The broadcasting industry is undergoing a significant transformation driven by artificial intelligence (AI). This article examines the impact of AI on workforce development and the crucial collaboration between broadcasters and technology providers.
Experts highlight the evolving skill requirements for broadcast professionals as AI automation reshapes traditional roles. Bob Caniglia, director of sales operations, Americas, Blackmagic Design, emphasizes that "The goal of AI-powered technology should be to empower creativity, not replace creatives." He points out that AI can streamline workflows, freeing up time for creative tasks.
Ken Kobayashi, business manager, Sony Electronics, notes the challenges of hiring skilled camera operators and how AI-powered camera tracking is improving efficiency and production values. Costa Nikols, strategy advisor, media and entertainment, Telos Alliance, observes that AI and machine learning demand new skills, requiring a blend of digital intuition and technical expertise.
Simon Parkinson, managing director, Dot Group, stresses that technology should "shrink the skill gap rather than widen it." Peyton Thomas, product manager, Panasonic Connect, advises broadcasters to adopt software-defined platforms and new transport protocols to prepare for AI integration. Bob Caniglia further suggests promoting continuous education to keep pace with technological advancements.
Jordan Thomas, marketing manager, QuickLink, highlights the importance of hands-on training with AI platforms. Steve Taylor, chief product and technology officer, Vizrt, advocates for viewing AI as a "time generator," speeding up repetitive tasks. Jordan Thomas also points out that while some roles might become redundant, new opportunities will emerge in areas like AI management and data analytics.
Noa Magrisso, AI developer, TAG Video Systems, sees AI shifting the focus from manual tasks to strategic expertise in AI tools. Simon Parkinson adds that while there's hesitation about AI's impact on jobs, new roles will be created within the information sector.
Kathy Klinger, CMO, Brightcove, emphasizes the need for investment in both technology and talent, including a robust data infrastructure. Siddarth Gupta, principal engineer, Interra Systems, notes the high implementation costs and challenges related to AI adoption. Yang Cai, CEO and president, VisualOn, adds that concerns about data privacy and resistance to change can hinder adoption.
Kathy Klinger also points out the challenges of ensuring quality and authenticity in AI-generated content. Jordan Thomas stresses the need to complement AI tools with discussions on governance and inclusivity. Costa Nikols highlights the need for robust data governance and clear standards for handling AI-generated content.
Steve Taylor emphasizes the importance of building trust in AI. Sam Bogoch, CEO, Axle AI, sees a need to focus AI solutions on real-world broadcaster problems. Noa Magrisso emphasizes the value of collaboration between developers and broadcasters to create tailored AI solutions.
Zeenal Thakare, SVP, enterprise solutions architecture, Ateliere, warns about ethical implications and bias in algorithms. The article concludes by emphasizing the need for a shift from short-term benefits to long-term structural impact considerations.