Trader consensus on Polymarket strongly favors "Up" for tech layoffs in 2026 at an 86% implied probability, reflecting a Q1 surge exceeding 45,000 job cuts across over 200 companies—more than double Q1 2025's pace—per trackers like Layoffs.fyi and TrueUp. Major catalysts include Oracle's March 31 announcement of thousands of layoffs to redirect capital toward AI data centers and infrastructure, alongside earlier cuts at Amazon (16,000 roles), Block (4,000, or 40% of workforce), Meta (1,500), and Atlassian (1,600), often explicitly tied to artificial intelligence-driven restructuring and efficiency gains. With 20% of reductions linked to AI automation, the wisdom of crowds anticipates sustained pressure amid slowing growth in non-AI roles, though specialized AI hiring could temper the total; watch Q2 earnings for further signals.
Polymarketデータを参照したAI生成の実験的な要約 · 更新日増加
$10,280 Vol.
$10,280 Vol.
2027/02/28
増加
$10,280 Vol.
$10,280 Vol.
2027/02/28
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 strongly favors "Up" for tech layoffs in 2026 at an 86% implied probability, reflecting a Q1 surge exceeding 45,000 job cuts across over 200 companies—more than double Q1 2025's pace—per trackers like Layoffs.fyi and TrueUp. Major catalysts include Oracle's March 31 announcement of thousands of layoffs to redirect capital toward AI data centers and infrastructure, alongside earlier cuts at Amazon (16,000 roles), Block (4,000, or 40% of workforce), Meta (1,500), and Atlassian (1,600), often explicitly tied to artificial intelligence-driven restructuring and efficiency gains. With 20% of reductions linked to AI automation, the wisdom of crowds anticipates sustained pressure amid slowing growth in non-AI roles, though specialized AI hiring could temper the total; watch Q2 earnings for further signals.
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.
マーケット開始日： Mar 20, 2026, 2:43 PM ET
音量
$10,280終了日
2027/02/28マーケット開始日
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 strongly favors "Up" for tech layoffs in 2026 at an 86% implied probability, reflecting a Q1 surge exceeding 45,000 job cuts across over 200 companies—more than double Q1 2025's pace—per trackers like Layoffs.fyi and TrueUp. Major catalysts include Oracle's March 31 announcement of thousands of layoffs to redirect capital toward AI data centers and infrastructure, alongside earlier cuts at Amazon (16,000 roles), Block (4,000, or 40% of workforce), Meta (1,500), and Atlassian (1,600), often explicitly tied to artificial intelligence-driven restructuring and efficiency gains. With 20% of reductions linked to AI automation, the wisdom of crowds anticipates sustained pressure amid slowing growth in non-AI roles, though specialized AI hiring could temper the total; watch Q2 earnings for further signals.
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.
音量
$10,280終了日
2027/02/28マーケット開始日
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus on Polymarket strongly favors "Up" for tech layoffs in 2026 at an 86% implied probability, reflecting a Q1 surge exceeding 45,000 job cuts across over 200 companies—more than double Q1 2025's pace—per trackers like Layoffs.fyi and TrueUp. Major catalysts include Oracle's March 31 announcement of thousands of layoffs to redirect capital toward AI data centers and infrastructure, alongside earlier cuts at Amazon (16,000 roles), Block (4,000, or 40% of workforce), Meta (1,500), and Atlassian (1,600), often explicitly tied to artificial intelligence-driven restructuring and efficiency gains. With 20% of reductions linked to AI automation, the wisdom of crowds anticipates sustained pressure amid slowing growth in non-AI roles, though specialized AI hiring could temper the total; watch Q2 earnings for further signals.
Polymarketデータを参照したAI生成の実験的な要約 · 更新日
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