Block cut 40% of staff and their stock soared 24%. Here's what that means for your business.

Last week, Block — the company behind Square and Cash App — announced they’d cut around 40% of their workforce. Not through redundancies in the traditional sense. They just stopped replacing people who left, and let AI pick up the work.

The stock market’s response? A 24% jump in share price.

That’s not a typo. Wall Street didn’t punish them for shrinking. It rewarded them for figuring out how to do more with less.

This isn’t a tech quirk

It’s easy to look at a story like Block’s and think it only applies to Silicon Valley. Massive tech company, thousands of engineers, billions in revenue — what’s that got to do with a business in Suffolk?

More than you’d think.

Block didn’t deploy some science-fiction AI system. They used the same large language models and automation tools that are available to everyone right now. The difference is they had a plan for how to integrate them, and they executed on it.

The pattern is already repeating. Klarna replaced 700 customer service agents with AI. Duolingo cut contractors when their translation AI got good enough. These aren’t experiments — they’re operational decisions being made by companies that have done the maths.

The UK reality

According to the government’s own figures, only about 16% of UK businesses have adopted AI in any meaningful way. That sounds like bad news, but it’s actually an opportunity — because the businesses that move now are going to have a significant head start.

The gap between companies using AI effectively and those that aren’t is widening fast. It’s not about having the fanciest technology. It’s about identifying the boring, repetitive, time-consuming work that’s eating into your margins — and finding out whether AI can do it faster and cheaper.

For a hospitality business, that might be automated stock ordering based on sales patterns. For a merchant, it might be AI that reads market reports and pulls out the numbers you actually need. For a retailer, it might be customer service that handles the straightforward queries so your team can focus on the ones that matter.

The failure trap

Here’s the bit that doesn’t make the headlines: most AI projects fail. Various studies put the failure rate at anywhere from 50% to 85%, depending on who you ask.

The reason isn’t that the technology doesn’t work. It’s that businesses approach it wrong. They start with the technology (“we should use AI”) instead of starting with the problem (“we’re spending 20 hours a week on data entry”). They buy expensive platforms before they’ve proven the concept. They hand it to an IT department — or worse, a committee — and wonder why nothing ships.

The businesses getting real value from AI are the ones treating it like any other business decision: start small, prove it works, then scale.

Three things to do now

You don’t need to be Block. You don’t need to lay anyone off. But you do need to start paying attention. Here’s where I’d begin:

1. Audit your time sinks. Spend a week noting every task that’s repetitive, manual, or data-heavy. Stock counts, report formatting, email triage, invoice processing — anything where a human is doing what a machine could do. That’s your shortlist.

2. Pick one and test it. Don’t try to transform your whole business. Take the most obvious candidate from your list and run a small proof of concept. Can AI handle your booking enquiries? Can it categorise your expenses? Can it generate your weekly reports from raw data? Test it properly, measure the results, then decide.

3. Talk to someone who builds this stuff. Not a big consultancy that’ll sell you a six-month discovery phase. Find someone who understands your kind of business and can tell you honestly what’s worth doing and what isn’t. A good conversation costs nothing and could save you months of going in the wrong direction.

The bottom line

Block’s story isn’t really about Block. It’s about what happens when businesses figure out how to use AI operationally — not as a gimmick, but as a core part of how they work.

The technology is here. It’s accessible. It’s affordable. The only question is whether you start figuring it out now, or wait until your competitors already have.

If you want to talk through what AI could realistically do for your business, book a free call. 30 minutes, no sales pitch, just an honest conversation about where you are and what might be worth trying.