Trader consensus on Polymarket reflects near-certainty at 96.5% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts in January–March, exceeding prior-quarter benchmarks amid aggressive AI-driven restructurings. Major catalysts include Oracle's 30,000 March cuts, alongside reductions at Amazon, Meta, Snap, and Atlassian totaling thousands, with nearly 50% of losses explicitly tied to AI automation displacing roles in software engineering, customer support, and onboarding. This surge, up 40% year-over-year per Challenger, Gray & Christmas, stems from Big Tech prioritizing artificial intelligence investments over headcount amid economic pressures. While data appears conclusive, resolution hinges on official Bureau of Labor Statistics information-sector figures; rare revisions or audit discrepancies could theoretically shift outcomes, though traders see minimal risk.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоТехнологические увольнения вверх или вниз в 1 кв. 2026?
Технологические увольнения вверх или вниз в 1 кв. 2026?
Up
НОВОЕ
НОВОЕ
5 мая 2026 г.
Up
НОВОЕ
НОВОЕ
5 мая 2026 г.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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.Trader consensus on Polymarket reflects near-certainty at 96.5% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts in January–March, exceeding prior-quarter benchmarks amid aggressive AI-driven restructurings. Major catalysts include Oracle's 30,000 March cuts, alongside reductions at Amazon, Meta, Snap, and Atlassian totaling thousands, with nearly 50% of losses explicitly tied to AI automation displacing roles in software engineering, customer support, and onboarding. This surge, up 40% year-over-year per Challenger, Gray & Christmas, stems from Big Tech prioritizing artificial intelligence investments over headcount amid economic pressures. While data appears conclusive, resolution hinges on official Bureau of Labor Statistics information-sector figures; rare revisions or audit discrepancies could theoretically shift outcomes, though traders see minimal risk.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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, 5:05 PM ET
Объем
$8,790Дата окончания
5 мая 2026 г.Открытие рынка
Mar 20, 2026, 5:05 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 Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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.Trader consensus on Polymarket reflects near-certainty at 96.5% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts in January–March, exceeding prior-quarter benchmarks amid aggressive AI-driven restructurings. Major catalysts include Oracle's 30,000 March cuts, alongside reductions at Amazon, Meta, Snap, and Atlassian totaling thousands, with nearly 50% of losses explicitly tied to AI automation displacing roles in software engineering, customer support, and onboarding. This surge, up 40% year-over-year per Challenger, Gray & Christmas, stems from Big Tech prioritizing artificial intelligence investments over headcount amid economic pressures. While data appears conclusive, resolution hinges on official Bureau of Labor Statistics information-sector figures; rare revisions or audit discrepancies could theoretically shift outcomes, though traders see minimal risk.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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.
Объем
$8,790Дата окончания
5 мая 2026 г.Открытие рынка
Mar 20, 2026, 5:05 PM ETResolver
0x65070BE91...Trader consensus on Polymarket reflects near-certainty at 96.5% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts in January–March, exceeding prior-quarter benchmarks amid aggressive AI-driven restructurings. Major catalysts include Oracle's 30,000 March cuts, alongside reductions at Amazon, Meta, Snap, and Atlassian totaling thousands, with nearly 50% of losses explicitly tied to AI automation displacing roles in software engineering, customer support, and onboarding. This surge, up 40% year-over-year per Challenger, Gray & Christmas, stems from Big Tech prioritizing artificial intelligence investments over headcount amid economic pressures. While data appears conclusive, resolution hinges on official Bureau of Labor Statistics information-sector figures; rare revisions or audit discrepancies could theoretically shift outcomes, though traders see minimal risk.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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