Artificial intelligence has advanced significantly: with improved memory, faster processes, easier access to video generation, and overall smarter systems. Other areas are also bringing fresh momentum to the tech world. Here are our predictions for the new year.
The past year has been marked by continuous and significant progress in technology. Artificial intelligence has made great strides: with enhanced memory, faster processes, easier access to video generation, and overall smarter systems. Other areas such as autonomous driving, virtual reality, brain-computer interfaces, and quantum computing have also made major advances, sparking fresh enthusiasm in the tech world. In this post, you’ll find 10 predictions about how technology will continue to evolve in 2025:
Google will become a leader in photorealistic image and video generation, supported by the massive datasets from Google Images and YouTube. Furthermore, AI-generated videos will be indistinguishable from real videos, much like today’s AI-generated images. There may even be the first fully AI-generated feature film in 2025. The sad flip side: deepfakes of images and videos will become so realistic that they will be almost impossible to detect.
AI telephony will become mainstream: Artificial intelligence that takes over phone support, speaks with customers and guests on the phone, provides information, and takes reservations will be used in all industries this year. Voice AI is developing at a rapid pace, and soon it will no longer be possible to distinguish human employees from AI assistants on the phone.
AI agents are the next big thing in the field of artificial intelligence. The main goal is to enable AI to reliably execute complex, multi-step workflows in a digital environment—beyond simple conversations. In short, the technology is moving from mere information processing to active action. Imagine that all web interactions are handled by an AI agent. It’s likely that chatbots themselves will become agentic systems, taking on far more complex tasks for employees, as they can be controlled using natural language and seamlessly integrate with existing software tools and platforms.
In 2025, AI applications will become increasingly specialized and improved, and many companies will understand how to effectively leverage generative AI. Experiments with AI have been underway since 2022—the key to success lies in finding the right use cases.
AI will increasingly be used in its own development, marking the beginning of a smaller form of recursive self-improvement. However, a fully autonomous AI development, in which AI independently evolves, will not yet be possible in 2025 without human intervention.
AI models will achieve significantly larger token limits, extending well beyond ten million. The best models will possess virtually unlimited memory (e.g., hundreds of millions of tokens with a retrieval accuracy of 99.9%). As a result, companies will use AI models for tasks requiring extensive history or very complex data sets, such as legal documentation, large technical manuals, or long-term customer interactions. Organizations could integrate large internal databases, CRM systems, or projects directly into a model’s context, without relying on separate queries or fragmented data approaches.
Autonomous driving will surpass human capabilities. Autonomous vehicles can optimize traffic flows and eliminate human error sources through algorithms, sensors, and networking. With precise sensors, real-time data processing, and the ability to analyze millions of traffic events, they could drive more safely than humans.
A superintelligence, known as Artificial General Intelligence (AGI), will not be achieved by 2025 either. Development will take more time, even though the term AGI has been used by OpenAI as a marketing concept since 2022. AGI describes an AI that can fully replicate human thinking—not just in specific tasks (as current AI models do), but operating autonomously, flexibly, and on a human level across a broad range of abilities.
A massive anti-AI movement could emerge as the rapid development of artificial intelligence fuels fears of job loss, data privacy violations, ethical issues, and manipulation. This movement will likely lead to intense debates about the responsible handling of AI, the regulation of the technology, and its impact on society and the economy.
Innovative combinations of technologies will emerge—for example, the use of brain-computer interfaces (BCIs) in conjunction with everyday AI tools. This could be where the true technological “magic” lies. By using BCIs, thoughts and neural signals could be harnessed directly to control AI applications, without physical interfaces like keyboards or screens. This would create intuitive, fast, and barrier-free forms of use—such as mind-controlled assistants or personalized AI applications that respond to moods and needs.
These predictions should be taken with a healthy dose of skepticism—the future of AI remains full of surprises! The year 2025 not only marks another step in technological development but also a turning point in the widespread perception of artificial intelligence. Yet history shows that we humans tend to underestimate the long-term impacts of groundbreaking technologies. Similar to electrification, which did more than just provide convenience and went on to transform industries and entire societies, AI will likely surpass what we can imagine today.
AI by itself is not beneficial merely because it exists. It only realizes its potential in the right applications and environments. In the coming years, it will be crucial not only to continue developing these technologies but to deploy them in a targeted way to address the greatest challenges of our time. The rapid developments of the past two years have shown that the possibilities of generative AI and other forms are far more extensive than many initially believed.
