Major technology firms are accelerating AI-driven restructuring in 2026, replacing routine coding, project management, and support roles with large language models and agentic systems that handle tasks more efficiently. Year-to-date tech layoffs have already reached 85,000–100,000, up 33 percent from the same period in 2025, with April alone seeing over 33,000 cuts at companies including Meta, Microsoft, Cloudflare, Amazon, and Intel. These moves reflect deliberate shifts toward leaner AI-first operating models rather than broad economic distress, as overall U.S. layoffs declined sharply during the same timeframe. Traders see continued momentum from ongoing automation investments and efficiency mandates through mid-year, though any sudden reversal in AI capital spending could 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.Major technology firms are accelerating AI-driven restructuring in 2026, replacing routine coding, project management, and support roles with large language models and agentic systems that handle tasks more efficiently. Year-to-date tech layoffs have already reached 85,000–100,000, up 33 percent from the same period in 2025, with April alone seeing over 33,000 cuts at companies including Meta, Microsoft, Cloudflare, Amazon, and Intel. These moves reflect deliberate shifts toward leaner AI-first operating models rather than broad economic distress, as overall U.S. layoffs declined sharply during the same timeframe. Traders see continued momentum from ongoing automation investments and efficiency mandates through mid-year, though any sudden reversal in AI capital spending could 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.Major technology firms are accelerating AI-driven restructuring in 2026, replacing routine coding, project management, and support roles with large language models and agentic systems that handle tasks more efficiently. Year-to-date tech layoffs have already reached 85,000–100,000, up 33 percent from the same period in 2025, with April alone seeing over 33,000 cuts at companies including Meta, Microsoft, Cloudflare, Amazon, and Intel. These moves reflect deliberate shifts toward leaner AI-first operating models rather than broad economic distress, as overall U.S. layoffs declined sharply during the same timeframe. Traders see continued momentum from ongoing automation investments and efficiency mandates through mid-year, though any sudden reversal in AI capital spending could 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...Major technology firms are accelerating AI-driven restructuring in 2026, replacing routine coding, project management, and support roles with large language models and agentic systems that handle tasks more efficiently. Year-to-date tech layoffs have already reached 85,000–100,000, up 33 percent from the same period in 2025, with April alone seeing over 33,000 cuts at companies including Meta, Microsoft, Cloudflare, Amazon, and Intel. These moves reflect deliberate shifts toward leaner AI-first operating models rather than broad economic distress, as overall U.S. layoffs declined sharply during the same timeframe. Traders see continued momentum from ongoing automation investments and efficiency mandates through mid-year, though any sudden reversal in AI capital spending could 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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Cuidado con los enlaces externos.
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