AI in sport is moving fast. Every week brings a new performance-analytics start-up, a new officiating pilot, a new generative fan product. The opportunity is huge, and the industry has been ready for a shared set of rules.

This week, the Olympic Movement set them. On 29 September 2026, the IOC launched its first Trustworthy AI Framework for the Olympic Movement, developed with Deloitte as its Digital Transformation Consulting Partner.

Our reaction is simple: bravo. The IOC and Deloitte turned a shared industry ambition into a concrete standard. They took the initiative. At N3XT Sports, we advise federations, NOCs, ministries and event owners on AI and data adoption. We see how much faster organizations move when the rules are clear. That is why we believe the whole sports ecosystem should now endorse these guardrails.

What was launched

The framework gives every Olympic Movement organization one common reference for using AI responsibly. It rests on seven principles:

1. Safety and security: AI systems must be protected and safe to use.
2. Personal data protection: athlete data is safeguarded, with clear organizational accountability.
3. Reliability: systems must perform dependably, especially where results are at stake.
4. Transparency: organizations explain where AI is used and who is responsible for outcomes.
5. Accountability: a named owner for every AI-supported decision.
6. Fairness: equitable treatment across athletes, competitions and fans.
7. Sustainability: long-term viability, not short-term novelty.

The principles come with a practical tool: a Trustworthy AI Checklist built on three steps. Identify the risks linked to an AI system. Assess how each principle is addressed. Then define improvement measures and resources.

The scope is wide. It covers International Federations, National Olympic Committees, event organizers, broadcasters and other Movement members, whatever their level of technical maturity. More than 200 contributors shaped it, including athletes, technologists, sports professionals and governance specialists.

The IOC’s head of AI, Alejandro Merino-Madrid, framed the intent clearly: AI can transform how athletes prepare, how sport is delivered and how fans experience the Games, but technology must serve sport, not the other way round.

Why the IOC and Deloitte deserve the credit

The IOC showed leadership for three reasons.

They moved first. This is the first AI standard built for the entire Olympic Movement. Regulation is evolving across the EU (whose AI Act entered its main enforcement phase in August 2026), the US, the Gulf and Asia, and the technology changes every quarter. The IOC chose to set a clear direction for sport.

They followed through. In April 2024, the IOC published its Olympic AI Agenda. It was already applied at Paris 2024, from athlete chatbots to online-abuse detection. Two years later, the IOC has turned that vision into principles, a checklist and a process. Vision has become governance.

They built it for the whole Movement, not just the top. It is designed for members with very different levels of technical capability. A small federation and a major broadcaster can work from the same reference.

Deloitte deserves its share of the credit. As the IOC’s long-standing management consulting partner and digital transformation partner, it also helped shape the Olympic AI Agenda and its roadmap. Turning a consultation of more than 200 voices into seven clear principles and a usable checklist is hard work. It requires both technical depth and an understanding of how sport is actually governed. The output is practical, not theoretical. That is the right standard for any advisory work in sport, ours included.

Guardrails are what make growth possible

We see this framework as an accelerator. Guardrails are what allow traffic to move fast.

Clear rules give everyone the confidence to scale. International Federations can deploy officiating tools knowing how to explain every result. NOCs can share athlete data with partners under a defined standard of acceptable use. Sponsors can invest in AI fan products with a clear view of governance.

The benefits compound:

• Faster procurement. Vendors know the standard they will be measured against. Buyers know what to ask for.
• More athlete trust. Athletes are more willing to share performance and health data when protection and accountability are written down.
• Credible integrity. When AI touches judging, scoring or anti-doping, transparency and a named owner protect the result, and the sport.
• Investor confidence. Capital flows to markets with clear rules. Sports-tech investors now have a reference point for governance due diligence.

This is the core of our position. The framework does not limit AI’s growth in sport. It makes that growth durable.

What we see in the field

The framework matches what N3XT Sports sees in its client work: the technology is ready, and governance is the next step.

At the ASOIF Sport Development & Education Workshop in Lausanne, N3XT Sports CEO Mounir Zok gave a keynote to more than 60 representatives from over 30 International Federations. His message was that AI should be an operational layer across the organization, not a standalone tool. Federations in the room were clear that progress depends on governance, trust and tools that serve coaches, officials and participants. The IOC framework now gives them that governance.

The numbers point the same way. The Global SportsTech Report 2026 found that 82% of sports organizations already use AI and 98% plan to use more. The next opportunity is to connect that adoption across departments under a clear leadership mandate. A shared framework gives boards a common standard to build it.

Leading sports organizations are already showing the way, both with frameworks and with AI partners:

• Australian Sports Commission and CSIRO: in March 2026 they launched a Guide for Responsible AI in Sport and a Roadmap for AI in Australian Sport, shaped by more than 100 representatives from sport, government and technology.
• Premier League and Microsoft: a five-year strategic partnership, signed in July 2025, brings a Copilot-powered Premier League Companion to 1.8 billion fans in 189 countries.
• Liverpool FC and Google DeepMind: together they built TacticAI, a corner-kick assistant published in Nature. Liverpool’s coaching experts preferred its suggestions 90% of the time.

The IOC framework now gives efforts like these a common global reference point.

Endorse it, then use it

A framework creates value through adoption. Applause is the first step. Endorsement and use are the next ones.

Every part of the ecosystem has a role. International Federations should run the checklist on every AI tool in officiating, scoring and athlete services before the next competition season. National Olympic Committees should map where athlete data flows to third parties and make the data-protection and accountability principles contract terms. Organizing Committees and event owners should build the seven principles into technology tenders for upcoming Games and major events. Broadcasters and media partners should disclose where AI is used in production, from automated highlights to synthetic commentary. Sponsors and technology vendors should show alignment with the framework in every pitch, because it will soon be a buying criterion. And leagues and clubs outside the Movement can adopt it voluntarily, because one shared standard serves everyone best.

That last point matters most. Professional leagues, clubs and commercial event owners can opt in, and many already have strong AI partnerships that would benefit from it. One common language for trustworthy AI helps all of sport grow together.

Our view

AI in sport is moving fast. That is exactly when leadership matters most. The IOC and Deloitte stepped forward and set the direction.

So, bravo. To the IOC, for turning the Olympic AI Agenda into real governance. To Deloitte, for helping make it practical. And to the more than 200 contributors who shaped it.