Trader consensus on Polymarket reflects a strong 92.5% implied probability for more tech layoffs in 2026 than 2025, driven by an accelerating pace of job cuts already surpassing 85,000 YTD across 200+ companies—a daily average of 926 workers, up from 2025's 674. Oracle's abrupt April 1 announcement of up to 30,000 global layoffs for AI infrastructure prioritization exemplifies ongoing workforce optimization at giants like Meta, Amazon, and Dell amid economic headwinds and artificial intelligence adoption displacing roles in software engineering and operations. This early momentum, per trackers like TrueUp, positions 2026 to exceed 2025's ~246,000 total. Realistic challenges include a surprise economic rebound via Federal Reserve rate cuts spurring hiring or slower-than-expected AI integration limiting further cuts, though Q2 earnings calls loom as key catalysts.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоТехнологические увольнения вверх или вниз в 2026?
Технологические увольнения вверх или вниз в 2026?
Увеличатся
$10,387 Объем
$10,387 Объем
Увеличатся
$10,387 Объем
$10,387 Объем
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.
Открытие рынка: Mar 20, 2026, 2:43 PM ET
Resolver
0x65070BE91...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.
Resolver
0x65070BE91...Trader consensus on Polymarket reflects a strong 92.5% implied probability for more tech layoffs in 2026 than 2025, driven by an accelerating pace of job cuts already surpassing 85,000 YTD across 200+ companies—a daily average of 926 workers, up from 2025's 674. Oracle's abrupt April 1 announcement of up to 30,000 global layoffs for AI infrastructure prioritization exemplifies ongoing workforce optimization at giants like Meta, Amazon, and Dell amid economic headwinds and artificial intelligence adoption displacing roles in software engineering and operations. This early momentum, per trackers like TrueUp, positions 2026 to exceed 2025's ~246,000 total. Realistic challenges include a surprise economic rebound via Federal Reserve rate cuts spurring hiring or slower-than-expected AI integration limiting further cuts, though Q2 earnings calls loom as key catalysts.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
Не доверяй внешним ссылкам.
Не доверяй внешним ссылкам.
Часто задаваемые вопросы