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“Nothing great was ever built by someone who had to be talked into building it.” -FS

👋 Welcome, Jobseekers

AI layoff theater is cracking, and the quiet rehire wave is where smart jobseekers get paid. While Oracle and Meta keep cutting and RTO gets weaponized as attrition, the edge is getting sharper: watch backfills, tighten your LinkedIn to match your resume, and aim at the companies still spending like Mintlify, Factory, Loop, and GitLab.

• 🚨 The Big Story: Block's AI Layoff Is Quietly Unraveling

• 📉 Layoff Report: Hollywood now forcing return to office?

• 🔎 The Inside Track: RTO crackdown grows, with some execs using it to force attrition

• 🧑‍✈️ Career CoPilot: How to Spot the Rehire Wave Before Everyone Else Does

• 🧠 Hiring Manager’s Brain: 92% of recruiters open your LinkedIn before the interview.

• 📊 Trends & Data: Specialized AI/ML roles are the clear exception.

• 🏢 Companies to Watch: Mintlify, Factory, Loop, & GitLab

🚨: The Big Story

The AI-Washing Layoff Playbook Is Already Backfiring

What happened: In February, Jack Dorsey cut 4,000 jobs at Block (nearly 40% of the workforce) and blamed AI. On April 17, Fortune ran a follow-up where Dorsey "broke down his thought process" and doubled down: he wants AI to replace middle managers across the industry. Behind the scenes, it's messier. CNBC and Humai reported that roughly 95% of AI-generated code changes at Block still need human modification, and a senior engineer recently threatened to quit unless his team was rehired. They were. Fortune | Humai

Why it matters: Block isn't an outlier. Forrester found 55% of employers who cut headcount for AI reasons already regret it, and 32 to 35% have quietly rehired some of the roles they cut. Dorsey is influential. CEOs copy each other, and a lot of them are about to run the same play, fire the same people, and then hire them back six months later under different titles.

Our take: AI-washing is the 2026 version of corporate storytelling. You announce an "AI transformation," the stock ticks up, and 4,000 people lose their jobs so the CEO can look decisive. Then reality shows up. The code still breaks. Compliance still needs a human. Customers still want to talk to someone who can make a call. The rehires happen quietly because admitting the layoff was a mistake would be expensive to the narrative. This is a playbook you should watch, not sympathize with. The workers at Block who pushed back and got their teams reinstated did something you can learn from.

What to watch:

• Reposted job listings at companies that ran public AI layoffs in Q1 (Block, Salesforce, IBM, Meta). Same role, new title, lower comp band.

• CEOs softening the "AI will replace everything" language in Q2 earnings calls.

• Internal engineering blogs quietly admitting production AI code still requires heavy review.

Your move:

• If you were cut in a Q1 "AI layoff," check the careers page of your former employer every 2 weeks. The rehire wave is starting.

• When you interview, ask: "How are you measuring AI productivity gains?" If they can't answer, they're winging it.

📉 Layoff Report (Who got cut, how, and why)

Hollywood now forcing return to office?

• UKG: Cut 950 people on April 21, roughly 6% of the workforce, with heavy hits in Sunrise and Weston, Florida. CEO pointed at "rapidly evolving market shifts, including AI." UKG is owned by Blackstone and Hellman & Friedman; this is the third cut since the 2020 Ultimate-Kronos merger. Source

• Meta: Announced April 20 that it's cutting up to 8,000 roles on May 20. Focus is middle management and non-engineering teams. That's roughly 10% of the global workforce, and leadership is framing more to come later in 2026. Source

• Oracle: The 6 AM email layoff (April 1) keeps expanding. At least 10,000 gone, estimates now reach 30,000 before the restructure wraps. Oracle posted strong Q3 FY26 earnings the week before, so this is strategic reallocation to AI data center capacity, not a financial crisis. Source

• Paramount Skydance: About 600 of 18,000 employees quit rather than return to the office 5 days a week. Cost of the "restructure": $185M. Fortune's reporting this week named 25% of executives who privately admit RTO mandates are a passive layoff tool. Source

Bottom line: 2026 has crossed 100,000 tech workers cut, 47.9% tied to AI in the stated reason. The first 4 months of this year have done what all of 2025 did. If you're employed right now, assume the ground is moving and prep accordingly.

🔎 The Inside Track (What the press releases don't say)

RTO crackdown grows, with some execs using it to force attrition

• Blind: Block threads are full of current and former engineers reporting that the "AI is doing the work" framing doesn't match the day-to-day. One senior engineer said roughly 95% of AI-generated code changes still require human modification, and the AI tools cannot lead in regulated areas like banking. If you're being told your role is being "AI-eliminated," ask to see the production incident log for AI-generated changes first.

