Industry's "Loose Ends" Set Stage for 2025 Media and AI Shifts

The year 2025, as dissected by Digiday editors, was not one of decisive victories but a complex tapestry of "loose ends" and delayed resolutions. While major industry shifts like potential Netflix-Warner Bros. Discovery deals, Omnicom's acquisition of IPG, and the evolving AI landscape dominated headlines, many anticipated developments--such as the TikTok U.S. spinoff and the full deprecation of third-party cookies--failed to materialize. This analysis reveals that the true consequence of 2025 lies not in what was finalized, but in the foundational shifts and unaddressed complexities that will inevitably shape 2026. This conversation is essential for industry leaders, marketers, and strategists who need to understand the downstream implications of these unresolved issues to gain a competitive edge in the coming year.

The Unfinished Business of Streaming Consolidation and the YouTube Specter

The future of television and streaming in 2025 felt decidedly incomplete, largely defined by the protracted saga of potential mergers and acquisitions. The looming question of whether Netflix would acquire Warner Bros. Discovery, alongside Paramount's sale to Skydance and subsequent attempts to acquire Warner Bros. Discovery, painted a picture of an industry in flux. This period of consolidation, however, masks a more profound, and perhaps more disruptive, shift: the ascendance of YouTube.

While the traditional "streaming wars" narrative focused on established players, YouTube quietly became the dominant force in watch time, surpassing even combined metrics from major streamers on TV screens. This shift is not merely a change in viewing habits; it represents a fundamental reordering of the media landscape. As Seb Joseph notes, the Netflix bid for Warner Bros. Discovery may be less about traditional streaming competition and more about "keeping pace with YouTube or trying to head off YouTube in some respect." The implications are significant: established media giants are now grappling with a platform that commands unprecedented user attention, forcing a re-evaluation of content strategy, distribution, and monetization. The delayed resolution of these industry-defining deals means that the competitive playing field is still being drawn, creating an environment where understanding the downstream effects of YouTube's dominance is paramount for strategic advantage.

"The streaming wars have an even bigger player that everyone has like everyone in the streaming wars has kind of been trying to ignore but can't ignore anymore and that's YouTube."

-- Kimeko McCoy

The "handoff year" between traditional TV and streaming, as described by Tim Peterson, is still underway, with upfront commitments showing a near 50/50 split. However, the true consequence of this transition isn't just the reallocation of ad spend; it's the emergence of new power dynamics. YouTube's sheer scale and its increasing aggression in pursuing advertising revenue through content licensing deals suggest a future where its influence will only grow, potentially dictating terms across the entire ecosystem. This creates a delayed payoff for those who can anticipate and adapt to this shift, while those clinging to old models risk being outmaneuvered.

Agency Models Under Pressure: From Financial Engineering to Strategic Partnership

The acquisition of IPG by Omnicom in late 2025 served as a stark indicator of the fundamental flaws within the traditional holding company model. Seb Joseph argues that this model has historically been driven by "financial engineering" rather than client needs, a dynamic reinforced by the stagnant share prices of many holding companies. The Omnicom-IPG deal, rather than signaling a new era of client-centricity, instead highlights the desperate need for these entities to evolve their business models to avoid relying solely on further consolidation.

The push towards "outcome-based remuneration" and automation, often touted as the future, faces significant headwinds. Clients, facing squeezed ad prices, are increasingly hesitant to pay for models that are not clearly tied to tangible results. This creates a critical tension: agencies must demonstrate value beyond traditional media buying, transitioning into "strategic partners" rather than mere service providers. This transition is complicated by the rise of tech platforms like Google and Meta offering white-label services, forcing agencies into a defensive posture to retain ad dollars.

"The large agency hold co model is broken in a lot of ways but it's really being sort of pressure tested in terms of how it's incorporating an ai and then how it's turning around and both charging and to your guys's point licensing out that tech for for future use."

