Global Solutions Centre

Artificial Intelligence & Automation

What AI actually is, where it genuinely helps, where it harms — and how to use it with wisdom.

Starter edition · Last reviewed 13 Nov 2026

The challenge

Artificial intelligence is software that learns patterns from data — predicting text, recognising images, spotting fraud, translating languages. It is powerful at narrow tasks and unreliable in ways that surprise people: it can write fluently and still be wrong, because it predicts plausible words rather than knowing truth.

Used well, AI drafts, summarises, tutors and automates drudgery. Used carelessly, it spreads errors, deepens bias, powers scams and quietly deskills the people who lean on it. The question of this decade is not whether to use it, but how — with verification, judgement and human responsibility kept firmly in charge.

What the evidence says

~40%

of global employment is exposed to AI — about 60% in advanced economies and about 26% in low-income countries. Exposure means change, not automatic job loss: roughly half of exposed jobs may gain from AI.

Source: International Monetary Fund analysis, January 2024.

86%

of employers expect AI and information-processing technology to transform their organisation by 2030.

Source: World Economic Forum, Future of Jobs Report 2025 (employer survey).

Practical solutions

Verify everything important. AI output is a draft, never a source. Check facts against primary documents, official sites and your own knowledge.
Keep the human in charge: use AI to prepare, summarise and suggest — people decide, especially on money, health, legal and safety matters.
Protect private information: do not paste passwords, financial details, or other people’s personal data into chatbots.
Learn prompting as a skill: give context, ask for steps and sources, request counter-arguments, and ask the AI to quiz you rather than answer for you.
Watch for AI-powered deception: cloned voices, fake videos and polished phishing. The verification habits in our Cybersecurity centre are your defence.
Build judgement, not dependency: if you cannot explain the answer yourself, you have not finished learning it.

Use an AI assistant wisely — a five-step working method

Frame the task: say what you need, for whom, and in what form ("explain X for a beginner, with an example").
Ask for structure: steps, pros and cons, and what evidence would change the answer.
Challenge it: "What might be wrong with this? What are you unsure about?" Good answers admit limits.
Verify the load-bearing claims against a real source before you use or share them.
Make it yours: rewrite in your own words and judgement. If your name is on it, your mind must be in it.

Test yourself

Questions people ask

Is AI intelligent like a human?
No. Today’s AI is pattern prediction at enormous scale — remarkable at language, images and analysis within its training, but without understanding, conscience or responsibility. That is why human oversight is not optional.

Will AI replace my job?
It will replace some tasks in most jobs and whole roles in a few, while creating new work — the World Economic Forum projects net job growth by 2030. The practical defence is the Careers centre’s plan: learn the tools of your field and strengthen judgement skills.

How do I cite AI help in school or work?
Follow your institution’s rules; where allowed, disclose it ("drafted with AI assistance, verified and edited by me") and never submit AI output as your own unaided work. Honesty about tools is part of professional integrity.

References

Facts above are labelled with their sources and dates. Where this centre offers guidance, it is educational information to help you decide — not a substitute for advice about your own situation.