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Data#3 deepens its AI pivot as the services bet pays off

Tom Mercer by Tom Mercer
November 3, 2026
in Enterprise
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Brisbane CBD at night, 2026.jpg

Photo: Chris Olszewski / Wikimedia Commons (CC BY-SA 4.0)

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For most of its four decades, Data#3 was known as a reliable mover of hardware and software licences, the kind of Brisbane technology company that kept the back offices of Australian corporates and government agencies running without ever drawing much attention to itself. That quiet reputation is now being rebuilt around something far more fashionable, and far harder to execute well: artificial intelligence.

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Roughly a year after the ASX-listed reseller (ASX: DTL) set out a deliberate shift towards AI, cloud, cyber security and managed services, the company says the strategy is moving from slogan to substance. According to industry publication ARN, Data#3 has continued to reshape its practice over the past twelve months while posting record financial results, and has used the period to tighten its relationships with two of the vendors that matter most to its future, Microsoft and Cisco.

From box-mover to outcome-seller

The context here matters, because Data#3’s challenge is one shared across the Australian channel. The traditional business of buying technology from vendors and selling it on to customers is a high-volume, thin-margin game, and it is being steadily squeezed as software moves to subscription and as customers buy cloud capacity directly. The response, which almost every large reseller has reached for, is to climb the value chain into advisory work, integration and ongoing managed services, where margins are healthier and relationships are stickier.

AI has given that well-worn transition a sharper edge. Enterprises and public-sector bodies now want help deploying tools such as Microsoft Copilot, building the data foundations that make AI useful, and locking down the security exposures that come with pointing generative models at sensitive corporate information. That is advisory and services work by nature, which suits a company trying to prove it is more than a procurement middleman.

Data#3’s financial year 2026 numbers are being offered as evidence the approach is landing. The company reported record results with gross sales rising over the year, continuing a run of growth that has made it one of the more resilient names in the local channel even as hardware demand has wobbled. The detail that strategists will watch is less the headline sales figure, which in a reseller model can be inflated by large pass-through hardware deals, and more the mix of recurring services revenue underneath it, which is the truer measure of whether a pivot of this kind is working.

The vendor question

Deepening ties with Microsoft and Cisco is the second plank of the story, and it cuts both ways. On one hand, partner status and specialised accreditations are what let a company like Data#3 win the complex AI and security engagements that carry the best margins; being a trusted deployment partner for Copilot or for Cisco’s networking and security stack is a genuine competitive moat in a crowded market. On the other hand, leaning harder on a small number of hyperscale vendors ties the company’s fortunes ever more closely to decisions made in Redmond and San Jose, including how those vendors choose to price, package and increasingly sell AI services directly to end customers.

That tension is the heart of the debate about where Australian resellers go next. Supporters of the model argue that the hyperscalers need skilled local partners to actually implement their technology inside Australian organisations, and that trusted integrators capture durable value precisely because software vendors are not set up to hold thousands of hands through a messy rollout. Sceptics counter that every year the vendors automate a little more of that work, embed a little more capability into the platform, and leave a little less oxygen for the partners sitting between them and the customer. Data#3’s bet is that deep expertise in AI and security keeps it on the right side of that line.

Why it matters for Australia

The outcome is not merely a matter for Data#3 shareholders. The company is one of the largest technology services providers headquartered in Australia, with Brisbane roots and a heavy footprint across federal and state government as well as corporate Australia. How it navigates the AI shift is, in miniature, the question facing the whole domestic channel at a moment when the country is trying to lift its sovereign technology capability rather than outsource every hard problem offshore.

There is a skills dimension too. The pivot that Data#3 and its peers are making only works if there are enough Australians who can actually design, deploy and secure AI systems, and that talent is scarce. Every managed services provider chasing the same Copilot rollouts and the same security uplift projects is competing for a thin pool of cloud architects, data engineers and cyber specialists, which pushes up wages and lengthens project timelines. For customers, especially government departments wary of being locked into a single supplier, the maturing of local players that can offer genuine advisory depth is a welcome counterweight to simply handing the keys to a global consultancy or the vendors themselves.

It also lands against a backdrop of real caution. Australian boards have grown wary of AI projects that promise transformation and deliver pilots that never scale, and procurement teams are asking harder questions about measurable return. A services partner that can point to delivered outcomes rather than proofs of concept has an advantage in that climate, and that is precisely the ground Data#3 is trying to claim.

What’s next

The test from here is durability. A single strong financial year, even a record one, does not settle whether a decades-old reseller can genuinely reinvent itself as an AI and services business, and the proof will come in whether recurring revenue keeps growing as a share of the total through FY2027 and beyond. Investors will be watching the margin trend closely, because rising sales mean little if they are won on wafer-thin hardware deals rather than higher-value engagements.

The vendors will shape the story as much as Data#3 will. If Microsoft and Cisco continue to see value in a strong Australian delivery partner, the relationships deepen and the strategy compounds. If the hyperscalers decide to sell and service more of their AI directly, the company will need its security and advisory expertise to be deep enough to stand on its own. For now, Data#3’s leadership is betting that the pivot it announced a year ago has finally grown the depth to hold.

Sources: ARN.

Tags: AI strategyBrisbaneCiscoData#3EnterpriseManaged ServicesMicrosoft
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Tom Mercer

Tom Mercer

Tom covers enterprise AI adoption, government and policy for FluentSea.

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