For Nicole Junkermann, women’s sport is approaching a fundamentally different commercial model

The conversation around women’s sport has long centred on three recurring themes: visibility, investment and access. Those questions have not disappeared, but they no longer capture the full scope of what is changing. The more significant shift is structural – not in how women’s sport is perceived, but in the technological and commercial conditions under which it now operates. For Nicole Junkermann, that distinction matters because it changes what is actually possible, not just what is desirable.

Artificial intelligence is part of that shift, though not primarily through its effects on athletic performance. Its more consequential impact is on how competitions are organised, how audiences are understood and how commercial models are designed. The traditional architecture of sports media – in which visibility flowed through broadcasters and sponsors, and leagues operated within systems built around men’s sport – is losing its hold. Digital platforms began eroding that model years ago. AI is accelerating the process by making it possible to build direct, data-informed relationships with audiences at a scale that did not previously require the intermediaries on which women’s sport was structurally dependent.

How nicole junkermann sees technology reshaping the operating conditions of the market

For athletes who have historically received less commercial backing than their male counterparts, the implications are significant. The gatekeepers that once controlled access to audiences and sponsorship are becoming less central to career viability. Some of the most recognisable figures in sport have already moved in this direction – building investment portfolios, media presences and commercial operations that function independently of the traditional league and broadcast infrastructure. The boundary between athlete, entrepreneur and media operator is becoming progressively harder to define.

Nicole Junkermann, whose Gameday platform within NJF Holdings invests in sports leagues, media rights and technology-driven fan engagement, has argued that the intersection of artificial intelligence, health science and sport will define the next significant growth phase for the industry. Her broader investment portfolio – which includes Owkin, whose federated approach to AI-driven medical research has attracted partnerships with NHS institutions, and positions in high-performance computing infrastructure – reflects a consistent focus on the convergence of data, biology and human performance.

That convergence has particular relevance for women’s sport. Female physiology has been substantially underrepresented in sports science research, a gap that has had material consequences for how women athletes train, recover and manage the long-term demands of professional competition. AI-driven health modelling and personalised performance analytics offer a practical route to closing that gap – improving outcomes for athletes while simultaneously generating the kind of longitudinal biological data that Junkermann has identified as one of the most valuable and underexploited assets in the broader life sciences landscape.

The structural question Nicole Junkermann sees defining the next phase of women’s sport

The deeper issue is one of ownership and control. Data is becoming the central organising principle of how sport is monetised and experienced, and the question of who collects, analyses and acts on that data will increasingly determine where influence sits. Women’s sport has historically operated within systems designed around different priorities – legacy structures with limited commercial incentive to place it at the centre. New technologies are creating the conditions for alternative models, giving leagues, investors and athletes themselves greater capacity to build platforms on their own terms rather than within inherited frameworks.

That raises questions that go well beyond broadcast deals or sponsorship agreements. Who owns performance data? Who controls the distribution infrastructure? And who captures the economic value generated as that infrastructure becomes more sophisticated? The answers will shape the sector’s trajectory more durably than any individual competition or rights negotiation.

Funding disparities, governance gaps and uneven commercial support remain real. Artificial intelligence does not dissolve those structural challenges. What it does is alter the terms on which they operate – widening access to tools that were previously available only to well-resourced organisations, strengthening the direct relationship between competitions and their audiences, and making growth models viable that would not previously have been worth attempting.

What Nicole Junkermann’s investment thesis means for leagues building outside the traditional system

The most consequential aspect of this moment, in Junkermann’s analysis, is not any single technological advance but the broader shift in what women’s sport can build for itself, independent of the systems it once had to work around. Leagues that move early to own their data infrastructure, build direct audience relationships and design commercial models around that ownership are positioning themselves differently from those still operating within legacy frameworks waiting to be prioritised.

That gap between the two approaches will widen as the tools become more sophisticated and the economics of direct audience ownership become clearer. For Nicole Junkermann, that shift represents the most significant structural opportunity in sport that most institutional investors have not yet priced correctly.

The editorial unit