Major technology firms continue restructuring workforces in 2026 to fund large-scale artificial intelligence investments, with AI cited as the top driver of job cuts across sectors. Year-to-date U.S. tech layoffs reached 85,411 through April—33% above the prior-year pace—with total 2026 figures already surpassing 100,000–140,000 according to trackers like Layoffs.fyi and Challenger, Gray & Christmas, outpacing 2025 totals that ranged from roughly 122,000–245,000 depending on scope. Companies including Meta (10% workforce reduction), Oracle (30,000 roles), and others have explicitly linked cuts to AI automation and efficiency gains, while hiring-manager surveys project further reductions. This sustained pace through mid-year underpins the 89% market-implied probability that overall tech layoffs will rise year-over-year.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоTech Layoffs Up or Down in 2026?
Tech Layoffs Up or Down in 2026?
Up
$25,361 Обс.
$25,361 Обс.
Feb 28, 2027
Up
$25,361 Обс.
$25,361 Обс.
Feb 28, 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 technology firms continue restructuring workforces in 2026 to fund large-scale artificial intelligence investments, with AI cited as the top driver of job cuts across sectors. Year-to-date U.S. tech layoffs reached 85,411 through April—33% above the prior-year pace—with total 2026 figures already surpassing 100,000–140,000 according to trackers like Layoffs.fyi and Challenger, Gray & Christmas, outpacing 2025 totals that ranged from roughly 122,000–245,000 depending on scope. Companies including Meta (10% workforce reduction), Oracle (30,000 roles), and others have explicitly linked cuts to AI automation and efficiency gains, while hiring-manager surveys project further reductions. This sustained pace through mid-year underpins the 89% market-implied probability that overall tech layoffs will rise year-over-year.
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.
Ринок відкрито: Mar 20, 2026, 2:43 PM ET
Обсяг
$25,361Дата завершення
Feb 28, 2027Ринок відкрито
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 technology firms continue restructuring workforces in 2026 to fund large-scale artificial intelligence investments, with AI cited as the top driver of job cuts across sectors. Year-to-date U.S. tech layoffs reached 85,411 through April—33% above the prior-year pace—with total 2026 figures already surpassing 100,000–140,000 according to trackers like Layoffs.fyi and Challenger, Gray & Christmas, outpacing 2025 totals that ranged from roughly 122,000–245,000 depending on scope. Companies including Meta (10% workforce reduction), Oracle (30,000 roles), and others have explicitly linked cuts to AI automation and efficiency gains, while hiring-manager surveys project further reductions. This sustained pace through mid-year underpins the 89% market-implied probability that overall tech layoffs will rise year-over-year.
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.
Обсяг
$25,361Дата завершення
Feb 28, 2027Ринок відкрито
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Major technology firms continue restructuring workforces in 2026 to fund large-scale artificial intelligence investments, with AI cited as the top driver of job cuts across sectors. Year-to-date U.S. tech layoffs reached 85,411 through April—33% above the prior-year pace—with total 2026 figures already surpassing 100,000–140,000 according to trackers like Layoffs.fyi and Challenger, Gray & Christmas, outpacing 2025 totals that ranged from roughly 122,000–245,000 depending on scope. Companies including Meta (10% workforce reduction), Oracle (30,000 roles), and others have explicitly linked cuts to AI automation and efficiency gains, while hiring-manager surveys project further reductions. This sustained pace through mid-year underpins the 89% market-implied probability that overall tech layoffs will rise year-over-year.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено
Обережно з зовнішніми посиланнями.
Обережно з зовнішніми посиланнями.
Часті запитання