Trader consensus on Polymarket prices "Up" at a near-certain 96% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025's 115,000 baseline in the information sector, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts from January to March amid aggressive AI adoption and restructuring. Major catalysts include Oracle's 30,000-person reduction on March 31 tied to AI data center expansion, Atlassian's 1,600 cuts (10% of headcount), and similar moves at Epic Games, Meta, and Autodesk—nearly 48% explicitly linked to AI automation replacing roles. This marks the highest Q1 total in years, reflecting ongoing post-pandemic workforce optimization. While resolution awaits final Challenger Gray or BLS confirmation, discrepancies in sector definitions pose the only realistic risk to this strong skin-in-the-game sentiment.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedTech Layoffs Up or Down in Q1, 2026?
Tech Layoffs Up or Down in Q1, 2026?
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May 5, 2026
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May 5, 2026
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 on Polymarket prices "Up" at a near-certain 96% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025's 115,000 baseline in the information sector, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts from January to March amid aggressive AI adoption and restructuring. Major catalysts include Oracle's 30,000-person reduction on March 31 tied to AI data center expansion, Atlassian's 1,600 cuts (10% of headcount), and similar moves at Epic Games, Meta, and Autodesk—nearly 48% explicitly linked to AI automation replacing roles. This marks the highest Q1 total in years, reflecting ongoing post-pandemic workforce optimization. While resolution awaits final Challenger Gray or BLS confirmation, discrepancies in sector definitions pose the only realistic risk to this strong skin-in-the-game sentiment.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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, 5:05 PM ET
Volume
$8,790End Date
May 5, 2026Market Opened
Mar 20, 2026, 5:05 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 Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 on Polymarket prices "Up" at a near-certain 96% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025's 115,000 baseline in the information sector, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts from January to March amid aggressive AI adoption and restructuring. Major catalysts include Oracle's 30,000-person reduction on March 31 tied to AI data center expansion, Atlassian's 1,600 cuts (10% of headcount), and similar moves at Epic Games, Meta, and Autodesk—nearly 48% explicitly linked to AI automation replacing roles. This marks the highest Q1 total in years, reflecting ongoing post-pandemic workforce optimization. While resolution awaits final Challenger Gray or BLS confirmation, discrepancies in sector definitions pose the only realistic risk to this strong skin-in-the-game sentiment.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).
This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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 Q4 2025 than in Q1 2026.
This market will resolve to 50-50 if the two figures are the same.
The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.
This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 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
$8,790End Date
May 5, 2026Market Opened
Mar 20, 2026, 5:05 PM ETResolver
0x65070BE91...Trader consensus on Polymarket prices "Up" at a near-certain 96% implied probability for tech layoffs rising in Q1 2026 versus Q4 2025's 115,000 baseline in the information sector, driven by trackers like TrueUp.io and Layoffs.fyi reporting 78,000–95,000 job cuts from January to March amid aggressive AI adoption and restructuring. Major catalysts include Oracle's 30,000-person reduction on March 31 tied to AI data center expansion, Atlassian's 1,600 cuts (10% of headcount), and similar moves at Epic Games, Meta, and Autodesk—nearly 48% explicitly linked to AI automation replacing roles. This marks the highest Q1 total in years, reflecting ongoing post-pandemic workforce optimization. While resolution awaits final Challenger Gray or BLS confirmation, discrepancies in sector definitions pose the only realistic risk to this strong skin-in-the-game sentiment.
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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