Jan 20, 2025

What’s Next for AI Design: Themes for 2025

In my course, Become an AI Product Designer, one of the lessons explores what’s on the horizon of AI design, in order to equip product leaders to become catalysts for AI-first interfaces.

As we look ahead, I’ve been reflecting on emerging themes in AI design for 2025 that excite me personally. These trends will, in my opinion, shape the way we interact with technology in profound ways.

Here’s what I’m personally excited about:

1. Interfaces That Adapt to User Needs

Interface design as we know it is changing. We’re moving from structured, static UIs to interfaces that dynamically adapt to user needs - leveraging context, personalization, and real-time inputs (this is also known as Generative UI). This evolution will enable simpler, cleaner UX by delivering precisely what users need, when they need it.

I’m particularly excited by the work being driven by @Jordan Singer at Mainframe on this.

Beam by Toby Brown showcases adaptive design principles in action as well. Pietro Schirano‘s example of an AI tool changing its interface by chatting with it directly exemplifies this neatly.

2. Reimagining Data Organization

Similarly, the way data is structure today is starting to feel outdated. AI’s ability to reorganize and restructure data empowers users to access information in new, intuitive ways - tailored to what they need, when they need it.

I’ve enjoyed Matthew Siu’s explorations that hint at how we might fundamentally rethink data structuring. There is a lot potential in how we design new patterns for this!

3. Fluid Media

Thanks to AI, media creation is more accessible than ever. Technologies that once seemed futuristic - turning text into videos, images into 3D models, or videos into 3D worlds - are now democratized. This opens a world of immersive and creative possibilities.

There are many advanced models out there (e.g. image to video, image to 3D etc), but here is a classic and simple example of this: MetaDemoLab’s sketch-to-character tool that I helped explore a few years ago.

4. Multimodal Interactions

Gone are the days of relying solely on singular inputs and outputs. With advancements in multimodal technologies, we can now gain deeper insights into user intent and unlock entirely new experiences.

Today, AI assistants with voice that generate images or do tasks for the users are proving to be really valuable. Claude artifacts serve as a notable example, showcasing the potential of these capabilities. However, we have only scratched the surface of what’s possible, and the opportunities ahead in this space are incredibly exciting.

5. Human-AI Connections

While chatbots may not represent the definitive experience of the future, they have introduced a transformative new way of interacting with technology.

AI is increasingly becoming a trusted partner for quick tasks, advice, journaling, and more, reshaping how we perceive human-AI connections. This evolution demands thoughtful design to ensure these interactions are safe, intuitive, and beneficial. Consider your own use of AI assistants—what do you rely on them for, and what does that reveal about your relationship with them?

Personally, I’ve been using apps like Rosebud for months, and these AI experiences now know me better than some of my friends!

6. Immersive Experiences

With fluid media, adaptive interfaces, and multimodal interactions, creating immersive experiences has never been easier. Voice modes in AI apps are just the beginning. Advanced applications are pushing the boundaries of what’s possible in digital experiences.

Some recent launches by Rooms are a fun example of this.

7. Empowering Anyone to Build Anything

The lines between designer, product manager, and engineer are blurring. Today, tools like Cursor empower anyone to build AI applications, making design and engineering accessible to all.

I’ve noticed this first hand in my course, where where PMs and engineers are signing up to learn how to design AI experiences. Dreamcut.ai by MengTo showcases how creativity and AI intersect as a result of such powerful tools.

8. AI-First Interaction Patterns

As we explore these emerging themes, a crucial question arises: Do our current design patterns suffice for the complexities of AI-driven experiences?

In my opinion, the answer is a resounding no. Consider challenges like creating consistent characters during image generation - these require interim solutions that bridge today’s needs and what the models are capable of achieving currently with tomorrow’s potential. In my course, creating such patterns is our focus in week #2 and #3.

If you enjoyed this thread, sign up for my Become an AI Product Designer course, next cohort kicks off February 3rd (you can even use the code DIVECLUB to get $100 off!).

Also if you have other themes you’re excited about in 2025 please share! I’d love to hear.

Learn how to design AI-powered products and experiences to set yourself up for a career as an AI product designer.

Designed for busy professionals

  • Total 3 weeks, 4 hours per week commitment

  • Recorded Sessions: Available anytime

  • Discussion Boards: Participate asynchronously

  • Support: Dedicated support and 1:1 guidance

  • Resources: Ongoing AI learning materials

  • Live Q&As and Discussions: Hands-on learning

Claim your spot ($100 off) →

In my course, Become an AI Product Designer, one of the lessons explores what’s on the horizon of AI design, in order to equip product leaders to become catalysts for AI-first interfaces.

