Artificial Intelligence in Media Entertainment and Sport 2025
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This section outlines the most relevant opportunities
for generative-AI-driven transformation across
content creation, asset management, monetization,
distribution and customer experience. It provides an
overview of how businesses across the industry are
using genAI at each stage of the content innovation
loop. These examples, grouped by impacted stage
of the loop and the opportunity they enable, are
illustrative rather than exhaustive.
Opportunities
–Augment human creativity: GenAI augments
creativity and democratizes content production
by lowering entry barriers such as technical
skills and investment. This allows a broader
spectrum of creators to participate and enables
studios with limited resources to enhance their
production, ultimately expanding the industry.
But the real promise of genAI lies not in merely
enhancing existing workflows or generating
assets, but in creating entirely new and
previously unimaginable experiences. –Enhance audiences’ engagement and
optimize revenues: GenAI supports the
production and delivery of hyper-personalized,
engaging content at scale. In turn, this helps
businesses enhance user experience, reduce
churn and optimize revenue streams through
strategic advertising placements, dynamic
pricing and improved content yield.
–Boost efficiency and productivity: GenAI
automates repetitive tasks, such as copyediting
for grammar, summarization and metadata
tagging, and optimizes content editing
workflows in production and post-production
phases. It provides real-time audience and
performance insights that allow creators to
quickly adapt and improve content through
conversational interfaces. This enables the
industry to deliver high-quality content faster
and more effectively. 2.2 Opportunities and use casesA dynamic innovation ecosystem is emerging,
fuelled by a whole new generation of AI-native
startups, with $27 billion invested in it between April
and June 2024 alone.8 These organizations are
expanding the industry by:
–Reinventing existing products, making them
more accessible and engaging, and enhancing
established business and operating models to
drive efficiency and productivity –Creating new products and services that
push the boundaries, such as search generative
experiences and text-to-audio/video solutions
–Acting as enablers, supporting the evolution
of the content innovation loop, by providing
infrastructure and solutions for emerging
needs, such as the implementation of content
authenticity standards, attribution models and
remuneration frameworks
Reinventing existing products
Inworld AI provides a suite of AI tools and
infrastructure for game development and
gameplay. Inworld’s AI engine helps game
developers create content more efficiently while
enabling new game mechanics that increase
immersion, personalization and replayability.9
Creating new products and services
Runway is at the forefront of AI media, making
content creation accessible, controllable and empowering for everyone. It builds general purpose
multi-modal simulators, accelerating research-
to-production timelines from years to weeks and
embedding research into engineering and product
teams instead of having each team work in isolation.10
Acting as enablers
ProRata.ai enables AI pay-per-use with new
technology that analyses generative responses,
attributing content sources, enabling the sharing
of revenues between technology players and
content providers.11Emerging innovation ecosystem BOX 1
GenAI and creators INSIGHT 1
52%
of creators state that using AI helped
them to be more creative while also
saving them time.12 92%
of creators say they have already used
genAI in some capacity (vs. only 34%
in November 2023).1390%
feel like they are not using genAI
to its fullest potential.14
Artificial Intelligence in Media, Entertainment and Sport
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