Strong trader consensus for higher tech layoffs in 2026 stems primarily from the accelerating impact of artificial intelligence adoption, with companies across the sector redirecting resources toward AI infrastructure and automation while trimming headcount. Trackers such as TrueUp and Skillsyncer report 150,000–185,000 tech job cuts already through mid-June, on pace for totals well above 2025 figures, with recent announcements from Meta, Robinhood, and others citing AI-driven restructuring. Layoff rates have risen for consecutive months, up roughly 66% year-over-year in some tallies, as firms address prior over-hiring and pursue leaner AI-assisted operations. Key catalysts ahead include ongoing earnings reports and developer conferences that could accelerate or moderate the trend, though current momentum supports the elevated implied probability.
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
$25,614 交易量
$25,614 交易量
2027-02-28
上升
$25,614 交易量
$25,614 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.Strong trader consensus for higher tech layoffs in 2026 stems primarily from the accelerating impact of artificial intelligence adoption, with companies across the sector redirecting resources toward AI infrastructure and automation while trimming headcount. Trackers such as TrueUp and Skillsyncer report 150,000–185,000 tech job cuts already through mid-June, on pace for totals well above 2025 figures, with recent announcements from Meta, Robinhood, and others citing AI-driven restructuring. Layoff rates have risen for consecutive months, up roughly 66% year-over-year in some tallies, as firms address prior over-hiring and pursue leaner AI-assisted operations. Key catalysts ahead include ongoing earnings reports and developer conferences that could accelerate or moderate the trend, though current momentum supports the elevated implied probability.
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
$25,614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.Strong trader consensus for higher tech layoffs in 2026 stems primarily from the accelerating impact of artificial intelligence adoption, with companies across the sector redirecting resources toward AI infrastructure and automation while trimming headcount. Trackers such as TrueUp and Skillsyncer report 150,000–185,000 tech job cuts already through mid-June, on pace for totals well above 2025 figures, with recent announcements from Meta, Robinhood, and others citing AI-driven restructuring. Layoff rates have risen for consecutive months, up roughly 66% year-over-year in some tallies, as firms address prior over-hiring and pursue leaner AI-assisted operations. Key catalysts ahead include ongoing earnings reports and developer conferences that could accelerate or moderate the trend, though current momentum supports the elevated implied probability.
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
$25,614結束日期
2027-02-28市場開放時間
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Strong trader consensus for higher tech layoffs in 2026 stems primarily from the accelerating impact of artificial intelligence adoption, with companies across the sector redirecting resources toward AI infrastructure and automation while trimming headcount. Trackers such as TrueUp and Skillsyncer report 150,000–185,000 tech job cuts already through mid-June, on pace for totals well above 2025 figures, with recent announcements from Meta, Robinhood, and others citing AI-driven restructuring. Layoff rates have risen for consecutive months, up roughly 66% year-over-year in some tallies, as firms address prior over-hiring and pursue leaner AI-assisted operations. Key catalysts ahead include ongoing earnings reports and developer conferences that could accelerate or moderate the trend, though current momentum supports the elevated implied probability.
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
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