Recent surges in tech-sector job cuts, driven by widespread adoption of artificial intelligence tools and large language models for automation, have pushed the market-implied probability for higher layoffs in 2026 to 84.5%. Year-to-date figures already show over 85,000 reductions through April—an increase of 33% from the same period in 2025—with announcements from firms including Meta, Coinbase, Cisco, and LinkedIn citing AI efficiencies and workforce restructuring. While overall private-sector layoffs have declined, tech continues to accelerate cuts as companies replace roles with automated systems amid ongoing efficiency pressures. This pattern of confirmed headcount reductions and hiring-manager surveys projecting further AI-led changes supports trader consensus, though faster economic recovery could still moderate the pace.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoAumentarán
$25,292 Vol.
$25,292 Vol.
28 feb 2027
Aumentarán
$25,292 Vol.
$25,292 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.Recent surges in tech-sector job cuts, driven by widespread adoption of artificial intelligence tools and large language models for automation, have pushed the market-implied probability for higher layoffs in 2026 to 84.5%. Year-to-date figures already show over 85,000 reductions through April—an increase of 33% from the same period in 2025—with announcements from firms including Meta, Coinbase, Cisco, and LinkedIn citing AI efficiencies and workforce restructuring. While overall private-sector layoffs have declined, tech continues to accelerate cuts as companies replace roles with automated systems amid ongoing efficiency pressures. This pattern of confirmed headcount reductions and hiring-manager surveys projecting further AI-led changes supports trader consensus, though faster economic recovery could still moderate the pace.
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
$25,292Fecha 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.Recent surges in tech-sector job cuts, driven by widespread adoption of artificial intelligence tools and large language models for automation, have pushed the market-implied probability for higher layoffs in 2026 to 84.5%. Year-to-date figures already show over 85,000 reductions through April—an increase of 33% from the same period in 2025—with announcements from firms including Meta, Coinbase, Cisco, and LinkedIn citing AI efficiencies and workforce restructuring. While overall private-sector layoffs have declined, tech continues to accelerate cuts as companies replace roles with automated systems amid ongoing efficiency pressures. This pattern of confirmed headcount reductions and hiring-manager surveys projecting further AI-led changes supports trader consensus, though faster economic recovery could still moderate the pace.
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
$25,292Fecha de finalización
28 feb 2027Mercado abierto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Recent surges in tech-sector job cuts, driven by widespread adoption of artificial intelligence tools and large language models for automation, have pushed the market-implied probability for higher layoffs in 2026 to 84.5%. Year-to-date figures already show over 85,000 reductions through April—an increase of 33% from the same period in 2025—with announcements from firms including Meta, Coinbase, Cisco, and LinkedIn citing AI efficiencies and workforce restructuring. While overall private-sector layoffs have declined, tech continues to accelerate cuts as companies replace roles with automated systems amid ongoing efficiency pressures. This pattern of confirmed headcount reductions and hiring-manager surveys projecting further AI-led changes supports trader consensus, though faster economic recovery could still moderate the pace.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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