Trader consensus on Polymarket reflects near-certain 96.5% implied probability for "Up" in tech layoffs for Q1 2026, driven by Federal Reserve Economic Data from BLS JOLTS showing information sector layoffs and discharges already totaling 126,000 in January (71,000) and February (55,000)—surpassing Q4 2025's full-quarter figure of 115,000—amid a broader wave of 78,000–95,000 tech job cuts reported by trackers like Layoffs.fyi. AI-driven restructuring at firms including Meta and Oracle, accounting for nearly half the reductions, fueled the spike, with efficiency pushes and automation reshaping developer and operations roles. March data, due early May, seals resolution, though rare downward revisions in seasonal adjustments could theoretically narrow the gap, an unlikely shift given the margin.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডTech Layoffs Up or Down in Q1, 2026?
Tech Layoffs Up or Down in Q1, 2026?
Up
নতুন
নতুন
May 5, 2026
Up
নতুন
নতুন
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 reflects near-certain 96.5% implied probability for "Up" in tech layoffs for Q1 2026, driven by Federal Reserve Economic Data from BLS JOLTS showing information sector layoffs and discharges already totaling 126,000 in January (71,000) and February (55,000)—surpassing Q4 2025's full-quarter figure of 115,000—amid a broader wave of 78,000–95,000 tech job cuts reported by trackers like Layoffs.fyi. AI-driven restructuring at firms including Meta and Oracle, accounting for nearly half the reductions, fueled the spike, with efficiency pushes and automation reshaping developer and operations roles. March data, due early May, seals resolution, though rare downward revisions in seasonal adjustments could theoretically narrow the gap, an unlikely shift given the margin.
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.
মার্কেট ওপেন হয়েছে: Mar 20, 2026, 5:05 PM ET
ভলিউম
$8,790শেষ তারিখ
May 5, 2026মার্কেট ওপেন হয়েছে
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 reflects near-certain 96.5% implied probability for "Up" in tech layoffs for Q1 2026, driven by Federal Reserve Economic Data from BLS JOLTS showing information sector layoffs and discharges already totaling 126,000 in January (71,000) and February (55,000)—surpassing Q4 2025's full-quarter figure of 115,000—amid a broader wave of 78,000–95,000 tech job cuts reported by trackers like Layoffs.fyi. AI-driven restructuring at firms including Meta and Oracle, accounting for nearly half the reductions, fueled the spike, with efficiency pushes and automation reshaping developer and operations roles. March data, due early May, seals resolution, though rare downward revisions in seasonal adjustments could theoretically narrow the gap, an unlikely shift given the margin.
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.
ভলিউম
$8,790শেষ তারিখ
May 5, 2026মার্কেট ওপেন হয়েছে
Mar 20, 2026, 5:05 PM ETResolver
0x65070BE91...Trader consensus on Polymarket reflects near-certain 96.5% implied probability for "Up" in tech layoffs for Q1 2026, driven by Federal Reserve Economic Data from BLS JOLTS showing information sector layoffs and discharges already totaling 126,000 in January (71,000) and February (55,000)—surpassing Q4 2025's full-quarter figure of 115,000—amid a broader wave of 78,000–95,000 tech job cuts reported by trackers like Layoffs.fyi. AI-driven restructuring at firms including Meta and Oracle, accounting for nearly half the reductions, fueled the spike, with efficiency pushes and automation reshaping developer and operations roles. March data, due early May, seals resolution, though rare downward revisions in seasonal adjustments could theoretically narrow the gap, an unlikely shift given the margin.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
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