g-f(2)2148 Beyond Automation: How AI Redefines Work, Workers, and Workforce Ecosystems

 

genioux Fact post by Fernando Machuca and Claude

Introduction:

In the video "How AI Changes Your Workforce" from MIT Sloan Management Review, David Kiron, Editorial Director of Research for MIT Sloan Management Review, and Liz Altman, Associate Professor of Management at the Manning School of Business, University of Massachusetts Lowell, discuss the profound impact of AI on work, the workplace, and workers. They explore the nuances of how AI is reshaping the workforce ecosystem, going beyond the simplistic narratives of job automation and delving into the complex ways AI is transforming work design, talent acquisition, and performance measurement.

genioux GK Nugget:

"AI is not just about automating or augmenting jobs; it's redefining what performance means in an organization and transforming the entire workforce ecosystem." —  David Kiron and Liz Altman, March 28, 2024

genioux Foundational Fact:

AI is revolutionizing the workforce ecosystem by influencing multiple dimensions of work, including the design of work, the supply of workers, and the measurement of performance. Organizations like Novartis are leveraging AI to create integrated systems that help them make data-driven decisions about their workforce composition, balancing internal and external contributors. AI is not merely a tool for automating tasks or finding talent; it is a catalyst for redefining performance metrics and enabling organizations to navigate the complexities of a more interconnected and extended workforce.

The 10 most relevant genioux Facts:

1. AI is transforming work design, worker supply, and performance measurement, going beyond simple automation or augmentation.
2. Over 90% of managers believe that external contributors are part of their workforce, highlighting the importance of workforce ecosystems.
3. Some organizations have 30-50% of their workforce composed of external or contingent workers, leading to more complex relationships and interrelationships.
4. Novartis is developing an integrated "talent intelligence" system that uses AI to help with workforce decision-making and trade-offs.
5. AI is not just a single software app; it involves multiple levels of AI, data management, and systems integration across various functions like HR and procurement.
6. The framework for understanding AI in workforce ecosystems includes supplying workers, conducting work, and measuring performance.
7. AI is being used to augment performance and redefine what performance means in an organization.
8. The increased reliance on contingent workers and gig workers has societal implications, as these workers may not have the same benefits as full-time employees.
9. There is variation in the preferences of contingent workers, with some prioritizing higher pay and flexibility over benefits.
10. Understanding the assumptions and using technologies to gain insights into workforce preferences is crucial for organizations navigating the changing landscape.

Conclusion:

The video "How AI Changes Your Workforce" provides a nuanced and insightful perspective on the far-reaching impact of AI on work, workers, and the workforce ecosystem. By exploring real-world examples and challenging simplistic narratives, David Kiron and Liz Altman demonstrate the complex ways in which AI is reshaping the future of work. As organizations navigate this shifting landscape, it is crucial to adopt an integrated approach that considers the multiple dimensions of work transformed by AI, from work design and talent acquisition to performance measurement and workforce composition. By leveraging AI to make data-driven decisions and redefine performance metrics, organizations can better navigate the complexities of an increasingly interconnected and extended workforce, ultimately driving value creation and success in the era of AI.

REFERENCE

The g-f GK Video

How AI Changes Your Workforce, MIT Sloan Management Review, March 28, 2024.

Video Credits

Elizabeth Altman is an associate professor of management at UMass Lowell’s Manning School of Business.

David Kiron is the editorial director, research, at MIT Sloan Management Review.

M. Shawn Read is the multimedia editor at MIT Sloan Management Review.

Classical Summary:

In the video "How AI Changes Your Workforce," David Kiron, Editorial Director of Research for MIT Sloan Management Review, and Liz Altman, Associate Professor of Management at the Manning School of Business, University of Massachusetts Lowell, engage in an insightful discussion about the profound impact of AI on work, the workplace, and workers. They explore the nuanced ways in which AI is reshaping the workforce ecosystem, challenging simplistic narratives of job automation and highlighting the complex interplay between AI, work design, talent acquisition, and performance measurement.

Kiron and Altman begin by tracing the origins of their research collaboration, which initially focused on the growing importance of external contributors in the workforce. They discovered that over 90% of managers considered external contributors as part of their workforce, with some organizations having 30-50% of their workforce composed of external or contingent workers. This shift in workforce composition has led to more complex relationships and interrelationships within organizations.

The discussion then delves into how AI is transforming multiple dimensions of work, going beyond mere automation or augmentation. Kiron emphasizes that AI is redefining what performance means in an organization, influencing work design, worker supply, and performance measurement. The experts cite the example of Novartis, which is developing an integrated "talent intelligence" system that leverages AI to help with workforce decision-making and trade-offs, considering factors such as skills, costs, and the balance between internal and external contributors.

