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AI skills don’t guarantee your job. Just ask these laid-off Block employees.

In the months before Block CEO Jack Dorsey laid off 40% of staff on Thursday, workers were embracing AI tools in what one called an almost “celebratory” way.

Dorsey and other company leaders had made no secret of their interest in AI, but the company was profitable, and some workers couldn’t imagine the technology fully replacing humans at scale any time soon, they told Business Insider.

Still, there were pockets of unease. Block, the parent company of financial tech firms including Cash App and Square, had executed a series of smaller performance-based cuts in previous months. At least one employee said he’d had a nagging feeling that the AI tools he was using had gotten really good.

“I had a hunch that, at some point, the company would cut people because of AI. I just didn’t think it would be right now,” Ivan Ureña-Valdes, a data analyst who was laid off after four years at Block, told Business Insider.

When Dorsey dropped the hammer via a memo posted on X, he said AI was the reason 4,000 workers were losing their jobs.

“A significantly smaller team using the tools we’re building can do more and do it better,” Dorsey told analysts on Block’s earnings call on Thursday following the news.

Two hours after the layoff announcement, Dorsey logged onto a video call with the calendar title “gratitude,” sporting a baseball cap that said “love” to address the staff.

As he spoke with employees about Block’s layoffs and his reasoning for the deep cuts, some sent comments thanking him for the opportunity to work at the company. One asked if his hat was appropriate given the context. Dorsey answered that it was about gratitude.

Throughout the meeting, he was flooded with waves of emojis from muted participants, three attendees told Business Insider. Popular reactions were the thumbs-down, thinking face, and crying-laughing emojis, two people said. Dorsey explained the cuts in his trademark monotone and said he was doing what’s best for the company.

Business Insider spoke to seven former Block employees about the internal push to use AI in the last year; many said they were happy to oblige. Some were laid off on Thursday; others lost their jobs in recent performance-based cuts. Though they adopted AI tools to varying degrees, they view the technology as unable, at the moment, to do all the jobs of the thousands of workers who were let go. So it came as a shock to see half the company chopped in one fell swoop.

While some in the tech world expressed skepticism that AI was the true impetus for the cuts, suggesting that Dorsey had bloated Block’s ranks, others saw it as the first wave in a coming tsunami of job cuts across the industry. The alarm over a potential white-collar jobs apocalypse has gotten louder in recent months. Amazon CEO Andy Jassy has signaled that AI could lead to white-collar job cuts at the company. Last year, Salesforce made cuts to its customer support team, thanks to the use of AI agents, CEO Marc Benioff said.

Block’s layoffs are so large in scope and more pointedly attributed to AI than most that they added fuel to a fear sweeping the white-collar world: AI is coming for your job, and learning to use it isn’t enough to save you.

“I’ve seen a lot of public commentary about this layoff and how workers need to be using AI to protect our jobs,” said one nontechnical worker laid off on Thursday. “I was actively building with AI and know that many of my impacted colleagues were doing the same.”

Jack Dorsey ‘loves AI’

Dorsey has planted a flag in painting Block as an AI-forward company. He said on Thursday’s earnings call that Block was “one of the first to harness agentic capabilities.” And in July, Dorsey made headlines for using an internal coding tool called Goose to vibecode a “weekend project” that led to the messaging app Bitchat.

Investors appeared to favor Dorsey’s narrative of cutting costs with AI: After being down roughly 16% year to date before the layoffs, Block’s stock ended Friday up nearly 17% on the day.

“Jack loves AI and was constantly pushing us to use it,” Ureña-Valdes said. “I got to use these tools as much as possible every single day.”

He said he’d “felt the rumblings of AI disruption for a while” because he was using it in his work and noticed the tools were getting better.

One former software engineer said that Block had many internal AI demos and that her coworkers’ feelings about AI were “mostly celebratory.”

Another former software engineer let go during performance cuts earlier in February said the company had warned that output expectations for engineers would increase. He said the company’s head of engineering voiced productivity expectations that left them worried quality would suffer. After this week’s layoffs, his team shrank from eight engineers to one.

