genioux Fact post by Fernando Machuca and Claude
Introduction
In this webinar, "What AI Means for Human Capital," human capital expert Lynda Gratton from London Business School shares insights from her research on how organizations approach the rise of generative AI and its implications for work and the workforce.
genioux GK Nugget
"While generative AI promises productivity gains, ensuring workers augment rather than diminish their skills and harnessing uniquely human capabilities like creativity, judgment, and empathy will be key to unlocking its potential responsibly." — Fernando Machuca and Claude
genioux Foundational Fact
Most organizations are still in the early stages of awareness, exploration, and low-stakes experiments with generative AI, with leaders needing to shape responsible adoption that empowers rather than replaces human potential.
Top 10 genioux Facts
- Generative AI's impact should be viewed at the task rather than job level, aiming for augmentation over substitution.
- Early studies show generative AI can significantly boost productivity, especially for lower and mid-level performers.
- Polls reveal generative AI is a CEO priority for nearly half of respondent organizations.
- Emerging roles like Head of Generative AI blend strategy, collaboration, identifying high-impact cases, and integration.
- Experiments are underway applying generative AI to talent development, knowledge management, and changing how work is done.
- As with past technologies, generative AI will likely create winners who upskill and losers who are displaced if unsupported.
- Individuals' emotional, cognitive, and behavioral responses to AI will be shaped by organizational trust and change management.
- Generative AI can execute tasks faster and more broadly, but humans excel at contextual knowledge, memory, and envisioning the future.
- Creativity is increasingly seen as achievable by AI, raising fundamental questions about the pleasure and meaning of work.
- Critical priorities include identifying the right questions, shaping a change narrative, running experiments, and pinpointing productivity boosts.
Conclusion
While the trajectory of generative AI remains uncertain, proactive leadership that harnesses its potential to augment rather than replace human capabilities, upholds ethics and empowerment, and crafts a compelling vision will be essential to navigate the transformational journey ahead.
REFERENCE
The g-f GK Webinar
What AI Means for Human Capital, MIT Sloan Management Review, YouTube channel, March 4, 2024.
Leaders are deeply uncertain about AI’s consequences for work and the workforce. As organizations experiment with the technology and consider how they can most productively and profitably use it, they are discovering new terrain and uncovering new questions. Human capital expert Lynda Gratton explores the way forward in an interactive webinar where she shares her own findings and engages with the audience to learn what issues are arising for organizations and workers.
Lynda Gratton
Lynda Gratton is a British organizational theorist, consultant, and Professor of Management Practice at London Business School¹. She is also the founder of HSM Advisory, known for her work on organisational behaviour¹. Gratton started her career at British Airways as Chief Psychologist, later moving to the management consultancy firm PA Consulting Group¹.
In 2005, she founded HSM Advisory, a specialist research and consulting team that bridges academia and business¹. She has worked with many of the world's biggest companies, including Vodafone, Shell, and Unilever¹. Gratton is a Fellow of the World Economic Forum and has chaired the WEF Council on Leadership¹.
She is the author of several books, including "The 100-Year Life: Living and Working in an Age of Longevity", which was shortlisted for the 2016 Financial Times and McKinsey Business Book of the Year Award¹. Her work focuses on how to place employees in the context of a business with all its competing attractions, and how organisations should understand and empower staff¹..
Source: Conversation with Bing, 3/7/2024
(1) Lynda Gratton - Wikipedia. https://en.wikipedia.org/wiki/Lynda_Gratton.
(2) Lynda Gratton. https://lyndagratton.com/.
(3) Lynda Gratton - Inspiring and Engaging Leadership Speaker. https://www.speakersassociates.com/speaker/lynda-gratton/.
(4) Lynda Gratton | How Leaders Face the Future of Work. https://sloanreview.mit.edu/article/how-leaders-face-the-future-of-work/.
(5) Getty Images. https://www.gettyimages.com/detail/news-photo/lynda-gratton-author-of-the-sh-ft-talks-about-management-news-photo/1125259038.
Claude's Summary
The webinar, hosted by Lynda Gratton from London Business School, explores how organizations approach the rise of generative AI and its implications for work and the workforce. Gratton shares insights from her research and conversations with corporate leaders, highlighting both the potential productivity gains and the need to ensure that workers augment rather than diminish their skills in the process.
Gratton begins by discussing the democratization of AI and its potential to change the trajectory of work. She emphasizes the importance of viewing AI's impact at the task level rather than the job level, with the goal of augmentation over substitution. Early studies show that generative AI can significantly boost productivity, especially for lower and mid-level performers.
Polls conducted during the webinar reveal that generative AI is already a CEO priority for nearly half of respondent organizations, with most in the early stages of awareness, exploration, and low-stakes experiments. Emerging roles like Head of Generative AI are blending strategy, collaboration, identifying high-impact cases, and integration.
Experiments are underway applying generative AI to talent development, knowledge management, and changing how work is done. However, Gratton cautions that as with past technologies, generative AI will likely create winners who upskill and losers who are displaced if unsupported. Organizational trust and change management will shape individuals' emotional, cognitive, and behavioral responses to AI.
While generative AI can execute tasks faster and more broadly, Gratton emphasizes that humans excel at contextual knowledge, memory, and envisioning the future. As AI increasingly achieves creativity, it raises fundamental questions about the pleasure and meaning of work.
Gratton concludes by highlighting critical priorities for organizations navigating the AI revolution, including identifying the right questions, shaping a change narrative, running experiments, and pinpointing productivity boosts. Ultimately, proactive leadership that harnesses AI's potential to augment human capabilities, upholds ethics and empowerment and crafts a compelling vision will be essential to navigate the transformational journey ahead.
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