Sticking Your Head in the Sand Is Not an AI Strategy, It's a Real Threat

Sticking your head in the sand is not an AI strategy. It is a real threat. AI is not going away. And pretending it is not happening will not protect your business. It will leave you further behind.

But responding to AI takes more than choosing a tool and telling everyone to start using it. There are people involved. There are processes to understand. There is client information to protect, and intellectual property that makes your business yours.

If you want your team to adapt, they need leadership, clarity and support. Not just another login.

Talk about the question sitting quietly in the room

When you start talking about AI with your team, there is often a bigger question underneath the conversation: “If I use this, will I still be needed?” That is a fair fear. And leaders need to talk about it.

Someone may be curious about what a tool can do while also feeling worried about what it means for their role. Those two things can exist together. If you only talk about efficiency and time savings, you may not be addressing what your people most want to understand.

What are you trying to achieve? How do you expect the work to change? What is still uncertain? You do not need to pretend you have every answer. But you do need to make room for the questions.

Be clear about the purpose

AI should help your people spend less time on repetitive work and more time using their judgement, making better decisions and coming up with better ideas. That needs to be explained in practical terms.

What repetitive work are you hoping to reduce? Where does someone’s experience matter? Which parts of the work need a human being to assess the situation and decide what happens next?

“Use AI to be more productive” is a broad instruction. It does not necessarily help someone understand what to do differently when they sit down to work. Start with the work itself. Then consider where a tool could genuinely help.

Understand the process before you automate it

Before you can automate a process, you need to understand it. That means getting people to document what they actually do. Not just how the process is supposed to work.

There can be a difference. The written version might look straightforward, while the person doing the work knows about the extra checks, the missing information or the exceptions that need careful handling. You need that knowledge.

Ask people to walk through the work. Where does it start? What information do they need? Which steps are repetitive? Where do they need to stop and make a judgement?

This is also a chance to ask a better question: “How can we improve this?” Not, “How have we always done it?” There is little value in making a process faster before you have considered whether the process itself makes sense.

Involve the people doing the work

Your team’s involvement matters for more than documentation. If people are worried that AI will make them unnecessary, asking them to explain their work without discussing the purpose may only add to that concern.

Make the connection clear. You are asking them to help identify where repetitive work can be reduced and where their judgement remains important. They need to understand why their input matters.

And you need to listen when they point out something the tool may not account for. The person doing the work may be able to explain why a step that looks simple requires more care than you realise. That is useful knowledge. Do not overlook it in the rush to automate.

Make the boundaries clear

Your team also needs to know which AI tools are approved, which ones are not, and why. Especially when it comes to client information and protecting your business’s intellectual property. Do not leave people to guess.

Can they put particular information into a tool? Do they need to remove details first? When should they stop and ask for guidance? Those expectations need to be clear enough to use in everyday work.

Telling people to “be careful” is not the same as explaining what careful use looks like. And if they are unsure, they need to know where to take the question.

Trying ChatGPT is not the same as knowing how to use AI well

Please do not assume that because someone has tried ChatGPT, they know how to use AI properly. I have seen people say they are using it when they have not really been shown how to use the tools well or safely.

Give your people training. Help them understand how to give a tool useful information, how to assess what it produces and when they need to question the result. Make it clear that an answer appearing on the screen does not remove the need for human judgement.

People also need opportunities to talk through what is working, what is confusing and where they need more help. A tool being available does not mean your team feels confident using it.

Adaptation needs leadership

You do not need to solve every possible AI use case at once. Start with work you understand. Make the purpose clear. Set boundaries. Give people training and support.

Then pay attention to what you are learning. Where is repetitive work genuinely being reduced? Where does the process need improving? Where are people still unsure about what is expected?

This is not something to hand over to your team with an instruction to figure it out. The question is not whether your team will be affected by AI. They will be. The question is whether you will help them adapt, or leave them to work it out alone.