Media companies, tech giants, and retailers could face dramatic shifts if sports viewership declines, Meta loses billions in youth safety lawsuits, or AI transforms every product placement into personalized ad inventory.

Sports rights spending is on track to hit about $70 billion a year by 2030, and every dollar of it comes out of something else. "The amount that media companies are paying for sports rights continues to climb. It's gonna be about $70 billion a year by 2030, and it's taking away from what they do otherwise," said our analyst Ross Benes on a recent episode of "Behind the Numbers." Three scenarios below look unlikely today. Each would rewrite how these businesses operate.

The analysts weighed each scenario against its ripple effects across advertising, entertainment, and technology.

What if sports ratings started to decline?

Media companies have never leaned on sports programming this heavily, which means they have never been this exposed. Viewership does not have to fall for the damage to start. A consistent flattening would be enough to change the investment calculus for advertisers and media companies alike.

Sports rights deals are priced on the assumption that viewership keeps rising, and media companies are set to spend roughly $70 billion a year on them by 2030. That money has to come from somewhere. At NBCU and Disney, it comes out of films and TV shows, which raises the pressure on sports to deliver.

"Everything, the calculus around sports investment for advertisers, for media companies, all that changes if you even start to see a consistent flattening, let alone a shrinkage," Benes said.

The decline may already be underway and hidden in the numbers. Nielsen's methodology changes, which added co-viewing and out-of-home (OOH) viewing, mean anything short of a 10% increase in reported viewership likely masks an actual decrease. Add the pressures that could push younger audiences away, heavy gambling integration and 16 minutes of ads per game, and media companies are exposed on the one kind of content they have bet the most on.

What if Meta has to pay $1.4 trillion in youth safety lawsuits?

Four states (California, New Jersey, Colorado, and Kentucky) have filed youth safety lawsuits against Meta that could theoretically total $1.4 trillion if all claims succeed at maximum amounts. That figure nearly equals Meta's $1.5 trillion market cap.

While Meta will likely fight, appeal, and settle these cases over years rather than pay the full amount, the company faces over 2,400 similar cases.

"In a realistic situation they would never have to pay this much," said our analyst Marisa Jones. "But if they settle on all these cases or if the majority of these cases are successful, that's still a huge amount."

The bigger threat to Meta is not the payout but the product. A court finding of addictive design could strip out autoplay and algorithmic feeds, the features that keep users on the platforms and justify premium ad rates. Public opinion is not on Meta's side either: nearly 60% of US adults support social media bans for youth audiences, and only about 20% oppose them. Stack that against Meta's AI spending, and settlements of even a few million per case start to bite.

What if AI turned every product placement into personalized ad inventory?

Two people could watch the same scene and see different candy on the table. One viewer sees Reese's Pieces, another sees Kit Kat, and neither knows the difference. That is what retail media data paired with AI-powered virtual product placement makes possible.

"There is a world with AI technology that we're able to use the retail media data to really customize so that we can measure if it worked," said our analyst Suzy Davidkhanian.

Pieces of this already exist. P&G and Albertsons used consumer insights data to build micro-dramas, and Chick-fil-A, Lego, and Barbie have all tested branded entertainment. One vendor at Commerce Next is further along, building ad inventory for sitcoms such as Friends, though only for older shows rather than new scripted content.

This approach differs from existing shoppable media, where viewers can click to purchase items they see on screen. Instead, it would use retail media data to determine which products individual viewers see based on their shopping habits and preferences. Ancillary props like cereal boxes or soda cans that aren't integral to storylines could be switched out programmatically. The model would likely start with household-level targeting before evolving to one-to-one personalization, creating measurable ad inventory from previously static background elements.

Listen to the full episode.

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