**Strong trader consensus for higher tech layoffs in 2026 (81.5% implied probability for "Up") stems primarily from sustained AI-driven restructuring across major firms, with year-to-date totals already on pace to exceed 2025 figures.** Trackers such as TrueUp report roughly 175,000–206,000 impacted workers through mid-August 2026 at a daily rate of 773–876, versus 246,000 for all of 2025. Challenger, Gray & Christmas and company-specific tallies highlight outsized cuts at Oracle (over 25,000 roles), Amazon, Meta, Microsoft (including a 4,800-person July reduction), and Cisco, often tied explicitly to AI automation, cloud optimization, and efficiency gains even amid strong revenue. US-focused data from Crunchbase shows continued weekly announcements, while broader analyses note that 2026 cuts are running at or above the prior year’s pace through Q2–Q3. Key catalysts include ongoing executive statements linking headcount reductions to AI investments, macroeconomic caution, and competitive repositioning. With the annual total still unresolved but current momentum clear, markets price a high likelihood that full-year 2026 layoffs surpass 2025.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
83% chance
$25,905 Vol.
$25,905 Vol.
Feb 28, 2027
Up
83% chance
$25,905 Vol.
$25,905 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.**Strong trader consensus for higher tech layoffs in 2026 (81.5% implied probability for "Up") stems primarily from sustained AI-driven restructuring across major firms, with year-to-date totals already on pace to exceed 2025 figures.**
Trackers such as TrueUp report roughly 175,000–206,000 impacted workers through mid-August 2026 at a daily rate of 773–876, versus 246,000 for all of 2025. Challenger, Gray & Christmas and company-specific tallies highlight outsized cuts at Oracle (over 25,000 roles), Amazon, Meta, Microsoft (including a 4,800-person July reduction), and Cisco, often tied explicitly to AI automation, cloud optimization, and efficiency gains even amid strong revenue.
US-focused data from Crunchbase shows continued weekly announcements, while broader analyses note that 2026 cuts are running at or above the prior year’s pace through Q2–Q3. Key catalysts include ongoing executive statements linking headcount reductions to AI investments, macroeconomic caution, and competitive repositioning. With the annual total still unresolved but current momentum clear, markets price a high likelihood that full-year 2026 layoffs surpass 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
$25,905End 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.**Strong trader consensus for higher tech layoffs in 2026 (81.5% implied probability for "Up") stems primarily from sustained AI-driven restructuring across major firms, with year-to-date totals already on pace to exceed 2025 figures.**
Trackers such as TrueUp report roughly 175,000–206,000 impacted workers through mid-August 2026 at a daily rate of 773–876, versus 246,000 for all of 2025. Challenger, Gray & Christmas and company-specific tallies highlight outsized cuts at Oracle (over 25,000 roles), Amazon, Meta, Microsoft (including a 4,800-person July reduction), and Cisco, often tied explicitly to AI automation, cloud optimization, and efficiency gains even amid strong revenue.
US-focused data from Crunchbase shows continued weekly announcements, while broader analyses note that 2026 cuts are running at or above the prior year’s pace through Q2–Q3. Key catalysts include ongoing executive statements linking headcount reductions to AI investments, macroeconomic caution, and competitive repositioning. With the annual total still unresolved but current momentum clear, markets price a high likelihood that full-year 2026 layoffs surpass 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
$25,905End Date
Feb 28, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...**Strong trader consensus for higher tech layoffs in 2026 (81.5% implied probability for "Up") stems primarily from sustained AI-driven restructuring across major firms, with year-to-date totals already on pace to exceed 2025 figures.** Trackers such as TrueUp report roughly 175,000–206,000 impacted workers through mid-August 2026 at a daily rate of 773–876, versus 246,000 for all of 2025. Challenger, Gray & Christmas and company-specific tallies highlight outsized cuts at Oracle (over 25,000 roles), Amazon, Meta, Microsoft (including a 4,800-person July reduction), and Cisco, often tied explicitly to AI automation, cloud optimization, and efficiency gains even amid strong revenue. US-focused data from Crunchbase shows continued weekly announcements, while broader analyses note that 2026 cuts are running at or above the prior year’s pace through Q2–Q3. Key catalysts include ongoing executive statements linking headcount reductions to AI investments, macroeconomic caution, and competitive repositioning. With the annual total still unresolved but current momentum clear, markets price a high likelihood that full-year 2026 layoffs surpass 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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