AI Is Changing What Venture Capital Wants To Fund

For years, venture capital was closely associated with software companies that could launch quickly, scale internationally and grow without requiring significant physical infrastructure. That model helped create some of the world's most valuable technology companies. The rapid expansion of artificial intelligence is now changing the investment landscape and encouraging investors to look beyond traditional software.

The latest data suggests that venture capital is moving into areas where technological breakthroughs require more than code. Artificial intelligence is becoming a catalyst for investment in robotics, advanced manufacturing, semiconductors, energy, defence, biotechnology and other fields where scientific research and engineering are central to commercialisation.

A recent Financial Times analysis describes this shift as a new era of “moonshot capitalism”, noting that global investment in deep technology has exceeded $150 billion since the beginning of 2024. That figure is already higher than the $133 billion invested in deep technology throughout the entire previous decade.

The significance of this trend goes beyond the amount of capital being deployed. It reflects a change in what investors believe the next generation of large companies could look like.

Venture Capital Is Looking Beyond Software

The traditional venture capital model has often rewarded businesses capable of reaching large numbers of customers with relatively low marginal costs. Software became one of the clearest examples of this model because a digital product could be distributed globally without building factories, warehouses or physical infrastructure.

AI is creating a different investment environment.

The technology itself remains software-based in many cases, yet the infrastructure required to develop and deploy advanced AI systems increasingly connects software with physical assets. Data centres require enormous amounts of computing capacity and energy. Robotics companies need hardware and manufacturing capabilities. Semiconductor companies depend on highly specialised production facilities. New energy technologies require research, equipment and long development cycles.

As AI spreads into these areas, venture capital is following the opportunities.

Alumni Ventures, citing Tracxn data, reported that deep-tech companies raised $177 billion across 2,650 funding rounds globally in 2025, representing an 82% increase from the previous year. The firm describes deep technology as moving from a specialised category toward one of the dominant forces shaping venture investment.

This represents a meaningful change in the profile of companies attracting capital.

From Digital Products To Physical Infrastructure

The most important difference between traditional software investment and deep technology is often the amount of time, capital and technical expertise required to reach commercial scale.

A software startup can sometimes launch a product with a relatively small team and limited infrastructure. A company developing advanced robotics, semiconductor technology, energy systems or aerospace applications faces a different path.

Research can take years. Manufacturing can require substantial capital. Regulatory approvals can influence timelines. Supply chains can become strategic assets. Commercialisation may depend on partnerships with established companies.

For venture investors, this creates a more complex risk profile.

Yet it can also create stronger barriers to entry.

A software product can potentially be replicated by competitors within a short period. A breakthrough in advanced materials, semiconductor design, robotics or energy technology can require years of specialised research and engineering to reproduce.

That difference is increasingly influencing where investors are willing to place capital.

AI Is Becoming An Investment Catalyst

Artificial intelligence sits at the centre of this transformation because its impact extends across multiple industries.

AI can improve drug discovery, accelerate engineering simulations, optimise manufacturing processes and support autonomous systems. It can also increase the capabilities of robots and create new demand for specialised computing infrastructure.

This means investors do not necessarily have to choose between AI and deep technology. AI is increasingly becoming part of the technology stack behind deep-tech companies.

The result is a broader investment thesis.

An investor may back an AI model company, but another opportunity can emerge in the chips required to run those models. Another company may develop the energy infrastructure needed to power AI data centres. Another may use AI to build autonomous industrial systems.

The investment opportunity therefore expands beyond the AI application itself.

The Return Of The Moonshot

The venture capital industry has historically supported ambitious companies that required years of development before reaching their full commercial potential. The current investment cycle is bringing that philosophy back into focus.

The difference is that today's moonshots are increasingly connected to technologies with physical consequences.

Robotics can change manufacturing and logistics. New energy technologies can influence electricity generation and storage. Advanced materials can affect construction, transportation and industrial production. Defence technology can transform security systems. Space companies can create new commercial infrastructure.

The Financial Times' analysis points to this broader transformation, with deep-tech investment since 2024 already surpassing the total amount invested during the previous decade.

For investors, this creates an opportunity to participate in technologies that could reshape entire industries rather than simply create another software category.

The U.S. Is At The Centre Of The Shift

The United States has a particularly strong position in this changing investment landscape.

