Major technology firms are accelerating AI-driven restructuring in 2026, with artificial intelligence cited as the leading cause of job cuts across trackers like Challenger, Gray & Christmas and Layoffs.fyi. In the first five months alone, U.S. tech layoffs have already surpassed 100,000–150,000 roles—on pace to exceed 2025 totals of roughly 123,000–177,000—driven by automation replacing routine engineering, sales, and support positions while capital shifts toward large language model development and infrastructure. Companies including Oracle, Amazon, Meta, and Dell announced large reductions in Q1, often explicitly linking cuts to AI efficiencies and cost discipline amid ongoing macroeconomic pressures. Hiring manager surveys reinforce the trend, with over half expecting further reductions and AI as a primary factor. This sustained pace through mid-year underpins the 90% market-implied probability for higher 2026 layoffs.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于上升
$25,361 交易量
$25,361 交易量
2027-02-28
上升
$25,361 交易量
$25,361 交易量
2027-02-28
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, with artificial intelligence cited as the leading cause of job cuts across trackers like Challenger, Gray & Christmas and Layoffs.fyi. In the first five months alone, U.S. tech layoffs have already surpassed 100,000–150,000 roles—on pace to exceed 2025 totals of roughly 123,000–177,000—driven by automation replacing routine engineering, sales, and support positions while capital shifts toward large language model development and infrastructure. Companies including Oracle, Amazon, Meta, and Dell announced large reductions in Q1, often explicitly linking cuts to AI efficiencies and cost discipline amid ongoing macroeconomic pressures. Hiring manager surveys reinforce the trend, with over half expecting further reductions and AI as a primary factor. This sustained pace through mid-year underpins the 90% market-implied probability for higher 2026 layoffs.
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.
市场开放时间： Mar 20, 2026, 2:43 PM ET
交易量
$25,361结束日期
2027-02-28市场开放时间
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, with artificial intelligence cited as the leading cause of job cuts across trackers like Challenger, Gray & Christmas and Layoffs.fyi. In the first five months alone, U.S. tech layoffs have already surpassed 100,000–150,000 roles—on pace to exceed 2025 totals of roughly 123,000–177,000—driven by automation replacing routine engineering, sales, and support positions while capital shifts toward large language model development and infrastructure. Companies including Oracle, Amazon, Meta, and Dell announced large reductions in Q1, often explicitly linking cuts to AI efficiencies and cost discipline amid ongoing macroeconomic pressures. Hiring manager surveys reinforce the trend, with over half expecting further reductions and AI as a primary factor. This sustained pace through mid-year underpins the 90% market-implied probability for higher 2026 layoffs.
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.
交易量
$25,361结束日期
2027-02-28市场开放时间
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major technology firms are accelerating AI-driven restructuring in 2026, with artificial intelligence cited as the leading cause of job cuts across trackers like Challenger, Gray & Christmas and Layoffs.fyi. In the first five months alone, U.S. tech layoffs have already surpassed 100,000–150,000 roles—on pace to exceed 2025 totals of roughly 123,000–177,000—driven by automation replacing routine engineering, sales, and support positions while capital shifts toward large language model development and infrastructure. Companies including Oracle, Amazon, Meta, and Dell announced large reductions in Q1, often explicitly linking cuts to AI efficiencies and cost discipline amid ongoing macroeconomic pressures. Hiring manager surveys reinforce the trend, with over half expecting further reductions and AI as a primary factor. This sustained pace through mid-year underpins the 90% market-implied probability for higher 2026 layoffs.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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