Major tech firms continue accelerating workforce reductions in 2026 through AI-driven restructuring, with recent announcements from Cisco, LinkedIn, Coinbase, and Cloudflare citing efficiency gains from automated systems and large language model deployment. Data trackers show 2026 layoffs already pacing ahead of 2025 totals, fueled by companies reallocating resources from legacy roles to AI infrastructure and capabilities. Surveys of hiring managers indicate over half expect further cuts, with artificial intelligence named as the top factor in nearly half of cases. These verified shifts in corporate strategy, alongside ongoing macroeconomic pressures, underpin the strong trader consensus reflected in current market-implied odds for higher annual tech layoffs.
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
$25,313 Vol.
$25,313 Vol.
28 févr. 2027
En hausse
$25,313 Vol.
$25,313 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 accelerating workforce reductions in 2026 through AI-driven restructuring, with recent announcements from Cisco, LinkedIn, Coinbase, and Cloudflare citing efficiency gains from automated systems and large language model deployment. Data trackers show 2026 layoffs already pacing ahead of 2025 totals, fueled by companies reallocating resources from legacy roles to AI infrastructure and capabilities. Surveys of hiring managers indicate over half expect further cuts, with artificial intelligence named as the top factor in nearly half of cases. These verified shifts in corporate strategy, alongside ongoing macroeconomic pressures, underpin the strong trader consensus reflected in current market-implied odds for higher annual tech layoffs.
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
$25,313Date 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 accelerating workforce reductions in 2026 through AI-driven restructuring, with recent announcements from Cisco, LinkedIn, Coinbase, and Cloudflare citing efficiency gains from automated systems and large language model deployment. Data trackers show 2026 layoffs already pacing ahead of 2025 totals, fueled by companies reallocating resources from legacy roles to AI infrastructure and capabilities. Surveys of hiring managers indicate over half expect further cuts, with artificial intelligence named as the top factor in nearly half of cases. These verified shifts in corporate strategy, alongside ongoing macroeconomic pressures, underpin the strong trader consensus reflected in current market-implied odds for higher annual tech layoffs.
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
$25,313Date de fin
28 févr. 2027Marché ouvert
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major tech firms continue accelerating workforce reductions in 2026 through AI-driven restructuring, with recent announcements from Cisco, LinkedIn, Coinbase, and Cloudflare citing efficiency gains from automated systems and large language model deployment. Data trackers show 2026 layoffs already pacing ahead of 2025 totals, fueled by companies reallocating resources from legacy roles to AI infrastructure and capabilities. Surveys of hiring managers indicate over half expect further cuts, with artificial intelligence named as the top factor in nearly half of cases. These verified shifts in corporate strategy, alongside ongoing macroeconomic pressures, underpin the strong trader consensus reflected in current market-implied odds for higher annual tech layoffs.
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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