40% Cuts, Infinite Excuses: What AI Layoffs Really Mean

Block cut 40% of its workforce. That fact lands like a hammer. Tens of thousands of paychecks gone. Thousands more watching their phone screens, waiting for the next email.

Jack Dorsey says new intelligence tools and flatter teams justify the purge. Translation: do more work with fewer people and pay less for output. That’s the line executives use when they want payroll trimmed and optics cleaned.

Don’t swallow the propaganda

AI is real. It automates routine tasks. It writes first drafts, summarizes long reports, and can ghost-produce code. But it’s not a morality-free scapegoat for layoffs. Companies that cut 40% don’t do it because algorithms woke up. They do it because boards want margins, investors want headlines, and leadership wants a story that masks the unpopular decision.

I’ve seen this pattern before: new tech arrives, bosses promise retraining, HR emails about "upskilling," then you’re out the door. The script looks different depending on the decade. The consequence is the same.

Markets and media will normalize it

Wall Street will cheer “efficiency.” Media will call it “transformation.” Tech bros will sell you the dream of smaller teams doing more with AI. All true in the same way snake oil is often warm and amber: it feels good until the hangover.

Meanwhile other industries are signaling the same risk. Netflix buying InterPositive — an AI filmmaking tool company tied to Ben Affleck — tells you creative roles are next in line for automation pressure. The toolset for generating acceptable visual content is getting better, faster, cheaper. That’s not distant speculation. That’s demand meeting supply.

This isn’t just an HR problem — it’s a survival problem

If your income depends on an employer’s tolerance of legacy processes, you’re exposed. If your value is a job title that machines and lean org charts can replace, you’re exposed. If your balance sheet is two weeks of runway, you’re exposed.

Don’t confuse this with inevitability. Opportunity follows disruption. People who adapt early capture outsized gains. People who ignore reality get swept out with the tide.

Reed’s take: what this means and what to do about it

1) Own skills, not titles. Learn the AI tools your industry uses. Learn automation so you’re the person who designs the system, not the one replaced by it. Build demonstrable outputs — not buzzwords.

2) Own customers. If you can bill a client directly, you hold leverage. Employers cut people with weak customer ties first. Strengthen your relationships and get them on a retainer if you can.

3) Build multiple income streams. One paycheck is a single point of failure. Freelance. Build a side business. Automate cashflow where possible — I run AI automations and crypto strategies for that reason.

4) Increase your runway. Save aggressively. Six months is minimum. Twelve is better. Liquidity buys options.

5) Treat corporate promises as noise. Training programs are PR until you see a promotion or a contract that locks you in. Plan your exit before you need one.

6) Watch the broader tech moves. If media giants buy AI creative shops, expect adjacent roles to get squeezed. If implantable tech or pervasive sensors become mainstream, privacy and control will be the new battlefield. Don’t be naive.

Cutting people isn’t progress. It’s redistribution of risk. Your job is to spot the shift early, make practical changes, and put yourself on the side of opportunity. That’s how you win when the suits start calling layoffs "transformation." — Reed Calloway