-- Sarah Jerde

The economic implications of AI within agencies remain a significant "loose end." While 2025 saw initial case studies and experimentation, 2026 will be the year where the true value and cost of AI are assessed. Brands are questioning how much they are willing to pay, and whether they will increasingly bring AI capabilities in-house, bypassing agencies altogether. This creates an opportunity for agencies that can genuinely integrate AI to drive demonstrable outcomes, offering a delayed but significant competitive advantage over those who merely adopt the technology without a clear strategic application. The conventional wisdom that agencies are essential intermediaries is being challenged, pushing them towards a more technologically integrated, outcome-focused partnership model.

AI's Uncharted Territory: From Content Generation to the Uncanny Valley

The pervasive influence of AI in 2025 was undeniable, but its long-term consequences remain largely unmapped. The Disney deal with OpenAI, allowing for the use of Disney's intellectual property in AI-generated video outputs like Sora, signals a profound shift in content creation. This raises critical questions for brands: Will traditional marketing efforts become redundant if AI can generate content featuring beloved characters with ease? The industry's response, characterized by a "real big shrug," suggests a casual acceptance of this new reality, perhaps reflecting a broader shift towards more informal content consumption.

However, this casual approach belies deeper anxieties. The proliferation of "AI slop"--low-quality, AI-generated content--and ongoing lawsuits against AI companies for copyright infringement highlight the ethical and legal complexities. The emergence of "Answer Engine Optimization" (AEO) and "Generative Engine Optimization" (GEO) further underscores the industry's struggle to adapt. While these terms suggest a new paradigm for organic search, they largely replicate existing SEO strategies, indicating a lack of genuine innovation and a reliance on hypothetical scenarios until platforms like Google fully commit to AI-driven search.

"The question that that that i have is like how much of this is to woo advertisers right for it's kind of like because again there's been conversations about using ai to really curb how much creative work is done with hands on keyboards and how much of this and then i think disney and the open ai deal kind of really speaks to this of like putting those hands -- in putting that work in the hands of ai but on the other hand like how much of it is trying to get people users right comfortable with the concept of having ai in your feeds because ai slop is also something that's entered our side guys here too."

-- Seb Joseph

The pivot to AI video, with advancements in tools like Google's Veo 3, Coca-Cola's AI-generated ads, and Meta's Vives 2, pushes the industry closer to the "uncanny valley." While this offers potential cost savings for advertisers, it also risks alienating audiences accustomed to human-generated content. The delayed payoff here lies in understanding how users will ultimately react to AI-driven content. Brands that can navigate this space responsibly, leveraging AI for efficiency without sacrificing authenticity, will build a sustainable advantage. Conversely, those who rush into AI-generated content without considering the audience's comfort level may face a backlash, demonstrating how immediate gains can lead to long-term reputational damage.

Key Action Items

• Immediate Action (Next Quarter):
  • Conduct an audit of current agency contracts to identify opportunities for renegotiation based on outcome-based remuneration.
  • Initiate pilot programs for AI integration in content creation and marketing workflows, focusing on measurable impact and ROI.
  • Analyze YouTube's content and advertising strategies to identify potential partnership or competitive response opportunities.
• Short-Term Investment (Next 6-12 Months):
  • Develop a clear strategy for navigating AEO/GEO, focusing on core SEO principles while experimenting with new platform-specific approaches.
  • Explore content licensing opportunities with AI companies, ensuring clear terms and fair compensation for intellectual property.
  • Invest in training for creative teams to leverage AI tools effectively, emphasizing ethical considerations and quality control.
• Long-Term Investment (12-18 Months and Beyond):
  • Re-evaluate the core agency model, considering a shift towards specialized strategic partnerships rather than broad holding company services.
  • Develop a comprehensive AI content strategy that balances efficiency with audience trust and brand authenticity, anticipating user reactions to AI-generated media.
  • Build direct relationships with content creators and platforms to mitigate reliance on traditional distribution channels, particularly in light of YouTube's growing influence.