For much of history, intelligence has been seen as a defining human trait — the ability to reason, create and solve problems. The rise of artificial intelligence is challenging that assumption.
Systems developed by organisations such as OpenAI and Google can now perform tasks that once required human expertise, from writing and coding to analysing complex data.
This has led to a broader question: if machines can replicate aspects of intelligence, what makes human thinking unique?
Some researchers argue that intelligence should be redefined. Rather than focusing on individual capability, it may be better understood as a combination of human and machine interaction.
Others emphasise qualities that remain difficult for machines to replicate, such as emotional understanding, ethical judgment and creativity in unfamiliar contexts.
The debate is not purely theoretical. It has practical implications for education, employment and how societies value different skills.
If machines can perform certain cognitive tasks more efficiently, the importance of human intelligence may shift toward areas that require interpretation, context and meaning.
At the same time, reliance on AI raises concerns about dependency and loss of expertise.
Experts suggest that the future may not involve competition between human and machine intelligence, but collaboration between the two.
In that sense, intelligence is becoming less about what humans can do alone — and more about how they work with increasingly capable systems.
