Trader consensus prices "Up" at 67% implied probability for tech layoffs exceeding prior-year levels in 2026, driven by an accelerated pace of job cuts totaling over 130,000 year-to-date—already rivaling full-year 2025 figures of around 127,000 U.S. tech layoffs—fueled by AI-driven restructuring at firms like Oracle (30,000 cuts), Meta, Microsoft, and PayPal. Q1 2026 marked the highest quarterly total since early 2023 at nearly 80,000, with May alone seeing 25,000 losses from Cisco, Cloudflare, and Coinbase as companies redirect massive AI infrastructure capex (over $700 billion projected) toward automation and efficiency. While revenue records persist, ongoing earnings calls and further reorganization announcements could solidify or shift this trajectory amid economic disinflation in high-wage tech roles.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoDemissões de tecnologia para cima ou para baixo em 2026?
Demissões de tecnologia para cima ou para baixo em 2026?
Aumentarão
$25,123 Vol.
$25,123 Vol.
28 fev 2027
Aumentarão
$25,123 Vol.
$25,123 Vol.
28 fev 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.Trader consensus prices "Up" at 67% implied probability for tech layoffs exceeding prior-year levels in 2026, driven by an accelerated pace of job cuts totaling over 130,000 year-to-date—already rivaling full-year 2025 figures of around 127,000 U.S. tech layoffs—fueled by AI-driven restructuring at firms like Oracle (30,000 cuts), Meta, Microsoft, and PayPal. Q1 2026 marked the highest quarterly total since early 2023 at nearly 80,000, with May alone seeing 25,000 losses from Cisco, Cloudflare, and Coinbase as companies redirect massive AI infrastructure capex (over $700 billion projected) toward automation and efficiency. While revenue records persist, ongoing earnings calls and further reorganization announcements could solidify or shift this trajectory amid economic disinflation in high-wage tech roles.
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.
Mercado Aberto: Mar 20, 2026, 2:43 PM ET
Volume
$25,123Data de Término
28 fev 2027Mercado Aberto
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.Trader consensus prices "Up" at 67% implied probability for tech layoffs exceeding prior-year levels in 2026, driven by an accelerated pace of job cuts totaling over 130,000 year-to-date—already rivaling full-year 2025 figures of around 127,000 U.S. tech layoffs—fueled by AI-driven restructuring at firms like Oracle (30,000 cuts), Meta, Microsoft, and PayPal. Q1 2026 marked the highest quarterly total since early 2023 at nearly 80,000, with May alone seeing 25,000 losses from Cisco, Cloudflare, and Coinbase as companies redirect massive AI infrastructure capex (over $700 billion projected) toward automation and efficiency. While revenue records persist, ongoing earnings calls and further reorganization announcements could solidify or shift this trajectory amid economic disinflation in high-wage tech roles.
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
$25,123Data de Término
28 fev 2027Mercado Aberto
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Trader consensus prices "Up" at 67% implied probability for tech layoffs exceeding prior-year levels in 2026, driven by an accelerated pace of job cuts totaling over 130,000 year-to-date—already rivaling full-year 2025 figures of around 127,000 U.S. tech layoffs—fueled by AI-driven restructuring at firms like Oracle (30,000 cuts), Meta, Microsoft, and PayPal. Q1 2026 marked the highest quarterly total since early 2023 at nearly 80,000, with May alone seeing 25,000 losses from Cisco, Cloudflare, and Coinbase as companies redirect massive AI infrastructure capex (over $700 billion projected) toward automation and efficiency. While revenue records persist, ongoing earnings calls and further reorganization announcements could solidify or shift this trajectory amid economic disinflation in high-wage tech roles.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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