By Mike Napodano

Predicting media industry trends can be a tricky undertaking, and you have to assume a wide margin of error.  But attempting to understand where the winds are blowing is not only fun, it’s also a necessary part of being in our business.

The year ahead will be a reminder that our business is driven less by disruption for disruption’s sake and more by the operational choices we make about how to sell, deliver, and measure premium content. Each trend reflects a broader truth: the technical architecture of media is now inseparable from the commercial architecture. How companies modernize that connection will determine who leads the next phase of growth.

1. Broadcast Reorganizes, Not Retreats

For years, it has been fashionable to declare broadcast’s decline as inevitable. But the data tells a story of growth, and the demand for premium reach remains one of the most durable forces in the advertising economy. What is changing is the machinery underneath it. The traditional broadcast workflows that defined the last several decades, like rigid traffic systems, disconnected datasets, and manual bridging between sales and execution, are ill-suited for a market where audiences move fluidly across platforms.

I’ve met with several broadcasters that see this firsthand. Their linear business continues to command scale and value, but the surrounding processes no longer match the pace or the precision required to compete in a multi-platform world. The opportunity in 2026 is not to abandon linear, but to reorganize it. The companies gaining momentum will treat linear as the structural anchor of a wider commercial strategy that connects the inventory, data, and pricing of broadcast with the flexibility and insight of digital delivery.

That requires moving past siloed systems and into a model where linear inventory operates in concert with digital. Rather than forcing digital logic into broadcast systems or retrofitting broadcast models onto streaming, companies are building a connected, data-driven revenue environment that allows linear’s premium value to extend across every channel that matters. Broadcast’s future is not a smaller version of its past. It is a more interoperable and commercially agile version of itself.

2. Linear Streaming Becomes the Core Operating Model for TV

Streaming has entered a phase that would have seemed unlikely five years ago: it is becoming structurally more linear. Not in format or in audience behavior, but in the underlying economics. What is emerging across both broadcaster-led platforms and digital-first streamers is a hybrid model, linear streaming, that blends fixed placements, up-front commitments, and event-driven demand with digital delivery, dynamic fills, and real-time optimization.

This isn’t convergence in the loose, industry-buzzword sense. It is a practical response to how premium video is actually sold and consumed. Live events illustrate this better than anything else. A football game, awards show, or talent competition may stream on multiple devices, but the commercial value still depends on predictable positions, guaranteed units, and strong controls around scheduling and separation. At the same time, the long tail of inventory around those events often performs better when delivered dynamically to richer audience segments.

As linear streaming becomes more widespread, AI becomes the layer that strengthens the model.

In 2026, this hybrid model stops being a transitional bridge and becomes the operating baseline for the TV business. Media companies that succeed here are building workflows that fully support blended convergence, not linear and digital living side-by-side but true unification of inventory management, pricing logic, scheduling, and execution. A deal between the media company and the advertiser should be able to include both linear spots and digital impressions in one unified structure. A unified sales-and-delivery platform should forecast performance and generate both the linear log instructions and the digital delivery instructions from one cross-platform deal.

Linear streaming is less about replacing TV and more about reconstructing its commercial framework for an environment where delivery channels may vary but revenue expectations do not. Companies that master this will set the tone for how premium video is monetized in the next decade.

3. AI Moves From Curiosity to Commercial Engine

Every industry talks about AI. Media has been more cautious than most, partly due to entrenched systems and partly because of the industry’s long-standing “prove it to me” mindset. But in the last 12 months, the ground has shifted. Early proofs of concept, whether in live-commercial decisioning, workflow automation, sales approvals, or trafficking, have provided measurable value. Not theoretical upside. Not demo-stage potential. Real acceleration in processes that directly influence revenue.

What makes 2026 different is where AI is showing its impact. It’s not just in the consumer-facing innovations that tend to dominate headlines (although those are important). It’s also in the operational backbone of the business. AI can evaluate constraints across linear schedules and digital placements, surface optimal pricing scenarios, reconcile discrepancies across traffic logs and ad-server outputs, and reduce turnaround time on complex orders. It improves the precision of planning and the reliability of execution. And it does so without requiring companies to rip out their legacy infrastructure, which is an advantage for organizations with decades-old traffic platforms that must continue to run.

AI becomes even more powerful when paired with the linear-streaming model. A unified operational environment gives AI a broader surface area to optimize mixed-format deals, blended inventory, live-event positions, and impression-based extensions. As linear streaming becomes more widespread, AI becomes the layer that strengthens the model.

Where Media Goes Next

The throughline across these trends is clear: growth in 2026 will come from media companies that treat operational transformation as a profit lever, not a technical exercise. Linear retains its value. Streaming matures into a hybrid operating model. AI accelerates the business behind both.