7 Media Trends Shaping Entertainment and Streaming in 2026

The entertainment and streaming industries are entering a new era as technology continues to transform the way we create, consume, and interact with media content. From the explosion of generative AI to the rise of immersive experiences, these changes are not only redefining traditional roles in media but also opening up new opportunities and challenges for everyone involved.

Bernard Marr’s analysis of seven defining media trends for 2026 outlines the key shifts that will impact how stories are told, who becomes famous, and what audiences expect. His insights offer a roadmap for navigating the fast-evolving landscape of entertainment and streaming, whether you're a creator, executive, or an avid fan.

As studios, creators, and platforms embrace these changes, understanding each trend is critical for anyone interested in how entertainment and streaming will work in the coming years. By examining real-world examples and the practical implications of each trend, we can better prepare for the future of media.

How Will Generative Video Change Mainstream Entertainment?

Generative video tools are advancing rapidly, allowing the creation of scenes and effects with far less effort and cost than traditional methods. This shift is already visible in projects like Netflix’s "El Eternauta," where AI-generated visuals supplement human artistry to create expansive, cinematic worlds on a budget previously reserved for blockbuster films.

Studios now use artificial intelligence to design backgrounds, add filler moments, or even craft entire sequences. These capabilities lower production barriers, making it easier for smaller teams to produce high-quality content. For example, indie filmmakers can now generate complex visual effects, such as digital crowds or fantasy landscapes, without hiring large VFX teams. Even major studios are leveraging AI to speed up post-production, automate color grading, and create realistic de-aging effects for actors.

However, this technology has sparked debates about the role of human creativity, job security for artists, and the legalities around authorship. Unions and creative guilds are pushing for clear guidelines on how AI-generated content is credited and compensated. The next few years will clarify how these concerns are addressed, with ongoing negotiations between industry stakeholders and the development of new legal frameworks to protect both innovation and traditional creative roles.

Are AI-Generated Celebrities Becoming the New Stars?

Virtual influencers and AI-driven characters are gaining significant traction across social media and entertainment platforms. Examples such as Lil Miquela and Noonoouri have established large online followings already, attracting lucrative brand deals and even appearing in music videos and advertising campaigns alongside human celebrities.

Advancements in AI mean these digital personalities now come with unique traits, backstories, and even interactive abilities. Studios are exploring their potential as actors, models, and brand ambassadors. For instance, AI-generated pop stars can release music, interact with fans on live streams, and feature in global ad campaigns without the limitations of human schedules or physical presence. Fashion brands have begun using virtual models to showcase new collections, allowing for instant customization and global reach.

While synthetic celebrities offer cost savings and flexibility, the rise of figures like Tilly Norwood has led to protests among professional actors worried about job displacement. Unions are calling for regulations to ensure transparency when brands use AI personas instead of real people. Audience reactions will be closely watched, as some viewers embrace the novelty while others question the authenticity and emotional resonance of digital stars. The industry is experimenting with hybrid models, combining human and AI elements to create compelling, relatable personalities.

What Does the Future Hold for Immersive Sports Viewing?

Technology is transforming sports broadcasting, shifting from passive viewing to highly immersive, interactive formats. Virtual reality allows fans to feel almost present at live games alongside other supporters, while augmented reality overlays real-time stats and player information onto the viewing experience. Imagine donning a VR headset to watch the Super Bowl from the 50-yard line or using your phone to access multiple camera angles during a Formula 1 race.

Partnerships between sports leagues and tech companies, such as the NBA with Meta or Apple’s "spatial computing" for soccer, are leading the way. These experiences are redefining what it means to attend sporting events. For example, fans can join virtual "watch parties" with friends around the world, interact with 3D avatars of players, or even purchase digital collectibles tied to in-game moments. Teams are experimenting with interactive broadcasts where viewers can select commentary tracks, access exclusive behind-the-scenes content, or play prediction games for prizes.

As viewers become active participants, broadcasters and rights holders will need to rethink how they deliver content, monetize engagements, and maintain audience loyalty in this new environment. New revenue streams are emerging, such as microtransactions for enhanced experiences or virtual merchandise. However, these innovations also require robust infrastructure and careful attention to privacy, data security, and accessibility to ensure all fans can participate.

Will Content Ownership and Authorship Rules Be Redefined?

The use of generative AI in media creation challenges established ideas about intellectual property, copyright, and authorship. Determining who owns AI-generated content is increasingly complex, especially when multiple parties contribute to the creative process.

Questions are emerging about whether the creators of AI tools, the users, or the underlying data sources have legal rights to the outputs. For example, if a filmmaker uses an AI trained on thousands of copyrighted images to generate a new scene, who holds the rights to that scene? This uncertainty affects how creators are compensated for their work, and lawsuits are already being filed to test the boundaries of current law.

Regulators, industry groups, and courts are beginning to develop guidelines, but the landscape remains unsettled. The coming years will be crucial for shaping new policies that reflect this evolving reality. Some companies are proactively developing "AI transparency" labels to clarify how content was created, while others are lobbying for new copyright categories for machine-generated works. International collaboration will be key, as content crosses borders and legal systems differ in their approach to AI.

How Are Streaming Platforms Competing for Attention?

Streaming services are locked in fierce competition, not just for content but also for user engagement. Platforms invest in exclusive programming, innovative formats, and user personalization to retain subscribers. Netflix’s "Bandersnatch" and Amazon Prime’s "The Boys Presents: Diabolical" are examples of interactive storytelling designed to deepen audience involvement.

