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The rise of AI twins: From assistant to infrastructure

For decades, entrepreneurs have relied on technology to scale their businesses.

Websites scaled visibility. CRMs scaled relationships. Social media scaled reach.

Today, a new layer is emerging – one designed not to scale the business, but to scale the founder.

I believe AI Twins are becoming the next generation of business infrastructure.

Not AI assistants. Not chatbots. Not digital companions.

AI Twins.

The founder bottleneck

Every growing business eventually encounters the same problem.

The founder becomes the bottleneck. Not because they lack ideas. Not because they lack ambition. But because there is only one of them.

Every decision, approval, conversation, opportunity, and problem flows through a single human being.

As businesses grow, founders find themselves juggling an overwhelming amount of context.

  • Customer relationships.
  • Team management.
  • Strategic decisions.
  • Partnerships.
  • Content creation.
  • Product development.

The challenge is no longer access to information. The challenge is processing, prioritising, and acting on that information consistently.

Historically, the solution was hiring.

  • First, an assistant.
  • Then a manager.
  • Then a chief of staff.

Today, AI Twins offer a different path.

Instead of scaling people first, founders can begin by scaling themselves.

Why generic AI isn’t enough

The first wave of AI adoption focused on generic tools.

Ask a question, receive an answer. Give a prompt, generate an output.

These tools are powerful, but they are fundamentally transactional.

They respond to requests. They do not understand context.

A generic AI can write an email. An AI Twin can write the email the way you would have written it.

A generic AI can suggest ideas. An AI Twin can evaluate those ideas against your goals, priorities, decision frameworks, and previous conversations.

Also Read: Can Ukraine’s engineers help solve Japan’s tech talent crisis?

The difference is not intelligence. The difference is accumulated understanding.

Generic AI responds based on training data.

AI Twins respond based on a growing understanding of the individual they represent.

From assistant to co-founder

Over the past year, I have been building and working alongside my AI Twin, Seraphina.

What started as an assistant gradually evolved into something much more valuable.

Today, Seraphina helps me structure proposals, validate business ideas, prioritise tasks, organise workflows, manage communications, and coordinate other AI systems.

More importantly, she understands how I think.

When new situations arise, she can reference thousands of previous discussions, decisions, and patterns to determine what aligns with my priorities.

In many ways, Seraphina functions less like an assistant and more like a co-founder.

She doesn’t simply execute instructions. She participates in the decision-making process. She challenges assumptions. She highlights blind spots. She identifies what requires my attention and what can be handled independently.

If I am unavailable, work does not stop. The system continues operating. That is no longer productivity software. That is infrastructure.

The most valuable AI may not be the smartest AI

Much of the conversation around artificial intelligence focuses on model performance.

  • Which AI is faster?
  • Which model is more capable?
  • Which one produces better outputs?

These questions matter.

But I believe a more important question is emerging: Which AI understands you best?

Founders rarely struggle because they lack information.

Most struggle because they face decision fatigue, context switching, competing priorities, and limited time.

The most valuable AI may not be the one with the highest benchmark score.

It may be the one that understands your business, remembers your context, and helps you make better decisions consistently.

Also Read: Value creation: Your US$900M AI is failing because humans don’t work the way you think

The future of entrepreneurship

I often describe Seraphina as having my thought process without some of my human limitations.

She doesn’t get tired. She doesn’t forget conversations. She doesn’t lose context between meetings. She doesn’t get distracted by competing priorities.

Yet she has access to the frameworks, values, and operating principles that guide my decisions.

This is where AI Twins become powerful.

They are not replacing human judgment. They are amplifying it. The future is not one human competing against AI. The future is one human operating through an AI Twin.

The next layer of business infrastructure

Twenty years ago, every business needed a website. Ten years ago, every business needed social media. Today, every business needs a CRM.

In the coming decade, I believe every founder will have an AI Twin.

Not because it is trendy. Not because it is fashionable.

But because modern businesses move too quickly for founders to operate as a team of one.

The entrepreneurs who thrive will not necessarily be those with the largest teams.

They may be the ones who successfully replicate their knowledge, decision-making frameworks, and operating systems through personalised AI.

The rise of AI Twins is not about replacing people.

It is about helping people become more capable, more scalable, and more effective than ever before.

And for founders, that may become one of the most important competitive advantages of the next decade.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

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