The 2026 CIO agenda: What IT trends are CIOs really focused on? Part 5 of 8
- 12 hours ago
- 2 min read
Below are the eight IT trends that are top of mind for CIOs in 2026. While they are not necessarily new, remember that trends evolve continuously, which means their relevance increases or decreases over time. In this series, we will look at the trends one by one in greater detail. For each trend, you’ll read what it is, what it means for IT, and what the strategic implications are for the CIO role. We’ll also see what this requires in terms of leadership and organizational maturity.
The eight IT trends for 2026
AI is no longer an innovation topic; it is a governance issue
Autonomous teams without orchestration architecture create organized chaos
Platform-first strategies: complexity is IT’s largest invisible cost
Confidential computing is no longer a legal discussion; it is an architectural choice
Citizen development is inevitable; chaos is optional
Ecosystems: IT value increasingly exists outside the organization
The convergence of low-code and high-code
You cannot build a digital strategy on analog foundations
The impact of these trends varies by organization. Factors such as regulation, industry, company size, board-level digital ambition, and the current state of the core IT landscape all play a role. Let’s unpack trend number five.
5. Citizen development is inevitable; chaos is optional
AI-native development fundamentally changes how software is built. Developers increasingly guide AI agents instead of writing every line of code themselves. Importantly, non-developers can do the same. As a result, citizen development is no longer a side effect but a logical consequence of this shift.
Business teams already build applications for reporting, workflow automation and data processing, often supported by AI assistants. This increases speed and local optimization. At the same time, it raises the risk of fragmentation and quality issues.
The role of IT changes from execution to orchestration of a development ecosystem in which humans and AI collaborate. The CIO’s decision is not whether citizen development will occur, but how it will be guided.
Challenge
Warning signs include an increase in data incidents, loss of critical knowledge when individuals leave, and dependency on applications built outside the formal IT landscape. Another clear indicator is when IT becomes involved only at the point of scaling or auditing.
Well-governed citizen development can significantly accelerate the organization. Without clear architecture, governance and a redefined software development lifecycle, however, it eventually slows everything down. Chaos does not result from citizen development itself, but from the absence of deliberate choices about how humans and AI build software together.
Action
In the short to medium term, organizations must establish clear guidelines for citizen development and redefine KPIs for productivity and quality. They must also explicitly integrate AI agents into the software development lifecycle. Architecture teams can support this by enabling composable architectures, reusable services and clear governance.
The CIO becomes the orchestrator of development capacity and quality, rather than just the manager of IT teams. The business will build applications with or without IT involvement. The real choice is whether to guide that effort or clean up the consequences later.
