Heavy investment in artificial intelligence infrastructure is driving widespread workforce reductions across the tech sector, with major firms redirecting resources from headcount to data centers, chips, and model training. Trackers report 150,000–184,000 tech layoffs year-to-date in 2026, already outpacing 2025 totals on an annualized basis, as companies such as Intuit, Wix, Meta, Amazon, and Oracle cite AI-driven efficiency gains and cost discipline. Surveys of hiring managers show 55 percent anticipate further cuts, with 44 percent naming AI as the primary factor. This momentum, combined with ongoing quarterly announcements, underpins the 89 percent market-implied probability that total 2026 layoffs will exceed the prior year, though product timelines and macroeconomic shifts could still alter the trajectory.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाबढ़ेंगी
$25,367 वॉल्यूम
$25,367 वॉल्यूम
28 फ़र, 2027
बढ़ेंगी
$25,367 वॉल्यूम
$25,367 वॉल्यूम
28 फ़र, 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.Heavy investment in artificial intelligence infrastructure is driving widespread workforce reductions across the tech sector, with major firms redirecting resources from headcount to data centers, chips, and model training. Trackers report 150,000–184,000 tech layoffs year-to-date in 2026, already outpacing 2025 totals on an annualized basis, as companies such as Intuit, Wix, Meta, Amazon, and Oracle cite AI-driven efficiency gains and cost discipline. Surveys of hiring managers show 55 percent anticipate further cuts, with 44 percent naming AI as the primary factor. This momentum, combined with ongoing quarterly announcements, underpins the 89 percent market-implied probability that total 2026 layoffs will exceed the prior year, though product timelines and macroeconomic shifts could still alter the trajectory.
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.
बाज़ार खुला: Mar 20, 2026, 2:43 PM ET
वॉल्यूम
$25,367समाप्ति तिथि
28 फ़र, 2027बाज़ार खुला
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.Heavy investment in artificial intelligence infrastructure is driving widespread workforce reductions across the tech sector, with major firms redirecting resources from headcount to data centers, chips, and model training. Trackers report 150,000–184,000 tech layoffs year-to-date in 2026, already outpacing 2025 totals on an annualized basis, as companies such as Intuit, Wix, Meta, Amazon, and Oracle cite AI-driven efficiency gains and cost discipline. Surveys of hiring managers show 55 percent anticipate further cuts, with 44 percent naming AI as the primary factor. This momentum, combined with ongoing quarterly announcements, underpins the 89 percent market-implied probability that total 2026 layoffs will exceed the prior year, though product timelines and macroeconomic shifts could still alter the trajectory.
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.
वॉल्यूम
$25,367समाप्ति तिथि
28 फ़र, 2027बाज़ार खुला
Mar 20, 2026, 2:43 PM ETResolver
0x65070BE91...Heavy investment in artificial intelligence infrastructure is driving widespread workforce reductions across the tech sector, with major firms redirecting resources from headcount to data centers, chips, and model training. Trackers report 150,000–184,000 tech layoffs year-to-date in 2026, already outpacing 2025 totals on an annualized basis, as companies such as Intuit, Wix, Meta, Amazon, and Oracle cite AI-driven efficiency gains and cost discipline. Surveys of hiring managers show 55 percent anticipate further cuts, with 44 percent naming AI as the primary factor. This momentum, combined with ongoing quarterly announcements, underpins the 89 percent market-implied probability that total 2026 layoffs will exceed the prior year, though product timelines and macroeconomic shifts could still alter the trajectory.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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