Let me walk through a number that most SME founders know instinctively but rarely sit down and calculate properly.

What does it actually cost to have a functioning marketing capability in your business?

Not a full department — most SMEs can't afford that. Just the basics. Someone to manage your content and social presence. Someone to handle lead generation and follow-up. The tools they need to do the work. And the management overhead that comes with having people.

In New Zealand, a marketing coordinator costs somewhere between $55,000 and $75,000 in salary. Add KiwiSaver, ACC, leave entitlements, and you're north of $65,000 to $85,000 in total employment cost. A part-time sales development person — someone who qualifies leads and books meetings — adds another $40,000 to $60,000.

Then there's tooling. Your marketing automation platform, your CRM, your social scheduling tool, your analytics. Conservatively, $15,000 to $25,000 per year for a small team.

Now add the costs that don't show up on a line item. Recruitment — finding the right person takes time and money, and getting it wrong costs more. Management — someone has to set direction, review work, and handle the inevitable gaps in coverage when people are sick, on leave, or between roles. Ramp time — a new hire takes three to six months to become fully productive.

Add it all up, and a basic marketing function — one coordinator and a part-time SDR — costs a business somewhere between $120,000 and $160,000 per year. For output that is, in most cases, modest. Not because the people aren't capable, but because two people can only do so much, and a significant chunk of their time goes to operating tools rather than thinking strategically.

This is the economic reality that has shaped how SMEs approach marketing for the past decade. You either commit the budget and accept the risk, or you do without — posting on LinkedIn when you remember, running the occasional campaign, hoping word-of-mouth carries you through.

Most founders choose the second option. Not because they don't value marketing, but because the numbers don't make sense relative to the output they can expect.

That calculation is changing.

Not because people have become cheaper. They haven't. And not because the tools have become dramatically better — the core platforms have been mature for years.

What's changed is that AI can now do a substantial portion of the cognitive work that marketing people spend their time on. The research. The first drafts. The analysis of what's working and what isn't. The personalisation. The coordination between channels. The follow-up sequences. The reporting.

I want to be precise about what I mean here, because this is where the conversation usually goes sideways.

I am not saying AI replaces marketers. I'm saying AI changes the economics of what one person — or a very small team — can produce. A marketing coordinator augmented by well-designed AI systems doesn't produce 10% more output. They produce several multiples more. Because the AI handles the volume work, and the human focuses on the strategy, the brand judgement, the relationship management, and the quality control.

The comparison that matters isn't "AI tool versus marketing platform." It's "what would I pay for the output of a marketing function?" When you frame it that way, the economics shift fundamentally.

If you can get the functional output of a two or three person marketing team — content production, lead generation, prospect engagement, reporting — for a fraction of the headcount cost, the calculation changes for every SME that previously couldn't justify the investment.

This isn't a speculative argument. The capabilities exist today. They're not perfect — they require thoughtful configuration, human oversight, and genuine understanding of the business they're serving. But they're good enough that the economic comparison is already unfavourable for the traditional model.

There's a second-order effect worth noting. The cost advantage isn't just about money. It's about consistency and coverage.

A person takes leave. Gets sick. Resigns. Has a bad week. These are normal, human realities — but for a two-person marketing function, they represent significant disruption. AI systems don't have bad weeks. They don't take leave. They produce at a consistent level, day after day, as long as the governance and oversight are in place.

That doesn't make the human contribution less valuable. It makes it differently valuable. The human's role shifts from producing the work to directing and evaluating the work. Which, if you think about it, is a much better use of an experienced marketer's time than writing the fourteenth LinkedIn post of the month.

The broader implication is this: business functions that were previously out of reach for SMEs — because the headcount cost didn't justify the output — are becoming viable. Not through cheaper labour or cheaper tools, but through a genuinely different model where intelligent systems handle execution and humans handle judgement.

Marketing is the obvious first example, because the work is visible and the output is measurable. But the same logic applies to customer support, sales development, finance operations, and any other function where the bulk of the work is operational and cognitive.

The $120,000 question isn't really about marketing. It's about every function in your business where you've been making do with less than you need, because the economics didn't work.

Those economics are shifting. It's worth running the numbers again.