Major technology firms are accelerating workforce reductions in 2026 to redirect resources toward artificial intelligence infrastructure and model development, with year-to-date tech layoffs already reaching 85,000–148,000—a 33% increase over the same period in 2025 according to Challenger, Gray & Christmas and TrueUp data. Companies including Meta, Amazon, Cisco, and others have cited AI adoption as the leading rationale for cuts, enabling higher capital spending on data centers and large language models while trimming non-core roles. This pattern has positioned 2026 on track to surpass the prior year’s totals, sustaining trader consensus around an 88.5% implied probability for increased layoffs. Key near-term catalysts include ongoing earnings reports and AI investment announcements that could reinforce or moderate the trend.
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
$25,326 交易量
$25,326 交易量
2027-02-28
上升
$25,326 交易量
$25,326 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 workforce reductions in 2026 to redirect resources toward artificial intelligence infrastructure and model development, with year-to-date tech layoffs already reaching 85,000–148,000—a 33% increase over the same period in 2025 according to Challenger, Gray & Christmas and TrueUp data. Companies including Meta, Amazon, Cisco, and others have cited AI adoption as the leading rationale for cuts, enabling higher capital spending on data centers and large language models while trimming non-core roles. This pattern has positioned 2026 on track to surpass the prior year’s totals, sustaining trader consensus around an 88.5% implied probability for increased layoffs. Key near-term catalysts include ongoing earnings reports and AI investment announcements that could reinforce or moderate the trend.
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
$25,326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 workforce reductions in 2026 to redirect resources toward artificial intelligence infrastructure and model development, with year-to-date tech layoffs already reaching 85,000–148,000—a 33% increase over the same period in 2025 according to Challenger, Gray & Christmas and TrueUp data. Companies including Meta, Amazon, Cisco, and others have cited AI adoption as the leading rationale for cuts, enabling higher capital spending on data centers and large language models while trimming non-core roles. This pattern has positioned 2026 on track to surpass the prior year’s totals, sustaining trader consensus around an 88.5% implied probability for increased layoffs. Key near-term catalysts include ongoing earnings reports and AI investment announcements that could reinforce or moderate the trend.
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
$25,326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 workforce reductions in 2026 to redirect resources toward artificial intelligence infrastructure and model development, with year-to-date tech layoffs already reaching 85,000–148,000—a 33% increase over the same period in 2025 according to Challenger, Gray & Christmas and TrueUp data. Companies including Meta, Amazon, Cisco, and others have cited AI adoption as the leading rationale for cuts, enabling higher capital spending on data centers and large language models while trimming non-core roles. This pattern has positioned 2026 on track to surpass the prior year’s totals, sustaining trader consensus around an 88.5% implied probability for increased layoffs. Key near-term catalysts include ongoing earnings reports and AI investment announcements that could reinforce or moderate the trend.
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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