Major tech firms have announced substantial workforce reductions in 2026, with trackers reporting over 110,000 to 140,000 positions cut by mid-May, already exceeding the pace of 2025. Q1 alone saw roughly 82,000 layoffs—the highest quarterly total since early 2023—driven by AI automation that enables efficiency gains in coding, customer support, and operations, alongside restructuring at companies such as Meta (8,000 roles), Amazon (16,000), Oracle (up to 30,000), and Cisco. Hiring managers cite AI as a top driver in recent surveys, and ongoing capital shifts toward AI infrastructure continue to pressure headcount even as revenues grow. These verified announcements and structural trends underpin the strong market-implied odds favoring higher layoffs for the full year.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоТехнологические увольнения вверх или вниз в 2026?
Технологические увольнения вверх или вниз в 2026?
Увеличатся
$25,325 Объем
$25,325 Объем
28 фев. 2027 г.
Увеличатся
$25,325 Объем
$25,325 Объем
28 фев. 2027 г.
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 have announced substantial workforce reductions in 2026, with trackers reporting over 110,000 to 140,000 positions cut by mid-May, already exceeding the pace of 2025. Q1 alone saw roughly 82,000 layoffs—the highest quarterly total since early 2023—driven by AI automation that enables efficiency gains in coding, customer support, and operations, alongside restructuring at companies such as Meta (8,000 roles), Amazon (16,000), Oracle (up to 30,000), and Cisco. Hiring managers cite AI as a top driver in recent surveys, and ongoing capital shifts toward AI infrastructure continue to pressure headcount even as revenues grow. These verified announcements and structural trends underpin the strong market-implied odds favoring higher layoffs for the full 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.
Открытие рынка: Mar 20, 2026, 2:43 PM ET
Объем
$25,325Дата окончания
28 фев. 2027 г.Открытие рынка
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 have announced substantial workforce reductions in 2026, with trackers reporting over 110,000 to 140,000 positions cut by mid-May, already exceeding the pace of 2025. Q1 alone saw roughly 82,000 layoffs—the highest quarterly total since early 2023—driven by AI automation that enables efficiency gains in coding, customer support, and operations, alongside restructuring at companies such as Meta (8,000 roles), Amazon (16,000), Oracle (up to 30,000), and Cisco. Hiring managers cite AI as a top driver in recent surveys, and ongoing capital shifts toward AI infrastructure continue to pressure headcount even as revenues grow. These verified announcements and structural trends underpin the strong market-implied odds favoring higher layoffs for the full 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.
Объем
$25,325Дата окончания
28 фев. 2027 г.Открытие рынка
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major tech firms have announced substantial workforce reductions in 2026, with trackers reporting over 110,000 to 140,000 positions cut by mid-May, already exceeding the pace of 2025. Q1 alone saw roughly 82,000 layoffs—the highest quarterly total since early 2023—driven by AI automation that enables efficiency gains in coding, customer support, and operations, alongside restructuring at companies such as Meta (8,000 roles), Amazon (16,000), Oracle (up to 30,000), and Cisco. Hiring managers cite AI as a top driver in recent surveys, and ongoing capital shifts toward AI infrastructure continue to pressure headcount even as revenues grow. These verified announcements and structural trends underpin the strong market-implied odds favoring higher layoffs for the full year.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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