A growing body of thinking in corporate strategy circles is converging on a counterintuitive idea: that the real determinant of whether artificial intelligence helps or hinders progress on sustainability challenges like climate change and inequality isn’t the technology itself, but the governance systems built around it.
Ioannis Ioannou, an associate professor of strategy and entrepreneurship at London Business School, argues that the biggest risks and opportunities tied to AI stem less from its raw capabilities and more from how its development and deployment are governed, who sets the rules, and how transparently those rules are applied.
Ioannou poses the question of what it would look like if the most successful companies no longer needed a separate sustainability strategy at all, because sustainable practices had become embedded into every business decision rather than treated as a distinct, bolted-on agenda.
Central to Ioannou's argument is the observation that declining trust in institutions represents one of the biggest barriers to tackling global challenges collectively, a dynamic that complicates efforts to build the kind of coordinated AI governance frameworks he argues are necessary.
Rather than offering a specific policy blueprint, Ioannou frames the challenge as one requiring new thinking and collective action, arguing that the relevant question isn't whether AI-driven change is coming, but how individuals, companies and institutions choose to shape the governance decisions that will determine its ultimate impact on sustainability outcomes.
