Technology
Ranked: America’s 20 Biggest Tech Layoffs Since 2020
Ranked: America’s 20 Biggest Tech Layoffs This Decade
The events of the last few years could not have been predicted by anyone. From a global pandemic and remote work as the standard, to a subsequent hiring craze, rising inflation, and now, mass layoffs.
Alphabet, Google’s parent company, essentially laid off the equivalent of a small town just weeks ago, letting go of 12,000 people—the biggest layoffs the company has ever seen in its history. Additionally, Amazon and Microsoft have also laid off 10,000 workers each in the last few months, not to mention Meta’s 11,000.
This visual puts the current layoffs in the tech industry in context and ranks the 20 biggest tech layoffs of the 2020s using data from the tracker, Layoffs.fyi.
The Top 20 Layoffs of the 2020s
Since 2020, layoffs in the tech industry have been significant, accelerating in 2022 in particular. Here’s a look at the companies that laid off the most people over the last three years.
Rank | Company | # Laid Off | % of Workforce | As of |
---|---|---|---|---|
#1 | 12,000 | 6% | Jan 2023 | |
#2 | Meta | 11,000 | 13% | Nov 2021 |
#3 | Amazon | 10,000 | 3% | Nov 2021 |
#4 | Microsoft | 10,000 | 5% | Jan 2023 |
#5 | Salesforce | 8,000 | 10% | Jan 2023 |
#6 | Amazon | 8,000 | 2% | Jan 2023 |
#7 | Uber | 6,700 | 24% | May 2020 |
#8 | Cisco | 4,100 | 5% | Nov 2021 |
#9 | IBM | 3,900 | 2% | Jan 2023 |
#10 | 3,700 | 50% | Nov 2022 | |
#11 | Better.com | 3,000 | 33% | Mar 2022 |
#12 | Groupon | 2,800 | 44% | Apr 2020 |
#13 | Peloton | 2,800 | 20% | Feb 2022 |
#14 | Carvana | 2,500 | 12% | May 2022 |
#15 | Katerra | 2,434 | 100% | Jun 2021 |
#16 | Zillow | 2,000 | 25% | Nov 2021 |
#17 | PayPal | 2,000 | 7% | Jan 2023 |
#18 | Airbnb | 1,900 | 25% | May 2020 |
#19 | Instacart | 1,877 | -- | Jan 2021 |
#20 | Wayfair | 1,750 | 10% | Jan 2023 |
Layoffs were high in 2020 thanks to the COVID-19 pandemic, halting the global economy and forcing staff reductions worldwide. After that, things were steady until the economic uncertainty of last year, which ultimately led to large-scale layoffs in tech—with many of the biggest cuts happening in the past three months.
The Cause of Layoffs
Most workforce slashings are being blamed on the impending recession. Companies are claiming they are forced to cut down the excess of the hiring boom that followed the pandemic.
Additionally, during this hiring craze competition was fierce, resulting in higher salaries for workers, which is now translating in an increased need to trim the fat thanks to the current economic conditions.
Of course, the factors leading up to these recent layoffs are more nuanced than simple over-hiring plus recession narrative. In truth, there appears to be a culture shift occurring at many of America’s tech companies. As Rani Molla and Shirin Ghaffary from Recode have astutely pointed out, tech giants really want you to know they’re behaving like scrappy startups again.
Twitter’s highly publicized headcount reduction in late 2022 occurred for reasons beyond just macroeconomic factors. Elon Musk’s goal of doing more with a smaller team seemed to resonate with other founders and executives in Silicon Valley, providing an opening for others in tech space to cut down on labor costs as well. In just one example, Mark Zuckerberg hailed 2023 as the “year of efficiency” for Meta.
Meanwhile, over at Google, 12,000 jobs were put on the chopping block as the company repositions itself to win the AI race. In the words of Google’s own CEO:
“Over the past two years we’ve seen periods of dramatic growth. To match and fuel that growth, we hired for a different economic reality than the one we face today… We have a substantial opportunity in front of us with AI across our products and are prepared to approach it boldly and responsibly.”– Sundar Pichai
The Bigger Picture in the U.S. Job Market
Beyond the tech sector, job openings continue to rise. Recent data from the Bureau of Labor Statistics (BLS) revealed a total of 11 million job openings across the U.S., an increase of almost 7% month-over-month. This means that for every unemployed worker in America right now there are 1.9 job openings available.
Additionally, hiring increased significantly in January, with employers adding 517,000 jobs. While the BLS did report a decrease in openings in information-based industries, openings are increasing rapidly especially in the food services, retail trade, and construction industries.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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