Solving the "People Bottleneck" in AI Adoption
Warren Leow, Founder, SuperN8N | Dr Lau Cher Han, CEO, LEAD
26-Jan-26 11:00
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We’ve spent the last three weeks exploring the tools, valuations, and code behind the AI boom. Now we turn to the one variable that renders even the best tech useless: People.
We are joined by Warren Leow and Dr. Lau Cher Han, co-founders of SuperGroup, to answer the boss's ultimate dilemma: Is it financially smarter to spend six months retraining a legacy workforce, or replace them with AI natives?
We discuss:
The "People Bottleneck": Why the biggest hurdle isn't the tech, but the "Monday Blue effect", sliding back to manual habits immediately after training .
Beyond "Magic Words": Why we have moved past simple Prompt Engineering into "Context Engineering" and writing System Prompts to configure the AI's "brain" .
Zero to Agent in 16 Hours: Dr. Lau reveals that it takes just 16 hours (two days) for a non-coder to build a working agent that connects to WhatsApp or performs OCR.
10 Staff, 80 Roles: How SuperGroup uses a team of just 10 people to do the work of 70 to 80, building multiple products like SuperN8n and KAIN simultaneously .
Retrain or Replace? The guests debate the calculus of keeping legacy staff versus hiring "AI Natives" versus "AI First" employees .
Produced by: Roshan Kanesan
Presented by: Roshan Kanesan
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Categories: technology, managing, Corporates
Tags: artificial intelligence, business strategy, talent upskilling, future of work,
