AI Redefines Content Creation: What to Expect at IBC 2025

IBC 2025 Preview: How AI is Changing Content Production and Creative Workflows

This September, broadcast professionals will gather in Amsterdam for IBC 2025, where artificial intelligence tools are proving their role beyond experiments. AI is now automating repetitive, time-consuming tasks and opening up new creative opportunities throughout the entire content production process.

From scripting to final delivery, AI supports creators at every step — from story development to multi-platform distribution. This helps reduce the heavy labor and long timelines traditionally required in content production.

AI as a Creative Partner, Not Just a Tool

AI is moving past simple automation. It now acts as a creative partner, assisting live broadcast teams with real-time tasks like automatic camera tracking, audio optimization, and graphics generation. This lets creators focus more on storytelling while AI handles technical details.

• Automates scripting and post-production editing
• Tags live content in real time
• Generates instant highlights and localized versions

These functions can reduce days of work to minutes, enabling personalized content at scale without losing creative control.

Agentic AI Workflows Accelerate Production

New AI workflows can handle complex multi-step tasks with minimal human input while maintaining editorial standards. These systems customize content for different audiences, add real-time metadata, and prepare material for multiple channels simultaneously. This reduces the need for large teams and streamlines production.

Still, human oversight remains crucial. Editors ensure quality, compliance, and creative intent, especially for news or sensitive content, keeping the final output professional and trustworthy.

Speeding Up News and Post-Production

AI has made a significant impact in newsrooms, where speed and accuracy are essential. It automates transcription, translation, and metadata enrichment, allowing journalists to concentrate on reporting and analysis. AI also helps format stories for TV, digital, and social platforms simultaneously.

In post-production, AI speeds up content discovery by quickly locating clips within vast archives. It supports localization and performance adjustments, adapting content for various markets and technical needs. This means editors spend less time on manual tasks and more on creative work.

Infrastructure and Data Quality Matter

Effective AI depends on solid infrastructure and well-organized content repositories. Fragmented storage makes it difficult to get real value from AI tools. Centralized systems enable smoother workflows and better results.

Many companies improve efficiency by combining video compression and AI processing using GPU-based systems instead of slower, separate CPU pipelines. This integration offers faster, more cost-effective processing.

Data quality is also a key factor. AI is only as good as the data it processes. Proper cataloging and indexing of content maximize AI effectiveness. New streaming-based approaches help avoid delays caused by file transfers and format conversions, letting teams focus on insights rather than data wrangling.

Quality Control and Content Analysis

Traditional quality control, relying on rule-based checks and manual reviews, is evolving. AI now detects complex technical issues like lip-sync errors and graphical interference automatically. Natural language-driven workflows simplify operations and lower technical barriers for teams.

Audio processing has also advanced. AI systems can manage multilingual content by identifying speakers, languages, and inconsistencies while adapting audio mixes for different devices. They can even detect profanity across various languages and dialects.

Advanced AI analyzes visual, audio, and narrative elements simultaneously, generating detailed metadata. This enables automated highlights, trailers, and replays, enhancing content value and creating new monetization opportunities through personalized viewing experiences and targeted advertising.

Looking Ahead to IBC 2025

As IBC 2025 approaches, creative professionals are focused on AI tools that offer practical improvements and integrate smoothly into existing workflows. Maintaining editorial standards remains a priority, ensuring that AI accelerates production without compromising quality.

For those interested in learning more about AI applications in creative fields, exploring specialized training can provide valuable insights and skills. Check out Complete AI Training's courses for creative professionals to stay ahead in this evolving landscape.