Altman highlights the importance of understanding AI's impact on the workforce ecosystem through a framework that includes supplying workers, conducting work, and measuring performance. She notes that AI is being used not only to find talent but also to augment performance and redefine performance metrics. Kiron adds that AI's implementation involves multiple levels of AI, data management, and systems integration across various functions, such as HR and procurement.

The conversation also touches on the societal implications of the increased reliance on contingent workers and gig workers, who may not have the same benefits as full-time employees. Altman points out the variation in preferences among contingent workers, with some prioritizing higher pay and flexibility over benefits. Understanding these assumptions and leveraging technologies to gain insights into workforce preferences is crucial for organizations navigating the changing landscape.

In conclusion, the video provides a nuanced perspective on the far-reaching impact of AI on work, workers, and the workforce ecosystem. As organizations navigate this shifting landscape, adopting an integrated approach that considers the multiple dimensions of work transformed by AI is essential. By leveraging AI to make data-driven decisions and redefine performance metrics, organizations can better navigate the complexities of an increasingly interconnected and extended workforce, ultimately driving value creation and success in the era of AI.

Elizabeth J. Altman

Dr. Elizabeth J. Altman is an Associate Professor of Management at the Manning School of Business, University of Massachusetts Lowell¹. She is also a research affiliate at the MIT Initiative on the Digital Economy¹. 

Altman's research interests include strategy, innovation, platform businesses and ecosystems, future of work, workforce ecosystems, AI and emerging technologies, organizational identity, and organizational change¹. She teaches strategy, organizational theory, and human resources management in undergraduate, MBA, and doctoral programs¹.

She is the lead author of the book "Workforce Ecosystems: Reaching Strategic Goals with People, Partners, and Technologies" (MIT Press)¹. Altman spent 19 years in industry, including executive and leadership roles in industrial design, product development engineering, manufacturing, marketing, and strategy at Motorola¹.

Altman holds a DBA in Management from Harvard Business School, an MS in Management and an MS in Mechanical Engineering from Massachusetts Institute of Technology, and a BS in Mechanical Engineering from Cornell University¹.

Source: Conversation with Bing, 3/30/2024

(1) Elizabeth Altman | Manning School of Business | UMass Lowell. https://www.uml.edu/MSB/faculty/Altman-Elizabeth.aspx.

(2) Elizabeth Altman | Research | UMass Lowell. https://www.uml.edu/research/climate-change/faculty-and-staff/altman-elizabeth%20.aspx.

(3) Elizabeth Altman, D.B.A. | UMass Lowell. https://www.uml.edu/profile/Elizabeth_Altman.

(4) Elizabeth J. Altman - Scholars at Harvard. https://scholar.harvard.edu/sites/scholar.harvard.edu/files/altman/files/elizabeth_j._altman_-_cv_9-7-22.pdf.

David Kiron

David Kiron is the Editorial Director of Research at MIT Sloan Management Review¹. He was previously a senior researcher at Harvard Business School and a research associate at the Global Development and Environment Institute at Tufts University¹. Kiron holds a PhD in philosophy from the University of Rochester and a BA from Oberlin College¹. He is also the Program Lead for MIT Sloan Management Review's Big Ideas research initiatives³. His work involves overseeing the creation and distribution of management research and resources to guide leaders in the digital economy¹.

Source: Conversation with Bing, 3/30/2024

(1) David Kiron - MIT Sloan Management Review. https://sloanreview.mit.edu/david-kiron/.

(2) David Kiron - MIT Press. https://mitpress.mit.edu/author/david-kiron-32317/.

(3) Analytics: The Widening Divide - MIT Sloan Management Review. https://sloanreview.mit.edu/projects/analytics-the-widening-divide/.

(4) David Kiron is the Editorial Director at MIT Sloan Review | Starling .... https://insights.starlingtrust.com/contributor/david-kiron.

(5) undefined. https://sloanreview.mit.edu/wp-content/uploads/2017/02/dkiron-250.jpg.

M. Shawn Read

M. Shawn Read is the Multimedia Editor at MIT Sloan Management Review¹. In this role, she is responsible for the creation and editing of multimedia content, including videos, podcasts, and interactive media. Her work contributes to the dissemination of management research and resources to guide leaders in the digital economy¹.

Source: Conversation with Bing, 3/30/2024

(1) How AI Changes Your Workforce - MIT Sloan Management Review. https://sloanreview.mit.edu/article/how-ai-changes-your-workforce/.

(2) MIT Sloan Management Review. https://sloanreview.mit.edu/.

(3) MIT Sloan Management Review - Spring 2020 (PDF) @ PDF Room. https://pdfroom.com/books/mit-sloan-management-review-spring-2020/ZOgZo3Qx2kb.

(4) MIT Sloan Management Review. https://sloanreview.mit.edu/page/3/.

(5) MIT Sloan Management Review (SMR) | ILP. https://ilp.mit.edu/node/36769.

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References

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2148, Fernando Machuca and Claude, March 28, 2024, Genioux.com Corporation.

 

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