Where Creativity Meets Capital

For much of the last twenty years, venture capital has been remarkably consistent in what it rewarded: recurring revenue, software margins, scalable infrastructure and large addressable markets. Businesses that looked increasingly like software businesses attracted the highest valuations, the deepest pools of capital and the greatest investor attention.

It was a rational strategy. Software fundamentally changed how organisations operated. Every workflow became digital, every department adopted cloud infrastructure and every industry began generating exponentially more data than it could effectively use. The result was one of the greatest periods of value creation in modern business history.

Artificial intelligence represents the next chapter of that story—but not for the reasons many people assume. The opportunity is not simply to build more AI companies. It is to rethink how value itself is created.

AI is changing economics, not just technology

Every major technology cycle changes the economics of business. The internet reduced distribution costs. Cloud computing reduced infrastructure costs. Mobile computing reduced access costs. Artificial intelligence is reducing knowledge costs.

Tasks that previously required specialist expertise can now be completed dramatically faster, often with higher consistency and lower marginal cost. That does not remove the need for expertise. It changes where expertise creates value.

The businesses that will emerge strongest from this cycle will not necessarily have the best models. They will understand their industries better than anyone else. They will know where human judgement matters, which workflows deserve automation and which require augmentation. Technology becomes an amplifier rather than the product itself.

From software-first to operator-first

Many early technology businesses were founded by exceptional engineers. Increasingly, tomorrow’s category leaders will also be exceptional operators.

Founders who have spent years inside industries understand inefficiencies that are invisible to outsiders. They know where processes break, understand customer behaviour and appreciate the operational realities behind seemingly simple problems.

Artificial intelligence gives these founders an unprecedented opportunity. Instead of building consulting businesses that scale through headcount, they can build platforms that scale through software. Instead of delivering services manually, they can codify expertise. Instead of selling time, they can build repeatable intellectual property.

The distinction between software and services is beginning to disappear.

The rise of applied AI

Much attention remains focused on foundation models. They matter. But enormous value will be created much closer to customers.

Applied AI businesses solve specific commercial problems. They integrate into existing workflows, combine proprietary data with operational expertise and deliver measurable commercial outcomes.

These companies rarely appear revolutionary at first glance. Instead, they quietly transform industries by making existing processes significantly better. This is where we believe much of the next decade’s value creation will occur.

Creativity becomes infrastructure

Artificial intelligence is often discussed in technical terms: models, compute, inference and training data. Yet one of the most profound consequences of AI is occurring within creative industries—content production, marketing, research, design, media and commerce.

These disciplines are becoming increasingly software-enabled. Creative capability is no longer limited by production capacity. Instead, competitive advantage comes from combining imagination with operational discipline.

Businesses that successfully integrate creativity and technology will increasingly own the customer relationship.

Capital efficiency returns

For several years, venture capital rewarded growth almost regardless of efficiency. That environment has changed. Today’s founders are expected to achieve significantly more with substantially less capital.

Fortunately, artificial intelligence makes that possible. Small teams can now build products that previously required hundreds of employees. Customer acquisition can be more targeted, operations more automated and decision-making more informed.

Capital efficiency is no longer simply financial discipline. It has become a strategic advantage.

What we look for

Technology alone is rarely enough. We are drawn towards founders who combine technical understanding with commercial judgement; businesses where technology strengthens operational expertise rather than replacing it; companies solving genuine commercial problems; and teams capable of building enduring competitive advantage.

Across our work, this consistently leads us towards several overlapping themes: applied artificial intelligence, vertical software, enterprise workflow platforms, marketing and creative technology, innovative consumer and business services, and strategic buy-and-build opportunities where technology creates operational leverage.

These sectors appear different on the surface, but they are connected by one characteristic: operational expertise transformed into scalable intellectual property.

Where creativity meets capital

Technology cycles eventually mature. Competitive advantage moves away from access to technology and towards how intelligently it is applied. Artificial intelligence is unlikely to be different.

Models will improve and infrastructure will commoditise. The greatest businesses will not simply possess better technology. They will understand customers better, operate better and execute better.

Capital follows businesses capable of compounding advantage over many years.