Daily Junction.mobi portalWorld · July 22, 2026 · Liam Chen · 8 min
AI can write essays, generate images, diagnose diseases, and drive cars — here's how it works, what it can't do, and whether it will replace humans.
Artificial intelligence (AI) is software that learns from data to perform tasks that normally require human intelligence — writing, image recognition, decision-making, translation. ChatGPT (released November 2022) was the breakthrough, reaching 100 million users in 2 months and demonstrating that AI can write essays, code, emails, and pass professional exams (bar exam, medical licensing exam). AI will automate 300 million jobs globally by 2030 (McKinsey), with white-collar jobs (lawyers, accountants, writers) more at risk than manual jobs (plumbers, electricians). But AI cannot understand context like humans, be creative (it remixes existing ideas), make moral judgements, or do physical tasks (robots are still primitive). AI regulation is coming — the EU AI Act (2024) bans high-risk AI (social credit, biometric surveillance), the UK proposes sector-specific rules, but the USA has no federal regulation. Here is everything you need to know about AI — what it can do, how it works, and whether it will take your job.
Artificial intelligence (AI) is software that learns from data to perform tasks that normally require human intelligence.
AI that is good at one specific task (e.g., playing chess, recognising faces, translating languages). All current AI is narrow AI.
Examples:
Narrow AI is very good at specific tasks (often better than humans), but useless at everything else. ChatGPT can write essays but cannot tie shoelaces.
AI that is good at everything (like humans). AGI does not exist and may never exist.
What AGI would do:
When will AGI exist?
AI that is smarter than humans at everything. This does not exist and may never exist.
AI doomers (Elon Musk, Geoffrey Hinton) warn that superintelligent AI could escape human control and destroy humanity (like Terminator). But we are decades away from AGI (if it is even possible), and there is no evidence AI will become conscious or malevolent.
AI learns from data using machine learning (a type of AI that improves through experience).
Machine learning is a method where AI learns patterns from data without being explicitly programmed.
Example: Teach AI to recognise cats
The AI was not programmed with rules ("if pointy ears and whiskers, then cat"). It learned the patterns itself from data.
Deep learning is a type of machine learning that uses neural networks (software inspired by the human brain).
How it works:
Examples:
Large language models (LLMs) are AI trained on massive amounts of text (books, websites, articles) to predict the next word in a sentence.
How ChatGPT works:
ChatGPT does not understand what it is writing — it is pattern-matching (predicting the next word based on patterns it learned from training data). But the results are so good that it appears intelligent.
ChatGPT (OpenAI, 2022) can write:
ChatGPT passed:
DALL-E (OpenAI), Midjourney, Stable Diffusion can generate images from text prompts.
Example: "A cat riding a unicorn on the moon" → AI generates a photorealistic image
Google Translate, DeepL can translate between 100+ languages with 90%+ accuracy (better than human translators for simple text).
Google Photos, Facebook can recognise faces, objects, and scenes in photos with 95%+ accuracy.
Tesla Autopilot, Waymo can drive cars autonomously (though not perfectly — crashes still happen).
AI radiologists can diagnose cancer, pneumonia, and other diseases from X-rays and scans with 90%+ accuracy (as good as human doctors).
AlphaGo (DeepMind) beat the world champion at Go (the most complex board game). AlphaZero learned to play chess, Go, and shogi at superhuman level in 24 hours (by playing against itself).
Chatbots (AI customer service) can answer common questions, book appointments, and resolve complaints (though they are often frustrating).
AI does not understand what it is doing — it is pattern-matching. ChatGPT can write an essay about love, but it has never felt love. It does not understand the meaning of the words it writes.
AI can remix existing ideas (e.g., "a cat riding a unicorn") but it cannot create genuinely new ideas. All AI-generated art, music, and writing is based on patterns learned from human-created data.
AI cannot make moral judgements (e.g., is it right to lie to save a life?). It can only follow rules programmed by humans.
Robots are still primitive. AI can drive cars (a controlled environment), but it cannot:
Physical tasks require dexterity, adaptability, and common sense that AI does not have.
AI struggles with sarcasm, humour, and emotion because they require understanding context and human psychology.
Yes and no. AI will automate some jobs and augment others.
McKinsey estimates AI will automate 300 million jobs globally by 2030 (15% of the global workforce). But most jobs will be augmented (AI makes you more productive) rather than replaced entirely.
Example: Lawyers will use AI to review contracts (faster, cheaper), but they will still need human judgement for complex cases.
AI will automate millions of jobs, causing unemployment and inequality (AI benefits highly skilled workers, harms low-skilled workers).
AI can generate fake images, videos, and audio (deepfakes) that are indistinguishable from real. This can be used for:
AI learns from data, and if the data is biased, the AI will be biased.
Example: AI hiring tools trained on historical data (which favoured men) discriminated against women.
AI is controlled by Big Tech (Google, Microsoft, Meta, OpenAI), giving them enormous power over information, jobs, and society.
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