Tech Anti-Predictions for 2025: What Won't Make a Difference in the New Year
20.01.2025
Despite the hype around advances in areas like quantum computing and AI data centers, industry trends suggest that a number of technologies won't see significant adoption or transformation in 2025, writes Christopher Tozzi, technology analyst at Fixate . IO , on ITPro Today .
Every time a new year rolls around, tech industry experts — myself included — spill a lot of ink (or generate a lot of pixels, to be more precise) about the tech trends they believe will shape the coming 12 months.
But another tactic is to predict what won't happen in technology, despite widespread belief that it will.
With that in mind, here is my list of “anti-predictions” for 2025. The following technological developments or practices may seem trendy, but I don’t think they will be important in the coming year.
For several years now, some people have austria mobile database that we are on the cusp of “Q Day,” the day when quantum computers become practical enough for real, everyday use.
The implications of this event will be profound, especially in the area of cybersecurity. Quantum computers will instantly make almost all traditional methods of ensuring security and protecting data obsolete, as they will be able to crack encryption and access keys in a matter of seconds.
Here’s the thing: Despite continued progress in quantum technology — including Google’s recent announcement of its new quantum chip — I’m not sure that Q-day is truly on the horizon. Quantum computers remain too unreliable, primarily because of limitations in quantum hardware.
Call me a quantum pessimist (or an optimist, if you're scared by the prospect of quantum-powered cybersecurity breaches, which is entirely possible), but I just don't think 2025 will be the year of quantum.
2. Rapid adoption of AI
I'm also pessimistic - or at least skeptical - about the expansion of AI adoption in business in the coming year.
This is not because I don’t think AI technology — especially generative AI — doesn’t have enormous potential to improve efficiency and productivity. Of course it does.
But I also think that at this point, the typical business has already harvested the “low-hanging fruit of AI,” so to speak. In other words, it uses AI in basic use cases, such as AI-powered customer support chatbots or AI coding. These AI use cases are easy to implement because they are not very complex from a technical standpoint. Plus, there are plenty of vendors offering ready-made AI solutions and services for these types of tasks.