On 27 August 2026, SparkLabs Taiwan and the Taipei Exchange (TPEx) hosted Asia AI Frontiers: From Pilots to Infrastructure in Taipei, a full room of founders, enterprises, and investors from Japan, Singapore, and Taiwan. Klipy co-founder and CEO Jung-Hong Kim joined the closing fireside, From Pilot to Production, alongside speakers from Morale AI, EXEO Innovation Fund Management, and Microsoft Taiwan.
The core argument
Jung's central point was that large language models are collapsing the information value chain inside organizations. Work that used to move through a long chain of human handoffs, each one a place where a decision could stall, now moves in a fraction of the time. The bottlenecks and the decision paralysis that came with those handoffs are the real cost AI removes, well before any headcount question.
Two shifts for enterprises
First, measure the return on AI by the speed and accuracy of your decisions, not only by the headcount you save. Cost savings hit a ceiling quickly, which is why so many AI programs stall after the first efficiency win. Decision speed does not carry the same ceiling.
Second, expect your customers to have already changed. Buyers in both B2B and B2C now lean on AI in how they evaluate and purchase, and they expect near-instant responses in return. The company that delivers its information value chain faster than its competitors starts to win the market, especially in crowded industries where the gap is decided on responsiveness.
Practical advice
Jung closed with two practical points for any enterprise deploying AI agents. Build AI-native workflows rather than patching AI onto legacy processes that should be scrapped and rebuilt. And move the goal from cost-saving to driving growth: the agents that matter are the ones creating new top-line revenue, not just trimming a task.
