AI investment is forcing a harder conversation in the boardroom: which technology needs to be owned, and which technology simply needs to deliver value?
For CIOs, the priority is clear. Keep pace with AI, cyber security requirements, and a rapidly changing device landscape. For CFOs, the challenge is funding that ambition without locking too much capital into assets that may be outdated before they are fully depreciated.
That tension is changing how organisations think about technology investment, and highlighting leasing as a future-ready alternative.
Traditional CAPEX budgets were built for predictable refresh cycles and long-lived assets. Today, technology decisions are less predictable.
AI workloads may require new infrastructure. Device costs are rising. Security standards are tightening. Teams need the flexibility to scale up, shift direction, or replace assets sooner than planned.
When every upgrade competes for a limited annual CAPEX allocation, essential refreshes can be delayed. The result is often a fleet of ageing devices, increasing support costs, and greater exposure to security and productivity risks.
Delaying replacement can turn a planned technology decision into a reactive operational issue.
As AI technology advances, device fleets are at risk of becoming obsolete. Locking in an outright purchase poses unnecessary risk to your organisation, while leasing allows flexibility to upgrade when required.
CAPEX hasn't simply disappeared, however. For some long-life, stable assets, ownership remains the right decision.
But for technology that changes quickly, many leadership teams are moving towards a service-led funding mindset. The question is no longer simply, “Can we afford to buy this?”. Instead, it's “What funding model gives us the best access to the technology we need, for as long as we need it?”.
A structured leasing model can spread the cost of technology over its useful life, align payments with operational budgets, and support a more disciplined refresh cycle. It can also help organisations preserve capital for initiatives where ownership delivers a clearer strategic advantage.
AI investment is rarely a one-off purchase. It can involve devices, infrastructure, security, data capability, and ongoing change.
That makes flexibility valuable. Rather than committing all available capital to one large technology purchase, organisations can structure funding around phased deployment, expected refresh points, and changing business requirements.
This is where CIO and CFO priorities can come together. The CIO gains a clearer path to timely upgrades, and the CFO gains better visibility over cash flow, asset commitments, and lifecycle costs.
The right tailored funding solution can turn technology planning into a shared business decision rather than a negotiation between competing budgets.
Leasing should not be viewed as a way to make commitments disappear from the balance sheet. Under IFRS 16 and AASB 16, most leases are recognised as a right-of-use asset and lease liability.
The strategic benefit is better decision-making, not accounting avoidance.
Finance teams need clear visibility of lease terms, payments, modifications, and future obligations. Technology teams need confidence that funding arrangements support their operational roadmap. A centralised lease accounting and asset-management platform such as LOIS Leasing can help bring those requirements together.
The most effective technology funding models are not purely CAPEX or purely OPEX. They're built around the asset, its expected rate of change, and the organisation’s broader capital priorities.
For CIOs and CFOs, the opportunity is to stop treating funding as the final hurdle in a technology project. It should be part of the strategy from the start. Talk to our expert team today to learn how leasing can form part of your organisation's strategy.