Top AI trends in 2025

Artificial Intelligence (AI) continues to develop further in 2025 and has an increasingly large impact on our daily lives and business. The main trends in AI show how this technology is reaching new heights. Here we discuss some core developments that will shape the future of AI.

1. Agentic AI: Autonomous and Decisive AI

Agentic AI refers to systems capable of making autonomous decisions within predefined boundaries. In 2025, AI systems are becoming increasingly autonomous, with applications in, for example, autonomous vehicles, supply chain management and even healthcare. These AI agents are not only reactive but also proactive, relieving human teams and increasing efficiency.

2. Inference-Time Compute: Optimizing Real-Time Decisions

With the growth of AI applications in real-time environments such as speech recognition and augmented reality, inference-time compute becomes a crucial factor. In 2025, much attention is paid to hardware and software optimizations to make AI models faster and more energy-efficient. Think of specialized chips such as tensor processing units (TPUs) and neuromorphic hardware that support inference with minimal latency.

3. Very Large Models: The Next Generation of AI

Since the introduction of models like GPT-4 and GPT-5, very large models continue to grow in size and complexity. In 2025, these models are not only larger but also optimized for specific tasks, such as legal analysis, medical diagnostics and scientific research. These hyper-complex models deliver unprecedented accuracy and contextual understanding, but also pose challenges in terms of infrastructure and ethics.

4. Very Small Models: AI for Edge Devices

On the other end of the spectrum we see a trend of very small models that are specifically designed for edge computing. These models are used in IoT devices, such as smart thermostats and wearable health devices. Thanks to techniques like model pruning and quantization, these small AI systems are efficient, secure and accessible for a wide range of applications.

5. Advanced Use Cases: AI 

AI applications in 2025 go beyond traditional domains such as image and speech recognition. Think of AI that supports creative processes, such as designing fashion, architecture and even composing music. In addition, we see breakthroughs in domains such as quantum chemistry, where AI helps discover new materials and medicines. But also in the management of entire IT systems, software development and cybersecurity.

6. Almost Infinite Memory: AI Without Limits

Through the integration of cloud technology and advanced data management systems, AI systems have access to what almost feels like infinite memory. This makes it possible to retain long-term context, essential for applications such as personalized virtual assistants and complex customer service systems. This capability enables AI to provide consistent and context-aware experiences over extended periods. In fact, the AI remembers all the conversations it has ever had with you. The question is whether you want that, of course, so there must also be an option to reset parts or the whole.

7. Human-in-the-Loop Augmentation: Collaborating with AI

Although AI is becoming increasingly autonomous, the human factor remains important. Human-in-the-loop augmentation ensures that AI systems are more accurate and reliable by including human supervision in critical stages of decision-making. This is especially important in sectors such as aviation, healthcare and finance, where human experience and judgment remain crucial. Strangely, trials with diagnoses by 50 doctors show that an AI performs better and even that doctors perform better only when assisted by an AI. So we must especially learn to ask the right questions.

7. Reasoning AI

With the arrival of O1, OpenAI took the first step toward a reasoning LLM. This step was soon overtaken by O3. But competition also comes from an unexpected corner in the form of Deepseek R1. An open-source reasoning and reinforcement learning model that is many times cheaper than the American competitors, both in terms of energy use and hardware requirements. Because this had a direct impact on the stock value of all AI-related companies, the tone was set for 2025.

How Fortis AI can help with this topic

Fortis AI has a proven track record in implementing digital innovations that transform business processes. With our extensive experience in IT services and solutions, including managed IT services, IT security, cloud infrastructure and digital transformation, we are well equipped to support organizations with their AI initiatives.

Our approach includes:

• Consultancy and Strategy Development: We collaborate with your team to identify AI opportunities that align with your business goals and develop a tailored strategy for successful implementation.
• Data Analysis and Management: Helping to collect, analyze, and manage data, which is crucial for effective AI solutions.
• Development and Integration of AI Solutions: Designing and integrating AI solutions aligned with your needs, whether for process automation, customer interaction, or decision-making.
• Training and Support: Although we do not provide training ourselves, we do assist with setting it up as part of the program

Which goals you should set

When implementing AI, it is important to set clear and achievable goals that align with your overall business strategy. Here are some steps to help you define those goals:

1. Identify Business Needs: Determine which areas within your organization can benefit from AI. This can range from automating repetitive tasks to improving customer relationships.
2. Evaluate Available Resources: Assess the technological and human resources available for AI implementation. Does your organization have the right infrastructure and skills?
3. Set Specific and Measurable Goals: Formulate clear goals, such as "reducing data processing time by 30% within six months."
4. Define KPIs and Measurement Methods: Determine how you will track progress and measure the success of your AI initiatives.
5. Implement and Evaluate: Execute the AI strategy and regularly evaluate results to make adjustments for continuous improvement.

By following these steps and partnering with an experienced organization like Fortis AI, you can maximize the benefits of AI and position your organization for future success.

Conclusion

AI trends in 2025 show how this technology is becoming increasingly interwoven with our daily lives and solving complex problems in ways that were unthinkable a few years ago. From advanced agentic AI to nearly limitless memory capacity, these developments promise a future in which AI supports, enriches, and enables us to push new boundaries. Also be sure to read the exciting news about the new LLM from OpenAI O3