AI can now draft the email, summarise the meeting, build the report and suggest the roster. For a lot of people, that’s taken a real load off the week.
It isn’t taking jobs the way the headlines suggest, either. In July 2026, the Australian Government looked at what’s happened to jobs here since ChatGPT came out. It found no sign yet of the big job losses people fear. The jobs AI could do most of have grown more slowly than others, but they’ve still grown.
What AI can’t do is the human side of work. Think about the last time something really went wrong at work. A client was upset. Two people stopped talking to each other. Someone good was thinking about leaving. None of that got fixed by a tool. It got fixed by someone who noticed, said the right thing in the right way, and did something about it.
Employers know it. When the World Economic Forum asked more than 1,000 employers around the world which skills matter most, analytical thinking came first, with seven in ten calling it essential. Close behind were resilience, flexibility and agility, and leadership and social influence.
So the more routine work AI takes on, the more your value sits in the work it can’t do. Here are some ways to build those skills.
Most of us listen so we can work out what to say back. In a busy week, it’s hard not to.
But when someone brings you a problem, the first thing they say often isn’t the real problem. “The deadline’s tight” can mean “I don’t know how to do this part” or “I can’t work with that person”. You only find out if you let them finish, then ask one more question before you answer.
The questions that work best start with “what” or “how”, because they can’t be answered with a yes or a no. Next time someone brings you a problem, try one of these:
“Why” is worth saving for later. Even asked kindly, it can sound like you’re looking for someone to blame.
That one extra question takes about thirty seconds. It can save a week of fixing the wrong thing.
People remember how you said something long after they’ve forgotten what you said.
Face to face, your tone does a lot of the work without you noticing. In an email or a chat message, most of it’s lost. A short reply that felt efficient when you sent it can come across as cold, annoyed or dismissive, and the person reading it will usually assume the worst.
So before you send anything with bad news, a correction or a no in it, read it back as the person receiving it. A few habits make that easier:
When something goes wrong, the people around you watch how you react before they decide how worried to be. That’s true whether you lead the team or work in it.
Staying calm isn’t the same as pretending everything’s fine. It means saying plainly what’s happened, what you know, what you don’t know yet and what happens next. People can handle bad news. What unsettles them is someone who seems rattled, or who goes quiet.
We tend to talk about resilience as something each person needs on their own. But in a team, a lot of it comes from whoever stays steady first.
Most of us have a conversation we’ve been putting off. A colleague whose habits are wearing on everyone, a manager who needs to hear the workload isn’t working, or a request we have to say no to.
Avoiding it rarely makes it go away. It usually makes it bigger.
These conversations go better when they’re early, private and specific. Talk about what you’ve seen, not what you think it says about the person. Then ask for their side, and really listen. You won’t always agree, but people can accept an outcome they don’t like when they feel they’ve been heard.
The good news is that all of these skills can be learned, and you don’t need a course to start. A few everyday habits will build them, in you and in the people around you:
AI is going to keep taking on more of the routine work, and for most of us that’s a good thing. It frees up time.
What you do with that time matters. If you use it to listen better, say things more clearly and look out for the people around you, you’ll find the human side of your job is the part that’s hardest to replace.