The Future of Work Isn't What You Were Told

There's a narrative that repeats itself at forums, conferences and headlines: "AI is going to destroy millions of jobs". It's dramatic, it's viral and... it's too simple. And it also leaves out the other half of the story.

Because at the same time AI is changing what we do and how we do it, another transformation is happening in parallel: Generation Z is entering the workforce with a completely different relationship with work. I wrote about this in more detail in why Generation Z is rewriting the rules of work, but the core idea is this: AI is changing the tools, Generation Z is changing the rules. If you only look at one of the two shifts, you're missing half the picture.

What the Data Says About Automation

The World Economic Forum estimates that by 2027, automation will displace around 83 million jobs. But it will also create 69 million new ones. The net balance is negative on paper, but those 69 million new jobs will be, for the most part, roles that don't exist today or are only just emerging.

The problem isn't automation. The problem is the speed of adaptation, and that's where the generational variable comes in: adapting to a new tool isn't the same at 45 as it is at 23, and being young doesn't automatically mean adapting better. What does change is your relationship with uncertainty.

The Three Types of Work That Will Survive (and Thrive)

1. Work That Requires Deep Empathy

AI can process emotions, but it can't feel them. Care roles, human leadership, complex negotiation and cultural creativity will remain human territory for a long time.

2. Work That Directs AI

Someone has to define which problems are worth solving, evaluate whether the AI's output is correct, and make decisions with real consequences. That "someone" is you, if you prepare.

3. Work That AI Can't See

There's local context, tacit knowledge and accumulated intuition that no model captures. The professional who combines that knowledge with the ability to use AI will be practically irreplaceable.

My Perspective From the Field

I've given talks in Paraguay, Spain, Morocco and Uruguay, and the pattern is consistent: the organisations that thrive with AI are not the ones that use it the most, but the ones that integrate it best into their team's culture. And those same organisations tend to be, not by coincidence, the ones that best understand what their younger people need to stay and contribute.

The question isn't just "do we use AI?". It's "how do we change the way we work so that AI multiplies what we already do well, and so the next generations want to keep building it with us?"

Three Things You Can Do Today

1. Identify the repetitive tasks in your role that could be automated. Not to eliminate yourself, but to free yourself.
2. Experiment with AI tools in your area. You don't need to be technical to use them.
3. Develop supervision skills: judgement, critical evaluation, communication, and decision-making under uncertainty. Those skills don't expire with any model update.

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The future of work is not an accident. It's a choice, and it's being made right now by two generations at once.

Want to reflect on this with your team? Let's talk.