The Resourceful Club — Issue #003

Career · AI · Money

The Resourceful Club

Figure it out. Before everyone else does.

Est. 2026

Issue 003

~7 min read

Hey {{first_name}} —

80,000 tech workers lost their jobs in Q1 2026. About half those cuts were directly attributed to AI.

This week: what those numbers actually mean for you, a 10-minute prompt that maps your own exposure, and why your raise might already be in the data — you just haven’t asked for it.

The Take

Which Side of the Line Are You On?

The Q1 layoff numbers are in. AI is being cited in half of tech’s biggest workforce cuts. The data is alarming if you’re watching. It’s clarifying if you’re moving.

Everyone has an opinion about AI and jobs. Most of them are wrong in one direction or the other. The pessimists think AI is coming for everything. The optimists think it’s all hype. The truth is simpler and less comfortable than either: some jobs are already gone, more will follow, and the only variable that matters is whether you adapted before it happened to you. This isn’t a prediction. It’s already the data.

In the same quarter those 80,000 people lost their jobs, PwC released data from their Global AI Jobs Barometer showing workers with AI skills now earn a 56% wage premium over peers in identical roles without those skills. Two years ago that number was 25%. It doubled. Lightcast ran the same analysis on 1.3 billion job postings and found a 28% salary bump for adding just one AI skill to your current role. Two skills: 43%.

The gap isn’t opening gradually. It’s opening fast.

“The jobs aren’t disappearing from under you today. But the compensation curve is already splitting.”

Think about what that means for someone mid-career, not in a technical role. The jobs aren’t disappearing from under you today. But the compensation curve is already splitting. The people who figured this out in 2024 aren’t just doing more interesting work — they’re negotiating from a completely different position.

Marcus, for what it’s worth, is fine. He took six weeks, learned to build AI workflows in the tools he already knew, and started applying. Three offers in eight weeks. Two paid more than his old job.

The question isn’t whether AI is coming for white-collar work. It already is. The question is whether you’re the person who makes five roles redundant — or one of the five.

The takeaway

The layoff data is alarming if you’re watching. It’s clarifying if you’re moving. Pick one AI skill that maps directly to your current role and start building it this month — not next quarter.

The AI Cheat Code

This week’s implementation

Map your AI exposure in 10 minutes

Before you can figure out what to learn, you have to know where you’re actually exposed. Most people guess wrong — they panic about the wrong tasks and ignore the real gaps. This prompt runs a fast triage on your current role and tells you exactly where to focus first.

Copy this prompt

You are a senior workforce strategist who specializes in AI-era career planning. I’m going to describe my current job. Your task is to:

1. Identify the 3 tasks in my role most exposed to AI replacement in the next 18 months — be specific. Name the task, not the category.

2. Identify the 3 tasks in my role least exposed to AI replacement — same specificity. These are where my career moat is.

3. Recommend one AI skill I could add to my current role in the next 30 days that would directly strengthen the tasks in #2.

4. Give me a specific tool and one first action I can take this week to start building that skill.

Be direct. No hedging. Treat this like a strategy session, not a career counseling appointment.

My current role: [JOB TITLE — then describe what you actually do day-to-day in 3–5 sentences]

Example output →

Most exposed: Campaign performance reporting, first drafts of agency briefs, competitive ad monitoring.

Least exposed: Agency relationship management, cross-functional stakeholder alignment, team coaching.

Skill to build: AI-assisted data analysis — using Claude with your existing analytics exports.

First action: Export last quarter’s campaign data as a CSV and ask Claude to identify your three highest-ROI channels and draft the exec summary. Takes 20 minutes. Saves 3 hours.

Works in Claude, ChatGPT, and Gemini. The answers in #2 are where you build. Don’t waste time defending tasks that are already gone — find your moat and go deeper.

Career Intel

The stat

+56% wage premium for workers with AI skills vs. identical-role peers without them

PwC 2025 Global AI Jobs Barometer — analysis of 100M+ job postings. Up from 25% two years ago.

That 56% isn’t a premium for “AI engineer” roles. It’s for accountants who use AI, operations managers who use AI, marketers who use AI. PwC tracked real postings — same company, same title, same seniority, different skill set.

The gap is already priced into offers. Which means it’s already priced into your negotiating position, whether you know it or not. The only question is whether you show up to your next comp conversation with that data — or without it.

Money Move

This week’s contrarian take

The raise is already in the data. You just haven’t asked.

Every 18 months, salary benchmarks shift. Most people don’t check them. Some do — but only once they’re already unhappy and quietly looking. By then they’ve left two or three years of unclaimed compensation behind.

Here’s what the 2026 benchmarking data keeps showing: if you’re in a knowledge-work role and you’ve added any meaningful AI skill in the last year, your market rate has gone up — and your employer hasn’t adjusted for it. That’s not a grievance. That’s a negotiation.

The move is to build the case before you need another offer to make it. Use AI to do the research. Pull current benchmarks for your exact title in your market. Ask Claude to help you draft a comp argument based on skills added and market movement — not just tenure and review scores. Then have the conversation before Q3 performance budgets close.

✦ AI assist: I used Claude to stress-test this against three scenarios where it doesn’t work. Two have real workarounds. One doesn’t: if your company is in a hard freeze, wait for Q1 when budgets reset. As always, this is analysis, not financial advice.

The Stack

1	Read Laid-off tech workers are ignoring a $300K white-collar trade job with 81K openings a year — Fortune Worth reading even if you’re not pivoting. The data center boom is creating a career path that pays executive money and almost nobody’s competing for it yet.

2	Data PwC 2025 Global AI Jobs Barometer The primary source behind the 56% premium stat. More useful than any write-up about it. The sector-by-sector breakdown is where it gets interesting.

3	Contrarian AI Will Reshape More Jobs Than It Replaces — BCG, 2026 I don’t agree with all of it, but the methodology is honest and the pushback on pure displacement panic is worth 10 minutes before you spiral.

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Which Side of the Line Are You On?

The Resourceful Club

Which Side of the Line Are You On?

Map your AI exposure in 10 minutes

The raise is already in the data. You just haven’t asked.

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