Trader consensus on Polymarket reflects an 89% implied probability for tech layoffs rising in 2026 versus 2025, driven by accelerating artificial intelligence investments redirecting capital from headcount to data centers and automation. Year-to-date through late April, trackers like TrueUp report over 115,000 jobs cut across 259 events—exceeding Q1 paces from prior years—with March marking the sector's worst month in two years at 38,000–45,800 losses amid cuts at Oracle (30,000), Amazon (16,000), Meta, and Snap explicitly tied to AI efficiencies. Profitable firms prioritize AI infrastructure, shrinking software engineering roles while entry-level postings plunge 35% since 2023. Upcoming Q2 earnings from Big Tech could confirm sustained momentum, though economic shifts remain a minor uncertainty.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedUp
$25,103 Vol.
$25,103 Vol.
Up
$25,103 Vol.
$25,103 Vol.
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.
Market Opened: 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 an 89% implied probability for tech layoffs rising in 2026 versus 2025, driven by accelerating artificial intelligence investments redirecting capital from headcount to data centers and automation. Year-to-date through late April, trackers like TrueUp report over 115,000 jobs cut across 259 events—exceeding Q1 paces from prior years—with March marking the sector's worst month in two years at 38,000–45,800 losses amid cuts at Oracle (30,000), Amazon (16,000), Meta, and Snap explicitly tied to AI efficiencies. Profitable firms prioritize AI infrastructure, shrinking software engineering roles while entry-level postings plunge 35% since 2023. Upcoming Q2 earnings from Big Tech could confirm sustained momentum, though economic shifts remain a minor uncertainty.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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