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- Goldman Sachs Counted the Bodies. 16,000 Jobs a Month.
Goldman Sachs Counted the Bodies. 16,000 Jobs a Month.
Wall Street finally put a number on AI displacement, Meta keeps trimming Reality Labs, and the RTO hammer drops on Home Depot.


“There’s a distinctive signature to authentic people: they prefer meaningful conversations with a few over shallow exchanges with many. Their love is demonstrated rather than declared. Their words and actions align, even when no one’s watching. They bring a quality of presence that makes you feel truly seen, and carry a sense of peace and joy that doesn’t depend on external validation.” -Vex King👋 Welcome, Jobseekers
You’re not imagining it, the ladder is moving while you climb it. Goldman Sachs says 16k net jobs vanish every month, layoffs keep stacking, and recruiters are tossing anything that smells AI written. At the same time AI skills are printing 23% salary bumps, NYC is pulling away, and a few companies are still hiring like it’s 2021. Read this, recalibrate fast, and move where the demand actually is.
🚨 The Big Story: Goldman Sachs research quantified our fears: 25,000 jobs destroyed, 9,000 created
📉 Layoff Report: Meta, Salesforce, ASML, and Ericsson add to 2026's 90,000-person running tally
🔎 The Inside Track: Meta's "slow bleed" strategy, hiring managers spotting ChatGPT resumes
🧠 The Hiring Manager’s Brain: Two-page resumes are back!
💰️ Salary Intel: NYC pulling away from the rest of the country
☀️ The Bright Spot: Cloudflare bets on 1,111 interns while everyone else pulls up the ladder
🏢 Companies to Watch: Noon's $44M stealth raise, a founding engineer role at Temper, and Sona's fresh $45M Series B

🚨: The Big Story
Goldman Sachs research quantified our fears: 25,000 jobs destroyed, 9,000 created
What happened: Goldman Sachs published research this week showing AI is erasing roughly 16,000 net U.S. jobs per month. The breakdown: automation wipes out about 25,000 roles monthly, while productivity gains create roughly 9,000 new ones. The pain falls hardest on Gen Z and entry-level workers, who are overrepresented in the admin, data entry, and customer service roles that AI handles cheapest. Source
Why it matters: This is the first time a major Wall Street bank has put a specific, monthly body count on AI displacement. Until now, the conversation was all vibes and CEO speeches about "transformation." Goldman's economists attached real numbers: 16,000 net jobs gone, every month, for the past year. That's 192,000 jobs in 12 months. And the gap between jobs destroyed and jobs created keeps widening.
Our take: The cruelest part isn't the number. It's who's absorbing the hit. Gen Z workers are flooding into entry-level roles that companies are simultaneously automating. They're being told to "learn AI" while the ladder they're supposed to climb gets pulled up behind them. Meanwhile, senior workers with AI skills are commanding 23% salary premiums. The market isn't just splitting; it's stratifying by age and access in ways that will take a decade to unwind. Companies love to say "AI creates more jobs than it destroys." Goldman's data says: not yet, and not for the people who need them most.
What to watch:
Whether the 16,000/month figure accelerates as AI agents (not just chatbots) roll into enterprise workflows in Q2 and Q3.
Federal response. The MIT study released the same week found AI can handle 65% of text-based tasks at a "minimally acceptable" level. Policy pressure will build.
Hiring patterns at companies that just raised massive rounds. The $252.6 billion in Q1 2026 VC funding has to turn into headcount somewhere.
Your move:
If you're early-career, pivot hard toward data science, MLOps, or AI-adjacent infrastructure roles. Goldman's own data shows those categories are growing while generalist positions shrink.
If you're mid-career, bolt AI fluency onto your existing expertise. The 23% salary premium is real and documented. One deep skill plus AI proficiency is the formula right now.

📉 Layoff Report (Who got cut, how, and why)
Meta, Salesforce, ASML, and Ericsson add to 2026's 90,000-person running tally
Meta: Cutting 200 more employees across Silicon Valley teams by late May. This follows the 1,500-person Reality Labs cut in January and several hundred more in March across Facebook, recruiting, and sales. The metaverse pivot is bleeding headcount quarter by quarter. Source
Salesforce: Cut roughly 1,000 positions across marketing, product management, data analytics, and the Agentforce AI product division. The irony: they're laying off the people who were supposed to build the AI product that replaces other people. Source
ASML: Eliminated 1,700 positions (4% of global workforce), concentrated in management ranks across the Netherlands and U.S. The semiconductor giant cited restructuring, not demand problems. When a company making the machines that make AI chips cuts staff, you know the efficiency religion has spread everywhere. Source
Ericsson: Axing 1,600 employees in Sweden (12% of its workforce there) as the global 5G buildout slows. Telecom infrastructure roles are drying up faster than expected. Source
Bottom line: The 2026 layoff counter has crossed 90,000 workers at 217 companies. The pace hasn't slowed since Oracle's bomb in late March. AI restructuring is the stated reason in over 20% of cuts now, double the rate from 2025. The "we're investing in AI" press release has become the new "we're streamlining operations" press release.

