Trader consensus on Polymarket reflects an 85% implied probability for tech layoffs rising in 2026 versus 2025, driven by a explosive Q1 surge exceeding 85,000 job cuts across over 200 companies—outpacing last year's full-year total early on. Major players like Amazon, Meta, Oracle, Intel, Block, and Atlassian have announced thousands of reductions, citing AI-driven restructuring, automation efficiencies, and economic headwinds amid high interest rates. Trackers such as TrueUp report a 40-50% year-over-year increase in daily cuts, with 20% explicitly tied to artificial intelligence shifts. Upcoming Q2 earnings calls and further AI infrastructure investments signal sustained pressure, though a sharp economic rebound could temper the trajectory.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · AktualisiertSteigen
$10,280 Vol.
$10,280 Vol.
28. Feb. 2027
Steigen
$10,280 Vol.
$10,280 Vol.
28. Feb. 2027
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.Trader consensus on Polymarket reflects an 85% implied probability for tech layoffs rising in 2026 versus 2025, driven by a explosive Q1 surge exceeding 85,000 job cuts across over 200 companies—outpacing last year's full-year total early on. Major players like Amazon, Meta, Oracle, Intel, Block, and Atlassian have announced thousands of reductions, citing AI-driven restructuring, automation efficiencies, and economic headwinds amid high interest rates. Trackers such as TrueUp report a 40-50% year-over-year increase in daily cuts, with 20% explicitly tied to artificial intelligence shifts. Upcoming Q2 earnings calls and further AI infrastructure investments signal sustained pressure, though a sharp economic rebound could temper the trajectory.
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.
Markt eröffnet: Mar 20, 2026, 2:43 PM ET
Volumen
$10,280Enddatum
28. Feb. 2027Markt eröffnet
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.Trader consensus on Polymarket reflects an 85% implied probability for tech layoffs rising in 2026 versus 2025, driven by a explosive Q1 surge exceeding 85,000 job cuts across over 200 companies—outpacing last year's full-year total early on. Major players like Amazon, Meta, Oracle, Intel, Block, and Atlassian have announced thousands of reductions, citing AI-driven restructuring, automation efficiencies, and economic headwinds amid high interest rates. Trackers such as TrueUp report a 40-50% year-over-year increase in daily cuts, with 20% explicitly tied to artificial intelligence shifts. Upcoming Q2 earnings calls and further AI infrastructure investments signal sustained pressure, though a sharp economic rebound could temper the trajectory.
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.
Volumen
$10,280Enddatum
28. Feb. 2027Markt eröffnet
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus on Polymarket reflects an 85% implied probability for tech layoffs rising in 2026 versus 2025, driven by a explosive Q1 surge exceeding 85,000 job cuts across over 200 companies—outpacing last year's full-year total early on. Major players like Amazon, Meta, Oracle, Intel, Block, and Atlassian have announced thousands of reductions, citing AI-driven restructuring, automation efficiencies, and economic headwinds amid high interest rates. Trackers such as TrueUp report a 40-50% year-over-year increase in daily cuts, with 20% explicitly tied to artificial intelligence shifts. Upcoming Q2 earnings calls and further AI infrastructure investments signal sustained pressure, though a sharp economic rebound could temper the trajectory.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · Aktualisiert
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Vorsicht bei externen Links.
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