The Four Reasons Why Legacy Media is Struggling to Adjust

 

Darren Campo, Adjunct Professor at NYU Stern School of Business and SVP of Programming and Content Strategy at the Food Network, shares four reasons why giant legacy media companies are struggling to adjust to the modern media landscape. He points to decentralized competition from social media platforms, as well as exorbitant costs to build a streaming library of content.

Darren’s Thoughts:

There are four reasons why traditional media companies are having such a hard time adjusting to the current environment. The first one is that we are in an advertising recession. The second one is TikTok. The third: trillion-dollar competition from Amazon and Apple. And the fourth: it’s very expensive to build a successful streaming service.

Netflix pointed this out in their Q3 earnings release where they said they are the only profitable streaming service with five to 6 billion in operating profits compared to what they estimate is 10 billion in losses from traditional media companies. With Netflix having forecast that for the competitors just a few weeks ago, it’s not surprising to see it show up in their results right now.

Follow us on social media for the latest updates in B2B!

Image

Latest

promoted
How to Succeed After Getting Promoted: Seeking Feedback, Acting with Intention, and Leading with Perspective
April 16, 2026

Stepping into a leadership role today isn’t just a step up—it’s a shift into constant visibility, where expectations arrive immediately and the margin for error narrows. As organizations flatten structures and demand faster decisions, newly promoted leaders are expected to deliver impact from the outset, often without the space to fully adjust. According to…

Read More
AI in business
A Practical Conversation About AI in Business: From Hype to Real-World Impact
April 15, 2026

Artificial intelligence has moved from buzzword to boardroom priority at a staggering pace. Yet despite widespread adoption, many organizations are still struggling to turn experimentation into measurable business value—some estimates suggest the majority of enterprise AI initiatives fail to scale successfully. As AI becomes “table stakes” across industries, the real challenge is no longer…

Read More
weekly drive-in
Metropolis: Weekly Drive-in
April 15, 2026

Metropolis “Weekly Drive In” reflects a new era of storytelling where AI meets real-world execution, turning everyday field performance into momentum. Centered on genuine conversions and local wins, the series highlights how the company is scaling not just through technology, but through visibility and shared recognition. In an emerging recognition economy, these updates act…

Read More
Drive In, Drive Out: The Rhythm of Metropolis
April 15, 2026

Behind the seemingly mundane choreography of a drive-in lies a broader story about how modern cities script behavior, turning even the simplest actions into rehearsed routines. What looks like repetition is really a quiet testament to systems designed for flow and control, where efficiency often outweighs individuality. In places like Metropolis, the rhythm of…

Read More