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Jack Dorsey's Block Accused of 'AI-Washing' to Excuse Laying Off Nearly Half Its Workforce (entrepreneur.com) 28

When Block cut 4,000 jobs — nearly half its workforce — co-founder Jack Dorsey "pointed to AI as the culprit," writes Entrepreneur magazine. "Dorsey claimed that AI tools now allow fewer employees to accomplish the same work."

"But analysts see a different explanation: poor management." Block more than tripled its employee base between 2019 and 2022, growing from 3,835 to 12,430 workers. The company's stock had fallen 40% since early 2025, creating pressure to cut costs. "This is more about the business being bloated for so long than it is about AI," Zachary Gunn, a Financial Technology Partners analyst, told Bloomberg.

The phenomenon has earned a nickname: "AI-washing," where companies use artificial intelligence as cover for traditional cost-cutting. Goldman Sachs economists estimate that AI is eliminating only 5,000 to 10,000 jobs per month across all U.S. sectors, hardly enough to justify Block's massive cuts.

"European Central Bank President Christine Lagarde told lawmakers in Brussels last week that ECB economists are monitoring for signs that AI is causing job losses," reports Bloomberg, "and are 'not yet seeing' the 'waves of redundancies that are feared'..." And "a recent survey of global executives published in the Harvard Business Review found that while AI has been cited as the reason for some layoffs, those cuts are almost entirely anticipatory: executives expect big efficiency gains that have not yet been realized."

Even a former senior Block executive "is questioning whether AI is truly the reason behind the cuts," writes Inc.: In a recent opinion piece for The New York Times, Aaron Zamost, Block's former head of communications, policy, and people, asked whether the layoffs reflect a genuine "new reality in which the work they do might no longer be viable," or whether artificial intelligence is "just a convenient and flashy new cover for typical corporate downsizing." Zamost acknowledged that the answer is unclear and perhaps unknowable, even within Block itself...

Looking more closely at the layoffs, Zamost argued that the specific roles affected suggest more traditional corporate cost-cutting than a sweeping AI transformation... Many of the responsibilities being eliminated, he argued, rely on distinctly human skills that AI systems still cannot replicate. "A chatbot can't meet with the mayor, cast commercial actors, or negotiate with the Securities and Exchange Commission," Zamost wrote. "Not all the roles I've heard that Block is eliminating can be handled by AI, yet executives are treating it as equally useful today to all disciplines."

Ultimately, Zamost suggested that the sincerity of companies' AI explanations may not really matter. "It matters less whether a company knows how to deploy AI and more whether investors believe it is on track to do so," he wrote.

Indeed, whatever the rationale for Dorsey's statement, " Wall Street didn't seem to mind..." Entrepreneur magazine — since Block's stock shot up 15% after the announcement.
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Jack Dorsey's Block Accused of 'AI-Washing' to Excuse Laying Off Nearly Half Its Workforce

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  • It's simple (Score:5, Insightful)

    by liqu1d ( 4349325 ) on Sunday March 08, 2026 @12:46PM (#66029696)
    AI improves productivity is the argument for layoffs. If a company is doing well then that increase in productivity leads to an increase in output meaning more money. If you cut headcount to just remain at your previous output then something is wrong. So either the AI isn't leading to productivity or it was never about the AI to begin with. Most of the work I've seen people claiming to end would have been doable without the bloat of a LLM layer. We've had if else statements for ages now. In my completely uneducated opinion it's just a smokescreen for the shitshow of the world economy currently. No one's doing well and now we have a big war to distract from it.
    • This.

      As for Dorsey, his management of Twitter, his poor "optics" during the various hearings, appearing in public with various undesirables, and subsequent sale of Twitter all demonstrate his lack of judgment.

    • by tlhIngan ( 30335 )

      Most of the people who were not axed were given immediate raises of 90%, with a retention bonus that puts them around 110% of their current salary.

      Considering 40% of the people were laid off, that's assuming their work simply gets redistributed to the remaining people who have to work much harder to justify their new raises. (Something likely to happen because hey, you got a huge raise in this day and age).

      Or it could simply be a precursor to more layoffs - hey you're not wokring 16 hour days like we expect

      • Most of the people who were not axed were given immediate raises of 90%, with a retention bonus that puts them around 110% of their current salary. I was not aware of this. I had assumed the savings would have been absorbed as profits. I'm actually genuinely surprised by this. Makes my assumptions about reasoning considerably shakier. Not so sure I'd want to be one of the ones left behind even on the extra money but I'm glad they're being compensated for their workload increase.
      • I can find no evidence of anyone, apart from Naoko Takeda, being offered a retention salary increase offer.

        In her case, that included a pay increase of around 75%.

        Is there any hard evidence of anyone apart from data scientist Naoko being offered huge retention bonuses?

  • If the claim is to be made that AI boosts productivity enough to cut staff in half, then show your work.

    But they won't! They'll have a new excuse next quarter why their revenue and productivity isn't growing. And they'll ask for more capital to buy compute equipment they don't actually know what to do with. Great news for chip makers but bad news for another AI-entangled fintech.

