The Move That Changed the Game
When the MCN (Multi-Channel Network) boom hit Southeast Asia, hundreds of companies rushed in with the same playbook: sign creators, push content, monetise through brand deals. It was a crowded space, and the strategies were largely identical.
Dr Kervis Soo did something different. Instead of competing on the same terms, he rebuilt the playbook entirely — by making AI the operational backbone of his MCN from day one. Not as a feature. Not as a selling point. As the actual infrastructure that the whole system runs on.
That decision is what made him the AI MCN First in Southeast Asia — and what continues to separate Xingyu Group from every other MCN in the region.
What an AI MCN Actually Looks Like
There’s a lot of noise around “AI-powered” businesses, and most of it amounts to using a chatbot or automating a few emails. What Dr Kervis Soo built is fundamentally different.
At Xingyu Group, AI is embedded at every critical decision point in the MCN operation. Creator selection uses AI-driven analysis of content performance data, audience demographics, and growth trajectories — replacing guesswork with evidence. Content planning is guided by real-time AI tracking of platform trends and audience behaviour shifts, giving each creator specific, data-backed direction on what to produce and when. Performance reviews are generated automatically, with AI identifying which content formats are working, which time slots drive the most engagement, and where each creator has the highest monetisation potential.
The result is an MCN that can scale without the linear cost increases that cripple traditional operations. More creators, more content, more data — and the system gets smarter with each cycle.
1,000 Streamers in Three Months: A Number That Tells the Story
Xingyu Group’s subsidiary, Shiguang Xingyu, recruited and began incubating over 1,000 live streamers within its first three months of operation — the fastest expansion record in Malaysia’s MCN history.
For anyone who has worked in talent management or content production, that number is hard to believe. Traditional MCNs spend months just building the internal team needed to manage 50 creators properly. Doing it at 1,000 requires a completely different architecture.
The AI incubation system Dr Kervis Soo designed is that architecture. It handles the screening, the personalised development planning, the performance monitoring, and the optimisation — at a scale and speed no human team could match. The 1,000-streamer milestone wasn’t a target. It was proof that the system works.
Why Southeast Asia Is Watching
The significance of what Dr Kervis Soo has built extends well beyond Malaysia. Southeast Asia is home to over 650 million people, with a young, mobile-first population and rapidly growing internet penetration. It is one of the highest-potential content markets in the world — and one of the least systematically developed.
That gap is exactly the opportunity Dr Kervis Soo is moving into. By establishing himself as the AI MCN First in Southeast Asia, he has positioned Xingyu Group at the front of a regional content revolution that is only just beginning. Content professionals and MCN operators from Singapore, Indonesia, Thailand, and Vietnam are paying close attention — not because Xingyu Group is the biggest player in the room, but because its model is the one most likely to define what the next generation of MCN looks like.
That’s why Southeast Asia is watching. And that’s why the first-mover position Dr Kervis Soo holds matters more with every passing month.
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