**AI-driven restructuring continues to drive elevated tech layoffs in 2026, with trackers reporting 129,000–172,000+ cuts year-to-date across dozens of firms.** Major players including Oracle, Meta, Amazon, Microsoft, Intel, and Dell have announced large rounds explicitly tied to automation, efficiency gains, and reallocating resources toward AI infrastructure and model development. The pace exceeds 2025 levels, with AI cited as the leading reason in outplacement data for multiple months. Profitable companies are trimming corporate and middle-management layers to fund billions in capital spending on data centers and capabilities. While sustained economic strength or faster AI job creation in new roles could moderate totals, current momentum and repeated announcements support trader consensus that full-year 2026 layoffs will finish higher than the prior year.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoDemissões de tecnologia para cima ou para baixo em 2026?
Demissões de tecnologia para cima ou para baixo em 2026?
Aumentarão
88% chance
$25,972 Vol.
$25,972 Vol.
27 fev 2027
Aumentarão
88% chance
$25,972 Vol.
$25,972 Vol.
27 fev 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.**AI-driven restructuring continues to drive elevated tech layoffs in 2026, with trackers reporting 129,000–172,000+ cuts year-to-date across dozens of firms.** Major players including Oracle, Meta, Amazon, Microsoft, Intel, and Dell have announced large rounds explicitly tied to automation, efficiency gains, and reallocating resources toward AI infrastructure and model development. The pace exceeds 2025 levels, with AI cited as the leading reason in outplacement data for multiple months. Profitable companies are trimming corporate and middle-management layers to fund billions in capital spending on data centers and capabilities. While sustained economic strength or faster AI job creation in new roles could moderate totals, current momentum and repeated announcements support trader consensus that full-year 2026 layoffs will finish higher than the prior year.
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 Aberto: Mar 20, 2026, 2:43 PM ET
Volume
$25,972Data de Término
28 fev 2027Mercado Aberto
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.**AI-driven restructuring continues to drive elevated tech layoffs in 2026, with trackers reporting 129,000–172,000+ cuts year-to-date across dozens of firms.** Major players including Oracle, Meta, Amazon, Microsoft, Intel, and Dell have announced large rounds explicitly tied to automation, efficiency gains, and reallocating resources toward AI infrastructure and model development. The pace exceeds 2025 levels, with AI cited as the leading reason in outplacement data for multiple months. Profitable companies are trimming corporate and middle-management layers to fund billions in capital spending on data centers and capabilities. While sustained economic strength or faster AI job creation in new roles could moderate totals, current momentum and repeated announcements support trader consensus that full-year 2026 layoffs will finish higher than the prior year.
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.
Volume
$25,972Data de Término
28 fev 2027Mercado Aberto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...**AI-driven restructuring continues to drive elevated tech layoffs in 2026, with trackers reporting 129,000–172,000+ cuts year-to-date across dozens of firms.** Major players including Oracle, Meta, Amazon, Microsoft, Intel, and Dell have announced large rounds explicitly tied to automation, efficiency gains, and reallocating resources toward AI infrastructure and model development. The pace exceeds 2025 levels, with AI cited as the leading reason in outplacement data for multiple months. Profitable companies are trimming corporate and middle-management layers to fund billions in capital spending on data centers and capabilities. While sustained economic strength or faster AI job creation in new roles could moderate totals, current momentum and repeated announcements support trader consensus that full-year 2026 layoffs will finish higher than the prior year.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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