AI Trends for 2025

The world of AI is changing and changing quickly. Martin Keen, Master Inventor is here to help set some expectations for what in AI in 2025. Will Large Language Models (LLM) get bigger? Smaller? Both? What's in store of AI Agents? Will AI finally be able to remember everything? All of this and more speculation of what 2025 will hold in store.

[iamhammadnasir]

1. Agentic AI
2. Inference Time Compute
3. Very Large Models
4. Very Small Models
5. More Advanced Use Cases
6. Near Infinite Memory
7. Human-in-the-loop Augmentation

[Almira-wc]

Thanks for explaining something so complex without making it too intimidating. Agentic AI feels like it's leading the path right now considering it's only January and it's already breaking boundaries and beyond. I even read on this one agentic AI (work beaver AI) where you can teach it to do tasks for you through demonstrating it and showing it as if you're teaching somebody, it then runs on the desktop rather than just browser which is common for most AI agents. It's worth checking out. Have you encountered or tried anything similar?

[BRichard]

As a Data Scientist, I believe the principal trends in AI will be found in two areas: 1) Locally run AI (this will occur as a result of new and innovative compression technologies), and 2) better fine-tuning/RAG capabilities which, consistent with 1) will be localized to facilitate the use of customized data. When these emerging capabilities become mainstream, you will see an accelerated growth and acceptance of AI for more practical use cases on a global scale.

[UrsHarris]

- Increased focus on Data Architecture and Data Management in enterprises (without good data, no AI)
- AI Governance and Compliance (e.g.Regulatory frameworks, auditing tools, certification processes and new certification bodies)

[AidenNova]

as someone who's been working in AI, i think the main trend for 2025 will be AI operating systems & unified interfaces rather than individual AI agents/models.

right now the AI landscape is super fragmented - you've got different models for different tasks (claude for analysis, gpt4 for creativity, gemini for math etc). what we need is an iOS-like system that brings everything together seamlessly

that's actually why we built jenova ai as an operating system first - our model router automatically picks the best AI for each task. kinda like how your iphone knows when to use different chips for different operations

the other big trend will be real-time knowledge. most AIs today work with outdated training data, but users need current info. real-time search/reddit/youtube integration will be huge in 2025

speaking from experience running an AI company - unified platforms & real-time data are where things are headed 🚀

[gemablg]

Love these IBM info/training sessions! Thank you!

[HelloCorbra]

Martin, I notice your title changes from “Master Inventor” to “IBM Fellow” on this video. Congrats on that. You’re my fav speaker on this channel 😂

[Mannnee]

I think a combination of 2. Inference Time Computing and 7. Human-In-The-Loop Augmentation.
As mentioned, detailed prompts are necessary to create both good planning and useful answers, therefore I think the agents will ask questions to the user before comprehensive task execution or answering.

[MichaelLee-gktz]

I admittedly don't know what I'm talking about, but based on my own context, increased use of APIs for custom chatbots (e.g. - Gemini API + education data systems, etc.). Great video! Thanks!

[naief]

It's great how the speaker explains complex matter so easily and in a friendly way.

[tugbayatilla]

I am watching AI related videos regularly, In my opinion, Martin Keen is the best to listen, get some ideas and learn something. Thanks a lot

[NawapoomLohajarernvanich]

I think 8. would be OS-level AI integration. This would allow even more integration between user and data which already been mentioned by AI leading companies.

[talalrahim]

1. Smarter open source models pushing prices down for proprietary ones
2. Smarter and smaller models - there’s a lot of room to make these models smaller.
3. Combining different models together and more use of traditional ML in conjunction with foundation models.

[GunjanPatel]

Summary: The video discusses eight important AI trends in 2025, including agentic AI, inference time compute, very large models, very small models, more advanced use cases, near infinite memory, human-in-the-loop augmentation, and industry-specific models.

0:00 🤔 Introduction to AI Trends in 2025
• 📊 The video introduces the topic of AI trends in 2025.
• 📈 The speaker shares their educated guesses on the most important trends.
• 📊 The speaker mentions that they previously predicted AI trends for 2024 and did alright.

0:35 🤖 Agentic AI
• 🤖 Agentic AI refers to intelligence systems that can reason, plan, and take action.
• 📊 These systems can break down complex problems into multi-step plans and interact with tools and databases.
• 🤔 However, current models struggle with consistent logical reasoning.

1:44 📊 Inference Time Compute
• 📊 Inference time compute refers to the process of a model processing real-time data and comparing it to its training data.
• 🤔 This process can be tuned and improved without retraining the model.
• 📈 This trend is interesting because it allows for better reasoning and decision-making.

2:54 📈 Very Large Models
• 📈 many parameters refined over the training process.
• 📊 These models are expected to be many times larger than current models, with up to 50 trillion parameters.
• 🤔 However, larger models may not always be better, and smaller models may be more efficient.

3:37 📊 Very Small Models
• 📊 Very small models are models that are only a few billion parameters in size.
• 📈 These models can run on laptops or phones without requiring large compute overhead.
• 🤔 These models can be tuned to complete specific tasks without requiring large data centers.

4:27 📈 More Advanced Use Cases
• 📈 More advanced use cases for AI include customer service bots that can solve complex problems.
• 📊 AI systems that can proactively optimize entire IT networks.
• 🤔 Security tools that can adapt to new threats in real-time.

5:08 📊 Near Infinite Memory
• 📊 Near infinite memory refers to the ability of models to keep everything they know about us in memory at all times.
• 🤔 This trend is approaching, with models having context windows measured in hundreds of thousands or millions of tokens.
• 📈 This will enable customer service chatbots to recall every conversation they have had with us.

5:32 🤝 Human-in-the-loop Augmentation
• 🤝 Human-in-the-loop augmentation refers to the collaboration between humans and AI systems.
• 📊 This trend is important because it can lead to better decision-making and problem-solving.
• 🤔 However, current systems require professionals to be experts in using AI, which can be a limitation.

** Generated using ✨ VidSkipper AI Chrome Plugin

[jim]

In my view, the most important trend in AI is agentic AI—the development of systems capable of taking autonomous actions while remaining aligned with user goals. This has profound implications for fields like healthcare, robotics, and personalized services.

Additionally, "inference time compute" (optimizing AI's ability to make decisions quickly and effectively) will also play a crucial role as systems become integrated into real-time applications, such as autonomous vehicles and emergency response systems.

[deepak-codes]

i think programmatic RAG, wherein embedding are stored as Graph structures instead of linear data would be super impressive and will be a trend in the coming year

[skywalkercassini]

Trend 8: Creating Data Centers specific to what we all do...considering the complexity and enormous specific data that needs to be handled...like an entire ecosystem for Govt ministries, eco system for public service, eco system for education and so on lightly integrated between them on need basis..what we can call as Responsible AI Framework

[MehammedTeshome]

AI Trends for 2025

- Agentic AI
- Inference Time compute
- Very Large Models
- Very small Models
- More Advanced Use case
- Near infinite memory
- Human in the loop augmentation

[jmgdavidson]

Trend #8 using AgenticAI to design, build, test and deploy Front and Backoffice apps

[techarm]

I'm definitely hoping the discussion of the ethics of AI evolves to something more granular, productive, and grounded rather than vague or existential throughout 2025.