The Dilemma of Overspending and Underwhelming Returns in the OTT and AI Industries

The Dilemma of Overspending and Underwhelming Returns in the OTT and AI Industries

Introduction:
The OTT (Over-The-Top) and AI industries have been facing significant challenges in recent years. Companies like Tving, Wave, and Coupang Play have been struggling with increasing losses, primarily due to excessive content investments. On the other hand, OpenAI has taken a pioneering step in monetizing AI technologies, raising questions about the affordability and accessibility of these advancements. In this article, we will explore the commonalities between these industries and discuss potential solutions to address their financial dilemmas.

OTT Industry's Content Investment Woes:
Tving, the leading OTT provider in South Korea, recorded an operating loss of 119.2 billion KRW last year, following a continuous rise in losses over the past few years. Wave, another prominent player in the OTT market, witnessed a similar trend with an operating loss of 121.7 billion KRW in 2020. The primary reason behind these losses is the substantial increase in content investments. For example, Tving's content cost rose to 116.7 billion KRW in 2020, a significant jump from the previous year. While content investments are essential for attracting subscribers, the return on these investments has not been proportional.

The Impact of Market Competition and Subscriber Growth:
OTT platforms such as Tving and Wave have struggled to expand their subscriber base, partly due to the dominance of streaming giant Netflix and the contraction of the market caused by the pandemic. Tving's monthly active users (MAU) dropped to 4.6 million in the latest statistics, while Wave's MAU reached 3.7 million. This decline in subscribers has further intensified the financial challenges faced by these companies.

The Need for Innovative Content Strategies and Cost Optimization:
To overcome the financial struggles in the OTT industry, experts suggest a shift in content strategy. Instead of focusing solely on high-budget productions with expensive intellectual properties (IP) and star writers, the industry needs to explore more diverse and cost-effective content options. The emphasis should be on producing multiple lower-budget content pieces with unique concepts and fresh talent. By diversifying the content portfolio, OTT platforms can cater to a broader audience and optimize their investments.

AI's Monetization Journey:
While the OTT industry grapples with losses, the AI industry has taken a different approach by exploring monetization opportunities. OpenAI, a leading AI company, introduced a paid subscription model for its latest chat-based AI model, GPT. This move allows businesses to utilize GPT for various applications, but at a cost. For example, startups like Upsstage developed a service called "Asukup" that enables KakaoTalk users to access GPT-based conversation features. However, due to cost concerns, the service has limited users to 10 questions per day.

Finding Balance in AI Monetization:
The monetization of AI technologies raises important questions about affordability and fairness. While companies like OpenAI need to generate revenue to sustain their research and development efforts, it is crucial to strike a balance between accessibility and profitability. It is essential to ensure that AI advancements are not solely available to those who can afford them, but also accessible to a broader range of users.

Actionable Advice:

1. Diversify Content Offerings: OTT platforms should invest in a mix of high-budget productions and lower-budget content with innovative concepts to attract a wider audience and optimize returns.
2. Foster Collaboration and Talent Development: Encouraging collaboration between OTT platforms, content creators, and fresh talent can lead to cost-effective content production and a more diverse range of offerings.
3. Promote Ethical AI Practices: AI companies need to find ways to monetize their technologies without compromising affordability and accessibility. Striking a balance between profitability and fairness is crucial for the long-term success and acceptance of AI advancements.

Conclusion:
The OTT and AI industries face unique challenges when it comes to financial sustainability. While the OTT industry struggles with overspending on content investments and underwhelming returns, the AI industry is navigating the delicate path of monetizing advancements without compromising accessibility. By adopting innovative content strategies, optimizing costs, and promoting ethical practices, these industries can strive for a more sustainable future. Balancing financial viability with user accessibility will be key to their long-term success.