AI is changing where the work happens. The real challenge is ensuring that the expertise moves with it.
Brand leadership / Artificial intelligence / October 2026
Should AI live
inside the brand?
AI is changing where the work happens. The real challenge is ensuring that expertise moves with it.
The work is moving.
What about the expertise?
Over the past few years, I’ve been exploring artificial intelligence in considerable depth. Not simply what it can produce, but what it changes about how we research, develop, manage and build brands.
What interests me most is the changing relationship between brand owners, marketing departments, advertising agencies and specialist consultancies.
I’ve worked inside international agency networks and consultancies, and as an entrepreneur directly responsible for building and managing brands with clients. I know the strengths of both sides: the specialist talent, the fresh perspective, the creative craft — and the frustrations of briefs travelling through layers of interpretation, presentations, revisions and approvals.
AI is beginning to alter that balance. A brand team can now explore research, positioning, product messaging, campaign concepts and execution in ways that once required a succession of external briefs. The work can move closer to the people who know the business, the product and the customer.
That is a substantial opportunity. But it comes with a complication.
When the capability moves closer to the client, the responsibility moves with it.
The tools may reduce dependence on external production for every first draft or adaptation. They do not automatically supply the experience needed to judge the result. And a marketing department that suddenly has more production capacity may find itself carrying more strategic, creative and technical responsibility than it was built to absorb.
From sequential handovers
to connected expertise.
Illustrative models. Real organisations combine internal and external capabilities in different ways; the shift is not universal or one-directional.
More efficient production.
More effective branding?
AI can make brand production faster and less costly. It can help teams investigate more directions, develop working prototypes, adapt material across markets and respond more quickly to new information.
But speed and volume are not the same as effectiveness. Ten plausible campaign routes are not necessarily better than one distinctive idea. A hundred polished product descriptions can be less valuable than a few messages that give customers a compelling reason to choose.
There is a real risk of confusing the efficiency of producing brand communications with the effectiveness of building a brand.
That distinction becomes particularly important in complex B2B markets. Consider a manufacturer describing the efficiency of an industrial drive. Energy efficiency, operational productivity, uptime and lifecycle economics may all matter — but they are not interchangeable claims. Which matters most depends on the product evidence, the customer, the application and the commercial context.
AI can help examine those possibilities. Yet a fluent sentence can still be technically misleading or strategically wrong. Somebody has to recognise the difference.
Proximity is an advantage.
Isolation is not.
Keeping AI capability close to the business can bring access to product knowledge, customer insight, approved claims and proprietary information. It can also shorten the distance between a question, a decision and an execution.
That does not mean every organisation should build its own AI technology or bring every specialist onto the payroll. Nor does being in-house automatically make the work more secure, more original or more strategically sound.
External agencies and consultancies continue to offer something important: independent challenge, specialised craft, cultural perspective and the ability to see beyond the organisation’s habits. Those contributions can become more valuable, not less, as routine production becomes easier.
The more interesting possibility is a fluid model in which internal knowledge, external expertise and AI work together much more directly. Not a choice between people and technology, or between agencies and clients, but a better balance of capabilities around the decisions that matter.
The conductor
and the orchestra.
I often think of brand leadership in terms of an orchestra. Exceptional musicians can play every note correctly. But a great performance requires interpretation, timing, balance and an understanding of the composition as a whole.
The conductor brings those elements together. Brand building is much the same. AI can help develop and execute the individual parts; experienced judgement determines how they work together and what deserves emphasis.
Technology can help us play the notes. Experience helps us interpret the music.
This is not an argument that expertise belongs exclusively to senior people or to one kind of organisation. It is an argument for recognising the value of deep brand experience and making it available where the decisions are being made.
Human expertise. AI capability.
One brand direction.
An illustrative collaborative model, not a proprietary software platform. The point is to connect expertise with existing teams and tools, not replace them.
When everything looks good,
what makes a brand different?
AI can generate work that looks finished before the thinking is finished. The language is polished. The imagery is convincing. The tone appears consistent. Yet the brand can slowly lose its distinctiveness through hundreds of individually acceptable decisions.
That is a subtler form of brand drift than an obviously poor campaign. It can happen precisely because the output looks professional.
As competent production becomes easier, the ability to recognise what is original, relevant, true and worth pursuing becomes more important. So does the confidence to reject material that is perfectly serviceable but adds nothing to the brand.
The answer is not more layers of approval. It is better-informed judgement, closer to the work, with clear responsibility for the brand’s long-term direction.
Clarity is capital.
Brand leaders are not paid to produce the greatest quantity of communications. They are responsible for helping a business become understood, remembered and chosen — and for ensuring that what it promises is supported by what it delivers.
Clearer, more distinctive and more relevant brand decisions can strengthen customer preference and support commercial performance. They do not guarantee growth on their own; product quality, availability, price and experience still matter. But without a coherent reason to choose, even highly efficient marketing can become expensive noise.
So should AI live inside the brand?
For some organisations, bringing more capability in-house will make sense. Others will work best with external partners or a combination of both. The important question is not simply where the technology sits, but whether the right people, knowledge and judgement are close enough to shape what it produces.
AI is changing where the work happens. The real challenge is ensuring that expertise moves with it.
Because producing more is one thing. Building a brand that means more is quite another.
