The Slow Pace of Change in Enterprise Technology
Enterprise technology often appears to be in a state of rapid transformation, with each new innovation hailed as a game-changer. A decade ago, cloud computing was the dominant trend, and today, generative AI is taking center stage. While these technologies have undeniably influenced enterprise IT, their adoption has been more gradual than their hype suggests. Despite the rise of cloud computing, a significant portion of enterprise IT spending—around 90%—still remains on-premises. Similarly, while generative AI is making waves, its real impact is still relatively small within the broader enterprise technology landscape.
A useful way to gauge the true pace of enterprise IT evolution is by examining how programming languages and databases gain traction. New technologies often struggle to displace entrenched systems, even when they offer clear advantages. Enterprises are built on stability and reliability, making them resistant to change unless there is a compelling reason to shift. This explains why, despite a wave of new programming languages emerging over the past decade, the industry continues to rely on stalwarts like Java, Python, JavaScript, and C#.
Java, in particular, demonstrates the persistence of enterprise technology choices. Over the years, languages such as Go, TypeScript, Dart, and F# have entered the scene, promising various improvements. However, most enterprises continue to use Java because of its extensive support ecosystem, long-standing reliability, and widespread adoption. Even when newer languages offer advantages, they face significant friction in enterprise environments where stability, existing expertise, and compatibility outweigh the appeal of innovation.
This resistance to change is a defining characteristic of enterprise IT. Once a company invests in a technology stack—whether it’s a programming language, database, or infrastructure—it becomes deeply embedded in business processes and technical ecosystems. The cost and risk of switching to something new often outweigh the potential benefits, leading to a slower, more measured approach to technology adoption. While enterprise technology does evolve, it does so at a pace dictated by practicality rather than hype.