Skills Intelligence
What the market rewards now
Skill demand is repricing faster than any time in tech history. Here's what's rising, what's falling, and a concrete roadmap for your role.
Rising demand
AI/LLM engineering (RAG, agents, fine-tuning)
The single fastest-growing skill demand in job postings since 2023; commands the largest salary premium in tech.
AI literacy for non-engineers
Prompting, AI-assisted workflows and tool orchestration are appearing in job descriptions across every function.
Cybersecurity & AppSec
AI expands the attack surface faster than defenses; security roles held demand through every layoff wave since 2022.
Cloud & platform engineering
AI workloads run on cloud infrastructure; FinOps and platform skills ride the same capex wave as AI itself.
Data engineering & analytics engineering
Every AI initiative starts with data plumbing. Demand stayed strong even through 2023's trough.
AI product management
PMs who can scope, evaluate and ship LLM features are scarce; ordinary PM demand is flat to down.
Domain + tech hybrids
Health, fintech, legal, energy and industrial domain knowledge paired with technical skill is the hardest profile to automate or offshore.
AI safety, evals & governance
The EU AI Act and enterprise adoption create compliance-driven demand that barely existed in 2023.
Declining demand
Manual QA testing
The most automated-away role of the cycle; postings down sharply as AI-assisted and automated testing spreads.
Routine content writing
Volume copywriting was the first market visibly repriced by generative AI in 2023.
Basic data entry & reporting
The IBM category: back-office roles being absorbed silently through attrition, not layoffs.
Tier-1 customer support
AI agents now handle a large share of ticket volume at major SaaS companies (Salesforce, Klarna-with-caveats).
Traditional recruiting coordination
Scheduling, sourcing and screening are heavily AI-assisted; recruiting was the hardest-hit function of 2023–24.
Pixel-only production design
Asset production is compressing; design demand is shifting up-stack to systems, research and product thinking.
"Declining" means the market is repricing the pure form of the skill — each has an adjacent, rising variant. The roadmaps below show the transition path.
Your repositioning roadmap
Pick your role. Get the honest threat assessment and the moves that change your trajectory.
From code producer to system owner
Software Engineer
The shift: AI now writes a large share of routine code. The risk isn't 'no more engineers' — it's that the market needs fewer people whose main value is producing straightforward code, and more who can own systems, review AI output critically, and translate ambiguity into architecture.
Master AI-assisted development
Use Copilot/Claude/Cursor daily until you're 2–3x your former throughput. Teams increasingly measure output on an AI-augmented baseline — being fast without AI is no longer the bar.
Ship an LLM feature end-to-end
RAG over internal docs, an agent for a support workflow, structured extraction — anything in production. This one line on a resume changes response rates.
Go deeper than the model can
Distributed systems, performance, debugging production incidents, security. AI is weakest exactly where the stakes are highest.
Own outcomes, not tickets
Lead an epic, run incident retros, interface with product and customers. Coordination and judgment are the durable layers of the job.
Tools to know
Not sure where you stand?
Run the two-minute resilience calculator to see which of these moves matters most for your specific profile.
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