Browse Skills principles of artificial intelligence

principles of artificial intelligence

🔻 Declining ESCO reuse: sector-specific

The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.

principles of artificial intelligence — the artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories. McKinsey's Skill Change Index places it in the declining band (SCI 54.52/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. ESCO classifies it as a sector-specific (rooted in one industry) skill within knowledge. It is currently listed by 5 occupations in our catalogue, including environmental technician, knowledge engineer, language engineer, and computer vision engineer.

Category: knowledge › information and communication technologies not elsewhere classified SCI: 54.52/100 Also known as: artificial intelligence in process, principles of AI

Occupations that require principles of artificial intelligence

Showing top 5 of 5 occupations · ranked by India employment volume, then AI-durability.

environmental technician · 🤖 5.0/10
knowledge engineer · 🤖 5.0/10
language engineer · 🤖 5.0/10
computer vision engineer · 🤖 5.5/10
IoT developer · 🤖 5.9/10

Frequently asked questions

What is principles of artificial intelligence?

The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.

What category of skill is principles of artificial intelligence?

ESCO classifies principles of artificial intelligence under the knowledge category, specifically in the information and communication technologies not elsewhere classified subcategory.

Is principles of artificial intelligence an AI-durable skill?

McKinsey's Skill Change Index places it in the declining band (SCI 54.52/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. Prioritise this skill only when it directly enables paid work today — plan for AI to absorb more of it every year.

Which jobs require principles of artificial intelligence?

In our catalogue, 5 occupations list principles of artificial intelligence as a required or important skill. The top occupations by employment volume include environmental technician, knowledge engineer, language engineer, computer vision engineer, IoT developer.

How transferable is principles of artificial intelligence between industries?

ESCO tags principles of artificial intelligence as a sector-specific (rooted in one industry) skill — a signal of how portable it is when you change field.

Is principles of artificial intelligence the same as artificial intelligence in process?

Yes — principles of artificial intelligence is also known as artificial intelligence in process, or principles of AI. They refer to the same underlying capability in the ESCO taxonomy.

How can I learn principles of artificial intelligence?

The most reliable path is to pick a job or project that demands principles of artificial intelligence and learn through delivery. Complement that with role-specific roadmaps and short courses. Explore the occupations below to see where this skill is used in practice.

Data: ESCO v1.2.1 (CC-BY-4.0). Durability framework informed by McKinsey Global Institute (Nov 2025). See our methodology.