Insights & Research
Insights and research from the training room, the boardroom, and the build process.

Singapore’s NAIIP targets 100,000 AI bilingual workers by 2029. But real bilingualism means workflow redesign, not just tool proficiency. Here’s what most organisations are missing.

We work to provide for the people we love, then give all our time to work instead of them. AI is accelerating a pattern that was already broken.

Middle managers are expected to lead AI adoption but rarely get the tools to do it. This article explores the structural gap between mandate and capability, and what actually moves the needle.

AI is cutting jobs structurally and the old entrepreneurship frameworks cannot help. Here is what we actually need to teach people to build new businesses in an AI economy.

77% of employees say AI added to their workload. Based on research and leader interviews, here’s why AI burnout is a leadership and work design failure.

Most companies confuse AI adoption with integration. This four-level framework, built from research and 15 TD leader interviews, shows where organisations really stand.
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