Major technology firms are accelerating workforce reductions in 2026 to fund artificial intelligence infrastructure and large language model development, driving the 84.5% market-implied odds for higher tech layoffs than in 2025. Early-year figures already exceed 100,000 cuts globally, with the first quarter alone posting 81,700 roles eliminated—the highest quarterly total since 2023—and a 33% increase over the comparable period last year. Meta, Oracle, Amazon, and Microsoft have cited AI automation and efficiency gains for thousands of specific reductions, while surveys of U.S. hiring managers show 55% expecting further cuts this year, with 44% naming AI as the primary driver. Upcoming earnings reports and developer conferences may introduce additional catalysts if they confirm ongoing shifts from traditional engineering roles toward AI-assisted operations.
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
$25,318 Vol.
$25,318 Vol.
28 fev 2027
Aumentarão
$25,318 Vol.
$25,318 Vol.
28 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 technology firms are accelerating workforce reductions in 2026 to fund artificial intelligence infrastructure and large language model development, driving the 84.5% market-implied odds for higher tech layoffs than in 2025. Early-year figures already exceed 100,000 cuts globally, with the first quarter alone posting 81,700 roles eliminated—the highest quarterly total since 2023—and a 33% increase over the comparable period last year. Meta, Oracle, Amazon, and Microsoft have cited AI automation and efficiency gains for thousands of specific reductions, while surveys of U.S. hiring managers show 55% expecting further cuts this year, with 44% naming AI as the primary driver. Upcoming earnings reports and developer conferences may introduce additional catalysts if they confirm ongoing shifts from traditional engineering roles toward AI-assisted operations.
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
$25,318Data 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 technology firms are accelerating workforce reductions in 2026 to fund artificial intelligence infrastructure and large language model development, driving the 84.5% market-implied odds for higher tech layoffs than in 2025. Early-year figures already exceed 100,000 cuts globally, with the first quarter alone posting 81,700 roles eliminated—the highest quarterly total since 2023—and a 33% increase over the comparable period last year. Meta, Oracle, Amazon, and Microsoft have cited AI automation and efficiency gains for thousands of specific reductions, while surveys of U.S. hiring managers show 55% expecting further cuts this year, with 44% naming AI as the primary driver. Upcoming earnings reports and developer conferences may introduce additional catalysts if they confirm ongoing shifts from traditional engineering roles toward AI-assisted operations.
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
$25,318Data de Término
28 fev 2027Mercado Aberto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major technology firms are accelerating workforce reductions in 2026 to fund artificial intelligence infrastructure and large language model development, driving the 84.5% market-implied odds for higher tech layoffs than in 2025. Early-year figures already exceed 100,000 cuts globally, with the first quarter alone posting 81,700 roles eliminated—the highest quarterly total since 2023—and a 33% increase over the comparable period last year. Meta, Oracle, Amazon, and Microsoft have cited AI automation and efficiency gains for thousands of specific reductions, while surveys of U.S. hiring managers show 55% expecting further cuts this year, with 44% naming AI as the primary driver. Upcoming earnings reports and developer conferences may introduce additional catalysts if they confirm ongoing shifts from traditional engineering roles toward AI-assisted operations.
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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