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Tech·Macro Indicators

Tech Layoffs Up or Down in Q1, 20​26?

icon for Tech Layoffs Up or Down in Q1, 20​26?
Tech·Macro Indicators

Tech Layoffs Up or Down in Q1, 20​26?

Up

98% chance
Polymarket
NEW

Up

98% chance
Polymarket
NEW
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 reflects near-certainty at 97.7% implied probability for tech layoffs to rise in Q1 2026 versus Q4 2025 per Federal Reserve Economic Data (FRED) on information sector separations, driven by a massive wave of confirmed job cuts totaling around 78,000 across 250+ tech firms. March alone saw 38,000-45,000 layoffs—the worst month in years—with nearly 50% attributed to artificial intelligence automation and workflow efficiencies at giants like Meta (10% workforce reduction), Oracle, Amazon, and Atlassian. This restructuring amid economic pressures and AI investments has pushed preliminary FRED figures decisively higher. Realistic shifts could stem from BLS data revisions, though the scale makes a reversal improbable ahead of final Q1 confirmation.

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.
Volume
$9,147
End Date
May 5, 2026
Market Opened
Mar 20, 2026, 5:05 PM ET

Resolver

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.
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 reflects near-certainty at 97.7% implied probability for tech layoffs to rise in Q1 2026 versus Q4 2025 per Federal Reserve Economic Data (FRED) on information sector separations, driven by a massive wave of confirmed job cuts totaling around 78,000 across 250+ tech firms. March alone saw 38,000-45,000 layoffs—the worst month in years—with nearly 50% attributed to artificial intelligence automation and workflow efficiencies at giants like Meta (10% workforce reduction), Oracle, Amazon, and Atlassian. This restructuring amid economic pressures and AI investments has pushed preliminary FRED figures decisively higher. Realistic shifts could stem from BLS data revisions, though the scale makes a reversal improbable ahead of final Q1 confirmation.

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.
Volume
$9,147
End Date
May 5, 2026
Market Opened
Mar 20, 2026, 5:05 PM ET

Resolver

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.

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Frequently Asked Questions

"Tech Layoffs Up or Down in Q1, 20​26?" is a daily prediction market on Polymarket where traders buy and sell shares on whether Tech Layoffs Up or Down in Q1, 20​26?'s price will finish higher ("Up") or lower ("Down") than its opening price over the daily window specified in the title. The current market probability is 98% for "Up." A price of 98% means the market collectively assigns a 98% chance to that outcome. Prices update in real-time as traders react to live Tech Layoffs Up or Down in Q1, 20​26? price movements. Shares in the correct outcome are redeemable for $1 each upon market resolution.

"Tech Layoffs Up or Down in Q1, 20​26?" is an active short-term market on Polymarket. Trading volume can accumulate quickly as the daily window progresses — jump in early to help set the odds before this window closes.

To trade on "Tech Layoffs Up or Down in Q1, 20​26?," decide whether you believe Tech Layoffs Up or Down in Q1, 20​26?'s price at noon ET on May 4 will be higher ("Up") or lower ("Down") than Tech Layoffs Up or Down in Q1, 20​26?'s price at noon ET on March 20. Buy "Up" if you think the price will rise day-over-day, or "Down" if you think it will fall. Enter your amount and click "Trade." If your chosen outcome is correct at resolution, each share pays out $1.00. If incorrect, shares are worth $0.

The current probability for "Tech Layoffs Up or Down in Q1, 20​26?" is 98% for "Up," meaning the Polymarket crowd currently assigns a 98% chance that Tech Layoffs Up or Down in Q1, 20​26?'s price will finish up over this daily window. These odds update in real-time as traders react to live Tech Layoffs Up or Down in Q1, 20​26? price data. Over a full day, odds reflect evolving sentiment as the day's price action unfolds. Check back frequently or trade now before the window closes.

The "Tech Layoffs Up or Down in Q1, 20​26?" market resolves based on a comparison of Tech Layoffs Up or Down in Q1, 20​26?'s price at noon ET on May 4 versus noon ET on March 20, using Binance TECH-LAYOFFS/USDT 1-minute candle close prices. If the May 4 noon price is higher, the outcome is "Up"; if lower, "Down"; if equal, the market resolves 50-50. You can review the complete resolution criteria and data source in the "Rules" section on this page.