
$7.75K
1
1

1 market tracked

No data available
| Market | Platform | Price |
|---|---|---|
![]() | Poly | 80% |
Trader mode: Actionable analysis for identifying opportunities and edge
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
AI-generated analysis based on market data. Not financial advice.
$7.75K
1
1
This prediction market focuses on whether layoffs in the U.S. information sector will increase or decrease in 2026 compared to 2025. The market uses data from the Federal Reserve Economic Data (FRED) system, specifically the 'Layoffs and Discharges: Information' series. The resolution depends on the total number of layoffs reported for the entire calendar year. If 2026 has more layoffs than 2025's baseline of 447,000, the market resolves to 'Up'. If 2026 has fewer, it resolves to 'Down'. A tie results in a 50-50 split. The market will close by June 30, 2027, using all data published by that date. The information sector, as defined by the North American Industry Classification System (NAICS), includes companies in software publishing, data processing, broadcasting, telecommunications, and web search portals. This makes the market a direct proxy for the employment health of the technology and media industries. Interest in this topic stems from the tech industry's volatile hiring and firing cycles, which are seen as leading indicators for both the broader economy and specific trends in innovation and investment. Following significant layoffs in 2022 and 2023, many investors and analysts are watching to see if the industry has stabilized or if further workforce reductions are likely due to economic pressures, automation, or shifts in business strategy.
The historical context for tech layoffs is marked by boom-and-bust cycles closely tied to economic conditions and technological shifts. The dot-com bubble burst in 2000-2001 led to massive layoffs across the nascent internet sector. The 2008-2009 financial crisis also triggered significant job cuts as advertising and corporate IT spending collapsed. A period of sustained growth followed, with tech companies expanding rapidly throughout the 2010s. The COVID-19 pandemic initially caused uncertainty, but was followed by an aggressive hiring spree in 2020 and 2021 as demand for digital services surged. This hiring boom reversed sharply in 2022. According to layoffs.fyi, a site tracking tech industry cuts, over 260,000 jobs were lost in the tech sector globally in 2023, following more than 160,000 in 2022. The 2025 baseline for this market, 447,000 layoffs in the information sector, is drawn from FRED data. This figure represents a specific, measurable point in this ongoing cycle. Past trends show that layoff waves often follow periods of over-hiring and are exacerbated by rising interest rates, which increase borrowing costs and pressure companies to prioritize profitability over growth.
The level of layoffs in the information sector matters because it is a bellwether for the health of a critical segment of the modern economy. This sector drives innovation, productivity gains, and stock market valuations. Widespread job cuts can signal a pullback in investment for future growth, potentially slowing the pace of technological advancement. They also affect regional economies that are heavily dependent on tech employment, such as the San Francisco Bay Area, Seattle, and Austin. For workers, these trends influence wage growth, career stability, and the competitive dynamics of the job market. High layoff numbers may increase the available talent pool but also create uncertainty, potentially reducing consumer spending among a demographic that typically has high disposable income. For policymakers, rising layoffs could indicate weakening economic conditions that might require a response, while decreasing layoffs could signal stability or renewed growth.
As of mid-2024, the wave of major, headline-grabbing layoffs that characterized 2022 and 2023 has appeared to moderate. Many large tech companies have announced they are concluding their major restructuring efforts. However, smaller-scale layoffs continue across the sector. Economic uncertainty persists, with the Federal Reserve maintaining high interest rates. Corporate focus has shifted heavily toward investment and hiring in artificial intelligence, which may lead to workforce reallocation rather than pure reduction. The 2025 data, which will serve as the baseline for this market, is still being accumulated and will not be fully finalized until mid-2026.
FRED uses the North American Industry Classification System (NAICS) definition. The information sector includes industries like software publishers, data processing and hosting services, telecommunications, broadcasting, and web search portals. It encompasses most technology and media companies but excludes some hardware manufacturing classified elsewhere.
The data originates from the Job Openings and Labor Turnover Survey (JOLTS) program run by the U.S. Bureau of Labor Statistics. Each month, the BLS surveys approximately 21,000 businesses to estimate hires, quits, and layoffs. FRED republishes this official government data.
News reports often cover announced layoffs, which can occur over many months and may include global employees. The FRED data is a U.S.-only statistical measure of actual monthly separations classified as layoffs or discharges, providing a consistent, nationwide total for the entire information sector.
The market rules specify using data published by June 30, 2027. This would include any revisions the BLS and FRED have published by that final deadline. Revised data is common in economic statistics, and the resolution will be based on the most recent figures available at the closure date.
Yes, historically, layoffs in the information sector rise during economic downturns. A recession would likely lead to reduced business investment and advertising spending, pressuring tech and media companies to cut costs, which often includes workforce reductions. This is a key factor traders consider.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

No related news found
Add this market to your website
<iframe src="https://predictpedia.com/embed/GiSTNi" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Tech Layoffs Up or Down in 2026?"></iframe>