THUNDER Launches Training to Address the Human-Side Bottleneck in the AI Era
The program acknowledges that AI has shifted the rate-limiting step from task completion to organizational decision-making, and that training this skill is now the critical gap.
Reporting from 1 source: ASCII.jp.
THUNDER Co., Ltd. has launched a corporate training program that reframes the AI era bottleneck from task volume to human consensus. The course uses the company's PowerOS framework to identify 29 tasks, then spends five days training only the work that cannot be handed over to AI: building consensus, involving stakeholders, and pushing through decision-making. The program has been adopted by 30 companies in six months.
The framework PowerOS splits 29 workplace tasks into three buckets: work that can be handed over to AI, work to share with AI, and work that only humans can do. The first two include information gathering, minute taking, and drafting materials. The last includes consensus building, involving stakeholders, and pushing through decision-making. AI has not eliminated bottlenecks, the company argues; it has moved them. The rate-limiting step is now human-side, not task volume. Training the ability to push through the answers given by AI within the organization is the focus of the five-day course.
PowerOS is based on practical analysis of high-performing personnel, and after about six months the number of adopting companies has reached 30, ranging from large enterprises to small and medium businesses. All of them, the company says, are stuck at the same point: the speed of organizational consensus has not improved. The course is designed to retrain the one area that gets heavier as AI gets smarter: the human work of moving decisions forward.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.