<p>This past fall, Clinical Professor and Chair of the <a href="https://www.sps.nyu.edu/about/academic-divisions-and-departments/division-of-programs-in-business/human-capital-management.html">Human Capital Management Department</a> <a href="https://www.sps.nyu.edu/faculty-directory/13205-anna-a-tavis.html">Anna Tavis</a> participated in Charter Leadership Forum's roundtable discussion of <i>What Older Workers Need to Navigate the AI Age</i>.</p>
<p>Topics included biggest misconceptions about older workers' ability to adopt AI, how organizations can help employees confidently learn new tools, and how leaders can reimagine roles in the AI age without sidelining experienced talent.</p>
Generative AI has shifted the computing paradigm from syntax (code) to semantics (language). In this new era, the learning curve doesn’t prioritize speed and technical skills but it favors wisdom."
Anna Tavis
Clinical Professor and Chair, Human Capital Management Department
Director, NYU Coaching Innovation Lab
<p>"Do not redesign jobs," says Tavis. "redesign tasks. Use AI to automate the novice-level work, thereby elevating the veteran to a role of 'editor-in-chief' or 'system Architect.' Redesign roles so the experienced employee is the necessary “circuit breaker” or validator of AI output. Their experience is the safety net."</p>
<p><a href="https://time.com/charter/7335613/charter-leadership-forum-what-older-workers-need-to-navigate-the-ai-age/">READ FULL ARTICLE</a></p>