5.8 — The new AI jobs

🚀 The new jobs that are exploding (2025-2026 data, ballpark figures to cross-check — see Sources):

• AI Engineer — the fastest-growing role (no.1 on LinkedIn, +143% over a year). Builds agentic applications.
• MLOps Engineer (Machine Learning Operations) — deploys and stabilizes AI in production (×9.8 in 5 years); the bottleneck when moving from prototype to the real thing.
• AI Governance / Ethics Officer — ensures AI does not discriminate and complies with the law (growth +1,257%).
• AI Security Specialist / ’‘red-teamer’’ — attacks agents to find the flaws (prompt injection…) before the hackers do.

💰 And overall, according to PwC (AI Jobs Barometer), wages are growing significantly faster in AI-exposed occupations (on the order of +56% over the measured period). (Dated and debated figure — cross-check it, see Sources.)

📝 Honesty note: ’‘Loop Engineering Engineer’’ is not a real job title — it’s a teaching concept. The real titles in demand are those above.

🟢 In plain words — the created jobs all revolve around the same idea: someone has to build the agents, put them into production, oversee them (ethics, security). These are not jobs reserved for coding geniuses: they call above all for judgment and the ability to drive the machine rather than do everything yourself.

🧩 Concrete example — a person from a legal background, without heavy technical training, can move into an AI Governance Officer role: they check that a CV-screening agent does not discriminate and complies with the law. Their domain expertise (the law) becomes valuable because of AI, not despite it. (Illustrative path.)

🔑 The key to the future: the challenge is no longer ’‘knowing how to use a computer’’, but developing your critical judgment and your capacity to act in front of the machine. Knowing what to ask, verifying the answer, and deciding — that’s what cannot be automated.

⏳ Freshness note: these growth figures (jobs, salaries) move fast and depend on sources. The underlying trend — AI creates strong demand for profiles that build, deploy and oversee agents — is solid.

❓ Check your understanding — According to this lesson, is the most valuable future skill ’‘knowing how to code’’ or something else?

See the answer

Something else: critical judgment and the capacity to act. Knowing what to ask, verifying the answer, and deciding. Code stays useful, but increasingly it’s the AI that writes it; what cannot be automated is the human who drives, checks and decides.

✅ In short

• The exploding jobs: AI Engineer, MLOps, AI Governance, AI Security.
• Wages grow faster in AI-exposed occupations (~+56%, PwC — cross-check).
• The real future skill: judgment + capacity to act, not just code.