One employee laid off on Thursday said she had embraced AI at Block, but saw that it required human oversight. The day before the layoffs, she said, she caught errors in a company chatbot. She said the cuts surprised her manager, who was spared from the layoffs. The two sat together and cried it out.

AI is not ‘layoff insurance’

Several researchers and former Block employees say they’re skeptical about AI’s actual role in the layoffs.

“Block must have uncovered a secret sauce, perhaps within the software development process, to claim all of these jobs are AI-related,” said Jason Schloetzer, a business professor at Georgetown’s McDonough School of Business. “From the dozens of executives across industries that I’ve spoken with about AI deployment, they certainly aren’t seeing these types of gains outside of the software development process.”

On Thursday’s earnings call, Dorsey said there has been a marked improvement in AI’s capabilities and that “Block wanted to get ahead of this shift rather than be forced into it reactively.”

“The models just got an order of magnitude more capable and more intelligent,” Dorsey said. “And it’s really shown a path forward in terms of us being able to apply it to nearly every single thing that we do.”

Some former Block employees, as well as others in the industry, said pandemic overhiring, rather than AI, spurred the layoffs — a common refrain for Big Tech in recent years.

“Over the course of my time at Block, leadership did repeatedly signal the need for a ‘smaller Block,'” the laid-off nontechnical worker, who worked at Block for two years, said.

Companies like Block are conducting layoffs “with a chainsaw, not a scalpel,” said Chris Kaufman, a leadership consultant in Detroit.

“They’re not conducting audits of who took an AI course,” Kaufman said. “They’re making macro decisions about cost structure and organizational design. That’s usually just looking at headcount and salary across the board.”

Being AI savvy, Kaufman said, “can increase productivity, but I don’t think it is any way layoff insurance.”

Danielle Bell, a business communications professor at Northwestern University, said it’s obvious the workforce — both inside Block and out — is worried about AI. “If this is the new reality that we’re in, executives need to be more honest with themselves, with stakeholders, with the board, Wall Street, and particularly employees about what AI is here to do.”

Whatever the reason, one of the engineers cut on Thursday said there was a feeling in the air that something was coming. This engineer said she noticed that performance reviews were moved up from their February start. She thought she was safe after the earlier performance-based cuts — until she was laid off on Thursday.

“People were tense, even after good news would come through,” she said. “Lots of rumors flying around the office in person.”




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DeepMind’s CEO says using AI can make you a genius — or hurt your critical thinking skills

It’s up to you whether AI makes you sharper or slowly dulls your brain, says Demis Hassabis.

In a Thursday interview with entrepreneur Varun Mayya on the sidelines of the India AI Impact Summit, the Google DeepMind CEO said that AI is just like the internet. People can use it to learn all kinds of topics, or use it in ways that “degrade” their thinking.

“With AI, if you use it in a lazy way, it will make you worse at critical thinking and so on,” he said. “But that’s down to you as the individual. No one can help you do that.”

He added that people need to be smart and use these technologies in ways that enhance their thinking rather than dull it.

Hassabis cofounded DeepMind in 2010, which Google acquired in 2014. It merged with Google Brain in 2023 to form Google DeepMind, the lab behind tools such as Gemini and Nano Banana. The CEO and a DeepMind coworker, John Jumper, were awarded the 2024 Nobel Prize for Chemistry for their work on protein structure prediction.

As AI gets incorporated into daily life, debates about its risks and rewards have intensified, with several tech leaders warning about the dangers of an overreliance on AI tools.

Earlier this week, tech billionaire Mark Cuban said that there are two types of people who use AI.

“There are generally 2 types of LLM users, those that use it to learn everything, and those that use it so they don’t have to learn anything,” Cuban said of large language models in an X post on Tuesday.

Cuban has previously said that AI models can’t provide all the answers and are “stupid” but like “a savant that remembers everything.”

