No Data, No AI: The Capability Gap That Will Decide Who Wins the Next Five Years

If you didn’t catch my previous post, I’ve just spent the last week at Foundry’s Edge Channel Conference in Australia, which by the way, every NZ tech partner should aim to attend if you haven’t already – it is an excellent event, experience and chance to network with your ecosystem pals and you’ll learn A LOT.

And if you are extra lucky AusAlert may again decide to roll out another national ‘emergency warning’ test during the opening keynote. A brilliant side show of 300 odd phone alerts bleeping at full volume. You’ll get to experience that ‘shit, do I run or what’ and ‘when’s the tsunami hitting’ moment of panic everyone loves to recount days later.

(to our Australian friends: you sure know how to whip up a reel on the subject – I’ve been giggling away on those all week)

Back to business however, of everything I heard across the four days, below is my synopsis on one warning for GTM teams that kept resurfacing in session after session, and it is not the AI story most partners are telling their customers. So I wanted to unpack it here, and what it means for planning in New Zealand.

What we heard at Edge

The AI and Market Trends session opened with a genuinely strong set of survey results from partners across Australia and New Zealand. Managed services, cyber, AI and business consulting are now the top four investment priorities, and the speaker called it the best top four they had seen in ten years of running this research. AI has finally cracked the top three, having sat around ninth place as recently as last year.

Then came the asterisk. As the speaker put it, partners are building AI, but they are not building data. What is actually happening under the hood is a lot of copilots and ChatGPT wrappers bolted onto whatever data happens to be lying around, because, in the phrase used twice across two separate sessions, no data, no AI.

The opening keynote puts a number on the scale of the problem: 99% of the world’s business data has never been trained or tuned into a model, and 83% of it sits cold in storage; air gapped from the network entirely. The keynote speaker’s own example was a good one. Every flight any of us have ever taken sits on a decades old mainframe system, and 95% of that kind of data never leaves cold storage. That is the same shape of problem sitting underneath most customers’ AI ambitions right now.

The Predictive IT session added the delivery side of this same story. The speaker there was blunt about it: without a unified, current and clean data layer, AI is just another bolt-on tool sitting beside the business, making recommendations nobody necessarily acts on. It is only once the data layer is genuinely connected that AI can move into the middle of the process and start functioning as a system of action rather than a suggestion box, which is where the real productivity and margin gains start to show up.

Predictions from Edge

A few things stood out to me from what was presented, for where this gap is heading over the next 12 to 18 months:

• AI-related services are forecast to grow at 35.3% compounded through to 2030, comfortably the fastest growing opportunity in the entire channel. Yet 82% of partners surveyed globally say they are not ready to grow at that rate, and the gap is not talent or ambition; it is the missing data foundation underneath the AI layer they are trying to sell.
• Data readiness and governance will move from an afterthought to a standalone line item on tech buyers’ RFPs, in much the same way integrations jumped from seventh place to first as the top purchase criterion over the last cycle, according to the opening keynote’s own research.
• Vendors and MSPs who keep leading their AI positioning with feature lists and copilot demos, rather than a credible data and governance story, will start to lose ground to competitors who can actually show a client’s data is clean, current and genuinely feeding the model. Buyers are getting better at spotting the difference between real capability and what a few speakers referred to as copilot theatre.

My advice for GTM teams

New Zealand’s talent story makes this gap more urgent, not less. The NZ Tech Ecosystem panel flagged a real and growing shortage of level two and three engineers, as entry level roles get automated away faster than new talent can be developed into them, and a recent survey found around 40% of New Zealand IT candidates reporting genuine anxiety about keeping pace with AI. If our own people are unsettled about the pace of change, it is a fair bet our customers are having the same conversation internally, and any AI marketing message that ignores it will land as tone deaf.

A few practical steps I would suggest to any GTM team here reading this:

• Audit your own AI messaging for copilot versus capability honesty. If the underlying claim is a chatbot wrapper on top of unstructured data, say so plainly and sell the value that is actually there, rather than implying agentic capability you cannot yet deliver.
• Build a data readiness assessment into the front of your sales process, not as a compliance checkbox but as a genuine land motion. Customers increasingly cannot answer basic questions about where their own data lives, and that gap is a legitimate wedge into a much bigger conversation.
• Lead with the data and governance story in your positioning, not just the AI feature list. As data readiness becomes an RFP line item, the vendors and partners with a credible answer ready will out-position the ones still leading with hype.
• Fold the people story into your AI GTM plan. A pitch that promises transformation through AI while ignoring the very real skills and confidence gap inside your customer’s own team will undercut trust before the conversation even gets to product.

The AI opportunity in front of the channel is real, and the growth numbers back this up. But MSPs who capture the 35% growth curve will be the ones who got honest about the data foundation first, not the ones with the flashiest demo. No data, no AI is not a slogan. It is fast becoming the line that separates who wins the next five years from who spends them catching up.

If you have any questions around you own Go-To-Market approach, we are always here to answer any questions you may have.

Contact Us

Reflections drawn from the AI and Market Trends, Predictive IT Strategy, and New Zealand Tech Ecosystem sessions at the Foundry Edge Channel Conference, Australia, 26 to 28 July 2026.