Q1 figures that may not reflect announced actions or properly segment U.S. Information sector

2. Threshold is extremely high: 447k represents a severe 2025 baseline—exceeding it requires 2026 to be even worse, which is plausible but not 87% certain

3. Conditional probabilities matter: My estimate implicitly weights:

   • 30-50% recession probability (not certain)
   • Unknown probability oil shock persists vs. resolves
   • Uncertain execution timing and geographic split of announced cuts

4. However, market stability suggests information: The 7-day price range of 86¢-86¢ (essentially flat) suggests no new information is moving the market, and participants with deeper proprietary data (e.g., HR analytics firms, VC portfolio visibility) may have conviction supporting 87%.

Conclusion: There is likely a small edge in betting NO (taking the 13% side), but my confidence level is only 55%—not high enough to have strong conviction. The market may possess information about:

• Proprietary layoff tracking data with better U.S. sector segmentation
• Knowledge of additional unannounced layoffs in pipeline
• Better visibility into 2025's actual 447k baseline composition

Recommendation: The edge exists but is marginal given uncertainty. If forced to bet, a small position on NO would be justified at current odds, but this is not a high-conviction opportunity. The true probability likely lies in the 75-82% range, and the market at 87% is modestly high but defensible given the severe macro deterioration observed in Q1 2026.

7-day range: 86¢ – 86¢.