Major tech firms have accelerated workforce reductions in 2026 through AI-driven restructuring, with year-to-date totals already surpassing 2025 full-year figures across trackers like Layoffs.fyi (over 128,000 cuts by early September versus 122,600 the prior year) and TrueUp. Companies including Oracle, Amazon, Meta, Microsoft, and Dell have cited AI adoption for efficiency gains, automation of routine tasks, and capital reallocation toward large language model development and infrastructure, often while reporting strong earnings. This has produced a higher daily layoff pace than in 2025, concentrated in software engineering, support, and middle-management roles. Trader consensus at 90.5% for more layoffs reflects these verified trends and continued guidance from hyperscalers, though a sharp H2 slowdown, widespread rehiring in AI-adjacent positions, or broader economic rebound could still moderate the annual total.
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
81% chance
$26,002 Vol.
$26,002 Vol.
30 juin 2027
En hausse
81% chance
$26,002 Vol.
$26,002 Vol.
30 juin 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.Major tech firms have accelerated workforce reductions in 2026 through AI-driven restructuring, with year-to-date totals already surpassing 2025 full-year figures across trackers like Layoffs.fyi (over 128,000 cuts by early September versus 122,600 the prior year) and TrueUp. Companies including Oracle, Amazon, Meta, Microsoft, and Dell have cited AI adoption for efficiency gains, automation of routine tasks, and capital reallocation toward large language model development and infrastructure, often while reporting strong earnings. This has produced a higher daily layoff pace than in 2025, concentrated in software engineering, support, and middle-management roles. Trader consensus at 90.5% for more layoffs reflects these verified trends and continued guidance from hyperscalers, though a sharp H2 slowdown, widespread rehiring in AI-adjacent positions, or broader economic rebound could still moderate the annual total.
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
$26,002Date de fin
1 juil. 2027Marché ouvert
Mar 20, 2026, 2:43 PM ETRésolveur
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 tech firms have accelerated workforce reductions in 2026 through AI-driven restructuring, with year-to-date totals already surpassing 2025 full-year figures across trackers like Layoffs.fyi (over 128,000 cuts by early September versus 122,600 the prior year) and TrueUp. Companies including Oracle, Amazon, Meta, Microsoft, and Dell have cited AI adoption for efficiency gains, automation of routine tasks, and capital reallocation toward large language model development and infrastructure, often while reporting strong earnings. This has produced a higher daily layoff pace than in 2025, concentrated in software engineering, support, and middle-management roles. Trader consensus at 90.5% for more layoffs reflects these verified trends and continued guidance from hyperscalers, though a sharp H2 slowdown, widespread rehiring in AI-adjacent positions, or broader economic rebound could still moderate the annual total.
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
$0Date de fin
1 juil. 2027Marché ouvert
Mar 20, 2026, 2:43 PM ETRésolveur
0x65070be91...Major tech firms have accelerated workforce reductions in 2026 through AI-driven restructuring, with year-to-date totals already surpassing 2025 full-year figures across trackers like Layoffs.fyi (over 128,000 cuts by early September versus 122,600 the prior year) and TrueUp. Companies including Oracle, Amazon, Meta, Microsoft, and Dell have cited AI adoption for efficiency gains, automation of routine tasks, and capital reallocation toward large language model development and infrastructure, often while reporting strong earnings. This has produced a higher daily layoff pace than in 2025, concentrated in software engineering, support, and middle-management roles. Trader consensus at 90.5% for more layoffs reflects these verified trends and continued guidance from hyperscalers, though a sharp H2 slowdown, widespread rehiring in AI-adjacent positions, or broader economic rebound could still moderate the annual total.
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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