A 2026 deep-tech report shared by Walden Catalyst Ventures and Dealroom data indicates that the U.S. accounts for a much larger share of deep-tech funding and unicorns than Europe. The report states that around 50% of U.S. venture capital funding is now directed toward deep technology, while 60% of deep-tech unicorns are based in the U.S.

This gives American investors and entrepreneurs access to a broad ecosystem spanning technology companies, universities, research institutions, defence organisations, manufacturers and financial markets.

For international entrepreneurs, the significance is equally important.

The U.S. startup ecosystem increasingly offers opportunities across the entire technology chain. A company can develop technology outside the country and seek American investment, establish commercial partnerships in the U.S., enter the American market or build its operations around the country's research and capital infrastructure.

This creates a wider range of possibilities for companies looking to expand internationally.

Investors Are Taking On More Complexity

The growing importance of deep technology also changes what venture investors need to understand.

Evaluating a conventional software company can involve metrics such as recurring revenue, customer acquisition, retention and gross margins. Those indicators remain useful, but they tell only part of the story when evaluating a company developing a new semiconductor, robotics platform or energy technology.

Investors may need to understand intellectual property, scientific feasibility, manufacturing capacity, regulatory conditions and the length of the commercialisation cycle.

The expertise required to evaluate such companies can therefore become more specialised.

This may favour investors with strong technical networks and relationships with universities, research institutions, industrial companies and government organisations.

It also creates opportunities for entrepreneurs who can combine scientific expertise with commercial thinking.

Capital Is Moving Toward Harder Problems

One of the most interesting aspects of the current shift is the type of problems attracting investment.

The venture capital market is increasingly looking at challenges that have been difficult to solve because of technological limitations rather than a lack of demand.

AI is helping change that equation.

Better computing power, advanced models and improved automation can make previously impractical projects commercially interesting.

That creates a new generation of companies built around problems that require significant technical expertise.

For founders, this can create opportunities in areas that may have appeared too complex or capital-intensive in previous investment cycles.

For investors, it can create exposure to markets with potentially large long-term consequences.

The New Venture Capital Playbook

The venture capital model emerging from this environment looks broader than the one that dominated much of the previous technology cycle.

Software remains an important part of the ecosystem. AI applications continue to attract substantial funding. Yet investors are increasingly looking at the infrastructure, scientific research and physical technologies that support the next generation of innovation.

This is why deep technology has become such an important investment category.

The companies attracting capital may take longer to build. They may require more funding. They may face more technical and regulatory uncertainty.

At the same time, successful companies can develop substantial competitive advantages that are difficult to replicate.

That combination is attractive to investors willing to take a longer view.

What This Means For Entrepreneurs

For entrepreneurs, the changing investment landscape creates a new set of possibilities.

The opportunity may come from building an AI company, but it can also come from applying AI to an existing industrial challenge. Robotics, energy, manufacturing, defence, biotechnology and advanced materials are becoming increasingly connected to AI capabilities.

The strongest opportunities may emerge where these technologies intersect.

A founder who understands both the technical problem and the commercial market can potentially build a company around a much larger opportunity than a standalone software application.

This also changes the way entrepreneurs should think about capital.

A company developing advanced technology may require investors who understand longer development cycles and technical risk. Finding the right capital can therefore become as important as finding capital itself.

A New Era For Venture Capital

Artificial intelligence is doing more than creating another generation of startups. It is changing the direction of venture capital itself.

The rapid growth of deep-tech investment shows that investors are increasingly willing to finance companies working on complex scientific and engineering challenges. Global deep-tech investment exceeding $150 billion since the beginning of 2024 provides a clear indication of the scale of this movement.

The shift also reflects a broader belief that the next generation of transformative companies may come from the intersection of software and the physical world.

AI, robotics, energy, semiconductors, defence, biotechnology and advanced manufacturing are increasingly connected. As these technologies converge, the boundaries between technology categories become less meaningful from an investment perspective.

For Vantage52's audience of entrepreneurs, investors and internationally minded companies, this transformation carries a clear message.

The next major investment opportunities may come from companies solving some of the hardest problems in the physical economy.

Venture capital is moving toward those opportunities because AI has made more of them technically and commercially possible.

The new investment question is therefore moving beyond what software can scale.

It is increasingly becoming what technology can fundamentally change.