Trader consensus on Polymarket assigns an 86.5% implied probability to tech layoffs rising in 2026 versus 2025, fueled by a explosive Q1 where trackers like TrueUp report over 85,000 jobs cut across 208 companies—more than a third of 2025's 246,000 total already, at a blistering 936 per day. Massive cuts at Oracle (20,000-30,000 announced March 31), Amazon (16,000), Meta (1,500), and Atlassian (1,600) underscore AI-driven workforce optimization and post-COVID overstaffing corrections, amid macroeconomic headwinds. While AI job growth offsets some losses, ongoing Big Tech restructurings signal sustained pressure; Q2 earnings calls will be key catalysts for potential shifts.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoAumentarán
$10,280 Vol.
$10,280 Vol.
28 feb 2027
Aumentarán
$10,280 Vol.
$10,280 Vol.
28 feb 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 assigns an 86.5% implied probability to tech layoffs rising in 2026 versus 2025, fueled by a explosive Q1 where trackers like TrueUp report over 85,000 jobs cut across 208 companies—more than a third of 2025's 246,000 total already, at a blistering 936 per day. Massive cuts at Oracle (20,000-30,000 announced March 31), Amazon (16,000), Meta (1,500), and Atlassian (1,600) underscore AI-driven workforce optimization and post-COVID overstaffing corrections, amid macroeconomic headwinds. While AI job growth offsets some losses, ongoing Big Tech restructurings signal sustained pressure; Q2 earnings calls will be key catalysts for potential shifts.
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.
Mercado abierto: Mar 20, 2026, 2:43 PM ET
Volumen
$10,280Fecha de finalización
28 feb 2027Mercado abierto
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 assigns an 86.5% implied probability to tech layoffs rising in 2026 versus 2025, fueled by a explosive Q1 where trackers like TrueUp report over 85,000 jobs cut across 208 companies—more than a third of 2025's 246,000 total already, at a blistering 936 per day. Massive cuts at Oracle (20,000-30,000 announced March 31), Amazon (16,000), Meta (1,500), and Atlassian (1,600) underscore AI-driven workforce optimization and post-COVID overstaffing corrections, amid macroeconomic headwinds. While AI job growth offsets some losses, ongoing Big Tech restructurings signal sustained pressure; Q2 earnings calls will be key catalysts for potential shifts.
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.
Volumen
$10,280Fecha de finalización
28 feb 2027Mercado abierto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus on Polymarket assigns an 86.5% implied probability to tech layoffs rising in 2026 versus 2025, fueled by a explosive Q1 where trackers like TrueUp report over 85,000 jobs cut across 208 companies—more than a third of 2025's 246,000 total already, at a blistering 936 per day. Massive cuts at Oracle (20,000-30,000 announced March 31), Amazon (16,000), Meta (1,500), and Atlassian (1,600) underscore AI-driven workforce optimization and post-COVID overstaffing corrections, amid macroeconomic headwinds. While AI job growth offsets some losses, ongoing Big Tech restructurings signal sustained pressure; Q2 earnings calls will be key catalysts for potential shifts.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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