The Value of Thinking for Yourself

I was a teenager when I first learned to look at photographs properly. After school, hour after hour, I sorted slides and black-and-white prints at the back of the picture archive at Billedhuset in Copenhagen, studying every image through a pair of pink glasses. I did not quite understand how the photographers captured what they did, and I was, if I am honest, a little in love with them for it. Most of them had learned their craft in the darkroom, where every frame cost film, chemicals and time – and so every frame was a decision. They were not easily satisfied.

Years later, at Tomorrow, we watched our industry move from film to digital in a few short years. Suddenly a photograph cost almost nothing. The number of images multiplied. The number of good ones, I must admit, did not.

Artificial intelligence is now doing the same to answers. A business strategy before breakfast, a competitor analysis over coffee, a new brand concept by lunchtime. The question those photographers faced each time they pressed the shutter now belongs to every leader: of everything that is possible, what is genuinely worth doing?

I applaud what this technology makes possible, and as a founder building with it, I have every reason to. Yet I find myself paying closer attention to a capability that may grow more valuable as the technology improves: the ability to think for ourselves. To think as humans. The human mind is not always predictable; it can be quirky and whimsical, and that is precisely what makes it so wonderful to be human. For anyone leading a company, whimsy may not top the list of priorities. With the rise of AI, however, it has become a commercial question as much as a philosophical one.

The value of constraints

For much of my working life, creating something new meant working within limits: limited budgets, limited information, limited time. Those constraints were not always welcome, but they forced decisions. Working with international brands and creative talent taught me that the strongest idea is seldom the most elaborate. Sometimes it is the simplest one, carried through with conviction. Sometimes it is the idea nobody planned for, the one that arrives sideways while everyone is busy with the brief.

Today we can test directions and challenge assumptions at a pace that would have seemed implausible only a few years ago. For smaller businesses, particularly in creative industries, that is an enormous opportunity. Yet more options do not, by themselves, create more value.

The darkroom photographers understood this instinctively. Abundance does not choose for you. Every additional option is one more thing someone must have the judgment, and the nerve, to reject.

AI can help with the analysis, and it does so remarkably well. It cannot, however, take responsibility for the consequences. That belongs to the people leading the business, and so does the judgment of which options deserve our attention at all.

Creativity needs direction, too

I have always been drawn to the meeting point between creativity and commerce. Creative people see possibilities; organisations need priorities. The most interesting businesses manage to hold both, originality and direction, without letting either smother the other.

AI adds another dimension. Making something has never been easier. Making something that means something to someone is as difficult as it ever was.

When a brand can produce endless images, copy and concepts, volume tells you very little about quality. Taste, perspective and the boldness to choose matter more. So does the confidence to say no.

This matters particularly to companies built on aesthetics, craftsmanship or an emotional connection with their customers. For them, efficiency is welcome, and distinctiveness is the whole point.

Beyond productivity

Much of the public conversation about AI still revolves around productivity: hours saved, tasks automated, output increased. These are legitimate questions, if somewhat narrow ones.

I would much prefer to see AI as a chance to become more thoughtful: to give people more room to explore ideas and challenge assumptions, and to spend less time gathering information and more time considering what it means. That possibility interests me far more than automation alone.

It also asks something of leadership. Implementing new technology is relatively straightforward compared with changing how an organisation thinks and works. People need direction, trust and room to develop new capabilities. They need leaders willing to admit that technology will not have every answer, particularly when it sounds exceptionally convincing.

There is a certain irony in this. The better AI becomes at supplying answers, the more our ability to frame meaningful questions matters, along with the judgment to know which answers to act on.

For a business, those questions tend to be disarmingly simple. What are we actually trying to achieve? What makes us different? What do we want to preserve as we grow, and what are we prepared to change?

The responsibility to choose

I am, by now, one of those people who truly love AI. I see enormous potential for entrepreneurs and businesses willing to reconsider how they operate, and I have no wish to return to a world of fewer possibilities. Yet for all my optimism, I am convinced it should never ask us to surrender our own judgment. If anything, it should teach us to use that judgment with greater care.

I still think of the photographers whose work I sorted in that archive. Scarcity gave them a discipline: to look hard, to choose deliberately and to stand behind the frame they chose.

AI will happily offer a hundred strategies, a thousand images and an answer to every question we think to ask. The work that remains ours is deciding what matters and taking responsibility for the choice. That is where a business finds its character: in decisions that express what we care about and are prepared to stand behind.

An answer, after all, is not the same as knowing what to do.