Top AI Trends in 2025

Artificial Intelligence (AI) will continue to develop in 2025 and will have an ever-increasing impact on our daily lives and business operations. The main AI trends 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 independent decisions within predefined boundaries. In 2025, AI systems will become increasingly autonomous, with applications in areas such as autonomous vehicles, supply chain management, and even healthcare. These AI agents are not only reactive but also proactive, thereby relieving human teams and increasing efficiency.

2. Inference Time Compute: Optimization of Real-Time Decisions

With the growth of AI applications in real-time environments, such as speech recognition and augmented reality, inference time compute is becoming a crucial factor. In 2025, significant attention will be paid to hardware and software optimizations to make AI models faster and more energy-efficient. This includes specialized chips like 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. By 2025, these models will not only be 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 they also present challenges in terms of infrastructure and ethics.

4. Very Small Models: AI for Edge Devices

On the other side 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 will extend beyond traditional domains like image and speech recognition. Consider AI that supports creative processes, such as designing fashion, architecture, and even composing music. Furthermore, we anticipate breakthroughs in fields like quantum chemistry, where AI assists in discovering new materials and medicines. This also applies to the management of complete IT systems, software development, and cybersecurity

6. Near Infinite Memory: AI Without Limits

By integrating cloud technology and advanced data management systems, AI systems gain access to what feels almost like infinite memory. This enables the retention of long-term context, which is essential for applications such as personalized virtual assistants and complex customer service systems. This capability allows AI to provide consistent and context-aware experiences over extended periods. In fact, the AI remembers every conversation 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 thing.

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 through human supervision in critical decision-making phases. This is especially important in sectors such as aviation, healthcare, and finance, where human experience and judgment remain crucial. Strangely enough, trials with diagnoses by 50 doctors show that an AI performs better, and even performs better alone than when assisted by an AI. Therefore, we must primarily learn to ask the right questions.

7. Reasoning AI

With the arrival of O1, OpenAI took the first step towards a reasoning LLM. This step was quickly overtaken by O3. But competition is also coming from an unexpected corner from Deepseek R1. An open-source reasoning and reinforcement learning model that is many times cheaper than its American competitors, both in terms of energy consumption and hardware usage. Because this immediately impacted the stock value of all AI-related companies, the tone has been 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 companies with their AI initiatives.

Our approach includes:

• Consultancy and Strategy Development: We collaborate with your team to identify AI capabilities that align with your business goals and develop a tailored strategy for successful implementation.
• Data Analysis and Management: Assisting with the collection, analysis, and management of data, which is crucial for effective AI solutions.
• Development and Integration of AI Solutions: Designing and integrating AI solutions tailored to 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 from the program

What 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 these 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 possess the right infrastructure and skills?
3. Set Specific and Measurable Goals: Formulate clear objectives, such as “red ucing data processing time by 30% within six months”.
4. Define KPIs and Measurement Methods: Determine how you will measure the progress and success of your AI initiatives.
5. Implement and Evaluate: Execute the AI strategy and regularly evaluate the results to make adjustments for continuous improvement.

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

Conclusion

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