Trader consensus on Polymarket reflects a 67% implied probability for tech layoffs to rise in 2026 versus 2025, driven by accelerating AI-driven workforce restructurings amid year-to-date cuts exceeding 90,000—already 33% above last year's pace per trackers like Layoffs.fyi. Recent catalysts include Cloudflare's elimination of 1,100 roles via AI automation last week, GM's hundreds of IT layoffs to prioritize AI skills on May 11, and LinkedIn's planned 5% staff reduction announced May 13. Meta's 8,000-job wave kicks off May 20 to offset surging AI infrastructure costs, signaling H2 escalation as firms like PayPal and Coinbase redirect capital from headcount to machine learning models and data centers. While overall U.S. layoffs cool, tech's structural pivot sustains elevated risks.
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 reflects a 67% implied probability for tech layoffs to rise in 2026 versus 2025, driven by accelerating AI-driven workforce restructurings amid year-to-date cuts exceeding 90,000—already 33% above last year's pace per trackers like Layoffs.fyi. Recent catalysts include Cloudflare's elimination of 1,100 roles via AI automation last week, GM's hundreds of IT layoffs to prioritize AI skills on May 11, and LinkedIn's planned 5% staff reduction announced May 13. Meta's 8,000-job wave kicks off May 20 to offset surging AI infrastructure costs, signaling H2 escalation as firms like PayPal and Coinbase redirect capital from headcount to machine learning models and data centers. While overall U.S. layoffs cool, tech's structural pivot sustains elevated risks.
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 reflects a 67% implied probability for tech layoffs to rise in 2026 versus 2025, driven by accelerating AI-driven workforce restructurings amid year-to-date cuts exceeding 90,000—already 33% above last year's pace per trackers like Layoffs.fyi. Recent catalysts include Cloudflare's elimination of 1,100 roles via AI automation last week, GM's hundreds of IT layoffs to prioritize AI skills on May 11, and LinkedIn's planned 5% staff reduction announced May 13. Meta's 8,000-job wave kicks off May 20 to offset surging AI infrastructure costs, signaling H2 escalation as firms like PayPal and Coinbase redirect capital from headcount to machine learning models and data centers. While overall U.S. layoffs cool, tech's structural pivot sustains elevated risks.
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 reflects a 67% implied probability for tech layoffs to rise in 2026 versus 2025, driven by accelerating AI-driven workforce restructurings amid year-to-date cuts exceeding 90,000—already 33% above last year's pace per trackers like Layoffs.fyi. Recent catalysts include Cloudflare's elimination of 1,100 roles via AI automation last week, GM's hundreds of IT layoffs to prioritize AI skills on May 11, and LinkedIn's planned 5% staff reduction announced May 13. Meta's 8,000-job wave kicks off May 20 to offset surging AI infrastructure costs, signaling H2 escalation as firms like PayPal and Coinbase redirect capital from headcount to machine learning models and data centers. While overall U.S. layoffs cool, tech's structural pivot sustains elevated risks.
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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Cuidado con los enlaces externos.
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