The Future of AI: 8 Important Trends to Watch in 2025

The world of AI is rapidly evolving, and it's essential to stay informed about the latest developments and trends. In this article, we'll explore eight important AI trends to watch in 2025, from AI agents and inference time compute to human-in-the-loop augmentation and more.

Introduction to AI Trends in 2025

As we look ahead to 2025, it's clear that AI will continue to play a significant role in shaping the future of technology. View the introduction to AI trends in 2025

Trend #1: AI Agents

The first trend is AI agents, which are intelligent systems that can reason, plan, and take action. These agents can break down complex problems into multi-step plans and interact with tools and databases to achieve goals. However, current models struggle with consistent logical reasoning, and better models will be needed in 2025 to improve their performance. See AI agents in action

Trend #2: Inference Time Compute

The second trend is inference time compute, which refers to the ability of AI models to spend time "thinking" before giving an answer. This allows for more accurate and nuanced responses, especially in complex scenarios. Learn more about inference time compute

Trend #3: Very Large Models

The third trend is very large models, which consist of many parameters refined over the training process. The next generation of models is expected to be many times larger than current models, with some potentially reaching upwards of 50 trillion parameters. Explore the potential of very large models

Trend #4: Very Small Models

The fourth trend is very small models, which are only a few billion parameters in size. These models don't require huge data centers or stacks of GPUs to operate and can run on laptops or even phones. Discover the benefits of very small models

Trend #5: Advanced Enterprise Use Cases

The fifth trend is advanced enterprise use cases, such as customer service bots that can solve complex problems, AI systems that can proactively optimize entire IT networks, and security tools that can adapt to new threats in real-time. Learn more about advanced enterprise use cases

Trend #6: Near-Infinite Memory

The sixth trend is near-infinite memory, where AI models can keep everything they know about us in memory at all times. This could lead to customer service chatbots that can recall every conversation they've had with us. Explore the potential of near-infinite memory

Trend #7: Human-in-the-Loop Augmentation

The seventh trend is human-in-the-loop augmentation, which refers to the collaboration between humans and AI systems to achieve better outcomes. However, current AI systems can be difficult to use, and better systems are needed to allow professionals to augment AI tools into their workflow without needing to be experts in AI. Learn more about human-in-the-loop augmentation

Conclusion

In conclusion, the future of AI is exciting and rapidly evolving. By understanding these eight important trends, we can better prepare ourselves for the opportunities and challenges that lie ahead. Whether it's AI agents, inference time compute, or human-in-the-loop augmentation, each trend has the potential to revolutionize the way we live and work. As we look ahead to 2025, one thing is clear: AI will continue to play a significant role in shaping the future of technology.