Media et divertissement

From platform dependency to owned audience relationships

Media and news Market insight report Header

Executive Summary

Media and entertainment organizations that move from platform dependency to owned audience relationships, while managing creator disruption, AI-driven discovery, and monetization pressure will be the ones to capture the value that volume alone no longer delivers.

Challenges and opportunities arise at three levels:

Brand: Trust in media is stable but frozen, and part of that freeze is self-inflicted. Media brands that rebuild genuine editorial independence, narrow their positioning to dimensions that they can credibly own, and make individual voices into managed institutional assets will convert residual trust into authority.

Experience: Audiences are not disengaged. They are overwhelmed, avoidant, and poorly served by products built for acquisition rather than return. Opportunity lies in rebuilding the habit infrastructure, whether it's newsletters, briefings, personalized alerts, or any elements that turn occasional consumption into the direct, frequent relationships retention actually requires.

Technology: AI investment is flooding into production while the audience relationship layer stays underfunded. The organizations pulling ahead are building the first-party infrastructure that makes every interaction compound, both for news publishers and streaming platforms alike.

The market reality: Volume without ownership

Media and entertainment are not shrinking industries. But growth in consumption is increasingly decoupled from growth in direct value capture, and the gap is widening in favor of platforms, aggregators, and creators who own the interface where audiences now live.

News media revenues are growing in aggregate, but that growth conceals a sector in structural transition: print is in accelerating decline, digital subscriptions have hit a ceiling in most markets, and the intermediaries controlling discovery are capturing a growing share of the value audiences generate.
In entertainment, revenues are expanding but so is the churn, the price fatigue, and the discovery friction, pushing audiences toward passivity and platforms toward consolidation strategies that further concentrate power away from content owners.
The platforms and creators gaining ground are winning on relationship quality: faster personalization, stronger identity expression, more responsive feedback loops, while legacy media organizations optimize for reach and production scale.
Audience trust in established media brands remains meaningfully higher than trust in social platforms and AI-generated content, but that advantage is not being converted into direct relationships, payment, or defensible audience equity at anything like the rate it should be.

Most of the industry agrees that the old playbook no longer works. Audiences have more ways to consume content than ever, yet media organizations have fewer direct relationships to show for it. Platform algorithms, creator ecosystems, and AI-driven discovery have each taken a share of the interface, and the window to reclaim it is narrowing.

The audience is still there. The direct relationship is lost.

Media organizations are not suffering from low demand. They are suffering from a structural failure to convert that demand into a direct, logged-in relationship that generates first-party behavioral data that the publisher controls and that can then be turned into revenue. The debt and valuation pressure bearing down on legacy media is not a financing problem. It is the financial consequence of a decade of neglect, which unfortunately peaked at the same moment that AI-driven discovery disrupted the referral model that papered over it.

Legacy media valuation multiples are down more than 20% since 2021, with a steep debt maturity wall arriving between 2026 and 2028
Spending on new product development among publishers fell from 13% of total costs to 7% in a single year, precisely when investment in direct audience relationships is most urgent
37% of Europeans access news primarily via social media, up 11 points in two years
In the US, social and video networks have overtaken both TV and news websites as primary sources for the first time
56% of Gen Z and 43% of millennials in the US rate social platform content as more relevant than traditional media output

The gap between consumption and ownership is a compounding liability

The failure to convert audience demand into direct relationships is an accelerating liability. Every year spent optimizing for referral traffic sends behavioral data to intermediaries rather than to the media brand. Every subscriber reacquired through discount rather than habit is a relationship that never deepens. As AI-driven discovery increasingly answers queries without sending users anywhere, the referral model that has been underwriting digital publishing for a decade is in total structural decline.

The audiences sitting between high consumption and low payment are not waiting. They are being recruited by creators and platforms who are already building the infrastructure that media organizations are still debating. And these habits formed now will be structurally harder to disrupt later.

The path back runs through the same move at every level: A brand narrowing from generic presence to owned authority, experience redesigning from acquisition logic to habit infrastructure, technology shifting from production efficiency to first-party relationship infrastructure. Three dimensions of one bet, that direct relationships, built deliberately, are worth more than the reach that replaced them.

Read on to explore how Media, news and entertainment organizations can align brand, experience, and technology to overcome these challenges.

The new brand imperative: From presence to recognizable authority

The challenge: Media brands are losing the authority they assume they still hold

Part of the trust freeze towards the media is earned. Where editorial independence is compromised by ownership interests, audiences have responded rationally by migrating toward sources that feel less mediated, even when those sources are less rigorous. That migration created the opening that creators now occupy. They reach audience figures that are comparable with national media brands and monetize them directly, cutting out the institutional layer entirely. In entertainment, the same logic holds: studios are losing ground, not to worse content, but to creators without the baggage of legacy and the platforms subsidizing entertainment from other profit pools.

