In the rush to adopt artificial intelligence (AI) technologies, do companies take the risk of increasing current issues from technical loans – or can AI provide a response to deal with them effectively?
This is an interesting question. Although technical debt has been a familiar challenge in the IT world for years, the question now is whether the AI can eventually help us deal with it – or if it only increases the burden.
Personally, I see both sides in this debate. AI can be a potential cause of technical loan, but it can be a cure. Much depends on how technology is deployed.
Technical debt
To withdraw a short step, the phrase ‘technical loan’ is what we use to explain this situation when time and budget barriers force developers to work on the introduction of new digital products and services, focus on shortcuts and stopgops.
This approach takes into account the obstacles imposed by the previous IT investment and existing systems, and is generally supported on a more radical refreshment, which will cost more time, cost more or both.
But although some level of technical debt is inevitable in fast moving, forward -thinking companies, it can be easily out of control if not carefully monitored. It is often a serious drain on time, energy and expertise, as IT teams struggle to monitor, manage and preserve the rapidly complex environment of IT.
AI technologies can potentially increase the technical loan burden for some organizations. In October 2024, analysts from the Market Research Company Forceter warned that more than 50 % of technology decision makers in 2025 would bring their technical loans to “moderate or high level intensity” in 2025.
But at the same time, Forestar analysts easily recognize the possibility of AI’s “enhancing human decisions, improving events and improving business results”.
Time to be automatic
Search – The process of questioning and recovering specific information from search quality or keyword -based database or datastas – when combined with AI, many manual processes associated with software development, such as code review and reflecting help organizations help automatically automatically automatically debt debt.
The issue of a reflection is the deployment of AI agents that may need to be reviewed by the old code that may need to be reviewed. Since new digital services are developed, AI can be used to identify and automatically address problems in an active approach, which maintains a technical debt.
By smooth these tasks, the AI reduces the burden on the IT teams, and enables them to focus on strategic projects rather than care. Well -used, it can create strong solutions to the software and reality the long -term costs and complications associated with the technical loan can be reduced.
I have seen myself how businesses use AI to balance modernization with security concerns. Although updating the Legacy System can introduce weaknesses, connecting AI with search capabilities, without compromising operational stability, poses a more efficient and low risk.
So yes, I agree that there will be some organizations that will see their technical loans as a result of adoption of AI – but I would like to comment that these will be organizations that do not work enough with comprehensive architectural studies that ensure that the new technology provides new technologies.
They may also be organizations that implement a number of AI solutions from several shopkeepers and then find out that they have easily increased complexity with the point solution that does not meet new demands as the emergence. The spread of AI tool will be a reality for many.
But other organizations can represent the best opportunity to fix their technical debt problems in the AI years – or at least maintain them at a manageable level. These organizations will potentially be the ones that will adopt a platform approach for AI, enhances search, observation and security capabilities using a curatic, stable set of AI technologies and tools.
Only by opening the full potential of data scattered in their IT architecture, smart organizations will be confident and competitive in adoption of AI.
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