Artificial intelligence (AI) is rapidly reshaping broadcast technology, moving beyond theoretical concepts to practical applications across various production workflows. This analysis explores the current state of AI in broadcasting, examining its real-world use in automated captioning, content tagging, and live production assistance.
Industry experts discuss the opportunities and obstacles faced by broadcasters integrating AI tools, covering infrastructure requirements and staff training. The conversation also delves into emerging AI applications in accessibility, language translation, and workflow optimization. Siddarth Gupta, principal engineer at Interra Systems, notes: "Over the past year, AI has made remarkable strides in natural language processing (NLP), image generation, and real-time analytics, all of which continue to reshape how content is produced and delivered. Broadcasters can now automate routine tasks like editing, captioning, and highlight creation, freeing staff to focus on higher-level storytelling."
Bob Caniglia, director of sales operations at Blackmagic Design, highlights the established use of AI: "While AI was certainly a headline-grabbing news item this year and has some far-reaching implications, it’s important to look at how it has already been used for years to see where it has potential to go. By leveraging AI-driven tools in post-production, such as noise reduction, audio classification, smart reframing, and automated transcription, broadcasters have achieved faster edits, precision in storytelling, and seamless multi-platform content repurposing for traditional and social media."
Further insights into the transformative power of AI in broadcasting are provided by Zeenal Thakare, SVP at Ateliere, Jordan Thomas of QuickLink, Costa Nikols of Telos Alliance, Sam Bogoch of Axle AI, Noa Magrisso of TAG Video Systems, Simon Parkinson of Dot Group, Peyton Thomas, Yang Cai of VisualOn, Steve Taylor of Vizrt, Stefan Lederer of Bitmovin, and Ken Kobayashi of Sony Electronics. These experts discuss the challenges and opportunities of implementing AI in various aspects of broadcast production, including newsgathering, live events, and content accessibility.
Kathy Klinger emphasizes the importance of balancing AI's efficiency with human creativity and ethical considerations, while others address concerns about job displacement, copyright issues, and the need for staff training. The overall consensus points to AI as a powerful tool for enhancing efficiency, improving content quality, and creating innovative broadcasting experiences, while acknowledging the need for responsible implementation and ethical considerations.