Major tech firms continue restructuring to redirect resources toward artificial intelligence initiatives, driving trader consensus toward an 82% implied probability that 2026 information-sector layoffs will exceed 2025’s 447,000 total per FRED data. Year-to-date trackers such as TrueUp and layoffs.fyi show 174,000–206,000 tech roles eliminated through early August at a faster daily pace than last year, with companies including Microsoft (4,800 positions in July), Oracle, Amazon, and Meta citing AI automation, efficiency gains from large language models, and heavy capital spending on model training as primary factors. Overall U.S. layoffs have slowed, yet the tech sector accounts for over 30% of cuts amid ongoing workflow automation. Remaining earnings calls and any shifts in AI investment pace represent the main near-term variables that could alter the annual comparison.
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
79% chance
$25,826 Vol.
$25,826 Vol.
28 févr. 2027
En hausse
79% chance
$25,826 Vol.
$25,826 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.Major tech firms continue restructuring to redirect resources toward artificial intelligence initiatives, driving trader consensus toward an 82% implied probability that 2026 information-sector layoffs will exceed 2025’s 447,000 total per FRED data. Year-to-date trackers such as TrueUp and layoffs.fyi show 174,000–206,000 tech roles eliminated through early August at a faster daily pace than last year, with companies including Microsoft (4,800 positions in July), Oracle, Amazon, and Meta citing AI automation, efficiency gains from large language models, and heavy capital spending on model training as primary factors. Overall U.S. layoffs have slowed, yet the tech sector accounts for over 30% of cuts amid ongoing workflow automation. Remaining earnings calls and any shifts in AI investment pace represent the main near-term variables that could alter the annual comparison.
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
$25,826Date 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.Major tech firms continue restructuring to redirect resources toward artificial intelligence initiatives, driving trader consensus toward an 82% implied probability that 2026 information-sector layoffs will exceed 2025’s 447,000 total per FRED data. Year-to-date trackers such as TrueUp and layoffs.fyi show 174,000–206,000 tech roles eliminated through early August at a faster daily pace than last year, with companies including Microsoft (4,800 positions in July), Oracle, Amazon, and Meta citing AI automation, efficiency gains from large language models, and heavy capital spending on model training as primary factors. Overall U.S. layoffs have slowed, yet the tech sector accounts for over 30% of cuts amid ongoing workflow automation. Remaining earnings calls and any shifts in AI investment pace represent the main near-term variables that could alter the annual comparison.
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
$25,826Date de fin
28 févr. 2027Marché ouvert
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major tech firms continue restructuring to redirect resources toward artificial intelligence initiatives, driving trader consensus toward an 82% implied probability that 2026 information-sector layoffs will exceed 2025’s 447,000 total per FRED data. Year-to-date trackers such as TrueUp and layoffs.fyi show 174,000–206,000 tech roles eliminated through early August at a faster daily pace than last year, with companies including Microsoft (4,800 positions in July), Oracle, Amazon, and Meta citing AI automation, efficiency gains from large language models, and heavy capital spending on model training as primary factors. Overall U.S. layoffs have slowed, yet the tech sector accounts for over 30% of cuts amid ongoing workflow automation. Remaining earnings calls and any shifts in AI investment pace represent the main near-term variables that could alter the annual comparison.
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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