AI can pass the test. But can it do the whole job?

A model can pass an exam, beat a benchmark, write code, or produce an impressive answer in seconds. Real work is much harder. It involves incomplete instructions, changing priorities, messy information, unexpected problems, human relationships, long chains of decisions, and responsibility when something goes wrong. This video examines the gap between demonstrating intelligence in a controlled test and reliably completing an entire job from beginning to end. What happens when the goal changes halfway through? Can AI recognise when it has made a mistake? Can it decide what matters without being told? And if it can eventually handle the work, what role is left for the human? The answer may be more complicated than “AI replaces everyone” or “AI is only a tool.” #ArtificialIntelligence #AGI #FutureOfWork #Technology