What makes you valuable, when your skills are automated?
It's time to review our core assumptions about our professional value. And stop just learning skills and chasing titles.
By Elina ·
We have a design flaw for the world we’re now in. The way we think is set early, shaped by the values and beliefs formed in our early years, and that’s not a great design for a world where the pace of change keeps accelerating.
Most of us were taught the same formula: choose a profession, master the relevant skills, and in return you get security, a career, a title that says what you’re worth. For a long time, that formula was reliable enough that you didn’t need to look past it.
It’s starting to look less certain. Whether AI replaces or enhances your job depends mostly on whether you’re asking a sceptic or an optimist, and neither of them actually knows.
What does look increasingly certain is that AI can make knowledge obsolete faster than we can absorb it. Learning a new technical skill is starting to lose the point, because the pace of innovation may soon outrun a person’s capacity to catch up.
In high uncertainty, the right answers are hard to come by. So we may need to settle for the right questions. The one bubbling up right now, as knowledge-based and repeatable skill gets automated, is: how do I create value as an individual, a professional, a human?
If that question makes you uncomfortable, it makes me uncomfortable too. Here’s where I’d start looking for the capabilities that make up that value.
Be a better human, not just a better expert
That phrase still sits a little awkwardly said out loud. I’ve decided it’s the right frame anyway, it separates what a human contributes from what a machine or an automated process contributes, something we’ve probably discounted for too long. The human part is in the intangible: unique, imperfect, not automatable, built from lived experience and character: judgement, imagination, taste, the way you are with yourself and with others. If you’re used to working in facts, numbers, and process, this can sound soft. It’s been treated that way for a long time. That’s exactly the assumption worth re-examining.
Capabilities, not skills
Capabilities are built through practice, and they show up as your own particular way of dealing with reality, which is what makes them hard to automate. Combined with your domain knowledge, they’re what shapes not just your expert value but your human one. There’s research behind each of these four, but this isn’t a definitive list. The point of a capability is that it’s genuinely yours. These four are places to look, not boxes to tick.
I. Sense-making
Sense-making was never about finding the one correct interpretation. It’s building a good enough read of a messy situation, so you can move forward and keep revising it as you go. Part analysis, part pattern-spotting, part separating signal from noise, part something closer to storytelling: the narrative that gets people moving instead of lost, even without full clarity. It’s a real leadership-in-uncertainty skill.
Why it matters: there’s no shortage of information. What’s scarce is the judgement to navigate it, usually built through lived experience, and hard to hand off. MIT found that people who leaned on AI to help them write showed measurably weaker neural engagement while doing it, and over 80% couldn’t accurately quote the essay they’d written minutes earlier. When we outsource the synthesis, we stop building the connections that make judgement possible later. Use it or lose it applies here as much as anywhere.
It’s your strong muscle if:
someone brings you a new idea, and you can ask the few questions that sharpen it or expose the weak point, without shutting it down
in ambiguity, you can hand your team a narrative that’s honest about the difficulty without either softening it or spreading panic
you notice the one detail that actually matters in a pile of noise, and act on it before the full picture is fully seen
you can revise your read of a situation without defending your first take just because it was yours
It’s the one to build if:
you wait for complete information before deciding, even when the decision is overdue
ambiguity tends to spike your anxiety rather than sharpen your focus
you default to the loudest framing in the room rather than building your own read
once you’ve formed a view, new evidence struggles to move it
II. Vision-setting
The ability to imagine an outcome, put language to it before anyone’s confirmed it’s right, and shape the way toward it. It’s a totally different ability to executing against a goal someone else already defined. This ability also seems to be harder to cultivate in people who’ve spent their careers heads-down in technical implementation. Ask a deeply technical person where they want to be in ten years, and the answer often collapses straight back into the something very tangible, but rather flat and lacking aspiration. Worth noticing in yourself before you notice it in anyone else.
