Trader consensus on Polymarket prices "Up" for tech layoffs in 2026 at an 85.5% implied probability, driven by accelerating AI-fueled restructurings that have already surpassed 113,000 job cuts across 179 events as of early May—averaging nearly 900 daily, up from 2025's pace. Major players like Meta (8,000 cuts, or 10% of staff, announced April 23), Snap (16% workforce reduction April 15), and Oracle (30,000) explicitly cite artificial intelligence efficiencies and automation as catalysts, enabling reallocation to AI development amid softening demand for legacy roles. Q1 alone logged 81,747 layoffs, the highest quarterly total since 2024, signaling structural shifts over cyclical downturns. Watch Q2 earnings for further announcements that could cement or challenge this trajectory.
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
$25,123 Vol.
$25,123 Vol.
28 feb 2027
Aumentarán
$25,123 Vol.
$25,123 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 prices "Up" for tech layoffs in 2026 at an 85.5% implied probability, driven by accelerating AI-fueled restructurings that have already surpassed 113,000 job cuts across 179 events as of early May—averaging nearly 900 daily, up from 2025's pace. Major players like Meta (8,000 cuts, or 10% of staff, announced April 23), Snap (16% workforce reduction April 15), and Oracle (30,000) explicitly cite artificial intelligence efficiencies and automation as catalysts, enabling reallocation to AI development amid softening demand for legacy roles. Q1 alone logged 81,747 layoffs, the highest quarterly total since 2024, signaling structural shifts over cyclical downturns. Watch Q2 earnings for further announcements that could cement or challenge this trajectory.
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
$25,123Fecha 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 prices "Up" for tech layoffs in 2026 at an 85.5% implied probability, driven by accelerating AI-fueled restructurings that have already surpassed 113,000 job cuts across 179 events as of early May—averaging nearly 900 daily, up from 2025's pace. Major players like Meta (8,000 cuts, or 10% of staff, announced April 23), Snap (16% workforce reduction April 15), and Oracle (30,000) explicitly cite artificial intelligence efficiencies and automation as catalysts, enabling reallocation to AI development amid softening demand for legacy roles. Q1 alone logged 81,747 layoffs, the highest quarterly total since 2024, signaling structural shifts over cyclical downturns. Watch Q2 earnings for further announcements that could cement or challenge this trajectory.
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
$25,123Fecha de finalización
28 feb 2027Mercado abierto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus on Polymarket prices "Up" for tech layoffs in 2026 at an 85.5% implied probability, driven by accelerating AI-fueled restructurings that have already surpassed 113,000 job cuts across 179 events as of early May—averaging nearly 900 daily, up from 2025's pace. Major players like Meta (8,000 cuts, or 10% of staff, announced April 23), Snap (16% workforce reduction April 15), and Oracle (30,000) explicitly cite artificial intelligence efficiencies and automation as catalysts, enabling reallocation to AI development amid softening demand for legacy roles. Q1 alone logged 81,747 layoffs, the highest quarterly total since 2024, signaling structural shifts over cyclical downturns. Watch Q2 earnings for further announcements that could cement or challenge this trajectory.
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
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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