🔎 The Inside Track (What the press releases don't say)
Hiring managers spotting ChatGPT resumes, Meta's "slow bleed" strategy
Blind (Meta): Chatter ahead of the latest cuts suggested a 20% reduction was coming. The actual number landed smaller, but employees say the anxiety did its own damage. Multiple posts describe a "slow bleed" strategy: small rounds every few weeks instead of one big cut, keeping everyone on edge. One engineer wrote, "They don't need to fire you if you quit from the stress." If you're at Meta and haven't updated your resume, you're gambling. Blind
LinkedIn (recruiters): Multiple recruiters posted this week that AI-generated resumes are now a net negative signal. TopResume's blind testing found 33.5% of hiring managers could spot AI-written materials, with Millennial and Gen X hiring managers catching them at a 34%+ rate. The tell: words like "spearheaded," "leveraged," and "navigated complex landscapes" in every bullet. The fix is simple: use AI to generate a draft, then rewrite every line in your own voice with numbers only you would know. Source
Hacker News: The April 2026 "Who's Hiring" thread is live with a healthy mix of funded startups. Notable postings include Temper (SF, $150K to $250K + equity, founding engineer for AI agent orchestration) and Instinct Science (AI for veterinary medicine, acquired ScribbleVet). The thread skews heavily toward AI-native companies, which tracks with where the money is flowing. Thread

🧠 The Hiring Manager’s Brain (One thing HR actually cares about)
Two-page resumes are back.
A Dice.com interview with recruiter Ted Hellmuth this week confirmed what multiple hiring managers have been saying on LinkedIn: for experienced engineers (5+ years), a strict one-page resume is costing you interviews. The reason? One page forces you to strip out the project details and metrics that hiring managers actually scan for.
Hellmuth's advice: keep page one tight (your last 2 to 3 roles with impact metrics), and use page two for earlier experience, certifications, and a focused skills section. The key: every line on page two should earn its spot. No padding, no filler, no "proficient in Microsoft Office."
What to do about it: If your resume is one page and you have 5+ years of experience, expand it. Add specific project outcomes, system names, and quantified results to your top roles. Keep the format clean (single column, no icons, no color-coded sections) and you won't lose anyone's attention. Source

💰 Salary Intel (What the market is actually paying this week)
NYC pulling away from the rest of the country
AI Engineer (Mid-Level, L4/L5), Large Tech: Salaries grew 9.2% year-over-year, the highest increase of any tech role category. LLM developers specifically are averaging $209,000 base. Total comp at top-tier companies pushes well past $350K. Source: Motion Recruitment 2026 Tech Salary Guide. Source
Senior Platform Engineer, Series B/C Startup, Remote: Comp spiked 8.9% YoY. AI skills add a 23% premium on top of base, per WEF data analyzing U.S. job postings from 2019 to 2025. That premium is now worth nearly double a Master's degree (which adds 13%). Source: World Economic Forum. Source
Geographic premiums: NYC leads with 10% YoY salary increases. D.C. and Atlanta follow at 6%. Meanwhile, baseline tech salary growth across the U.S. is projected at just 1.6% to 3.5% for 2026. The gap between AI-specialized and generalist comp keeps widening. Source: Robert Half 2026 Salary Guide. Source
The takeaway: AI fluency isn't a nice-to-have anymore; it's a pay grade. A 23% premium on top of an 8.9% base increase means AI-skilled engineers are pulling away from the pack fast. If you're negotiating right now, know your number and cite the data.

☀️ The Bright Spot (Proof that it's not all bad out there)
Cloudflare bets on 1,111 interns while everyone else pulls up the ladder
Cloudflare is hiring 1,111 interns in 2026 (the number is a nod to their 1.1.1.1 DNS resolver). The program spans Austin, San Francisco, New York, London, Lisbon, and Bengaluru, with 12-week placements across spring, summer, and fall. At a time when tech internship postings have dropped 30% since 2023, Cloudflare is running in the opposite direction. They're also giving every U.S. university student with a .edu email a free year of Cloudflare Workers. One company betting on the next generation instead of replacing it. Learn more

👀 Companies to Watch (Fresh money, open roles, and reasons to apply now)
Noon's $44M stealth raise, a founding engineer role at Temper, and Sona's fresh $45M Series B
Noon: AI-native product design platform that just emerged from stealth with a $44M seed round (one of the largest in design-tech history). Backed by Chemistry, First Round Capital, and design leaders from Stripe, OpenAI, and Apple. Hiring across engineering and design. If you're a designer who can think in code, or an engineer who cares about design systems, this is worth watching. Learn more
Temper: SF-based startup building AI agents for EDI integrations. Hiring a founding engineer ($150K to $250K + equity) to work on agent orchestration and durable execution runtime. Already has paying enterprise customers. Small team, real revenue, hard technical problems. Careers
Instinct Science: AI leader in veterinary medicine. They acquired ScribbleVet in early 2026 and are building a clinical intelligence platform used daily by thousands of vets. Hiring for mobile engineering. Healthcare AI with a built-in user base is a solid bet. Careers
Sona: Raised $45M Series B (April 1) from N47. Workforce management platform for frontline industries. If you've worked in HR tech, scheduling systems, or enterprise SaaS, they're scaling fast and the timing is right. Learn more
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