Market icon
Tech·Big Tech

Tech Layoffs Up or Down in 20​26?

Market icon
Tech·Big Tech

Tech Layoffs Up or Down in 20​26?

Up

92% chance
Polymarket

$12,778 Vol.

Up

92% chance
Polymarket

$12,778 Vol.

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.Trader consensus on Polymarket reflects a 91.5% implied probability for tech layoffs to rise in 2026 over 2025's roughly 250,000 cuts, driven by Q1 2026's explosive 78,000–91,000 job losses—nearly half explicitly tied to artificial intelligence automation and workforce optimization. Major players like Oracle (30,000 cuts), Amazon (16,000+), Meta (shifting to AI amid 700+ recent layoffs), and Block (40% reduction) cited AI efficiencies enabling leaner teams despite profitability, accelerating a structural shift as large language models and AI agents handle white-collar tasks. This pace projects 2026 totals exceeding prior years, with skin-in-the-game bettors pricing in continued AI adoption. Challenges could arise from unexpected economic stimulus sparking hiring, regulatory curbs on AI deployment, or delayed AI impact if integration falters, though fresh earnings calls and developer conferences loom as potential catalysts for further shifts.

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.
Volume
$12,778
End Date
Feb 28, 2027
Market Opened
Mar 20, 2026, 2:43 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 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 "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.Trader consensus on Polymarket reflects a 91.5% implied probability for tech layoffs to rise in 2026 over 2025's roughly 250,000 cuts, driven by Q1 2026's explosive 78,000–91,000 job losses—nearly half explicitly tied to artificial intelligence automation and workforce optimization. Major players like Oracle (30,000 cuts), Amazon (16,000+), Meta (shifting to AI amid 700+ recent layoffs), and Block (40% reduction) cited AI efficiencies enabling leaner teams despite profitability, accelerating a structural shift as large language models and AI agents handle white-collar tasks. This pace projects 2026 totals exceeding prior years, with skin-in-the-game bettors pricing in continued AI adoption. Challenges could arise from unexpected economic stimulus sparking hiring, regulatory curbs on AI deployment, or delayed AI impact if integration falters, though fresh earnings calls and developer conferences loom as potential catalysts for further shifts.

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.
Volume
$12,778
End Date
Feb 28, 2027
Market Opened
Mar 20, 2026, 2:43 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 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.

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Frequently Asked Questions

"Tech Layoffs Up or Down in 20​26?" is a daily prediction market on Polymarket where traders buy and sell shares on whether Tech Layoffs Up or Down in 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 92% for "Up." A price of 92% means the market collectively assigns a 92% chance to that outcome. Prices update in real-time as traders react to live Tech Layoffs Up or Down in 20​26? price movements. Shares in the correct outcome are redeemable for $1 each upon market resolution.

As of today, "Tech Layoffs Up or Down in 20​26?" has generated $12.8K in total trading volume. Tech Layoffs Up or Down in 20​26? Up or Down markets attract active traders reacting to live price movements in real time — this level of activity helps ensure the current Up/Down odds are informed by a deep pool of market participants. You can track live prices and place a trade directly on this page.

To trade on "Tech Layoffs Up or Down in 20​26?," decide whether you believe Tech Layoffs Up or Down in 20​26?'s price at noon ET on February 27 will be higher ("Up") or lower ("Down") than Tech Layoffs Up or Down in 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 20​26?" is 92% for "Up," meaning the Polymarket crowd currently assigns a 92% chance that Tech Layoffs Up or Down in 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 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 20​26?" market resolves based on a comparison of Tech Layoffs Up or Down in 20​26?'s price at noon ET on February 27 versus noon ET on March 20, using Binance TECH-LAYOFFS/USDT 1-minute candle close prices. If the February 27 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.