Media Companies and the Search for Profitability
Elizabeth Parks
Market Research and Marketing Communications Expert | Thought Leadership | Networking / Brand Visibility for Tech and IoT Markets - Consumer, Small Business, Multifamily
Early in the streaming market, content and service providers focused on building subscriber bases through exclusives and original content, but production of such content is extremely costly. For instance, Netflix spent $17.5 billion and Apple TV+ spent $6.5 billion on content production in 2022 alone. Today, the market has clearly shifted to a need for return on investment – and GAI can be leveraged in several areas as a tool to help reduce production and operational costs.
Pay TV in Decline
The acceleration of OTT services led to a greater divide between online video and more traditional pay-TV offerings. This shift forced many traditional players to rethink how to do modern business to meet new consumer expectations, else risk reduced relevance and possible collapse.
Just 5% of US internet households rely only on a pay-TV service subscription with no streaming services versus 40% almost 10 years ago, and 36% of internet households use streaming services only, with no traditional pay-TV service.
?From Content to Cost: Pricing Shifts and Bundles
Content is a key driver in consumer preferences for video services. Rising content costs for service providers are driving a surge in service consolidations and higher subscription costs for consumers.
Consumers spend $73 per month on average on streaming services, which resembles the costs of traditional pay TV that many have left behind.[BC2]?
Streaming providers rely on original content to differentiate and attract new subscribers, but this has turned them into production companies. As subscriber numbers level off and production costs rise, the absence of profitability is clear. Examples of price increases and reports of losses are pervasive for service providers:
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Generative AI Promises Efficiencies
To counteract these losses, companies are evaluating how they can strategically employ generative AI. Uses of GAI can include providing a natural language interface for editors and content curators, or creating content descriptions of different lengths for different platforms/applications. GAI can even create different images for more targeted advertising or write personalized news articles. The automation afforded by GAI can easily shave off many hours of work for individual contributors – and many dollars of expense for companies.
Generative AI Across the Content Lifecycle
There are multiple GAI tools available that assist both creatives and executives across the media supply chain, with even more in development. This technology can help companies gain cost advantages, increase speed to market, and strengthen customer loyalty. Generative AI often builds upon a machine-learning foundation, but also introduces novel applications, promising substantial impacts on how content is created, distributed, and monetized and how entertainment organizations operate.
This is an excerpt from Parks Associates white paper Maximizing Returns: Generative AI’s Impact on Entertainment, written in partnership with FPT Software. This white paper examines the emergence and explosion of GAI and its potential impacts on the entertainment industry including efficiencies and automations within the media supply chain and opportunities to boost revenue. It highlights concerns around copyright and human rights issues with using GAI, particularly in the media ecosystem. Finally, it highlights examples of GAI tools already available for use in entertainment and offers guidance on steps media companies can take now to be ready to implement GAI as these models and tools mature, such as building private LLMs, offering 24/7 customer service, focusing on using GAI to enhance rather than replace, and to be mindful of intellectual property protections when creating content.
The applications and possibilities that GAI can create are virtually endless. There are numerous GAI solutions available today and many current and pending legal considerations for its use. The world of AI is evolving quickly and those that evolve along with it will be able to transform their business.
Executive Director at IPTV System-Retired
7 个月Good platform design with wider array of content that’s truly global will win end of the day.. i worked with almost global broadcasters which are very backward bunch when it comes to content and Disney with so much talent but their OTT platform is a dogs breakfast and Netflix which developed inhouse including complex hardware, their platform is quite good but new look and feel is terribly going backwards..
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7 个月Interesting shift towards profitability in the entertainment industry, huh? How do you think this will impact consumers?
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7 个月Exciting times ahead for the media industry ?? Elizabeth Parks
Making AI-powered solutions for you
7 个月Exciting times ahead for the media industry with a renewed focus on profitability and innovative AI solutions like GAI
Elizabeth Parks and Parks Associates!!! I have my 57 Channels with nothing on (A nod to Bruce Springsteen so we stay out of trouble here). When I was younger... I listened to the New York sports teams on the radio. And then... all of them were on TV all the time... and now there are "opportunities" to pay to see certain games. I'm back listening to the New York Yankees on the radio... and waiting for someone to ask me to pay for that. AND... there is so much wonderfully well done entertainment being delivered by SO MANY streaming services. But I can't afford and don't want subscriptions to all the services. I'd buy their content like I buy a book. I agree that good old fashion product management driving data and analytics will produce the Win-Win that enables the streaming services to figure it's market out and to sustain. Some of the streaming services may not survive. And speaking of buying books... I love my public library. I just took out a book about #GenAI.