As we look ahead, I’ve been reflecting on emerging themes in AI design for 2025 that excite me personally. These trends will, in my opinion, shape the way we interact with technology in profound ways.

Here’s what I’m personally excited about:

1. Interfaces That Adapt to User Needs

Interface design as we know it is changing. We’re moving from structured, static UIs to interfaces that dynamically adapt to user needs - leveraging context, personalization, and real-time inputs (this is also known as Generative UI). This evolution will enable simpler, cleaner UX by delivering precisely what users need, when they need it.

I’m particularly excited by the work being driven by @Jordan Singer at Mainframe on this.

Beam by Toby Brown showcases adaptive design principles in action as well. Pietro Schirano‘s example of an AI tool changing its interface by chatting with it directly exemplifies this neatly.

2. Reimagining Data Organization

Similarly, the way data is structure today is starting to feel outdated. AI’s ability to reorganize and restructure data empowers users to access information in new, intuitive ways - tailored to what they need, when they need it.

I’ve enjoyed Matthew Siu’s explorations that hint at how we might fundamentally rethink data structuring. There is a lot potential in how we design new patterns for this!

3. Fluid Media

Thanks to AI, media creation is more accessible than ever. Technologies that once seemed futuristic - turning text into videos, images into 3D models, or videos into 3D worlds - are now democratized. This opens a world of immersive and creative possibilities.

There are many advanced models out there (e.g. image to video, image to 3D etc), but here is a classic and simple example of this: MetaDemoLab’s sketch-to-character tool that I helped explore a few years ago.

4. Multimodal Interactions

Gone are the days of relying solely on singular inputs and outputs. With advancements in multimodal technologies, we can now gain deeper insights into user intent and unlock entirely new experiences.

Today, AI assistants with voice that generate images or do tasks for the users are proving to be really valuable. Claude artifacts serve as a notable example, showcasing the potential of these capabilities. However, we have only scratched the surface of what’s possible, and the opportunities ahead in this space are incredibly exciting.

5. Human-AI Connections

While chatbots may not represent the definitive experience of the future, they have introduced a transformative new way of interacting with technology.

AI is increasingly becoming a trusted partner for quick tasks, advice, journaling, and more, reshaping how we perceive human-AI connections. This evolution demands thoughtful design to ensure these interactions are safe, intuitive, and beneficial. Consider your own use of AI assistants—what do you rely on them for, and what does that reveal about your relationship with them?

Personally, I’ve been using apps like Rosebud for months, and these AI experiences now know me better than some of my friends!

6. Immersive Experiences

With fluid media, adaptive interfaces, and multimodal interactions, creating immersive experiences has never been easier. Voice modes in AI apps are just the beginning. Advanced applications are pushing the boundaries of what’s possible in digital experiences.

Some recent launches by Rooms are a fun example of this.

7. Empowering Anyone to Build Anything

The lines between designer, product manager, and engineer are blurring. Today, tools like Cursor empower anyone to build AI applications, making design and engineering accessible to all.

I’ve noticed this first hand in my course, where where PMs and engineers are signing up to learn how to design AI experiences. Dreamcut.ai by MengTo showcases how creativity and AI intersect as a result of such powerful tools.

8. AI-First Interaction Patterns

As we explore these emerging themes, a crucial question arises: Do our current design patterns suffice for the complexities of AI-driven experiences?

In my opinion, the answer is a resounding no. Consider challenges like creating consistent characters during image generation - these require interim solutions that bridge today’s needs and what the models are capable of achieving currently with tomorrow’s potential. In my course, creating such patterns is our focus in week #2 and #3.

If you enjoyed this thread, sign up for my Become an AI Product Designer course, next cohort kicks off February 3rd (you can even use the code DIVECLUB to get $100 off!).

Also if you have other themes you’re excited about in 2025 please share! I’d love to hear.

Learn how to design AI-powered products and experiences to set yourself up for a career as an AI product designer.

Designed for busy professionals

  • Total 3 weeks, 4 hours per week commitment

  • Recorded Sessions: Available anytime

  • Discussion Boards: Participate asynchronously

  • Support: Dedicated support and 1:1 guidance

  • Resources: Ongoing AI learning materials

  • Live Q&As and Discussions: Hands-on learning

Claim your spot ($100 off) →

In my course, Become an AI Product Designer, one of the lessons explores what’s on the horizon of AI design, in order to equip product leaders to become catalysts for AI-first interfaces.

