Artificial Intelligence (AI) will continue to develop in 2025 and will have an increasing impact on our daily lives and businesses. Key trends in AI show how this technology is reaching new heights. Here we discuss some of the key developments that will shape the future of AI.
1. Agentic AI: Independent and Decisive AI
Agentic AI refers to systems that are capable of making decisions independently within predefined limits. By 2025, AI systems will become 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, taking the burden off 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 becomes a crucial factor. In 2025, a lot of attention will be paid to hardware and software optimizations to make AI models faster and more energy efficient. This includes specialized chips such as tensor processing units (TPUs) and neuromorphic hardware that support inference with minimal delay.
3. Very Large Models: The Next Generation of AI
Since the introduction of models such as GPT-4 and GPT-5, very large models continue to grow in size and complexity. In 2025, these models will not only be larger, but also optimized for specific tasks, such as legal analyses, medical diagnostics and scientific research. These hyper-complex models deliver unprecedented accuracy and context understanding, but also pose infrastructure and ethics challenges.
4. Very Small Models: AI for the Peripherals
At 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 such as 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 go beyond traditional domains such as image and speech recognition. Think of AI that supports creative processes such as fashion design, architecture and even music composition. 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 complete IT systems, software development and cybersecurity
6. Nearly Infinite Memory: AI Without Limits
By integrating cloud technology and advanced data management systems, AI systems have access to what almost feels like infinite memory. This enables long-term context retention, essential for applications such as personalized virtual assistants and complex customer service systems. This capability enables AI to deliver consistent and context-aware experiences over extended periods of time. In fact, the AI remembers all conversations it has ever had with you. The question is whether you want that, of course, so there should 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 through human supervision at critical stages of decision-making. This is especially important in industries such as aviation, healthcare and finance, where human experience and judgment remain crucial. Strangely enough, tests with diagnoses by 50 doctors show that an AI does this better and even does better only when assisted by an AI. So we must above all learn to ask the right questions.
7. REASING AI
With the arrival of O1, OpenAi has taken the first step towards an reasoning LLM. This step was quickly overtaken by O3. But also from an unexpected corner, competition comes from Deepseek R1. An OpenSource Reasoning and Reinforcement Learning Model that is many times cheaper than American competitors, both in terms of energy use and the use of hardware. Because this had a direct impact on the market value of all AI related companies, the tone was set for 2025.
How NetCare can help with this subject
NetCare has a proven track record in the implementation of 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 in their AI initiatives.
Our approach includes:
- Consultancy and strategy development : We work together with your team to identify AI options that match your business goals and develop a tailor-made 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 that are tailored to your needs, whether it concerns process automation, customer interaction or decision-making.
- Training and support : Although we do not provide training ourselves, we help set it up from the program
Which goals you should set
When implementing AI, it is important to set clear and feasible goals in line with your general business strategy. Here are a few steps to help you define these goals:
- Identify business needs : Determine which areas within your organization can benefit from AI. This can vary from automating repetitive tasks to improving customer relationships.
- Evaluate available resources : assess the technological and human resources that are available for AI implementation. Does your organization have the right infrastructure and skills?
- Set specific and measurable goals : Formulate clear goals, such as "reducing the processing time of data by 30% within six months".
- Define KPIs and measurement methods : determine how you will measure the progress and success of your AI initiatives.
- Implement and evaluate : perform the AI strategy and regularly evaluate the results to make adjustments for continuous improvement.
By following these steps and working together with an experienced partner such as NetCare, 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 intertwined with our daily lives and solving complex problems in ways that were unthinkable just a few years ago. From advanced agentic AI to near-infinite memory capacity, these developments promise a future where AI supports us, enriches us and enables us to push new boundaries. Be sure to read the exciting news about the new LLM OpenAI O3
