**Tech layoffs in 2026 are on pace to exceed 2025 totals by a wide margin, with year-to-date figures already reaching 150,000–184,000 impacted workers across major trackers like TrueUp and Layoffs.fyi—roughly matching or surpassing full-year 2025 counts of 122,000–154,000.** The dominant driver is AI adoption, as companies including Meta, Amazon, Microsoft, Cisco, and Salesforce cite large language models and automation for productivity gains that reduce headcount in software engineering, support, and operations roles. This shift follows 2025's post-pandemic adjustments and has accelerated in 2026, with reports noting a 66% rise in tech cuts versus the prior year and hiring managers expecting AI as a top layoff factor. Ongoing restructuring at scale, rather than isolated events, underpins trader consensus for an "Up" outcome at 90% implied probability. Key near-term catalysts include further earnings calls and efficiency announcements through year-end.
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
$25,394 交易量
$25,394 交易量
2027-02-28
上升
$25,394 交易量
$25,394 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 layoffs in 2026 are on pace to exceed 2025 totals by a wide margin, with year-to-date figures already reaching 150,000–184,000 impacted workers across major trackers like TrueUp and Layoffs.fyi—roughly matching or surpassing full-year 2025 counts of 122,000–154,000.**
The dominant driver is AI adoption, as companies including Meta, Amazon, Microsoft, Cisco, and Salesforce cite large language models and automation for productivity gains that reduce headcount in software engineering, support, and operations roles. This shift follows 2025's post-pandemic adjustments and has accelerated in 2026, with reports noting a 66% rise in tech cuts versus the prior year and hiring managers expecting AI as a top layoff factor. Ongoing restructuring at scale, rather than isolated events, underpins trader consensus for an "Up" outcome at 90% implied probability. Key near-term catalysts include further earnings calls and efficiency announcements through year-end.
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
$25,394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.**Tech layoffs in 2026 are on pace to exceed 2025 totals by a wide margin, with year-to-date figures already reaching 150,000–184,000 impacted workers across major trackers like TrueUp and Layoffs.fyi—roughly matching or surpassing full-year 2025 counts of 122,000–154,000.**
The dominant driver is AI adoption, as companies including Meta, Amazon, Microsoft, Cisco, and Salesforce cite large language models and automation for productivity gains that reduce headcount in software engineering, support, and operations roles. This shift follows 2025's post-pandemic adjustments and has accelerated in 2026, with reports noting a 66% rise in tech cuts versus the prior year and hiring managers expecting AI as a top layoff factor. Ongoing restructuring at scale, rather than isolated events, underpins trader consensus for an "Up" outcome at 90% implied probability. Key near-term catalysts include further earnings calls and efficiency announcements through year-end.
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
$25,394结束日期
2027-02-28市场开放时间
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...**Tech layoffs in 2026 are on pace to exceed 2025 totals by a wide margin, with year-to-date figures already reaching 150,000–184,000 impacted workers across major trackers like TrueUp and Layoffs.fyi—roughly matching or surpassing full-year 2025 counts of 122,000–154,000.** The dominant driver is AI adoption, as companies including Meta, Amazon, Microsoft, Cisco, and Salesforce cite large language models and automation for productivity gains that reduce headcount in software engineering, support, and operations roles. This shift follows 2025's post-pandemic adjustments and has accelerated in 2026, with reports noting a 66% rise in tech cuts versus the prior year and hiring managers expecting AI as a top layoff factor. Ongoing restructuring at scale, rather than isolated events, underpins trader consensus for an "Up" outcome at 90% implied probability. Key near-term catalysts include further earnings calls and efficiency announcements through year-end.
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。
常见问题