Tech layoffs in 2026 have already surpassed 2025 totals across major trackers, with YTD figures reaching 128,000–173,000 roles cut by mid-September amid widespread AI-driven restructuring. Companies including Oracle, Amazon, Meta, and Dell have explicitly tied reductions to AI adoption for efficiency gains and to redirect payroll savings toward massive capital expenditures on data centers, custom silicon, and model infrastructure. This continues the post-pandemic correction of over-hiring while accelerating automation of support, management, and routine engineering functions, even at profitable firms reporting revenue growth. With four months remaining and consistent monthly announcements, trader consensus heavily favors higher annual totals. A sharp economic rebound or unexpected surge in AI-related hiring could still moderate the pace before year-end.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
82% chance
$26,002 Vol.
$26,002 Vol.
Jun 30, 2027
Up
82% chance
$26,002 Vol.
$26,002 Vol.
Jun 30, 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 in 2026 have already surpassed 2025 totals across major trackers, with YTD figures reaching 128,000–173,000 roles cut by mid-September amid widespread AI-driven restructuring. Companies including Oracle, Amazon, Meta, and Dell have explicitly tied reductions to AI adoption for efficiency gains and to redirect payroll savings toward massive capital expenditures on data centers, custom silicon, and model infrastructure. This continues the post-pandemic correction of over-hiring while accelerating automation of support, management, and routine engineering functions, even at profitable firms reporting revenue growth. With four months remaining and consistent monthly announcements, trader consensus heavily favors higher annual totals. A sharp economic rebound or unexpected surge in AI-related hiring could still moderate the pace before year-end.
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
$26,002End Date
Jul 1, 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 in 2026 have already surpassed 2025 totals across major trackers, with YTD figures reaching 128,000–173,000 roles cut by mid-September amid widespread AI-driven restructuring. Companies including Oracle, Amazon, Meta, and Dell have explicitly tied reductions to AI adoption for efficiency gains and to redirect payroll savings toward massive capital expenditures on data centers, custom silicon, and model infrastructure. This continues the post-pandemic correction of over-hiring while accelerating automation of support, management, and routine engineering functions, even at profitable firms reporting revenue growth. With four months remaining and consistent monthly announcements, trader consensus heavily favors higher annual totals. A sharp economic rebound or unexpected surge in AI-related hiring could still moderate the pace before year-end.
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
$26,002End Date
Jul 1, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Tech layoffs in 2026 have already surpassed 2025 totals across major trackers, with YTD figures reaching 128,000–173,000 roles cut by mid-September amid widespread AI-driven restructuring. Companies including Oracle, Amazon, Meta, and Dell have explicitly tied reductions to AI adoption for efficiency gains and to redirect payroll savings toward massive capital expenditures on data centers, custom silicon, and model infrastructure. This continues the post-pandemic correction of over-hiring while accelerating automation of support, management, and routine engineering functions, even at profitable firms reporting revenue growth. With four months remaining and consistent monthly announcements, trader consensus heavily favors higher annual totals. A sharp economic rebound or unexpected surge in AI-related hiring could still moderate the pace before year-end.
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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