Published on: October 14, 2026
Every business insists it’s ready for change. Few actually are, and the gap rarely comes down to technology. Tim Armstrong, Director at Mangrove Digital, has spent his career testing that gap, rebuilding the data and martech behind a radio network reaching a third of Australia’s population, while preserving the loyalty that built it. Today, he advises businesses across healthcare, retail, sport and entertainment on the same challenge.
In this exclusive conversation, he explains why AI can sometimes become a convenient explanation for decisions that were never really about technology, why legacy media needs to rethink how it protects established revenue, and why audiences often say one thing and do another.
You’ve led a data and martech overhaul behind a radio network reaching a third of Australia’s population, without losing the loyalty that built it. What’s the real difference between a legacy business that’s ready for that kind of change and one that just says it is?
The real difference isn’t the technology or the process. It’s how seriously a business takes change management, specifically the people side of it. Any business can buy the same platforms and write the same plan. What separates the ones that pull it off is understanding that a business is just a collection of individuals, each with different needs, motivations and comfort levels, and being willing to do the harder work of managing that.
A business that’s ready takes the time to understand what people and teams need, ties that to where the transformation is heading, and can honestly answer “what’s in this for me?” for each of them. A business that just says it’s ready skips that step. It rolls out new tools and processes and assumes people will fall in line because the plan makes sense on paper.
The other thing a ready business accepts: not everyone comes along. There’s a lot of talk about “bringing people on the journey.” That’s true, but some people won’t, and that’s a people management issue to deal with directly, not hope away.
“Businesses that only pay lip service to change management are the ones that get blindsided by that, because they never planned for it.”
The ones that are ready build it into the plan from the start.
You’ve said AI is becoming a convenient excuse for bad leadership, used to justify decisions that were really about cutting costs. What’s a decision you’ve watched a business make in the name of AI that had little to do with the technology itself?
It’s complicated, because this isn’t just about our own business: it stretches into the market we operate in and the wider economy. What we’ve seen over the last few years are cycles that keep reinforcing the same message: do more with less. That sounds like a simple cost play, but there’s a lot more going on underneath it.
Across many markets, one trend has become impossible to ignore: redundancies. First it was cutting team sizes and shifting budgets to offshore resourcing, with mixed results. More recently, AI has become the catalyst.
Every business is on its own AI journey, but a few patterns have shown up repeatedly over the last 12 months:
At the end of the day, “AI should be a tool for solving business problems, not a strategy in itself.”
Every legacy media business is effectively funding its future from the revenue its past still generates. What’s the worst version of that trade-off you’ve seen a business get wrong?
There’s been a real shift in how businesses operate since COVID and the string of disruptions that followed. Under growing financial pressure, many have moved to a more reactive operating model, dealing with things as they happen rather than planning further ahead. For media businesses, that means those with traditional channels like TV and radio often default to protecting the core.
“From a P&L perspective that’s rational: those channels still generate the bulk of revenue, especially in radio, and the cost of running them is more predictable, which keeps margins healthier.”
Where businesses get this wrong isn’t usually a bad decision; it’s a missed opportunity created by where their focus goes instead. Australia is a good example when it comes to radio’s digital transformation; there’s still a real mismatch between how revenue is split and how people are actually listening, linear versus digital. In its current state, a business’s digital revenue can be disproportionate to its digital listening, in some cases as little as half of what its share of digital listening would suggest.
For a lot of businesses, the missed opportunity has been defending the core instead of chasing the growing digital opportunity sitting right next to it. That’s a fairly risk-averse position, and it reflects the economic climate as much as anything else.
Your approach to transformation seems to have been more about adding new capability without unsettling what was already working. When is “slow down” actually the right advice to a board under pressure to move fast, and how do you make that argument stick?
It depends. Any transformation has a lot at play, not just technology, process and people, but external factors too: the economy and, as we’ve all seen in different ways, a growing number of global events.
We’re clear on the intent to transform, but change management with people is always the hardest part, and the market or economy has a bearing on pace as well. That’s what makes the question of how fast to go such a real one.
The way to manage it is through depth of understanding: knowing where we want to be, where we are today, and what needs to happen to close that gap.
‘Transformation’ has become an overused word, and honestly it isn’t always the right one to use.”
Speed comes down to how ready the business is to embrace change, and with people, that’s tricky; everyone moves at a different pace. That means your transformation objectives need to be clear, built around staggered milestones on the way to the end goal, and structured so the business can see value consistently along the way.
That structure is also what helps you manage the board. They’ll always want quick results, so how you structure the project, and how you bring them on the journey, is critical.
You’ve gone from running one media business to advising several across healthcare, retail, sport and entertainment. What’s one audience behaviour you see repeating across genuinely unrelated industries that marketers still tend to treat as unique to their own category?
It is a good question. For a long time, uniqueness has been the assumption businesses build their whole competitive story on. But let’s flip it: are individuals unique in lots of ways? Yes, obviously. The behaviour I keep seeing repeat, though, whether it’s healthcare, retail, sport or entertainment, is the gap between what people say they want and what they actually do.
Every industry defaults to what it thinks it knows about its audience, rather than what the data actually shows. You need some assumptions to build a picture of your audience. But the gap shows up everywhere. Ask people if they like ads in video content, and they’ll say no. Look at the consumption data, and you’ll see two things: they’re watching the ads anyway, and they’ll tolerate them in exchange for access to the content they want. The same pattern turns up in healthcare, where people say they want to be healthier and their behaviour says otherwise; in retail, where people say price matters most and then buy on convenience or brand; and in sport and entertainment, where people say they’re loyal to a code or a team and then their attention moves with whoever’s winning or easiest to access.
“Marketers in each of those categories treat it as their own unique quirk. It isn’t.”
The businesses that win long term are the ones that measure what their audience actually does, not what they say, and adjust as that behaviour shifts, because it will.
You’ve said you’d rather hire for curiosity and problem-solving than platform proficiency, because the tools change faster than people can be trained on them. What’s a quality that never shows up on a resume but ends up mattering more than any hard skill, and why can’t a tool teach it?
Earlier in my career, I made a hire or two who looked great on paper, but once they were in a living, breathing business, it quickly became clear they weren’t the right fit. As a leader or manager, your commitment to your team is to bring in people who not only match the skill set you need, but also complement the rest of the team.
Those early missteps shaped how I hire today, especially given how fast technology is moving, faster than most of us can really keep up with. When it comes to hiring, I look at candidates through two lenses. Hiring is more complex than just this, but these two matter most: hard skills and soft skills. Both matter, but soft skills are what connect the hard skills, the expertise, to the business.
In a world with endless pulls on our attention, some things haven’t changed. Communication, relationship building, problem-solving, logic – these are still the soft skills that matter most. Beyond that, there’s attitude, and in my mind that’s make-or-break. Someone with the wrong attitude is hard to harness or hard to change, and if it isn’t managed well, it can undermine and disrupt the whole team – in some cases, the business.
“Hard skills can be taught. Good soft skills are what make someone able to learn them. In a world increasingly run by AI, human soft skills will be the real superpower.”