Features like interactive episodes, live events, and algorithm-driven recommendations are designed to deepen audience loyalty and reduce churn. The race to stand out means constant experimentation with new approaches. For instance, Disney+ offers group watch features, while Hulu and Peacock experiment with live sports and reality show voting. Some platforms are testing ad-supported tiers, giving viewers more choice over how they pay for content.

As more players enter the market, differentiation becomes harder. Viewers benefit from diverse choices but may face subscription fatigue as the number of available services continues to grow. Bundling options, cross-platform partnerships, and flexible subscription models are emerging as strategies to keep audiences engaged. The challenge for platforms is to balance content investment with sustainable pricing and to continually innovate without overwhelming their user base.

Are Audiences Ready for Participatory Storytelling?

One notable trend is the rise of formats where viewers influence storylines or outcomes. Whether through voting, branching narratives, or live feedback, audiences now play a more active role in shaping content. Shows like "You vs. Wild" and "Unbreakable Kimmy Schmidt: Kimmy vs. the Reverend" let viewers decide characters’ fates, while live-streamed events allow real-time interaction with performers.

This participatory approach is growing in popularity, especially among younger viewers who expect interactive and dynamic experiences. Creators are experimenting with new ways to involve their fans directly. For example, some YouTube creators crowdsource plot ideas, while Twitch streamers let viewers control aspects of gameplay or story progression. Even traditional networks are piloting interactive game shows and reality competitions with audience voting integrated via mobile apps.

Such innovations encourage stronger connections between creators and fans. However, balancing creative vision with audience input is a delicate process that requires thoughtful design and execution. Too much audience control can dilute narrative coherence, while too little can feel tokenistic. Successful projects often blend structured storytelling with meaningful moments of participation, creating a sense of ownership without sacrificing quality.

What Impact Will AI Have on the Creative Process?

Artificial intelligence is increasingly a creative partner, assisting with scriptwriting, music composition, video editing, and even animation. These tools help speed up production and expand creative possibilities. For example, AI can generate music scores tailored to specific scenes, suggest plot twists based on audience data, or automate repetitive editing tasks so human creators can focus on big-picture storytelling.

Despite the efficiency gains, some industry professionals worry that AI might dilute originality or over-standardize creative outputs. Collaboration between humans and machines is becoming a new industry norm. Writers’ rooms are experimenting with AI-generated dialogue, while animators use machine learning to fill in background details or simulate complex movements. The key is using AI as a tool to enhance, not replace, human creativity.

Successful adoption depends on transparency and clear communication about how AI contributes. When managed well, AI can enhance creativity without overshadowing the human touch that audiences value. Training programs are emerging to help creative professionals integrate AI tools effectively, and some studios now employ "AI wranglers" to oversee the ethical and artistic use of generative technologies.

Which Roles Will Humans Play in Tomorrow’s Entertainment Landscape?

As automation and AI take on more creative and technical tasks, human roles in entertainment are shifting. There is growing emphasis on unique skills like emotional intelligence, storytelling, and audience engagement. For example, while AI can generate dialogue or visual effects, it cannot replicate the nuanced performances of a skilled actor or the instinctive direction of an experienced filmmaker.

Writers, directors, performers, and producers must adapt to new workflows, learning to collaborate with technology while maintaining the authenticity that resonates with viewers. Training and flexibility are key. Many film schools and creative programs now include courses on AI literacy, digital ethics, and cross-disciplinary teamwork. The most successful professionals will be those who can bridge the gap between technological innovation and traditional storytelling.

While some jobs may evolve or disappear, new roles related to AI supervision, ethical oversight, and experience design are emerging. The industry’s future will be defined by how humans and technology work together. For instance, "AI ethicists" ensure that generative tools are used responsibly, while "narrative designers" create interactive story frameworks that blend human and machine input. The creative industries will continue to value original ideas, empathy, and cultural insight—qualities that machines cannot fully replicate.

• Generative video tools streamline production processes, allowing for faster turnaround and democratizing access to high-quality visual effects.
• Synthetic influencers expand branding opportunities, enabling companies to reach new audiences through virtual personalities.
• Immersive sports experiences engage fans directly, transforming spectators into participants and opening new revenue streams.
• Evolving IP laws challenge creators and studios, requiring new frameworks for ownership, compensation, and creative credit.
• Streaming platforms innovate to retain subscribers, offering interactive content, personalization, and flexible pricing models.
• Participatory storytelling redefines audience roles, fostering deeper engagement and co-creation between fans and creators.
• Human skills remain vital in a tech-driven industry, with emotional intelligence, originality, and ethical oversight in high demand.

Frequently Asked Questions About Media Trends in 2026

Conclusion: Navigating the Future of Entertainment with Bernard Marr’s Trends

The seven media trends outlined by Bernard Marr for 2026 highlight a pivotal transformation in entertainment and streaming, emphasizing the balance between innovation and human creativity. As AI and immersive technologies reshape the industry, the most successful creators and platforms will be those who adapt quickly, embrace experimentation, and prioritize meaningful connections with their audiences.

Understanding these developments helps creators, platforms, and audiences make informed decisions as technology continues to shape the future of storytelling and media consumption. By staying informed and flexible, everyone in the industry can contribute to a vibrant, inclusive, and innovative entertainment landscape for years to come.