How might the traditional television and video industry completely reinvent itself in the Artificial Intelligence Journalism era?

The Fourth Industrial Revolution technologies have tools to shake up the entire value chain: Building studios: 3D printing. Filming: Relying on robotic cameras and drones. Post production: AI editing without human intervention. Broadcasting: Using micro satellites to target audiences in unreached areas.

Will the global mega-trend of consumer video-on-demand (CVOD) continue or be surpassed by an emergent trend, which I call, AI video-on-demand (AIVOD) — which delivers content to consumers without a search.

The Video on Demand market was valued at $56.55 billion in 2019 and is expected to reach $120.91 billion by 2025, at a CAGR of 13.5% over the forecast period 2020 - 2025, according to Mordor Intelligence report.  The major players operating in the global subscription video on demand (SVOD) market are AT&T INC. (US), ZTE Corporation (China), Cisco Systems Inc. (US), Amazon Inc. (US), Verizon Communications Inc. (US), Muvi LLC (US), Netflix, Inc. (US), VUDU, Inc. (US), SKY PLC (COMCAST) (UK) and Hulu (US) among others.

According to Deloitte research “The future of the TV and video landscape by 2030”, there are six statements outlining the key future developments in the TV and video industry which can be clearly foreseen:

1: Digitalisation will change content production, distribution, and recommendation functionalities

All-IP becomes the standard for TV and video distribution. Fiber infrastructure and 5G networks will handle the massive increase in digital traffic caused by an increasingly flexible and mobile use of media offerings. Beyond that, they will strongly drive the digitalisation level of video production processes. Artificial Intelligence (AI) and analytics become key elements of smart content discovery with intelligent recommendation functionalities.

2: Traditional TV and non-linear content offerings will coexist

Linear and on-demand content will be equally important and will coexist peacefully. Video-on-demand will soon become mainstream in all population groups, at the same time linear TV remains significant. Especially live content such as sports and major events will preserve the high importance of traditional, linear television.

3: Targeted advertising

TV and video advertising will adapt to new formats and increasingly focus on personalised ads. Leveraging consumer data will enable stakeholders to hypertarget their ads and content, and thus maximise customer experience and value. However, the extent of targeted advertising still depends on regulation and consumers’ willingness to share their data.

4: There will be moderate market regulation overall

Market regulation will be more moderate compared to the highly regulated media industry today. The lower level of regulation for online and mobile offerings leads to a reduction of the regulatory pressure for all market players, especially for the traditional media companies.

5: Advertising and direct revenues will remain most relevant.

Generating new revenue streams is rather difficult for the protagonists in the TV and video market. Innovative offers such as demand-based-pricing for content will not prevail to a major extent. In addition, consumer data has been only partly used to monetise.

6: New and existing players will reposition along the value chain in a partly consolidated market.

The global media industry will be partly consolidated. Stakeholders will make use of strategic mergers, acquisitions, and alliances to strengthen their content quality and distribution capability.

AI video-on-demand

Artificial Intelligence video-on-demand will shape the future of the television and video industry in:

Producing: The AI video-on-demand as a new techniques of the Fourth Industrial Revolution and Artificial Intelligence will provide new tools to produce videos and television free content on demand to the target audience.

Researching: Artificial intelligence journalism by AI video-on-demand will provide a quick and accurate research and producing content according to the preference of the audience without self-searches by the audience.

Selecting: AI video-on-demand will have the ability to select more accurately and quickly.

Saving: AI video-on-demand will have the tools to save the favourite content and the analysis of audience’s Big Data, according to the content of the videos or broadcasts, in an automated and easy-to-access way to target the audience in the future.

Comments and Feedback: AI video-on-demand will not work only on the production, research and archiving processes, but will collate effective responses, and these techniques will work to monitor the extent of satisfaction of the target audience and its feedback, as well as develop research and production operations based on the comments of the target audience.