AI didn’t create the talent shortage. Employers did.
Only 22% of leaders believe entry-level workers are fully prepared for their jobs, yet employers have reduced internal training and raised credential requirements over two decades. The AI-ready workforce that companies expect to hire at scale does not yet exist, with data scientists, AI engineers, and prompt specialists still scarce and concentrated in few markets.
Read full story →Companies are charging ahead with AI—even though middle managers are not ready for it
Companies are collapsing management layers and prioritizing AI adoption at over 50% of firms, while 75% cite operational efficiency as a goal. However, chief people officers are often excluded from these transformation conversations, potentially limiting organizational change management effectiveness.
Taiwan says it was targeted last month in AI-driven hacking campaign
Taiwan's government agencies faced AI-assisted cyberattacks from overseas in July that targeting multiple government bodies. The Ministry of Digital Affairs confirmed the incidents were successfully contained, though specific details about the attacks' nature or targets were not disclosed.
Leadership now means thinking across industries
Modern organizations face challenges like trust and sustainability that transcend sector boundaries, yet leadership training still emphasizes mastery within single industries. Cross-industry leadership,learning from superyacht builders to rethink universities or applying retail logistics to hospitals,is the skill now required but rarely taught.