As we look ahead, I’ve been reflecting on emerging themes in AI design for 2025 that excite me personally. These trends will, in my opinion, shape the way we interact with technology in profound ways.

Here’s what I’m personally excited about:

1. Interfaces That Adapt to User Needs

Interface design as we know it is changing. We’re moving from structured, static UIs to interfaces that dynamically adapt to user needs - leveraging context, personalization, and real-time inputs (this is also known as Generative UI). This evolution will enable simpler, cleaner UX by delivering precisely what users need, when they need it.

I’m particularly excited by the work being driven by @Jordan Singer at Mainframe on this.

Beam by Toby Brown showcases adaptive design principles in action as well. Pietro Schirano‘s example of an AI tool changing its interface by chatting with it directly exemplifies this neatly.

2. Reimagining Data Organization

Similarly, the way data is structure today is starting to feel outdated. AI’s ability to reorganize and restructure data empowers users to access information in new, intuitive ways - tailored to what they need, when they need it.

I’ve enjoyed Matthew Siu’s explorations that hint at how we might fundamentally rethink data structuring. There is a lot potential in how we design new patterns for this!

3. Fluid Media

Thanks to AI, media creation is more accessible than ever. Technologies that once seemed futuristic - turning text into videos, images into 3D models, or videos into 3D worlds - are now democratized. This opens a world of immersive and creative possibilities.

There are many advanced models out there (e.g. image to video, image to 3D etc), but here is a classic and simple example of this: MetaDemoLab’s sketch-to-character tool that I helped explore a few years ago.

4. Multimodal Interactions

Gone are the days of relying solely on singular inputs and outputs. With advancements in multimodal technologies, we can now gain deeper insights into user intent and unlock entirely new experiences.

Today, AI assistants with voice that generate images or do tasks for the users are proving to be really valuable. Claude artifacts serve as a notable example, showcasing the potential of these capabilities. However, we have only scratched the surface of what’s possible, and the opportunities ahead in this space are incredibly exciting.

5. Human-AI Connections

While chatbots may not represent the definitive experience of the future, they have introduced a transformative new way of interacting with technology.

AI is increasingly becoming a trusted partner for quick tasks, advice, journaling, and more, reshaping how we perceive human-AI connections. This evolution demands thoughtful design to ensure these interactions are safe, intuitive, and beneficial. Consider your own use of AI assistants—what do you rely on them for, and what does that reveal about your relationship with them?

Personally, I’ve been using apps like Rosebud for months, and these AI experiences now know me better than some of my friends!

6. Immersive Experiences

With fluid media, adaptive interfaces, and multimodal interactions, creating immersive experiences has never been easier. Voice modes in AI apps are just the beginning. Advanced applications are pushing the boundaries of what’s possible in digital experiences.

Some recent launches by Rooms are a fun example of this.

7. Empowering Anyone to Build Anything

The lines between designer, product manager, and engineer are blurring. Today, tools like Cursor empower anyone to build AI applications, making design and engineering accessible to all.

I’ve noticed this first hand in my course, where where PMs and engineers are signing up to learn how to design AI experiences. Dreamcut.ai by MengTo showcases how creativity and AI intersect as a result of such powerful tools.

8. AI-First Interaction Patterns

As we explore these emerging themes, a crucial question arises: Do our current design patterns suffice for the complexities of AI-driven experiences?

In my opinion, the answer is a resounding no. Consider challenges like creating consistent characters during image generation - these require interim solutions that bridge today’s needs and what the models are capable of achieving currently with tomorrow’s potential. In my course, creating such patterns is our focus in week #2 and #3.

If you enjoyed this thread, sign up for my Become an AI Product Designer course, next cohort kicks off February 3rd (you can even use the code DIVECLUB to get $100 off!).

Also if you have other themes you’re excited about in 2025 please share! I’d love to hear.

Learn how to design AI-powered products and experiences to set yourself up for a career as an AI product designer.

Designed for busy professionals

  • Total 3 weeks, 4 hours per week commitment

  • Recorded Sessions: Available anytime

  • Discussion Boards: Participate asynchronously

  • Support: Dedicated support and 1:1 guidance

  • Resources: Ongoing AI learning materials

  • Live Q&As and Discussions: Hands-on learning

Claim your spot ($100 off) →

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@grannellmat

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Get our weekly breakdowns

"Dive is the single most important factor in my growth"

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I've been binging Dive Club lately and the quality is nuts

Literally the only show about design I watch”

Eugene Fedorenko

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Ⓒ Dive 2024