『Ep 824: Is AI Creating Talent Debt?』のカバーアート

Ep 824: Is AI Creating Talent Debt?

Ep 824: Is AI Creating Talent Debt?

無料で聴く

ポッドキャストの詳細を見る
Inside most organizations, the pressure has shifted from proving that AI works to showing what it is worth in cost, productivity and headcount. Some workforce plans are now being decided on that basis before anyone has looked closely at how the work is done. The organizations getting the most from AI are treating it as a question of work design rather than technology. So what does designing work around AI involve, and what does it cost the organizations that skip that step? My guest this week is Matt Campbell, Managing Director at Alvarez & Marsal, where he leads the Talent, Organization & People practice and advises organizations on workforce strategy and organization design. In our conversation, he explains why most AI pilots produce an inconclusive result, a five-stage model of AI's impact on work, the ways organizations misread their own people, and why cutting too far, too fast creates a talent debt. In the interview, we discuss: - Why most AI pilots are designed to prove the wrong thing - Who owns AI? - Why big tech's approach to AI and headcount is the wrong template for everyone else - The difference between a job and a role - The five A's: avoid, assist, augment, automate and autonomous - How to put numbers against cost, productivity and capacity - The four things organizations most often get wrong - Why unauthorized AI use gives employees the benefit and the organization the risk - Talent debt and the cost of cutting too far, too fast - Are you designing work around AI, and what does the future look like?
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません