Introduction
At Gtemas, we have spent years working alongside businesses navigating the shifts that technology brings. We have seen the waves of Web, Mobile, Cloud, SaaS, and Blockchain each reshape the industry in their own way. But what we are witnessing now with AI - particularly through the second half of 2025 and into 2026 - is fundamentally different. This is not a new tool to add to the stack. This is a shift in how work itself gets done.
This article reflects our observations from working closely with IT teams and business leaders, and our view on what this means for organizations that want to stay ahead.
What Is Actually Changing
The IT industry is in the middle of a transition that most organizations have not yet fully processed. Development teams still write code. QA teams still run tests. But the proportion of time spent on execution is shrinking, and the work that matters most is shifting toward understanding the product, understanding the business, and governing what AI produces rather than producing everything from scratch.
This is not a future scenario. Companies are already restructuring roles and hiring profiles around this reality today.
From an operational standpoint, the impact is significant: a team that previously required 8 to 10 people to deliver a product can now operate effectively with 2 to 3, without sacrificing output quality. This is not because people are being eliminated - it is because each individual's capacity has expanded considerably with AI support. For business leaders evaluating team structure and investment, this represents the most meaningful shift in IT operations we have seen.
What This Means for Your Business
For organizations currently relying on a growing list of software subscriptions and third-party tools, the calculus is beginning to change. With the right team and AI capabilities in place, building proprietary solutions in-house is becoming a more viable and cost-effective option than it has ever been.
This creates a real opportunity - but it also raises the bar for the people inside your organization. The T-shaped skill model that has defined IT talent for the past decade - deep expertise in one area, broad awareness of others - is evolving into something closer to a V-shape. Your teams still need domain depth, but they also need to be wide enough to understand, coordinate, and govern across multiple parts of a product simultaneously.
Organizations that recognize this shift early and invest in developing that kind of talent will have a meaningful advantage over those that do not.
AI Will Not Eliminate Roles - But It Will Differentiate Teams
Roles such as Business Analyst, Project Manager, QA, Designer, DevOps, and Developer are not disappearing. However, the boundaries between them are becoming less rigid. Teams that adapt will find they can do more with less. Teams that do not will find their competitive position narrowing over time.
Deep specialization still holds value - but only when it can be systematized and paired effectively with AI. Experience alone is no longer sufficient. The professionals who will contribute most are those who can identify where AI output falls short, ask the right questions to course-correct, and make sound judgments about what is usable and what needs rework. That capacity for critical evaluation is something AI cannot replicate.
Where Investment Should Be Directed Now
For business leaders planning ahead, the skills and capabilities worth developing within your teams right now are the following.
- Deeper product and business understanding. As AI handles more of the execution, the ability to define what should be built and why becomes the critical input. Teams that understand the business deeply will direct AI far more effectively than those focused purely on technical output.
- Systems thinking. The ability to see how components connect - across product, process, and technology - is what separates teams that use AI well from those that use it narrowly.
- Effective AI collaboration. This means knowing how to frame problems clearly, evaluate outputs critically, and iterate efficiently. It is a skill that compounds over time and separates high-performing teams from average ones.
- Strong review and governance capability. As AI generates more output faster, the bottleneck shifts to human judgment. Investing in review skills and quality standards is now a direct investment in output quality.
- Foundational knowledge. Teams with strong fundamentals in software development, architecture, and business logic are significantly better positioned to leverage AI than those without. That foundation is what allows people to catch errors, spot gaps, and push AI further.
The Broader Picture
Work in IT does not disappear with AI - it moves. Like capital in a market, it flows toward those who are positioned to capture it. The organizations and individuals who adapt will find themselves taking on work and opportunities that previously required far larger teams or budgets. Those who do not will see that work flow elsewhere.
The question for business leaders is not whether AI will change your IT operations. It already is. The more important question is whether your organization is moving fast enough to be on the right side of that shift.
Where Gtemas Can Help
The transition underway is significant, but it is also early. No organization is so far ahead that others cannot close the gap - but the window for doing so with limited disruption is narrowing.
At Gtemas, we work with business leaders to assess where their teams stand today, identify the gaps that matter most, and build a practical path forward. Whether that means restructuring team capabilities, introducing AI into existing workflows, or rethinking how products are built and governed, we bring the experience and perspective to help organizations move with confidence.
If this resonates with what your business is navigating, we would welcome the conversation.