**Strong trader consensus on rising tech layoffs in 2026 stems from the rapid pace of AI-driven restructuring already underway.** Through mid-June, trackers such as TrueUp and Challenger, Gray & Christmas report roughly 150,000–184,000 tech job cuts year-to-date, with Q1 alone seeing 52,000 announcements—a 40% increase over the prior year—and overall figures running 66% higher than the comparable 2025 period. Major firms including Oracle, Amazon, Meta, and Cisco have explicitly tied reductions to reallocating payroll toward AI infrastructure, data centers, and automation of routine coding, support, and operations roles. This structural shift, rather than cyclical over-hiring corrections, has placed 2026 on track to surpass 2025 totals (estimated near 245,000–447,000 depending on the source), with earnings season and further AI capex plans likely to sustain the trend.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourEn hausse
$25,394 Vol.
$25,394 Vol.
28 févr. 2027
En hausse
$25,394 Vol.
$25,394 Vol.
28 févr. 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.**Strong trader consensus on rising tech layoffs in 2026 stems from the rapid pace of AI-driven restructuring already underway.** Through mid-June, trackers such as TrueUp and Challenger, Gray & Christmas report roughly 150,000–184,000 tech job cuts year-to-date, with Q1 alone seeing 52,000 announcements—a 40% increase over the prior year—and overall figures running 66% higher than the comparable 2025 period. Major firms including Oracle, Amazon, Meta, and Cisco have explicitly tied reductions to reallocating payroll toward AI infrastructure, data centers, and automation of routine coding, support, and operations roles. This structural shift, rather than cyclical over-hiring corrections, has placed 2026 on track to surpass 2025 totals (estimated near 245,000–447,000 depending on the source), with earnings season and further AI capex plans likely to sustain 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.
Marché ouvert : Mar 20, 2026, 2:43 PM ET
Volume
$25,394Date de fin
28 févr. 2027Marché ouvert
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 on rising tech layoffs in 2026 stems from the rapid pace of AI-driven restructuring already underway.** Through mid-June, trackers such as TrueUp and Challenger, Gray & Christmas report roughly 150,000–184,000 tech job cuts year-to-date, with Q1 alone seeing 52,000 announcements—a 40% increase over the prior year—and overall figures running 66% higher than the comparable 2025 period. Major firms including Oracle, Amazon, Meta, and Cisco have explicitly tied reductions to reallocating payroll toward AI infrastructure, data centers, and automation of routine coding, support, and operations roles. This structural shift, rather than cyclical over-hiring corrections, has placed 2026 on track to surpass 2025 totals (estimated near 245,000–447,000 depending on the source), with earnings season and further AI capex plans likely to sustain 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.
Volume
$25,394Date de fin
28 févr. 2027Marché ouvert
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...**Strong trader consensus on rising tech layoffs in 2026 stems from the rapid pace of AI-driven restructuring already underway.** Through mid-June, trackers such as TrueUp and Challenger, Gray & Christmas report roughly 150,000–184,000 tech job cuts year-to-date, with Q1 alone seeing 52,000 announcements—a 40% increase over the prior year—and overall figures running 66% higher than the comparable 2025 period. Major firms including Oracle, Amazon, Meta, and Cisco have explicitly tied reductions to reallocating payroll toward AI infrastructure, data centers, and automation of routine coding, support, and operations roles. This structural shift, rather than cyclical over-hiring corrections, has placed 2026 on track to surpass 2025 totals (estimated near 245,000–447,000 depending on the source), with earnings season and further AI capex plans likely to sustain the trend.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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