• Hacker News "Who's Hiring" (April 2026): The April thread is thick with small AI startups hiring senior engineers while big tech cuts: Temper (Founding Engineer, SF, $150K to $250K + equity), Instinct Science (vet AI EMR), Spade (dairy industry ML), Proven (behavioral health EMR). The money is shifting to applied AI in specific verticals. Thread

• LinkedIn: Fortune's April 17 piece on the worker power shift cited a Resume Builder survey where nearly half of companies plan 4+ day in-office requirements and 28% are phasing out remote entirely. 25% of execs admit the goal is attrition without layoff optics. If you've got a remote offer in hand, read the contract's RTO clause like it's a grenade.

🧑‍✈️ Career CoPilot (Prove you work with AI, not just near it)

How to Spot the Rehire Wave Before Everyone Else Does

If this week's Big Story is right (and the Forrester data says it is), there's a rehiring wave starting at companies that ran public AI layoffs in Q1. That's the opportunity. Here's how to be early.

• Build a watchlist of 10 companies that made public "AI layoff" announcements between January and March. Check their careers pages every two weeks. Same role, new title, quieter comp band is the tell.

• Rewrite your resume bullets to lead with judgment, context, and cross-functional outcomes. "Shipped X to Y customers in Z weeks, navigating A/B/C constraints" beats "Built feature X." AI can write code; it can't navigate constraint A, B, and C.

• If you were laid off from one of these companies, reach out to 3 former colleagues who are still there. Ask what's hurting post-layoff. Those are your leads for the backfill.

• When you're interviewing, ask: "What's the one thing your AI tooling still can't do that you need humans for?" Their answer is your pitch.

• Update your LinkedIn "Open to Work" with the 3 most recent projects you shipped and the business outcomes. Recruiters searching for rehires start there.

🧠 The Hiring Manager’s Brain (One thing HR actually cares about)

92% of recruiters open your LinkedIn before the interview.

92% of recruiters open your LinkedIn before the interview. 87% do it within 6 seconds of scanning your resume. If your LinkedIn title doesn't match your resume title, if your dates are off by a month, if your skills list differs, you get flagged and likely cut.

This comes from multiple recruiter interviews and LinkedIn's own 2026 recruiting data. The mismatch check is automated at some companies now. You don't get the benefit of the doubt.

What to do about it: Block 30 minutes today. Open your resume next to your LinkedIn. Fix every date, title, and skill mismatch. If you changed your job title on one (promotions, re-orgs), change it on both. Consistency isn't a nice-to-have; it's the gate.

📊  Trends & Data (What the numbers are saying)

Specialized AI/ML roles are the clear exception.

• 100,443 tech workers cut so far in 2026 across 155 layoff events (layoffs.fyi, April 22). The first 4 months of 2026 have eclipsed all of 2025's cuts. Source

• 47.9% of 2026 layoffs cite AI as the stated reason, up from under 8% in 2025 (per skillsyncer aggregates). The story is being rewritten. Source

• Goldman Sachs: AI is erasing roughly 16,000 net US jobs per month (25K substituted, 9K added via augmentation). The pain is concentrated on Gen Z and entry-level workers. Source

• 66% of CEOs plan to freeze or cut hiring through rest of 2026, per a survey of 350+ public-company CEOs. Meanwhile, AI Engineer and ML Engineer postings have grown every single month this year. Source

What this means for you: The general market is bad. Specialized AI/ML roles are the exception. If you're not there yet, reskill toward applied AI in a vertical, not generic "prompt engineer" fluff.

👀 Companies to Watch (Fresh money, open roles, and reasons to apply now)

Mintlify, Factory, Loop, & GitLab

• Mintlify: Just closed a $45M Series B on April 14. Building AI-native documentation tooling for developers. Hiring docs engineers, DevRel, and ML engineering across SF and remote. Careers

• Factory: Closed $150M Series C on April 16. AI coding agents for engineering teams. Hiring across ML, platform engineering, and product. Well-funded, growing fast. Careers

• Loop: $95M Series C on April 17. Reverse logistics and returns automation (they power returns for a large chunk of Shopify merchants). Hiring ML, ops, and full-stack. Careers

• GitLab: All-remote, public, 1,500+ people. Consistently one of the best-run distributed companies, with a public handbook and transparent comp bands. Good for mid-to-senior roles that value documentation and async work. Careers