How the Brooklyn Nets CFO is measuring returns on AI

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Brooklyn Sports & Entertainment CFO Peter Stern, who oversees finance for the NBA’s Brooklyn Nets, the WNBA’s New York Liberty and downtown Brooklyn’s Barclays Center is already putting a number on some of the changes his finance team is seeing from their use of artificial intelligence. 

Stern, who will be speaking on a sports and entertainment panel at CFO Live: The Future of Finance on Sept. 30, said his team spent roughly 12 hours building an AI agent that autonomously produces a post-game report containing hundreds of operational and financial data points. The report previously took an employee about two and a half hours to complete after each Nets and Liberty home game.

In a recent sit-down with CFO.com, Stern discussed how his investing background at Alibaba shaped his approach to capital allocation, the financial impact of the NBA’s new media rights agreement, why he views the crosstown rival New York Knicks’ recent success as a tailwind for basketball in New York and shares how teaching financial literacy to incarcerated individuals has changed his approach to leadership.


Peter Stern Brooklyn Nets CFO

Permission granted by Brooklyn Sports and Entertainment

 

Peter Stern

CFO, Brooklyn Sports & Entertainment

First CFO Position: 2020

Notable previous employers: 


This interview has been edited for brevity and clarity.

ADAM ZAKI: You have an interesting investing background coming from Alibaba. What was the adjustment like going from investing to operations?

PETER STERN: At Alibaba, I was fortunate enough to start their U.S. investment team, and we made only strategic investments, not financial investments. So we were investing in companies to bring their technology to China or to bring our capabilities to the United States, and we very much got into operations.

While I had kind of an investing label on my business card, I did have a bunch of exposure to operations. When I came here to Brooklyn Sports and Entertainment, I built on some of those skills that I had from an ROI perspective.

The investing stuff was very helpful to me coming here, and some of our bets at Alibaba were long-term in nature. There are kind of three different buckets if I think about capital allocation and investments here. There’s near-term ROI that’s measurable. We are in the midst of a $150 million arena renovation project, some of which has immediate ROI, some of it has longer-term ROI, and some of it, the third bucket, is immeasurable ROI.

I know in my heart that this helps drive fan engagement and build fandom, but it’s difficult for me to quantify that with numbers.

Professional sports and the CFO role in it have changed tremendously. What do you think is most different about your day-to-day compared with someone who held a similar role 20 or 30 years ago?

There are two items I would call out. First is adjacent opportunities. So in the timeframe you mention, whatever basketball team it was, whatever arena it played in, the focus was on that team and that arena. How much food and beverage are we selling when people come into the arena? What are the per caps?

Now, teams are thinking about how they can make their customers’ experience better before the game and after the game. Should I have a restaurant down the block? Should I have an entertainment opportunity after the game? You’ve seen that done in Chicago with the Cubs, for instance, where the organization literally bought up the land all around, or what the Buffalo Bills are doing with new mixed-use facilities that they’re building.

The second bucket I would call out, unsurprisingly, is technology. I probably would have said that same thing three years ago or four years ago, but now it is so pronounced. And, of course, AI is driving a bunch of this.

I’ll give you an example. We put out a game flash after every game that’s circulated to senior management here. It’s a one-sheeter that has hundreds of numbers on it. How many people attended? What were the ticket prices? What were the per caps? What was the wait time? 

It takes a member of my team about two and a half hours to put the report together. We built an AI agent to effectively create the same report, and the agent does this autonomously. So you think about it: I have roughly 40 home games on the Nets side. I’ve got roughly 20 home games on the Liberty side. I’m using round numbers here, but that’s 60 games times two and a half hours.

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