A New Type of Human

AI is not just speeding up work — it is changing how we process information. Until now, technology has been about efficiency, streamlining workflows, and cutting down unnecessary steps. But AI is different. It is starting to expand cognition itself, helping us organize thoughts, structure ideas, and offload mental load in ways no software has before.

The world has been suffocating under complexity. Too much information, too many tools, too many friction points. AI is cutting through that. It is not just a productivity boost — it is a fundamental shift in how we interact with technology. The deeper we integrate it, the more powerful it becomes.

From Apps to Adaptive Intelligence

Personal AI models will become as essential as smartphones. We will look back at a time when we manually searched through apps, managed dozens of tools, and navigated clunky UI as something primitive. Instead of adjusting to rigid software structures, software will adjust to us.

Right now, we still think of AI as a tool that sits on top of software. That is about to change. Instead of launching individual apps, we will interact with a single intelligence layer that dynamically pulls in whatever functionality we need.

Imagine opening a laptop and typing, “I need to edit a video.” Instead of manually opening software, AI generates the right tool on the spot. The app store as we know it disappears — replaced by an AI-powered system that spins up micro-apps in real time. No downloads, no subscriptions, just immediate, personalized access to the exact functionality you need.

This shift will fundamentally change software distribution. Instead of companies selling standalone apps, AI will assemble customized workflows on demand. Users will not need to buy a full-featured design suite when they only need a cropping tool. They will not need to download a bulky accounting app when they just need a one-time invoice generator.

The current fixed software model is about to become a thing of the past.

We’re All Product Managers Now

Right now, ChatGPT can “remember” things within a conversation but loses context over time. That creates a bottleneck. AI is not just about answering questions — it needs to be able to structure information persistently and provide referential memory.

A meal plan is a perfect example. If I ask ChatGPT to generate one, it gives a list of meals. But the next time I ask, it does not remember what I liked, what I removed, or how my diet changed. That is where self-building interfaces come in.

Instead of giving a static list, AI should say:

“I created an interactive meal plan for you. Here is an app to track it. Let me know if you want to swap anything out.”

This app would not be an off-the-shelf product. It would be created on the spot, customized to the user’s needs, and editable in real time. If you say, “Add more protein,” the UI should update instantly. If you say, “Show me a weekly grocery list,” it should generate one dynamically.

This is where it then jumps up a level. I can edit the GUI itself in real time. I can say:

• “Show a picture of each meal in each section.”

• “Add a tool that allows me to count calories.”

• “Give me a breakdown of the macros for each meal.”

And the AI does not just return information — it builds the features in real time.

We are moving into an era where users are no longer just consumers of software — they are active participants in shaping it. Every interaction becomes a micro-product decision. AI will not just assist — it will give users the ability to design their own workflows on the fly.

At this point, AI stops being a chatbot and starts becoming an adaptive, personal operating system.

Hybrid GUIs — The Next Evolution

On the other side, for existing apps, AI and chat are being built in as a small set of features or as a separate part of the app, like a chat tab. That is not thinking big enough.

I am currently working with a procurement startup that is integrating AI into contract management. Instead of navigating a dashboard, users can talk to an assistant to get things done, while the interface updates in real time like a collaborator. The AI executes tasks, references a traditional UI when needed, and adapts the layout dynamically.

This hybrid model, where chat is not just an overlay but an integrated, evolving UI, is the next step.

As more applications start to integrate AI directly into their workflows, the boundary between chat and UI will blur. This raises key design questions:

• Is chat persistent across the entire app, or is it tied to specific actions?

• Does the AI have full access to modify the UI, or does it work within set parameters?

• Is the chatbot actively updating and refreshing elements, or is it operating as a passive guide?

• Does AI exist as a separate assistant, or does it become an integral part of the software itself?

AI-driven systems will not just assist — they will collaborate, modify, and even design the tools users interact with in real time.

AI Is Replacing Big Software With Micro UX

The days of bloated enterprise software are numbered. AI is about to replace slow, clunky platforms with no-code micro tools that generate exactly what users need in the moment.

Docusign is a perfect example. Right now, it forces users through multiple screens, manual inputs, and unnecessary steps. AI will remove all of that. Instead of navigating a UI, users will simply type:

“Send this contract to John with a clause that ensures payment is due in 30 days.”

The AI will draft the contract, send it, and update the user if there is an issue. No menus, no manual form-filling, no app navigation.

This shift is not limited to contracts. Every industry that relies on rigid workflows, dashboards, and multi-step processes is about to be replaced by fluid, AI-driven micro UX.

Big software companies that fail to adapt will get pushed out by AI-native tools that generate on-demand UX.

Real-Time, Editable Interfaces Will Become Standard

Once users expect AI to modify their interfaces instead of forcing them to work around rigid software, the shift will be irreversible. We are entering a time where interfaces will not be designed statically — they will be generated on demand.

A modular AI-driven UI will be:

• Dynamically created based on user intent

• Editable in real time (“Make this simpler,” “Add icons here”)

• Fluid across workflows, removing unnecessary steps

Instead of clicking through layers of menus, AI will generate exactly what you need as you need it.

Once this heuristic is ingrained in the public — just like swiping gestures on an iPhone — expectations will change permanently. People will no longer tolerate fixed UI. They will expect technology to mold around their needs in real time.

This Is Just the Beginning

The transition to AI-driven interfaces is not the end goal — it is the foundation for something much bigger. Once software is no longer static, the creative possibilities explode. Entirely new mediums, new workflows, and new ways of thinking will emerge.

This is where the real breakthroughs will happen. Not just in how we use technology, but in how technology interacts with us.

The companies that understand this shift will define the future of tech. The ones that do not will be replaced.