About

AI on the Field

A research index on artificial intelligence in sport.

Why this exists

The intersection of AI and sport generates a constant stream of press releases, partnership announcements, and vendor claims. Most of it is noise. Some of it matters.

AI on the Field exists to separate the two.

This is not a news site. It does not cover rumours, forecasts, or opinion. It tracks real implementations — partnerships with a named technology stack, a declared deployment scope, and a verifiable source. Every case published here has happened. Every case is evaluated for what it actually does, not what its press release says it does.

The site is curated by Lamberto Siega, a Sport and Entertainment senior expert and researcher writing on sport, business and technology. New cases are published every 15–30 days, grouped in numbered issues.

How cases are selected

Time window

Each issue covers cases published in the preceding 15–30 days. Older announcements are excluded unless they surface new verified information.

Value chain coverage

Every issue aims to cover at least 5–6 distinct areas of the sport industry. Cases are not concentrated in a single category. The areas tracked are:

Fan engagementMedia & broadcastPerformance & dataInfrastructureTicketing & commerceData rightsScoutingEsportsAthlete healthStadium experience

Industrial relevance

A case is selected only if it has concrete industrial relevance: depth of implementation (not vague announcements), an explicit technology stack, and replicability — other organisations in the sector could plausibly adopt the same approach.

Source quality

Cases are sourced from official press releases by clubs, leagues, or federations; official vendor announcements; broadcaster or media rights holder communications; and trade publications with a cited primary source. Opinion pieces, undated content, and generic blog posts are excluded.

Project status

Both live deployments and formally announced rollouts with a named partner and explicit stack are included. Excluded: generic AI exploration statements, pilots without an identifiable technology partner, and cases without a verifiable publication date.

What you find in each case

Tagline — A single sentence describing the innovation in plain terms.

Description — 2–4 sentences covering what the implementation does, how it works, which technology stack is involved, and what measurable outcome is declared.

Why it matters — 2–3 sentences of critical analysis. Why this case is relevant to the industry. What risks or open questions it raises. The tone is evaluative, not celebratory.

What this site is not

Not a vendor directory
Not sponsored or affiliated with any of the companies covered
Not a forecast of where AI in sport is going
Not exhaustive — cases are selected, not scraped

AI on the Field is updated every 15–30 days. lambertosiega.com