Chong Ming Lee, Junior News Reporter at Business Insider's Singapore bureau.

I’m a data analyst who survived 3 rounds of layoffs at Block. I saw how AI was automating my work — it cost me my job.

This as-told-to essay is based on a conversation with Ivan Ureña-Valdes, who has worked at Block for nearly four years as a data analyst. It has been edited for length and clarity.

When I got an email from Jack Dorsey, I was in the middle of interviewing someone for a role at Block.

It was pretty strange because, in the past, with layoffs, I knew people had their access cut almost immediately.

A coworker messaged me: “Hey, are you okay?” My heart started racing. I knew from that message it meant that I was probably getting laid off.

I felt really bad because I was in the middle of interviewing someone. I had to tell them, “I was actually just let go from the company. I probably won’t be able to submit your feedback in time. Please reach out to your recruiter.”

I’m the sole provider for my family. It was tough.

I had a hunch that AI would lead to cuts at some point

We knew there were many performance cuts happening around right now, and those have largely finished. I had no idea this cut was coming.

For 4,000-plus people to be cut without anybody knowing, that tells me decisions were made very high up.

I’ve survived three rounds of layoffs, some companywide, some engineering organization-wide. I knew I wasn’t being let go for performance-related reasons. I was in the middle of working on two large projects, probably the largest projects I’d worked on since joining the company.

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.

Working at Block, I saw how AI was automating tasks away

I appreciate Jack for his honesty. It’s much fairer of him to come straight out and say why it happened — that it’s because of AI and the vision he sees.

I’m honestly grateful for the generous severance and benefits. It definitely helps make the rough situation a bit easier.

I’ve felt the rumblings of AI disruption for a while now, especially since Anthropic launched Opus 4.5 late last year.

Jack loves AI and was constantly pushing us to use it. I got to use these tools as much as possible every single day.

I could see in my own work very quickly how much of it was already being automated. So much of the data analyst world is finding the right dataset, writing something that will allow you to pull the data set that you want, and then generating output. Every single one of those steps is significantly faster and easier because of AI.

It was definitely a “whoa” moment when I realized just how powerful things had gotten.

AI will continue to replace jobs

I 100% think that more disruption and more of these types of cuts will probably come at other companies, which is unfortunate.

I’m much more pessimistic about all of it than many other people probably are.

Given that we live in the US, where growth is everything, it’s inevitable that AI will continue to replace people wherever it’s financially beneficial to do so.

I’m optimistic that I can find a job in the general data field, whether it’s something I’m extremely passionate about or pays as much as I did before. It will be difficult to find something that matches the environment I was working in because I had developed really strong ties with my coworkers. The pay was fair within the data analytics or business intelligence world, and the role was remote.

There are incredible companies out there doing great work, though I am nervous about the industry as a whole and the competitiveness as I search for that perfect next role. Some people are getting really, really high salaries at AI companies, while tons of people at Block are getting laid off.

Do you have a story to share about tech layoffs? Contact this reporter at cmlee@businessinsider.com or on Signal at cmlee.81.




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Ex-Google CEO Eric Schmidt says AI isn’t overhyped — the biggest gains from automating corporate work are still ahead

If AI feels overhyped now, Eric Schmidt suggests that businesses should brace themselves — the real disruption hasn’t even begun yet.

In an interview with Professor Graham Allison at the John F. Kennedy Jr. Forum at Harvard University on Monday, the former Google CEO pushed back on the idea that AI’s rapid growth is a speculative bubble, saying that the technology is actually under-hyped.

“If anything, it’s under-hyped because you are fundamentally automating businesses,” he said.

The real transformation, he said, is happening deep inside companies, where AI systems are beginning to take over the “boring” tasks that quietly consume billions in corporate spending.

The biggest gains, he suggested, will come from automating the backbone of corporate work: the repeatable, time-consuming processes buried deep inside every organization.

The former Google chief listed billing, accounting, product design, delivery, and inventory management as examples of this.

“There’s an awful lot there — it’s extraordinary,” he said, pointing to areas like medicine, climate solutions, and engineering as sectors where automation could accelerate breakthroughs.

Schmidt, who helped steer Google’s early investments in AI and later co-authored a book on AI with Henry Kissinger, implied the technology’s economic impact will be far larger than markets or executives appreciate.

Still, not everyone agrees with that perspective. Some economists are sounding alarm bells that the AI boom is overheated.

In an interview this week, renowned economist Ruchir Sharma said the AI surge displays all four traits of a classic bubble and could unravel if interest rates rise, while tech leaders such as Sam Altman and Bill Gates have cautioned that parts of the market resemble the dot-com era.

Far beyond coding

To illustrate how quickly AI capabilities are advancing, Schmidt described watching an AI system generate an entire software program.

“Holy crap. The end of me,” he said.

“I’ve been doing programming for 55 years. To see something start and end in front of your own life is really profound,” he added.

However, he said that AI’s long-term upside extends far beyond coding.

From back-office workflows to logistics and scientific discovery, Schmidt believes the automation curve is still in its early stages of scaling and that Wall Street is underestimating the magnitude of the shift.

“The reason people are spending this amount of money,” he said, “is to automate the boring parts of their business.”




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