At a June conference, the CEO of French AI lab Mistral said that a risk of using AI for everything is that humans will stop trying.

“The biggest risk with AI is not that it will outsmart us or become uncontrollable, but that it will make us too comfortable, too dependent, and ultimately too lazy to think or act for ourselves,” Arthur Mensch said.




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Alice Tecotzky

A Goldman Sachs partner in technology shares the skills young job seekers need in the AI workplace

Bracha Cohen has a front row seat to Wall Street’s AI revolution — and to how young people can compete in it.

“I would tell the new generation of graduates, in this world where AI is so transformational, to build judgment and not just skills,” Cohen, a partner within asset and wealth management engineering, said. “AI may automate execution, but it can’t fully replace decision-making, systems thinking, and ethical reasoning.”

Cohen joined Goldman as a programmer in 1994, long before anyone had to prove AI fluency on their applications. She said that serving in various roles across business lines helped her ascend to partner, the firm’s top leaders.

Today, her engineering team in asset management focuses on automating operations to help the business scale, including through AI. As of now, the booming business — which holds a record $3.6 trillion in assets — uses AI for routine work, like analyzing and summarizing data, Cohen said.

As white-collar hiring slows and anxiety about AI in junior roles grows, Cohen said young engineers should focus less on simply completing tasks and more on how systems function. Mastering engineering fundamentals is key, she said, since AI should serve “as leverage, but not as a crutch.”


Bracha Cohen

Bracha Cohen is a partner and engineer at Goldman Sachs.

Goldman Sachs



She added that computer science majors should practice evaluating risk and crafting good questions, both for other people and AI models. Two other Goldman partners also previously said that interpersonal skills and communication are becoming increasingly crucial in the AI workplace.

And engineers who want to work on AI in particular have their own set of criteria. Dan Popescu, a newly promoted managing director and Goldman’s head of AI engineering for asset management, previously told Business Insider that the most competitive hires need a suite of skills: knowledge in AI engineering, finance, and traditional software engineering.

Goldman spent $6 billion on technology last year and has rolled out internal AI tools, including an assistant and a limited banker copilot. In an October memo, the firm laid out the latest phase of its OneGS initiative, which it says will drive efficiency, slow hiring, and create a “limited reduction” in roles.

CEO David Solomon is one of several big bank leaders who have said that, in the long run, AI won’t reduce head count, and that the firm needs to focus on attracting more high-quality talent.




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Expedia says it’s cutting some roles as it assesses skills needed for the future and simplifies its structure

  • Expedia is cutting jobs, the company confirmed to Business Insider.
  • Expedia said it’s focusing on skills needed for the future and simplifying its structure.
  • The scope of the cuts was unclear, but several affected employees posted about it on LinkedIn.

Expedia is cutting some roles as it looks toward the skills needed for the future, the company confirmed to Business Insider on Monday.

“We are eliminating roles as well as opening some new roles as we remain disciplined about assessing the skills we need for the future,” an Expedia Group spokesperson said in a statement. “We are also simplifying our structure and reducing organizational layers to move faster and with more accountability. These are not easy decisions, and we are grateful for the contributions of our colleagues who are impacted.”

It’s unclear how many people were affected or which divisions the cuts occurred in.

Several Expedia employees posted about being laid off on LinkedIn on Monday.

“After a decade of proudly working at Expedia, my role has been impacted due to organizational changes,” Natasha Morosov Pereira, an operations improvement manager, wrote, adding, “While this transition wasn’t expected, I’m grateful for everything I’ve learned and optimistic about what’s ahead.”

Also on Monday, over a dozen Expedia employees shared the same message on LinkedIn promoting openings at the travel booking company: “Expedia Group currently has OVER 250 roles open! Let’s transform travel together.”

Expedia joins several other companies that have cut roles in 2026, including Citi and T-Mobile.

Like Expedia, many companies cutting roles this year and last have cited an effort to flatten organizational structures and move faster in order to prepare for the future.

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