MBC boosts video on demand amid battle for Arabic content supremacy

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The Middle East market for subscription video on demand is becoming increasingly crowded, with global players coming up against Icflix, Starz Play, Iflix, Wavo and beIN. (Supplied Photo)
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Shahid will focus on creating its own episodic content rather than feature films
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MBC Digital Managing Director Johannes Larcher
Updated 18 June 2019
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MBC boosts video on demand amid battle for Arabic content supremacy

  • Group hopes first drama series will give it an edge over global rivals Netflix and Amazon in Middle East battleground

LONDON: MBC Group is ramping up investment in its Arabic-language video-on-demand platform as the Middle East becomes a new battleground for global players from Netflix to Amazon.

The broadcaster is also targeting the Arab-speaking diaspora after recording a 42 percent spike in users from outside the region over the last year.

MBC Digital Managing Director Johannes Larcher said that the group will step up marketing efforts for its “Shahid” Arabic-language video-on-demand platform in the second half of the year as it shoots its first drama series that is due to air in 2020.

“We have viewers from North America to Europe who are Arab speakers and who want to use Shahid to stay in touch with their countries of origin and their culture,” Larcher told Arab News in an interview.

Its first homegrown Arabic-language drama is currently in production with more planned for next year. It comes as rival Netflix debuts its own Arabic-language drama. The first episode of “Jinn,” which has attracted controversy in Jordan over its portrayal of the country, aired on Netflix on June 13.

Larcher said that Shahid would focus on creating its own episodic content rather than feature films — with between eight and 13 episodes per season.

He said that a number of technical improvements had been made to the platform covering streaming, casting content from phone to television, and carrying high-definition video.

Subscription video on demand is expected to more than double in the Middle East and North Africa between 2018 and 2024, according to Digital TV Research. 

The market is becoming increasingly crowded, with global players such as Netflix and Amazon Prime Video competing against Icflix, Starz Play, Iflix, Wavo and beIN.

Despite rising competition from both global and regional players, Larcher believes MBC’s 30-year history of broadcasting in the region gives the company a competitive edge.

“We have been here for 30 years through our linear TV business, which is also doing well, and we really know the consumer here better than anyone else,”
he said. “At end of the day, that is what really matters — to create a service that consumers love and to bring them content they enjoy — so we feel good about our chances.”


WEF report spotlights real-world AI adoption across industries

Updated 19 January 2026
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WEF report spotlights real-world AI adoption across industries

DUBAI: A new report by the World Economic Forum, released Monday, highlights companies across more than 30 countries and 20 industries that are using artificial intelligence to deliver real-world impact.

Developed in partnership with Accenture, “Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations” draws on insights from two cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a WEF initiative focused on AI solutions that have moved beyond pilot phases to deliver measurable performance gains.

As part of its AI Global Alliance, the WEF launched the MINDS program in 2025, announcing its first cohort that year and a second cohort this week. Cohorts are selected through an evaluation process led by the WEF’s Impact Council — an independent group of experts — with applications open to public- and private-sector organizations across industries.

The report found a widening gap between organizations that have successfully scaled AI and those still struggling, while underscoring how this divide can be bridged through real-world case studies.

Based on these case studies and interviews with selected MINDS organizations, the report identified five key insights distinguishing successful AI adopters from others.

It found that leading organizations are moving away from isolated, tactical uses of AI and instead embedding it as a strategic, enterprise-wide capability.

The second insight centers on people, with AI increasingly designed to complement human expertise through closer collaboration, rather than replace it.

The other insights focus on the systems needed to scale AI effectively, including strengthening data foundations and strategic data sources, as well as moving away from fragmented technologies toward unified AI platforms.

Lastly, the report underscores the need for responsible AI, with organizations strengthening governance, safeguards and human oversight as automated decision-making becomes more widespread.

Stephan Mergenthaler, managing director and chief technology officer at the WEF, said: “AI offers extraordinary potential, yet many organizations remain unsure about how to realize it.

“The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”

Among the examples cited in the report is a pilot led by the Saudi Ministry of Health in partnership with AmplifAI, which used AI-enabled thermal imaging to support early detection of diabetic foot conditions.

The initiative reduced clinician time by up to 90 percent, cut treatment costs by as much as 80 percent, and delivered a 10 time increase in screening capacity. Following clinical trials, the solution has been approved by regulatory authorities in Saudi Arabia, the UAE and Bahrain.

The report also points to work by Fujitsu, which deployed AI across its supply chain to improve inventory management. The rollout helped cut inventory-related costs by $15 million, reduce excess stock by $20 million and halve operational headcount.

In India, Tech Mahindra scaled multilingual large language models capable of handling 3.8 million monthly queries with 92 percent accuracy, enabling more inclusive access to digital services across markets in the Global South.

“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and — this is key — it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, chief strategy and services officer at Accenture.