The deeper consequence is that truth itself has fragmented. AI-generated content, algorithmic amplification, and the collapse of shared information references have left the majority of audiences unable to distinguish between what is real and what is not. Some have stopped trying, consolidating around ideology-first voices at the expense of trust-neutral ones. Yet the same fragmentation increases the value of outlets that can demonstrably help audiences navigate it. For those willing to own that position explicitly.

The creator economy reached $205 billion globally in 2024, with Patreon processing over $2 billion annually and Substack surpassing $450 million in gross writer revenue.
Trust in news stable at 40% for the third consecutive year, 4 points below its pandemic peak; down 16pp in the UK and 15pp in Germany since 2015
58% of news audiences worldwide say they are worried about what is real and fake online, with concern highest in the US at 73%
Fox News now holds 68% of the cable news share in the US, with primetime ratings up 14% in 2025 while CNN is down 37% and MSNBC down 41%
77% of news influencers have no prior journalistic experience; 62% do not vet accuracy before sharing with followers
Trusted news brands remain the most frequently named source for verifying what is true or false online (35%), ahead of social platforms (16%), across all age groups

Solutions to explore

Narrow brand positioning to defensible dimensions of authority

Pick a small number of dimensions that the brand can own distinctly, whether it’s a beat, a format, a community, or a point of view, and align every editorial, product and commercial decision around them. Brands defined around specific dimensions can command payment in ways that broad claims about quality or trust never will.

Make editorial voice a visible and managed brand asset

Build explicit strategies for how audience relationships formed around a specific journalist can translate into institutional equity through co-bylines, editorial franchises, and succession planning. Manage individual voices as deliberate brand assets, rather than independent ones. The goal is not to make voices feel more institutional. It is to ensure the institution benefits from the trust that those voices earn, rather than losing it entirely when they leave.

Encode brand authority for AI-mediated discovery

Build structured content APIs, explicit provenance metadata, and named authorship signals into publishing infrastructure. Do it now, before AI aggregators solidify how they read and rank content sources. Organizations that encode their authority into that layer will be recommended by systems they don't control. Those that don't will be reduced to undifferentiated citations.

What should leaders do next?

Define the two or three dimensions of authority that the brand will own. Eliminate generic claims from all positioning. Map how individual editorial voices reinforce, rather than compete with institutional brand equity. Audit content and metadata architecture for structured brand signals in AI-driven discovery environments.

The new experience imperative: Design for the return visit, not the first click

The challenge: Media products are built for acquisition in an era where the crisis is retention

Audience decline is the behavioral endpoint of poor experience design, not disinterest. What is failing is the experience infrastructure that should convert consumption into habit, and habit into revenue. But when a product fails to learn from usage and adapt, it loses the next visit before it ever has a chance to earn it.

This pattern is consistent across news and entertainment outlets: high consumption volume, low direct engagement depth, chronic underperformance on the behavioral signals like frequency, recency, session depth, the ones that predict who stays and who pays. In streaming, discovery has become a friction event: the paradox of choice across fragmented platforms leaves users passive rather than loyal, creating the conditions for chronic reacquisition, rather than durable relationships. As a consequence, the industry is perpetually reacquiring the same customers rather than solving the frictions that drive them out.

Annual subscribers are worth 60% more than monthly counterparts at the end of three years, and the revenue gap between cohorts compounds dramatically over time
WSJ's Project Habit found that a subscriber's likelihood to adopt a new habit is halved by Day 50 and plateaus after Day 100, making the first 100 days the only window that reliably shapes long-term retention. After restructuring onboarding around these findings, 8 out of 10 new subscribers took at least one retention-driving action during onboarding.
Across 670 news sites tracked, 71% of paid subscribers visit at least every other day, while only 4% of pageviews come from once-a-month visitors.
42% of streaming subscribers churn regularly, and viewers spend more than 11 minutes on average deciding what to watch, and almost 50% say they would spend more time on streaming video services if it was easier to find content
66% of news audiences do not pay for news, yet 42% of podcast listeners say they would pay for news podcasts they enjoy.
39% of US adults reach for their smartphone first for news each morning, making it the first interface for such usage

Solutions to explore

Redesign entry points around intent, not inventory

Redesign front-door experiences around what audiences are actually trying to do, whether it’s catching up quickly, going deep, or following one story, rather than presenting a single undifferentiated content list. In streaming, build discovery architecture that helps audiences maintain a content relationship across sessions. Audiences that find their intent served on arrival, do come back.

Build habit infrastructure before building features

Friction drives audiences out; the absence of habit keeps them from coming back. Reducing friction without building habit infrastructure only lowers the reacquisition cost. Habit infrastructure is what keeps loyal audiences connected between major content moments. When designed around these, trial structures consistently outperform front-loaded discounts on long-term retention.

Design around behavioral context, not assumed audience identity

Build actionable pathways that allow audiences to actually do what they are trying to do in a given session. Serve that intent directly by introducing explicit intent signals at entry points such as format filters, topic-based briefings and catch-up modes. Demographic proxies flatten the real diversity of need within any segment. Behavioral signals reveal it.

What should leaders do next?

