Salesforce10/26 07:00 UTCJapanese
Working with AI: Top Influencers on the Work They Delegated and the Work They Still Do Themselves
The interview series asks leading figures in various fields where the line lies between work handed to AI and work they deliberately keep. It looks at what work they refuse to let go of, as a way to help readers find the core of their own work.
Read the original →Nikkei XTECH10/27 20:00 UTCJapanese
Define "Real Results": The Role of Middle Managers in AI Reskilling
Setting the direction for AI use is a management role, but spreading AI use across the workplace falls to the AI promotion department and middle managers who head each department. This installment considers what middle managers should do.
Read the original →KeyMan's Net10/27 22:00 UTCJapanese
AI Adoption Raises Difficulty of Hiring IT Engineers; Which Roles Now Require Higher Skills?
Some companies are hiring more IT engineers as generative AI spreads, while many others feel hiring has become harder. A Levtech survey found 66.4% of companies said hiring difficulty had risen. 47.7% raised the annual salary they offer, pointing to higher job requirements and tougher competition for talent.
Read the original →Nikkei XTECH10/26 20:00 UTCJapanese
A "Whole-Organization Optimization" View Is Key: The AI Promotion Department's Role in AI Reskilling
Many companies that have adopted AI have handed out AI licenses to all employees but have seen usage rates stay low. The author suggests reviewing KPIs in such cases. Alongside adoption KPIs such as the license distribution rate, the author says it is important to set value KPIs covering changes in employee behavior and business results.
Read the original →