Skip to main content

AI: Disruption and Adaptation

Dissecting the transformative power of AI.

Delve deeper into developments in artificial intelligence, especially the disruptions across value chains. This series examines AI’s impact on a range of sectors, including business consulting, education and the media. It also sizes up the regulatory and ethical questions tied to this game-changing technology.  

Dissecting the transformative power of AI.

Sort by:


ChatGPT vs. Hybrids: The Future Depends on Our Choices

Phil Parker

Imposing the equivalent of a worldwide moratorium on generative artificial intelligence is absurd. But developers might want to pause and reflect on what they hope to achieve before releasing AI applications to the public.


How Will ChatGPT Shape Business, Society and Employment?

Geraldine Ee

Will next-generation AI systems such as ChatGPT deliver the productivity boost modern economies need – and are we ready for it?


What Machine Learning Tells Us About Gender Stereotypes

Rachel Eva Lim

Machine-learning models offer insights into how putting women in leadership positions affects gender stereotypes in the workplace.


Can AI Help You Strategise Better?

P. Puranam, P. Sen

Machine learning algorithms can uncover intricate patterns in big data and enable managers to strategise with more confidence.


Responsible AI Has Become Critical for Business

C. Zeisberger, A. Bose

Investors need to prioritise the ethical deployment of AI – too much is at stake if they don’t.


A “Human” Understanding of the World Through AI

David Midgley 

Information search could be made less biased and more holistic through the lens of empathy.


How Can Managers Use AI to Find the Right People?

S. Black, P. van Esch

Eight recommendations to help firms win the war for talent.

Leadership & Organisations

Creating People-Centric International Organisations With AI

R. McLachlin, K. Tatarinov, T. Ambos, P. Puranam

The United Nations is both a fascinating playground for artificial intelligence applications and a showcase of AI implementation problems and solutions.


ENGIE: Powering the Energy Transition With Data

P. Boza, T. Evgeniou, M. Sarkar

What does it take for a utility company to develop a data- and AI-driven software business?
1 comment


Venture Capital Crucial to Push for ‘Ethical’ AI and Tech Standards

T. Evgeniou, C. Zeisberger

Venture capitalists’ role as funding source and mentor of tech start-ups makes them uniquely placed to press for more responsible use of technology.

Leadership & Organisations

AI: A World of New Opportunity and Risk

T. Evgeniou, K. Firth-Butterfield, A. Sarkar, C. Zimmerman

A new toolkit for C-suite execs on how to responsibly adopt artificial intelligence.
1 comment


How Should Humans Collaborate With AI?

Phanish Puranam

When bringing algorithms and employees together, businesses should respect rather than ignore human preferences.
1 comment


Three Key Steps to Prepare for Data and AI Leadership

C Zimmerman, K Walsh, J McMillan, T Evgeniou

To harness the potential of new technology, today’s data-driven business leaders must also be politicians and communicators.
1 comment


What Companies Tend to Get Wrong About AI

Jenny Watkins

In the stampede to build an AI strategy, executives fall into four main traps.


The World’s Most Talent Competitive Countries, 2020

F. Monteiro, B. Lanvin

How artificial intelligence is shaping talent competitiveness around the world.
1 comment