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Solving the "People Bottleneck" in AI Adoption

Warren Leow, Founder, SuperN8N | Dr Lau Cher Han, CEO, LEAD

26-Jan-26 11:00

Solving the "People Bottleneck" in AI Adoption

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:  technologymanagingCorporates

Tags:  artificial intelligencebusiness strategytalent upskillingfuture of work





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