Major tech firms including Oracle, Amazon, Meta, Intel, and Microsoft have driven 2026 layoffs well ahead of 2025 pace through AI-linked restructuring, with year-to-date totals already matching or exceeding prior-year full-year figures across trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas. Companies cite automation of legacy roles, budget shifts toward AI infrastructure and model development, and correction of pandemic-era hiring as they announce cuts while raising capital expenditure forecasts into the hundreds of billions. This reallocation has made AI the most frequently stated reason for job reductions for multiple consecutive months. Still, a sharp H2 slowdown could occur if AI tools deliver faster productivity gains that stabilize headcount or if broader economic conditions improve hiring demand.
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.Major tech firms including Oracle, Amazon, Meta, Intel, and Microsoft have driven 2026 layoffs well ahead of 2025 pace through AI-linked restructuring, with year-to-date totals already matching or exceeding prior-year full-year figures across trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas. Companies cite automation of legacy roles, budget shifts toward AI infrastructure and model development, and correction of pandemic-era hiring as they announce cuts while raising capital expenditure forecasts into the hundreds of billions. This reallocation has made AI the most frequently stated reason for job reductions for multiple consecutive months. Still, a sharp H2 slowdown could occur if AI tools deliver faster productivity gains that stabilize headcount or if broader economic conditions improve hiring demand.
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.Major tech firms including Oracle, Amazon, Meta, Intel, and Microsoft have driven 2026 layoffs well ahead of 2025 pace through AI-linked restructuring, with year-to-date totals already matching or exceeding prior-year full-year figures across trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas. Companies cite automation of legacy roles, budget shifts toward AI infrastructure and model development, and correction of pandemic-era hiring as they announce cuts while raising capital expenditure forecasts into the hundreds of billions. This reallocation has made AI the most frequently stated reason for job reductions for multiple consecutive months. Still, a sharp H2 slowdown could occur if AI tools deliver faster productivity gains that stabilize headcount or if broader economic conditions improve hiring demand.
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...Major tech firms including Oracle, Amazon, Meta, Intel, and Microsoft have driven 2026 layoffs well ahead of 2025 pace through AI-linked restructuring, with year-to-date totals already matching or exceeding prior-year full-year figures across trackers like Layoffs.fyi, TrueUp, and Challenger, Gray & Christmas. Companies cite automation of legacy roles, budget shifts toward AI infrastructure and model development, and correction of pandemic-era hiring as they announce cuts while raising capital expenditure forecasts into the hundreds of billions. This reallocation has made AI the most frequently stated reason for job reductions for multiple consecutive months. Still, a sharp H2 slowdown could occur if AI tools deliver faster productivity gains that stabilize headcount or if broader economic conditions improve hiring demand.
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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