Major technology firms are accelerating workforce reductions in 2026 to redirect resources toward artificial intelligence development and operational efficiency, pushing year-to-date totals well above 2025 levels according to trackers like TrueUp and Layoffs.fyi. Amazon, Meta, Oracle, and others have announced thousands of cuts each, with roughly 20% of events explicitly tied to AI automation replacing roles. Monthly figures have remained elevated through May, including peaks not seen since 2023, while hiring managers anticipate AI as a primary driver for further reductions. This pace supports the 90% market-implied probability that annual tech layoffs will finish higher than last year, though potential shifts in AI spending or broader economic conditions could moderate the trend later in the year.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
$25,394 Vol.
$25,394 Vol.
Feb 28, 2027
Up
$25,394 Vol.
$25,394 Vol.
Feb 28, 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.Major technology firms are accelerating workforce reductions in 2026 to redirect resources toward artificial intelligence development and operational efficiency, pushing year-to-date totals well above 2025 levels according to trackers like TrueUp and Layoffs.fyi. Amazon, Meta, Oracle, and others have announced thousands of cuts each, with roughly 20% of events explicitly tied to AI automation replacing roles. Monthly figures have remained elevated through May, including peaks not seen since 2023, while hiring managers anticipate AI as a primary driver for further reductions. This pace supports the 90% market-implied probability that annual tech layoffs will finish higher than last year, though potential shifts in AI spending or broader economic conditions could moderate the trend later in the year.
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
$25,394End 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.Major technology firms are accelerating workforce reductions in 2026 to redirect resources toward artificial intelligence development and operational efficiency, pushing year-to-date totals well above 2025 levels according to trackers like TrueUp and Layoffs.fyi. Amazon, Meta, Oracle, and others have announced thousands of cuts each, with roughly 20% of events explicitly tied to AI automation replacing roles. Monthly figures have remained elevated through May, including peaks not seen since 2023, while hiring managers anticipate AI as a primary driver for further reductions. This pace supports the 90% market-implied probability that annual tech layoffs will finish higher than last year, though potential shifts in AI spending or broader economic conditions could moderate the trend later in the year.
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
$25,394End Date
Feb 28, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major technology firms are accelerating workforce reductions in 2026 to redirect resources toward artificial intelligence development and operational efficiency, pushing year-to-date totals well above 2025 levels according to trackers like TrueUp and Layoffs.fyi. Amazon, Meta, Oracle, and others have announced thousands of cuts each, with roughly 20% of events explicitly tied to AI automation replacing roles. Monthly figures have remained elevated through May, including peaks not seen since 2023, while hiring managers anticipate AI as a primary driver for further reductions. This pace supports the 90% market-implied probability that annual tech layoffs will finish higher than last year, though potential shifts in AI spending or broader economic conditions could moderate the trend later in the year.
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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