It’s your strong muscle if:
you come up with ideas and see openings before anyone points them out
you can picture a future clearly enough to bring others into it with you
you can name the why behind the work, and reach for it when the team’s morale needs it
It’s the one to build if:
asked where you want to be in a few years, you answer with a title or a tool, not a picture of who you’re becoming
you’re more at ease reacting to someone else’s plan than proposing your own
you struggle to explain why a piece of work matters beyond the fact it was assigned
you wait for permission before naming what you actually want
III. Emotional awareness and cognitive flexibility
The ability to manage yourself, reframe when the ground shifts, and see yourself and others clearly. It matters more than it used to: innovation, AI ethics, governance — more areas require having an actual stance, and building a position that’s flexible without losing its grounding. And that position is built through connection with others, through empathy, and self-awareness, not just through analytical thinking in a bubble.
Knowing yourself isn’t the same as managing yourself. It means looking into the layers underneath performance: emotional, and even spiritual, rather than stopping with logic alone. Knowing your own inner world tends to be what opens you to somebody else’s.
It’s your strong muscle if:
you notice your own reaction to a situation before it leaks into how you handle it
you can hold two conflicting reads of a person or event without rushing to resolve it
people bring you bad news without bracing for how you’ll take it
you can change your position when the evidence changes, without it costing you your sense of self
It’s the one to build if:
your first move under criticism is to defend or explain before you’ve actually taken it in
it’s easier to notice others’ feelings than your own
once you’ve decided how something should go, contrary evidence reads as an attack
you rarely give yourself the credit or slack you’d give someone else
IV. Social connection
Real conversation with real people, kept up on purpose rather than left to happen by accident. The research here is genuinely mixed, and worth holding that way rather than flattening into a warning. A Harvard study found talking to an AI companion reduced loneliness in the moment about as much as talking to a person did, more than scrolling or gaming did. People felt heard, and that registered as connection. But a randomised trial comparing two weeks of chatbot conversation against two weeks of real human conversation found only the human version produced any lasting improvement. And a study published this year in Nature Human Behaviour found that for people already isolated AI companionship correlated with things getting worse. The pattern underneath: AI can convincingly simulate being heard in the moment, but it has no stake in you, no friction of its own, nothing that builds the kind of durable trust real relationships require. But social connection is our biggest asset, people what to work with people who they trust, people want to feel connected, and to belong. Building nurturing social connections is probably the most important capability we need to nurture, not only for leadership, but for the sake of our own well-being.
If this is your muscle:
you create a field of relationships in different areas of life
people trust you and want to work with you
you know what people are good at, and how to build a real exchange of value with them
you are curious about others, you listen and hold deep conversations
If it’s the one to build:
your closest relationships have gone quiet, and you tell yourself it’s temporary
you’d rather work a hard feeling out alone, or with a chatbot, than bring it to a person who might see you struggling
your calendar is full of meetings and short on conversation that isn’t transactional
you measure a relationship by whether it’s useful right now, more than whether it’s real
Where to start
Naming a capability isn’t the same as building it, and none of us are equally strong across all four.
🔍 If you want a clearer read on where you actually stand, you can try a small assessment I build, I called it Capability Vector and it helps you envision what are you striving for and what capability could get you there.
Self-authorship, underneath all of it
If I had to name the one thing underneath all four, it’s this. Self-authorship is the muscle that lets you actually answer the courageous questions. Can you define your own value, your own direction, hold a sense of your worth without needing it confirmed from outside. Build yourself in line with your own values rather than other people’s expectations. Make your own choices without the pull to please. Own your mistakes without pushing the blame elsewhere, and accept your flaws without letting them define your worth downward. In the end, it’s the capability to write your own story while the world stays uncertain and most of what’s happening sits outside your control.
A strong sense of self isn’t handed to anyone at birth. It’s built, over a life and it can be built more deliberately once you decide to pay attention to it.
Final Thoughts
This is not a call to reject AI or learning technical skills. This is a call to augment our expertise with a new layer, that might sound less concrete, but could in fact create the winning combination, shaping your unique value.
Reading about four capabilities is one thing. Knowing where you want to focus is another. If you interested to take this reflection further, you can try my free tool The Capability Vector, it’s a guided reflection which helps you prioritise what needs more attention now.
Originally published on Substack.