Business Insider · 29 Oct, 20:40 · Business briefing

How a co-owner of the New York Giants is using AI to build a women's sports powerhouse with Gotham FC

A co-owner of the New York Giants is leveraging artificial intelligence to strengthen Gotham FC, aiming to establish a dominant force in women’s professional football.

What it means for you ↓ Courses for this story

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

A co-owner of the New York Giants is leveraging artificial intelligence to strengthen Gotham FC, aiming to establish a dominant force in women’s professional football. The initiative integrates advanced data analytics and machine learning into player recruitment, performance tracking, and strategic planning. This approach highlights a broader trend of technology adoption within sports franchises seeking competitive advantages. By applying AI-driven insights, the organisation aims to optimise operational efficiency and enhance on-field results, signalling a significant shift in how modern sports entities manage talent and strategy.

Employer demand for AI in Sports skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This shift signals that data literacy is no longer optional for sports professionals. You must prioritise skills in AI strategy and data analytics to remain relevant. Coaches, scouts, and executives who can interpret algorithmic insights will command higher value. If you work in sports management, begin upskilling in machine learning applications immediately. Look for certifications in AI strategy to understand how predictive models influence recruitment and performance. Non-sports professionals should note this as a template for industry disruption; any sector relying on talent evaluation is vulnerable to similar optimisation. Proactively integrate data-driven decision-making into your current role. Demonstrate how you can leverage technology to improve efficiency or outcomes. Ignoring this trend risks professional obsolescence as organisations increasingly favour candidates who bridge the gap between traditional expertise and digital innovation.

For this story, the fields that convert it into pay are AI in Sports, AI Strategy, Data Science and Leadership — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

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