Tech companies have announced far more layoffs in 2026 than in 2025, with trackers showing 175,000–205,000 cuts year-to-date versus roughly 246,000 for all of last year. Major firms including Oracle, Amazon, Meta, and Microsoft have executed large rounds explicitly tied to AI infrastructure spending and operating efficiency, while smaller players such as Monday.com have followed suit. AI-linked reductions have risen steadily, reaching 40% of monthly totals in some reports. These verified headcount actions and sustained capital reallocation toward data centers and automation underpin the 79.5% market-implied probability that overall tech layoffs will finish higher than the prior year.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於上升
73% 機率
$25,905 交易量
$25,905 交易量
2027-02-28
上升
73% 機率
$25,905 交易量
$25,905 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.Tech companies have announced far more layoffs in 2026 than in 2025, with trackers showing 175,000–205,000 cuts year-to-date versus roughly 246,000 for all of last year. Major firms including Oracle, Amazon, Meta, and Microsoft have executed large rounds explicitly tied to AI infrastructure spending and operating efficiency, while smaller players such as Monday.com have followed suit. AI-linked reductions have risen steadily, reaching 40% of monthly totals in some reports. These verified headcount actions and sustained capital reallocation toward data centers and automation underpin the 79.5% market-implied probability that overall tech 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.
市場開放時間： Mar 20, 2026, 2:43 PM ET
交易量
$25,905結束日期
2027-02-28市場開放時間
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.Tech companies have announced far more layoffs in 2026 than in 2025, with trackers showing 175,000–205,000 cuts year-to-date versus roughly 246,000 for all of last year. Major firms including Oracle, Amazon, Meta, and Microsoft have executed large rounds explicitly tied to AI infrastructure spending and operating efficiency, while smaller players such as Monday.com have followed suit. AI-linked reductions have risen steadily, reaching 40% of monthly totals in some reports. These verified headcount actions and sustained capital reallocation toward data centers and automation underpin the 79.5% market-implied probability that overall tech 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.
交易量
$25,905結束日期
2027-02-28市場開放時間
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Tech companies have announced far more layoffs in 2026 than in 2025, with trackers showing 175,000–205,000 cuts year-to-date versus roughly 246,000 for all of last year. Major firms including Oracle, Amazon, Meta, and Microsoft have executed large rounds explicitly tied to AI infrastructure spending and operating efficiency, while smaller players such as Monday.com have followed suit. AI-linked reductions have risen steadily, reaching 40% of monthly totals in some reports. These verified headcount actions and sustained capital reallocation toward data centers and automation underpin the 79.5% market-implied probability that overall tech layoffs will finish higher than the prior year.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
Frequently Asked Questions