Is AI Helping Us Grow, Or Costing Us Our Future Resilience?

The Brand Conscience and Our Fashion Fix team behind the innovative Ask Miranda®, AI enabled tool.

There's no getting away from it. AI is everywhere in business conversations right now, and fashion is no exception, it seems to be where all the budget goes. From forecasting to customer service to content creation, it feels like every function is being offered an AI-shaped shortcut. And on the surface, who wouldn't want that? Faster processes, leaner teams, fewer late nights. But is AI actually helping us grow, or is it quietly helping us fail a little faster?

AI is, without question, brilliant at efficiency. It can take a repetitive task and reduce by hours. It can process, summarise, and organise at a speed no human team could match. That's real, tangible value, and I’m not disputing it.

But efficiency and innovation are not the same thing, and it's easy to mistake one for the other when you're under pressure to do more with less, let’s be honest we have all been there.

An AI agent, broadly speaking, is doing surface learning. It knows what it's been fed. It can only work with what's already there: your existing strategies, your existing data, your existing way of doing things. What it can't do is the deep learning that comes from actually living a job. From sitting in the room when a client or colleagues pushback catches everyone off guard. From noticing, over years, the subtle shift in what a customer really wants before they've said it, more commonly known in the industry as ‘gut instinct’.

In fashion buying specifically, so much of great buying comes down to this ‘gut instinct’: that feeling a buyer gets when a fabric, a colour, a silhouette is simply going to land, long before the data backs it up. That instinct is built from years on the shop floor, in rangerooms, watching trends rise and fall in real time, listening and learning from customers. It's not something that can be taught from a spreadsheet, and it certainly isn't something that can be learned from a dataset. It has to be experienced first hand.

So when we lean on AI to replace that experience rather than support it, what are we actually losing?

As more roles are handed over to AI functionality, we're not just losing headcount. We're losing the years of accumulated expertise that used to sit inside a business, carried by the people who worked in it.

Think about your own succession planning. Entry-level roles have always been where future leaders cut their teeth: learning the ropes, making the small mistakes that teach the big lessons, absorbing how things really get done rather than how they maybe should be done. If those roles quietly become extinct, where does your next generation of decision-makers come from? You can't fast-track experience, and you certainly can't fast-track gut instinct. It has to be earnt, you have to literally do the work.

And it's not just skills we risk losing. It's identity. Company culture, tone of voice, that hard-to-define DNA that makes your brand yours rather than a competitor's, all of that is built by people, through years of small human decisions. Is that something AI can genuinely hold onto, or is it something we're quietly eroding without quite noticing? We have to be honest here, what do we really want to achieve through AI?

Another potential issue with AI,  is that by its very nature, AI tends to look at the strategies and patterns already sitting within a business. It optimises what exists. It doesn't dream up what doesn't exist.

And that matters more than it might seem, because the world we're operating in isn't standing still. We're already living with the realities of climate change and its impact on supply chains. We're watching regulation and legislation shift, often faster than businesses can keep pace with. Consumer expectations are evolving too, and people want different things from brands than they did even five years ago. Brands are even competing with their own pre-loved products on competitor sites.

If we lean on AI purely to run business as usual, just a leaner, faster version of what we've always done, are we really moving forward? Or are we simply getting more efficient at standing still or maybe worse still are we failing faster?

It's a very human response, particularly under pressure, to revert to what we already know. AI can make that reversion feel productive, because it's fast and it's tidy. But fast and tidy isn't the same as forward-thinking. If we pour all our resource into efficiency and none into genuinely exploring new revenue streams, new channels, new ways of meeting a changing world, that's not innovation. That's just doing the same thing, quicker.

I don't think this is a straightforward yes-or-no answer, and it wouldn't be honest to pretend it is. AI genuinely does help businesses: freeing up time, reducing costly errors, letting teams focus on higher-value work instead of admin. Used well, alongside real investment in people and new thinking, it can absolutely be part of a sustainable future.

But used instead of that investment, as a substitute for experience, for gut instinct, for succession planning, for genuine innovation, it risks becoming something else entirely. A way of making "business as usual" feel comfortable, right up until the world moves on without you.

In my opinion the businesses that come out ahead won't be the ones that used AI the most. They'll be the ones that used it well: freeing up budget and time, and then deliberately reinvesting both into innovation. That might mean innovative tools, and some of those may well be AI-enabled too, but it also has to mean genuinely thinking outside the box about where the business goes next.

That's the real call to action here. We need more investment in innovative enterprises and innovative tools, not instead of AI, but alongside it. It's about future-proofing the business: opening ourselves up to additional revenue streams and mitigating the issues we might not even be able to see yet, but that are almost certainly coming down the line, whether that's shifting regulation, climate impact, or changing consumer expectations or needs.

That means building teams and businesses that are resilient for the long term, not just efficient for the next two or three years. Short-term thinking will only get us so far. The businesses that last will be the ones planning properly for the future, starting now.

So, before you lean further into AI-driven efficiency, it’s worth asking what you're doing with the time and budget it frees up. Because if the answer is "more of the same," that efficiency might be costing you more than it's saving.

Did I mention we have an innovative AI enabled platform called Ask Miranda that is ready to pilot? So if you have freed up some of that budget and are ready to future proof your business we should have a chat because this is truly innovative built from lived experience and maybe a little gut instinct too…………..