By Jakob Lagander, CEO of 3stepIT
For three decades, we have had a front-row seat to technology's journey from the back office to the core of every business. What began as a tool has become the platform on which modern organizations run.
During that time, one conviction has shaped our thinking above all others: technology is not a one-off transaction. It is a lifecycle investment.
The industry largely treats procurement, financing, management, replacement, and disposal in isolation. Each phase is optimized on its own terms. But value is not created in those moments. It is created in the connections between them. And so is risk.
At 3stepIT, we understood early on that the opportunity was to connect the dots across the full arc of how technology is acquired, used, secured, and retired, viewing it as a single system. We empower organizations to manage that system proactively, rather than having to deal with its unplanned consequences.
Of course, every business is different. Priorities vary; operating models differ, and no two technology estates are alike. But the principle is universal: when you manage technology as a lifecycle, you unlock value that the transactional model was never designed to see.
That is the shift defining the next era. And the one we have spent a third of a century preparing for.
Understanding technology impact
Technology has become critical business infrastructure. An organization’s ability to scale, compete, attract talent, and remain resilient, productive, and competitive increasingly depends on digital capability.
It would be natural to point to cyber threats, rising costs, or regulation as the biggest risks.
They are all very real, but in many cases, they are symptoms of a deeper issue.
The more fundamental challenge is how technology is managed.
Most organizations still treat it as a one-off purchase, even though its risk, cost, and value develop over its entire lifecycle.
Our new global research report reveals that too many companies still treat tech as basic workplace equipment, investing in it the same way they would buy a table or chair. But furniture doesn’t carry sensitive data, go home with employees, or drain energy from the local electricity grid. In fact, no other business asset creates the far-reaching impact that technology does.
And yet, many investment decisions in tech are still made without fully considering the work technology underpins, the risks it carries, its lifecycle costs, or the value retained at end-of-life.
Although 82% of organizations say technology is the leading driver of business value, alongside their people, just 16% strongly agree there’s a link between their strategic plans and their technology procurement. Fewer than one in ten prioritize efficiency or user experience as business-critical criteria when making tech investment decisions, and less than half rate data protection as a high priority.
We call this the “impact gap,” and it matters because the true cost of technology is not the price of ownership; it is the price of impact over time.
A demanding investment context
This is an essential shift as organizations are now making technology decisions in a much more demanding environment. Technology is becoming more expensive, more strategic, and much more sensitive to insecurity and disruption.
Gartner expects worldwide spending to reach around US$6.15 trillion in 2026, up almost 11% year on year. Much of this growth is being driven by AI investment, as organizations move quickly to deploy new systems, infrastructure, and compute capacity.
But many are struggling to turn this investment into measurable business value. While 83% of CEOs are increasing investment in AI, 59% of AI initiatives fail to reach production. This shows businesses are investing faster than many can grow expertise, govern, operationalize, or scale effectively.
While AI is already deeply embedded, other rapidly emerging technologies are irreversibly changing the tech landscape. Quantum computing is shifting from a long-term concept to an active discussion about investment and security. Governments and security agencies are already preparing for a future where existing encryption standards may no longer be sufficient.
Last year, the UK’s National Cyber Security Center warned that quantum computers could eventually break some of the encryption systems protecting banks and critical infrastructure, with code that would take traditional computers millions of years to solve potentially being solved in hours.
A lifecycle view
This changes the way organizations must think about technology lifecycle management.
Both AI and quantum raise the risk of treating technology as a collection of single-use operational tools rather than as strategic infrastructure with lifecycle costs, risks, and value. As development accelerates, it naturally shortens the lifetime of technology assets because performance, power efficiency, and workload requirements change so quickly.
Poor lifecycle decisions also carry a much higher operational and financial cost than before. Take data centers as an example: Global data center electricity consumption reached around 1.5% of global electricity demand in 2025, and this is expected to double by 2030, with implications for local communities, regulatory requirements, ways of working, the economy, and the environment that all need to be understood and evaluated at the point of investment.
And yet, today, organizations lack a decision-making model that enables them to do this consistently.
Putting the economy back in the circular economy
This also connects directly to circularity.
Technology rarely loses its full value after the first use. If managed correctly, assets can be redeployed, refurbished, and returned to the market. This protects value, but it also reduces risk, particularly around data security, compliance, and uncontrolled asset disposal.
Circularity, in this sense, depends on the same fundamentals as effective lifecycle management: visibility and control. Without it, organizations not only lose value, but they also increase exposure.
In practice, circularity is not a separate objective. It is a natural outcome of managing technology responsibly over its lifecycle.
Resilient technology decisions
In this environment, resilience becomes a competitive advantage. And resilience can only start with visibility and control across the full technology lifecycle.
At 3stepIT, we have over three decades of experience in managing this lifecycle for our customers. This has given us unrivalled insight into where technology risks build, and where value can be lost or recovered.
Our new Total Cost of Impact model is built on that lifecycle view.
It’s designed to help organizations make more resilient, lifecycle-based investment decisions from procurement to retirement. TCI helps organizations evaluate the full cost, risk, and value of technology investment decisions before any commitments are made by looking at four impact areas: financial, operational, security and compliance, and environmental and social.
By making this standard at the point of investment, TCI surfaces the trade-offs and downstream consequences that conventional procurement models routinely leave invisible. This is important because while an unmanaged lifecycle leaves organizations in debt, a proactively managed lifecycle puts an organization in credit by preserving value, reducing risk, improving efficiency, and extending the useful life of technology assets.
The organizations that succeed over the next decade will not necessarily be the ones that spend the most on technology. They will be the ones who manage technology most effectively over time.
