​​​

​The Media and Entertainment (M&E) industry is experiencing its most significant shift in a generation. The forces transforming the sector present both urgent challenges and substantial opportunities for organisations that select the right partner. 

​

Audience Behaviours are Changing, Supply Needs to Keep Up​

​

Ofcom reports that in 2023, fewer than half of Gen Z watched traditional broadcast TV weekly for the first time, a decrease from three-quarters five years earlier. Currently, they spend about one hour and thirty minutes each day on YouTube and TikTok, compared to just 30 minutes on broadcast TV. This shift isn't temporary but indicates a fundamental change in how audiences are developed, engaged, and monetised, affecting content supply chains. A generation that effortlessly moves between short-form social videos, on-demand streaming, and live digital events requires content in various formats: clipped, reformatted (including Metadata), localised, and delivered across multiple platforms within tight deadlines. 65% of younger viewers identify an older "library" title as their current favourite show, making libraries as important as new titles.

​

The Streaming War

​

Linear television viewership continues its prolonged decline in most developed markets. Every major broadcaster, Pay TV operator, and content studio is investing in direct-to-consumer streaming capabilities, either to complement or eventually replace traditional distribution. Building and operating a competitive streaming platform demands advanced technical skills in content ingestion, transcoding, content management, personalisation, advertising, and CDN delivery.

​

AI-Driven Workflow Transformation

​

Generative AI technologies show early signs of capabilities that could transform media production and distribution workflows. Automated metadata enrichment, AI-assisted clipping and highlight generation, intelligent scheduling, quality-control automation, and AI-powered content discovery are still developing. Organisations that adopt these capabilities effectively will lower operational costs and speed up time-to-market.

​

The figures are compelling: almost every organisation is now experimenting with AI. However, fewer than 5% (source: MIT) report a measurable financial impact, and only 1% (source: McKinsey) consider their deployments to be mature. The problem isn’t the technology; it’s the surrounding factors. Redesigning workflows, managing change, governing data and projects, and ensuring operational visibility determine whether a promising proof‑of‑concept becomes a scaled capability. When deployment outstrips process design, or adoption outpaces governance, the outcome isn’t failure; it’s more work.

​

Organisations must implement business process and workflow analysis and redesign, change management, organisation design, project delivery, and data governance to establish the structural confidence necessary for AI experimentation to succeed.

​

PMC offers all the services needed to help M&E clients navigate the opportunities and challenges in this exciting sector. Please get in touch if you’d like a chat.