#68: The AI Skills Gap: How Educational Institutions and Employers Can Prepare Workers for the Future

The Changing State of Talent Acquisition

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11d ago 39:17

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In this thought-provoking episode, we welcome Alex Swartsel, leader of JFF Labs Insights Practice at Jobs for the Future, to explore the growing AI skills gap and its implications for the future of work. Alex shares eye-opening research showing how AI usage in the workplace skyrocketed from 8% to 35% in just one year, while revealing a concerning disparity: 60% of employees are using AI for self-directed learning, yet only 16% have access to employer-provided AI tools.

Our conversation dives into what makes a "quality job" in today's economy and JFF's ambitious mission to see 75 million Americans working in quality jobs within the next decade. Alex unpacks how AI is transforming both educational settings and workplaces, challenging traditional notions of digital literacy and reshaping the skills landscape.

You'll discover why the most valuable future skills may not be AI-specific technical abilities, but rather the "human skills" that AI can't replicate—creativity, critical thinking, communication, and adaptability. Alex also explores how different educational institutions are navigating AI adoption and the policies that could help create more equitable access.

Whether you're an HR professional, educator, or worker navigating this rapidly evolving landscape, this episode offers critical insights on how we can ensure AI becomes a technology that makes everyone better off, rather than deepening existing divides.

Links:

JFF Labs: The AI Ready Workforce Research Findings

Jobs for the Future

Chapters

1. Introduction to Jobs for the Future (00:00:00)

2. Defining Quality Jobs and Accessibility (00:04:20)

3. AI Usage Surge in the Workplace (00:06:27)

4. Individual vs. Institutional AI Adoption (00:11:42)

5. AI Skills Beyond the Technical (00:18:50)

6. AI's Impact on Education and Learning (00:26:52)

7. Creating Equitable AI Frameworks (00:35:00)

8. Nuanced Views on AI's Future Impact (00:36:58)

69 episodes

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