What Netflix, ESPN, and TikTok get right about AI

Abhishek Chettri
Technology5 mins read
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Netflix: Mastering the art of personalization

Ever noticed how your Netflix account looks nothing like your mom’s? While she’s being served period dramas and cooking shows, you’re knee-deep in dystopian thrillers and stand-up comedy specials.

That’s not an accident. It’s an intentional, finely tuned system that adapts to each viewer in real time.

Netflix uses AI-driven personalization to make every user experience feel unique.

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This goes far beyond “you watched this, so try that.” It involves optimizing thumbnails, predicting intent, and customizing which shows are promoted in each region.

This approach drives results. Over 80 percent of content watched on Netflix comes from machine learning recommendations.

These systems help the company save more than 1 billion dollars every year by improving customer retention. Personalized content performs exceptionally well, generating take rates that are 3 to 4 times higher than even the most popular titles.

What it means for brands:

AI does not replace creativity. It enhances how and when you deliver content. If you are a streaming platform or a sports content provider, personalization is your competitive advantage.


ESPN: Scaling content creation and delivery

You know that moment when a game ends, and the highlight reel is already on X or YouTube before you’ve even closed your streaming tab?

That’s not magic, it’s a system built to move at the speed of fandom.

ESPN uses artificial intelligence to automate sports highlight reels and generate real-time video clips. Their systems tag key plays, edit footage, and distribute content across digital platforms in near real time.

This kind of speed is not just efficient, it’s expected.

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ESPN has delivered hundreds of billions of insights for fantasy football alone. These insights are powered by natural language processing and predictive analytics. AI helps ESPN push high-quality content to fans across mobile, desktop, and broadcast platforms at scale.

What it means for brands:

If your fans are moving fast, your content has to move faster. AI gives you the ability to move fast and stay relevant without overloading your team.


TikTok: Building addictive engagement through AI

TikTok's For You page is driven by advanced AI algorithms that analyze user behavior. It monitors viewing time, replays, skips, and scroll speed to refine recommendations constantly.

This has made TikTok the most engaging social media platform. The average post sees a 2.5 percent engagement rate by follower count, and users open the app an average of 18 times per day.

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That level of engagement is built on the foundation of AI-powered content discovery.

What it means for brands:

You do not just need more content. You need smarter delivery. AI allows you to match the right content with the right viewer at the right time.


Your AI playbook starts here

The most successful platforms don’t guess what works. They measure, adapt, and deliver at scale. To replicate their edge, focus on building systems that personalize content and respond in real time.

Start by clarifying what “good” looks like for your audience. Then, design content pipelines that learn from interaction, not just intention. Be cautious of over-automating too early. Without clear benchmarks, it’s easy to amplify the wrong signals.

That’s why we built something different.

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Who it’s for:

Product teams planning or pitching major AI features

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You can get the exact AI framework trusted by billion-dollar teams to validate, pilot, and scale AI while avoiding the costly pitfalls that derail 80 to 90 percent of projects. Get in touch with us using the link below and we will send it directly to your inbox.


So, where do brands go from here?

If you’ve been treating content delivery, personalization, or audience targeting as afterthoughts, now is the time to flip that approach.

The strategies used by leaders like Netflix, ESPN, and TikTok are not just best practices, they’re fast becoming the baseline.

You do not need to overhaul everything at once. Start with one use case. One outcome. One variable worth improving.

We work with teams who want to do just that, quickly, practically, and without guesswork.

Kick off with a rapid pilot or an opportunity audit and see how far you can go with the systems you already have.

Category
Technology
Published On
13 Jun, 2025
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