惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
L
LangChain Blog
H
Help Net Security
博客园_首页
T
Tailwind CSS Blog
Microsoft Security Blog
Microsoft Security Blog
T
The Blog of Author Tim Ferriss
雷峰网
雷峰网
Recent Announcements
Recent Announcements
D
DataBreaches.Net
U
Unit 42
Vercel News
Vercel News
I
InfoQ
Martin Fowler
Martin Fowler
Microsoft Azure Blog
Microsoft Azure Blog
Apple Machine Learning Research
Apple Machine Learning Research
S
SegmentFault 最新的问题
Jina AI
Jina AI
博客园 - 叶小钗
博客园 - 【当耐特】
罗磊的独立博客
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
Last Week in AI
Last Week in AI

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
CEOs blame AI for layoffs, but an MIT professor says it f...
Marco Quiroz-Gutierrez · 2026-05-31 · via Hacker News - Newest: "AI"

Late last week, Wix joined a flurry of tech companies that have been citing AI as a motivation for layoffs, and one expert says this pattern reveals a trend companies have been reluctant to admit for years.

Avishai Abrahami, the CEO of the Israel-based website-building company, said in a post on X that Wix would cut roughly 20% of its staff, or just over 1,000 people based on its last employee count of 5,277 found in a May filing with the Securities and Exchange Commission.

In announcing the layoffs, Abrahami cited the strain that the strengthening of the Israeli currency, the shekel, against the U.S. dollar is causing for the company. But he also pointed to AI and the company’s need to adapt to changing times.

When reached for comment, a Wix spokesperson referred Fortune to Abrahami’s layoff announcement.

In his announcement, Abrahami mentioned AI as “the most significant shift in how companies are built since the invention of modern programming languages in the 1970s,” and added that Wix needed to adapt “to become a faster, leaner, and flatter organization.”

This language echoes that of Block CEO Jack Dorsey, who kicked off the year by announcing 4,000 layoffs to create “smaller and flatter” teams and a “new way of working.” Executives at Snap and Atlassian executives have also used comparable framing. 

The trend of pushing for smaller teams and more productive workers isn’t new.

“They’ve been saying that for 20 years,” said Paul Osterman, a professor emeritus of human resources management at the MIT Sloan School of Management and author of the book Disposable Workers: The Transformation of Employment.

Osterman argued that what is new is some companies’ quiet admission that they don’t want more workers.

While AI is creating some pressure on companies to innovate and restructure, he believes they are mostly using AI as a cover for layoffs, a phenomenon called “AI washing,” which allows companies to spin what would usually be negative news into a positive feat that shows they are innovating. Sometimes this works. After Cisco announced it was laying off 4,000 people earlier this month, its stock jumped 13%. 

“AI is a perfect excuse to justify big layoffs,” Osterman told Fortune. “It makes it seem as if it’s not our decision, our fault—it’s the technology.” 

Similarly, companies often lay off employees they were going to let go of anyway during recessions, which serves as a convenient cover story, he added.

At the same time, the spurt of AI-related layoffs may also be related to the increasing number of “disposable workers,” which he estimates make up 35% of the American workforce today. 

These disposable workers, such as contractors, freelancers, and gig workers, are favored in some cases by employers because they can contribute to a company’s goals, but also can be shed at any moment. Hiring these kinds of workers saves firms money on benefits and it also gives them flexibility to downsize or increase their staff when opportunities arise, something that may be beneficial as AI, to paraphrase executives, upends the way work is done.

As of the Bureau of Labor Statistics’ last count from 2023, there were 6.9 million contingent workers, like contractors or temporary workers, and they made up 4.3% of the U.S. workforce. Although this is a conservative estimate, it is an increase from 2017, when these kinds of workers made up 3.8% of the workforce.

While this trend of favoring disposable workers over employees has been building for decades, it’s intensifying, partly because of the uncertainty created by AI, said Osterman.

Yet, his research shows contractors and marginal workers face lower wages and report lower job satisfaction than standard employees. They’re also less willing to go above and beyond for their employers as a result.

Despite the bleak picture of employment, Osterman pushed back on the idea that workers should simply accept a future of disposable employment. 

“We created a stable employment system of high wages and shared prosperity in the past,” he said. “That’s what we should be thinking about doing now.”