**Tech layoffs are tracking well above 2025 levels in 2026, supporting the market's 86% implied probability for "Up."** Trackers such as TrueUp show roughly 181,000 tech jobs eliminated through early September at a faster daily rate than the 246,000 recorded for all of 2025, with major rounds at Oracle (~30,000), Amazon, Meta, Microsoft, Dell, and Intel. Companies explicitly tie many cuts to AI adoption—automating roles, reallocating spending toward data centers and models, and trimming non-AI functions—while reporting strong revenues and raising capital expenditure guidance into the hundreds of billions. Challenger, Gray & Christmas data confirm AI as the leading stated reason for U.S. job cuts, with tech representing nearly a third of announcements. No broad reversal has emerged, and the pattern of profitable firms using efficiency gains to fund AI infrastructure continues to shape trader expectations for a higher full-year total.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডTech Layoffs Up or Down in 2026?
Up
$25,972 Vol.
$25,972 Vol.
Up
$25,972 Vol.
$25,972 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.
মার্কেট ওপেন হয়েছে: Mar 20, 2026, 2:43 PM ET
রেজলভার
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.
রেজলভার
0x65070BE91...**Tech layoffs are tracking well above 2025 levels in 2026, supporting the market's 86% implied probability for "Up."** Trackers such as TrueUp show roughly 181,000 tech jobs eliminated through early September at a faster daily rate than the 246,000 recorded for all of 2025, with major rounds at Oracle (~30,000), Amazon, Meta, Microsoft, Dell, and Intel. Companies explicitly tie many cuts to AI adoption—automating roles, reallocating spending toward data centers and models, and trimming non-AI functions—while reporting strong revenues and raising capital expenditure guidance into the hundreds of billions. Challenger, Gray & Christmas data confirm AI as the leading stated reason for U.S. job cuts, with tech representing nearly a third of announcements. No broad reversal has emerged, and the pattern of profitable firms using efficiency gains to fund AI infrastructure continues to shape trader expectations for a higher full-year total.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড



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