Shift product dashboards from page views to visit frequency, recency, and depth. Redesign at least one high-traffic entry point around explicit user intent, rather than just content inventory. Map habit infrastructure and assess whether it is designed to build return behavior or drive one-time clicks.

The new technology imperative: AI for audience equity, not just operational efficiency

The challenge: Investment is concentrated at the production layer, while the audience relationship remains underdeveloped

AI adoption in newsrooms is accelerating across automation, translation and content repurposing, but investments remain concentrated at the production layer rather than on audience relationship. That misallocation matters, because the real competitive advantage that AI enables is not the efficiency gains: it is the compounding of behavioral intelligence over time. All the more so when audiences are actively skeptical of production-layer AI, which makes the misallocation doubly expensive. Every session on intermediated infrastructure feeds intelligence to platforms, not publishers. Meanwhile, AI-powered search simultaneously dismantles the referral model that had been papering over that gap until now. The window to build an alternative is narrowing.

For streaming platforms, the infrastructure gap takes a different form. They own their data; the problem is how it is used. Recommendation systems built on accumulated behavioral history know what audiences watched last week, but they are far less equipped to read what those audiences are trying to do right now. This gap makes discovery feel like friction, and it remains an active research frontier even for the most sophisticated operators in the category.

Nearly 90% of publishers report that their newsrooms are being transformed by generative AI, while only 12% of audiences are comfortable with news made mostly by AI even with a human in the loop
Audiences instead expect AI to reduce cognitive load: 27% want AI-generated news summaries, 24% want translations, 21% want better story recommendations
Google's global search query share fell below 90% for the first time since 2015, leading to a 10 to 25% year-over-year decrease in news website visitors
Facebook referral traffic is now less than a third of its 2020 peak, with X down 75% since 2019
Programmatic CPMs declined 17% year-over-year in Q1 2025 and over 58% of Google searches now result in zero clicks
Commerce media reached $178bn in 2025, surpassing total TV ad revenue ($167bn) for the first time — a shift that benefits platforms with rich first-party behavioral data far more than media brands building on intermediated infrastructure
Publishers deploying AI-driven audience models are pulling ahead on lifetime value: the Financial Times' AI paywall drove a 290% increase in conversion rate and a 78% uplift in subscriber lifetime value
Research on Netflix viewership data shows that replacing its current recommender with a popularity-based algorithm would reduce engagement by 12%

Solutions to explore

Make the logged-in relationship the organizing principle of your technology roadmap, not one initiative among many

Every session on an owned platform compounds into first-party behavioral data, personalization capability, and retention leverage. Every session on an intermediary platform does the same, but for themselves. Protect your open ad inventory, while converting high-intent audiences into logged-in relationships, and treat that growth as the leading indicator of revenue stability.

Deploy AI on first-party infrastructure, not borrowed signals

AI investment compounds into competitive advantage only when it runs on the data that you control and use to serve audiences directly. Shift deployment toward audience-facing applications, such as summarization, personalized entry points, contextual recommendations, which are built on first-party behavioral data rather than platform signals. On governance, the goal is not to recover trust through transparency: the data does not support that. It is to define what AI is never permitted to do before a breach forces that definition in public. Its absence further accelerates the loss of trust that audiences are already withdrawing.

Build for in-session intent, not just behavioral history

For streaming platforms, the next infrastructure frontier is real-time intent modeling at the session level. Recommendation systems that are built on historical behavior know what audiences watched last week, butthey cannot read what those audiences are trying to do right now. Building the infrastructure to capture and act on in-session signals is the step that converts behavioral data ownership into a genuine discovery advantage and turns passive browsing into a served experience.

What should leaders do next?

Identify your highest-traffic unlogged entry point and set a conversion target on it. Shift the next AI investment cycle toward one audience-facing application built on first-party data. For streaming platforms, focus on closing the gap between historical recommendation and in-session intent to seize retention value.

AREA 17 helps you face this new paradigm

Media organizations have never reached more people, and rarely owned less of the relationship with them. The organizations that recover or enhance that relationship will be those capturing the significant share of audience value that sits unclaimed.

The ones getting there are treating brand, experience, and technology as one system. They are doing it differently: positioning around what they can genuinely own, designing for the return visit rather than the first click, and building the first-party foundations that make direct audience relationships compound over time, rather than leak to intermediary platforms.

AREA 17 combines strategic consulting with hands-on product development, working with media and entertainment organizations to think, design, and build the platforms that:

Turn brand authority into direct audience relationships, moving from generic reach and platform presence to specific and defensible editorial positioning, making individual voices and institutional brand reinforce each other, and encoding authority into the content architecture that AI-mediated discovery increasingly depends on.

Convert episodic consumption into retention by capturing habits, redesigning entry points and consumption journeys around audience intent and identity, building the infrastructure that frequency and retention actually require, and shifting success metrics toward the behavioral signals that predict who stays.

Activate first-party data as audience equity, prioritizing logged-in relationships as the foundational response to platform and AI referral disruption, making the direct experience feel simpler and more relevant, and embedding governance frameworks visible to audiences as proof of editorial standards.