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icon for Tech Layoffs Up or Down in 20​26?

Tech Layoffs Up or Down in 20​26?

icon for Tech Layoffs Up or Down in 20​26?

Tech Layoffs Up or Down in 20​26?

Up

82% chance
Polymarket

$26,002 Vol.

Up

82% chance
Polymarket

$26,002 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.**AI-driven restructuring is the dominant force behind elevated tech layoffs in 2026.** Major firms including Oracle (roughly 20-30k cuts), Amazon (16k corporate roles), Meta, Microsoft, and others have announced substantial reductions, often explicitly linking them to automation, efficiency gains, and reallocating resources toward large language models and infrastructure. Year-to-date trackers show 128k–225k positions eliminated globally—already matching or exceeding full-year 2025 totals—with the U.S. accounting for the majority and AI cited as the leading reason in roughly half of events. This pace, averaging hundreds of cuts daily through September, underpins the market’s 90.5% implied probability for higher full-year layoffs than 2025. Realistic scenarios that could still alter the outcome include a sharp late-year hiring surge in AI-related roles or broader economic tailwinds that slow restructuring, though current momentum makes reversal unlikely.

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.
Volume
$26,002
End Date
Jul 1, 2027
Market Opened
Mar 20, 2026, 2:43 PM ET
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.**AI-driven restructuring is the dominant force behind elevated tech layoffs in 2026.** Major firms including Oracle (roughly 20-30k cuts), Amazon (16k corporate roles), Meta, Microsoft, and others have announced substantial reductions, often explicitly linking them to automation, efficiency gains, and reallocating resources toward large language models and infrastructure. Year-to-date trackers show 128k–225k positions eliminated globally—already matching or exceeding full-year 2025 totals—with the U.S. accounting for the majority and AI cited as the leading reason in roughly half of events. This pace, averaging hundreds of cuts daily through September, underpins the market’s 90.5% implied probability for higher full-year layoffs than 2025. Realistic scenarios that could still alter the outcome include a sharp late-year hiring surge in AI-related roles or broader economic tailwinds that slow restructuring, though current momentum makes reversal unlikely.

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.
Volume
$26,002
End Date
Jul 1, 2027
Market Opened
Mar 20, 2026, 2:43 PM ET

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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 91% for "Up." A price of 91% means the market collectively assigns a 91% 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 $26K 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 June 30 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 91% for "Up," meaning the Polymarket crowd currently assigns a 91% 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 June 30 versus noon ET on March 20, using Binance TECH-LAYOFFS/USDT 1-minute candle close prices. If the June 30 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.