AI is leaving the chat window 🦞

What ClawCon Copenhagen showed about the future of lean growth

Last night I visited the OpenClaw conference in Copenhagen. What I expected to be another AI meetup felt more like an early signal of how ambitious companies may operate differently in the next few years.

Like many people working close to technology and growth right now, I’ve seen more than enough AI demos, wrappers, and tools solving problems nobody really has. Plenty of activity, less substance and actual productivity.

This experience was different. OpenClaw points toward something that is starting to be really interesting. Not another chatbot (we’ve seen plenty of those). Actually something closer to a digital operator.

For the last two years, most businesses have experienced AI through a prompt box. You ask something, it answers. You upload something, it summarizes. You request a draft, it gives you one. Useful, but still passive. Still waiting, outside the real flow of work.

What became clearer last night in Copenhagen is that we are starting to move into a different phase. AI systems that can access tools, navigate systems, keep context, execute tasks, and contribute inside actual workflows.

An actual shift from “AI chatting with me”, to “AI working with me”, and increasingly, what is much more interesting - “AI working for me”.

That distinction matters much more than most people realise.

For founders, that translates directly into more output before the next hire, fewer handoffs and faster movement.

Where this becomes comercially interesting

To be honest, I’ve always felt the mainstream AI conversation focused too much on surface level productivity gains. Write emails faster. Make content quicker. Summarise meetings. Generate ideas. All great and helpful, but not transformational.

Now we are approaching what is really interesting - operational leverage.

Now is when things become strategically interesting. That is also where many growth companies are paying attention right now, and probably why the conference booked out very quickly.

Teams can scale differently now

A startup with ten people today has access to capabilities that required twenty people not long ago. We’ve talked about this for years.

With Tribaldata, we were early in building AI-powered customer conversations and insight systems. We learned early that the real value of AI was helping companies make better decisions and scale smarter. What I saw in Copenhagen was that this same principle is now moving into operations.

What struck me in Copenhagen last night was that many of those ideas are now, finally, becoming operationally real.

You could hear it in the examples people shared:

• Filip Sardjoski (Interhuman AI) spoke about how their AI systems helped them with marketing execution.

• Corey Henderson (KRING Ventures) described his vision of where software development is going and how developers are now the multipliers rather than the bottleneck in the organisations.

• Jacob Tomlinson (NVIDIA) spoke about enterprise-grade and secure AI operator environments with NemoClaw.

• Alexey Taktarov (Ficus.io) showed a couple of strong examples of an assistant that moves beyond prompts into actual usefulness.

Different use cases, same pattern - small teams gaining real leverage, way beyond gimmicks. This is starting to affect the economics of growth, especially for SME’s, as with the right expertise you can:

• Scale longer and delay hires

• Create fewer layers

• Stronger margins earlier

And perhaps most important - founders can stay closer to the business for longer. For ambitious companies and investors, that matters.

Tools alone isn’t the solution, ask the right questions

This is also where many businesses will get it wrong. They will buy tools without changing how they work. They will experiment endlessly without ownership. They ask themselves the wrong questions.

Ever heard questions like “How can we use AI?” where you work?

How about asking these instead:

• Where are we slow?

• Where do handovers fail?

• Where does information get lost?

• Where are expensive people doing low-value tasks?

That is where real leverage sits.

Technology rarely fixes unclear operations. It usually amplifies them.

This is where many companies need help. Not choosing tools, but rather redesigning how work gets done. Aligning business priorities, product execution, and the right automation opportunities.

What stayed with me from Copenhagen

The most interesting thing about OpenClaw wasn’t the software itself.

It was what it represents.

AI is starting to leave the chat window and enter the company.

Into workflows, system, operations, and the everyday mechanics of getting things done.

For founders, operators and growth companies, the next advantage doesn’t come from hiring faster or raising more. It may come from building clearer, smarter operations first.