    • So isn't fraud detection one of the main things a payment processor like Block does? If they are setting up ChatGPT to take over large portions of the fraud detection (above the big data analysis they have done for years), isn't that a risk that they should be presenting in their 10-Q? Why are institutional investors not asking questions about this? I understand that the fund managers at Fidelity don't want to rock the boat for their squash partner, but aren't there union funds that do still actually work f
  • by UnknowingFool ( 672806 ) on Sunday March 08, 2026 @12:53PM (#66029710)

    While some jobs are being lost to AI, this former Amazon hiring manager says AI is not the real reason. [youtube.com]; AI is the excuse. In her experience at Amazon, they hired way too many and sometimes the wrong people during and following CoVID. Part of it was politics and power plays as more people meant more power for the manager. But Amazon would have to admit this was the reason for letting these people go now, especially to shareholders. It is far easier to sell to shareholders that they found a cheap and effective way to replace these jobs rather than admit these jobs should not have existed. That was her experience at Amazon.

    • by evanh ( 627108 )

      That's a bloody long time to hang on to supposed dead weight. I'm taking a lot of salt on that excuse too.

      I think it's more proactive layoffs. They're expecting AI to boost productivity and are spending on AI like it will. But the pudding is still to be proven.

      • by evanh ( 627108 )

        Or the article is spot on and it's simple market downturn prompting belt tightening. ie: Tariffs are impacting.

        • I feel like another factor may be that software innovation really seems to have stalled, meaning less coding required. I haven't seen new software I actually wanted in some time. In fact, I seem to be going backwards in the software world. But I'm older than the relevant clouds.
      • Waves of tech layoffs have been going on way before the LLM craze when AI became a scapegoat. I've been saying it for years at this point, you can trace it all back to 2019-2022.

        Everything you need to know is out there, look at hiring during the dumb money years, and look at their profits today.

      • That's a bloody long time to hang on to supposed dead weight. I'm taking a lot of salt on that excuse too.

        Only if you haven't been paying attention since CoVID. For many people I know, these companies have been quietly trying to get rid of people since CoVID. First there were incentives to retire or voluntary severance. Then getting people to quit with measures like back to the office mandates even though the office could not hold that many people. Now with AI, it is just another excuse to get rid of people.

  • But not because the AI is doing the work but because he wants to free up that money so he has it to blow on investing in AI bullshit. It takes billions and billions of dollars to build out the kind of infrastructure you need and on top of that it costs a lot to hire the engineers that can implement the algorithms that came out of the public universities.

    So his plan is to Force the remaining employees to work themselves to death while he tries to get in on the ground floor of AI so that he can be one of
  • That AI washing also allows you to make you look better to investors. An AI layoff looks to investor like they're creating efficiency which will be better for business. A 'we hired too many people' layoff looks bad and that you were mismanaging. A CEO is more likely to send a positive message to investors. Just saying...

  • Attributing layoffs or increase in productivity to AI is just the board trying to make themselves look like they're cutting edge using new tools to wow investors. When instead these layoffs were likely plain old simple cutting of the fat.
  • by Somervillain ( 4719341 ) on Sunday March 08, 2026 @04:57PM (#66030038)
    ALL tech layoffs attributed to AI are AI washing (essentially). In the history of technology, no publicly traded company has ever wanted to do last year's business levels with less staff. You give them a productivity booster and they boost output, not reduce costs. So either block is in a FULLY SATURATED market and has made every sale and developed every product it can....or he's full of shit and any idiot can see this. Look at past recent technological revolutions: every CEO wanted to leverage the productivity boosts to get more sales and crush their rivals. Layoffs are for downturns. Productivity boosts lead to expansion, historically. You find a way to boost efficiency by 2x, most CEOs want to double the work, not halve the staff
    • There are plenty of businesses that would rather improve margins than expand market share. If wealth is concentrated into the hands of a few individuals then that's the smartest play.

      • There are plenty of businesses that would rather improve margins than expand market share. If wealth is concentrated into the hands of a few individuals then that's the smartest play.

        Wall Street wants GROWTH, GROWTH, GROWTH! I've seen many favorite stocks plummet for having a profitable quarter, but growth was 12%, when guidance was 13%. If you're publicly traded, they want growth. I've never personally seen an exception. I can think of some hypotheticals, like a monopoly with full saturation...but I can't think of a realistic example of that. Any business that focuses on improving margins alone when given a productivity-enhancing tool is privately held or the board of directors is

        • Growth doesn't require increase marketshare %. Margins can drive growth as well. Losing margin % while maintaining marketshare can turn a business into a moribund husk of its former self. See: Intel between 2021-2024. Now Intel is losing margins badly and is closing in on a death spiral, but for awhile they were just shedding margins while AMD was gaining margin %.

  • AI has another function beyond "increasing employee productivity". It can also find the employees who are under performing or not needed by the company.

    So really there are three compounding reasons:

    1) AI making some workers more productive

    2) AI identifying workers who poor performers or not needed

    3) AI recommending restructuring to cut costs

    Completely legit to point to AI for these job cuts for any and all the above reasons.

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