**Tech layoffs are accelerating sharply in 2026, with year-to-date totals already matching or exceeding full-year 2025 figures across major trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas.** Companies have eliminated over 150,000–176,000 roles in the first seven to eight months, driven primarily by artificial intelligence and automation, which firms explicitly cite in more than half of events—up from under 8% in 2025. Large-scale restructurings at Oracle (21,000–30,000 cuts), Amazon (16,000+ corporate roles), Meta, Microsoft, Dell, and Intel target legacy functions as large language models and machine learning tools boost productivity and shift spending toward AI infrastructure. This sustained pace, with ongoing August announcements and full-year projections often exceeding prior peaks, underpins the strong market-implied odds for higher layoffs than 2025.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
88% chance
$25,972 Vol.
$25,972 Vol.
Feb 27, 2027
Up
88% chance
$25,972 Vol.
$25,972 Vol.
Feb 27, 2027
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in 2026 than in 2025 (447,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.**Tech layoffs are accelerating sharply in 2026, with year-to-date totals already matching or exceeding full-year 2025 figures across major trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas.** Companies have eliminated over 150,000–176,000 roles in the first seven to eight months, driven primarily by artificial intelligence and automation, which firms explicitly cite in more than half of events—up from under 8% in 2025. Large-scale restructurings at Oracle (21,000–30,000 cuts), Amazon (16,000+ corporate roles), Meta, Microsoft, Dell, and Intel target legacy functions as large language models and machine learning tools boost productivity and shift spending toward AI infrastructure. This sustained pace, with ongoing August announcements and full-year projections often exceeding prior peaks, underpins the strong market-implied odds for higher layoffs than 2025.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in 2026 than in 2025 (447,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
Market Opened: Mar 20, 2026, 2:43 PM ET
Volume
$25,972End Date
Feb 28, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in 2026 than in 2025 (447,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.**Tech layoffs are accelerating sharply in 2026, with year-to-date totals already matching or exceeding full-year 2025 figures across major trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas.** Companies have eliminated over 150,000–176,000 roles in the first seven to eight months, driven primarily by artificial intelligence and automation, which firms explicitly cite in more than half of events—up from under 8% in 2025. Large-scale restructurings at Oracle (21,000–30,000 cuts), Amazon (16,000+ corporate roles), Meta, Microsoft, Dell, and Intel target legacy functions as large language models and machine learning tools boost productivity and shift spending toward AI infrastructure. This sustained pace, with ongoing August announcements and full-year projections often exceeding prior peaks, underpins the strong market-implied odds for higher layoffs than 2025.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in 2026 than in 2025 (447,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
This market will resolve to "Down" if there are more layoffs in the information sector in 2025 than in 2026.
This market will resolve to 50-50 if the totals are the same in 2025 and 2026.
If not all relevant data points are published by June 30, 2027, ET, data published up until this point will be used to determine the 2026 total.
Revisions to previous data points after all relevant data points have been released will not be considered.
This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).
Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.
The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
Volume
$25,972End Date
Feb 28, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...**Tech layoffs are accelerating sharply in 2026, with year-to-date totals already matching or exceeding full-year 2025 figures across major trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas.** Companies have eliminated over 150,000–176,000 roles in the first seven to eight months, driven primarily by artificial intelligence and automation, which firms explicitly cite in more than half of events—up from under 8% in 2025. Large-scale restructurings at Oracle (21,000–30,000 cuts), Amazon (16,000+ corporate roles), Meta, Microsoft, Dell, and Intel target legacy functions as large language models and machine learning tools boost productivity and shift spending toward AI infrastructure. This sustained pace, with ongoing August announcements and full-year projections often exceeding prior peaks, underpins the strong market-implied odds for higher layoffs than 2025.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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