Artificial intelligence has a remarkable ability to make people either very excited or thoroughly miserable, sometimes within the same conversation.
One minute, we’re being told that AI will revolutionise the way we work. The next, we’re hearing that entire professions are about to disappear and we’d all better learn to code, become plumbers or buy a smallholding somewhere far away from the internet.
The truth, as usual, is a little less dramatic.
AI is changing the way people work, and some jobs will undoubtedly change as a result. Certain tasks will become automated, some roles will evolve and businesses will find new ways to get things done. But the more useful question for most people isn’t whether AI will replace them. It’s whether they understand how to use it to do their work better.
The advantage isn’t knowing everything
You don’t need to become an AI engineer to benefit from artificial intelligence.
You need to understand what it can do, where it fits into your work and how to use it sensibly.
A small business owner might use AI to organise research, draft a first version of a proposal or summarise a lengthy document. A marketing professional might use it to explore content ideas, analyse customer feedback or develop different approaches to a campaign. Someone working with large amounts of information might use AI to help classify, organise and retrieve that material.
In each case, AI can reduce the time spent on certain tasks, leaving more room for the parts of the work that require judgement, experience and human understanding.
That is where the opportunity lies.
AI is a tool, not a replacement for thinking
One of the problems with AI is that it can produce answers so quickly and confidently that you might be tempted to accept them without asking too many questions.
Please don’t.
AI can make mistakes, invent facts, misunderstand instructions and produce perfectly polished nonsense. It can also reflect biases in the information it has learned from, or miss important context that a person working in the field would immediately recognise.
The fact that something reads well doesn’t mean it is correct.
This is particularly important when working with research, financial information, legal matters or anything else where accuracy really matters. AI can help with the work, but someone still needs to check the results, understand the implications and take responsibility for what gets used.
The better you understand your subject, the better equipped you are to judge whether the output is any good.
The real advantage comes from knowing your work
Imagine two people using the same AI tool to produce a marketing plan.
One types in a vague request, accepts the first answer and sends it off. The other understands the business, knows the audience, provides useful background information, challenges the suggestions and refines the result until it becomes a practical plan.
They have access to exactly the same technology.
The difference is how they use it.
AI works best when you bring something to the process yourself: knowledge, context, experience and an understanding of what you’re trying to achieve. The technology can help you explore possibilities and get through certain tasks more efficiently, but it cannot automatically supply all the judgement needed to make good decisions.
That is why learning to use AI well is more valuable than simply collecting a list of clever prompts.
Start with the work, not the technology
For a business considering AI, the sensible starting point is to look at how work currently gets done.
Which tasks take up too much time? Where is information difficult to find? What gets repeated unnecessarily? Which processes involve large amounts of reading, writing, sorting or summarising?
Those are the sorts of questions that can reveal useful opportunities.
You might discover that AI can help with a process that used to take several hours, or that it can make information easier for your team to work with. You might also discover that a task is too sensitive, too complicated or too dependent on human judgement to automate safely.
Both findings are valuable.
There is no prize for using AI everywhere, and a business doesn’t need an elaborate AI strategy just because everyone else is talking about one.
Learn to work with it
AI is not going to make every job disappear, and nobody can predict precisely how the working world will change over the next few years. What is clear is that the technology is becoming increasingly useful across a wide range of tasks, and understanding its strengths and limitations is becoming an important skill.
You don’t need to panic, and you don’t need to jump on every new tool that appears.
Start by understanding your own work, identify where AI might help, and learn how to use it responsibly. Keep your critical thinking switched on, protect confidential information and make sure a human remains accountable for important decisions.
The opportunity isn’t simply to make machines do more work.
It’s to give people better ways of doing theirs.
AI is clever. Knowing what to do with it is where you come in.
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