ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

Research Reveals Who Was Affected by the 2022-2023 Tech Layoffs

Comprehensive Study Provides Surprising Insights Regarding the Age, Gender, Job Title, and Work Experience of Those Laid Off

Layoff research Image
Layoff research Image

Layoff research Image

Research by the online learning platform 365 Data Science reveals surprising findings about the 2022-2023 tech layoffs. The team analyzed data from 1,157 public LinkedIn profiles to examine the characteristics of those laid off from tech companies.

The study helps understand who was affected and provides a distinct view of the reasons behind the layoffs and their impact on the job market. It also answers vital questions: Are the layoffs equally distributed between age groups and genders? How many workers found jobs? Who is still on the job market in 2023?

Tech companies—especially the giants—were on a hiring spree as the world moved online during the pandemic. But this over-hiring isn't sustainable in the current economic situation. In preparation for the recession, many resorted to mass layoffs. 

Over 150,000 people were affected in 2022, and the wave continues, with more than 68,500 new job cuts in January 2023 alone. Is this an attempt to cut down the employee count to pre-pandemic levels? 

The new research suggests there might be more reasons behind the layoffs. 

The 365 Data Science team examines various characteristics of the laid-off employees—such as level of education, work experience, time on the job, and position—to find other explanations. The results are available in 365 Data Science's study report

One significant finding is that the laid-off employees are educated and experienced—ruling out the hypothesis that employers let go primarily junior or inexperienced workers.

So, what factors might've influenced the selection criteria? 

Interestingly, the largest group of laid-off employees in the study sample did not hold tech positions. Find out which teams were most impacted and read the analysts' insights deducted from the data. 

Is it possible that specific jobs are beginning to be automated? Could that be part of the reason for the layoffs? 

Microsoft and Google have already announced their plans to invest in AI-powered solutions like ChatGPT—so this seems like a viable explanation, although it certainly isn't the only one. 

The study provides more insights into the characteristics of laid-off employees and the possible selection criteria. It also reveals that current layoffs are a considerable step back regarding equality and fairness in the tech sector. 

Discover all the results in 365 Data Science's study report

Contact Information:
Dragostina Slavova
dragostina@365datascience.com


Original Source: Research Reveals Who Was Affected by the 2022-2023 Tech Layoffs
Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.