Trader consensus on Polymarket reflects a 90.5% implied probability of tech layoffs rising in 2026, driven by Q1's explosive surge exceeding 90,000 job cuts across 200+ firms, with nearly 50% attributed to AI automation and workflow efficiencies. Major players like Oracle (30,000 cuts), Amazon (16,000+), Intel (25,000), and Meta accelerated restructuring to prioritize artificial intelligence investments amid persistent cost pressures, despite S&P 500 gains. Surveys indicate 55% of hiring managers anticipate further reductions, fueled by lagging productivity gains from AI deployment. Challenges include potential economic rebound via lower interest rates or accelerated hiring in AI-specialized roles, though current pace projects over 250,000 annual cuts, surpassing 2025.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
$14,672 Vol.
$14,672 Vol.
Feb 28, 2027
Up
$14,672 Vol.
$14,672 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.Trader consensus on Polymarket reflects a 90.5% implied probability of tech layoffs rising in 2026, driven by Q1's explosive surge exceeding 90,000 job cuts across 200+ firms, with nearly 50% attributed to AI automation and workflow efficiencies. Major players like Oracle (30,000 cuts), Amazon (16,000+), Intel (25,000), and Meta accelerated restructuring to prioritize artificial intelligence investments amid persistent cost pressures, despite S&P 500 gains. Surveys indicate 55% of hiring managers anticipate further reductions, fueled by lagging productivity gains from AI deployment. Challenges include potential economic rebound via lower interest rates or accelerated hiring in AI-specialized roles, though current pace projects over 250,000 annual cuts, surpassing 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
$14,672End 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.Trader consensus on Polymarket reflects a 90.5% implied probability of tech layoffs rising in 2026, driven by Q1's explosive surge exceeding 90,000 job cuts across 200+ firms, with nearly 50% attributed to AI automation and workflow efficiencies. Major players like Oracle (30,000 cuts), Amazon (16,000+), Intel (25,000), and Meta accelerated restructuring to prioritize artificial intelligence investments amid persistent cost pressures, despite S&P 500 gains. Surveys indicate 55% of hiring managers anticipate further reductions, fueled by lagging productivity gains from AI deployment. Challenges include potential economic rebound via lower interest rates or accelerated hiring in AI-specialized roles, though current pace projects over 250,000 annual cuts, surpassing 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
$14,672End Date
Feb 28, 2027Market Opened
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus on Polymarket reflects a 90.5% implied probability of tech layoffs rising in 2026, driven by Q1's explosive surge exceeding 90,000 job cuts across 200+ firms, with nearly 50% attributed to AI automation and workflow efficiencies. Major players like Oracle (30,000 cuts), Amazon (16,000+), Intel (25,000), and Meta accelerated restructuring to prioritize artificial intelligence investments amid persistent cost pressures, despite S&P 500 gains. Surveys indicate 55% of hiring managers anticipate further reductions, fueled by lagging productivity gains from AI deployment. Challenges include potential economic rebound via lower interest rates or accelerated hiring in AI-specialized roles, though current pace projects over 250,000 annual cuts, surpassing 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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