The J Curve in Generative AI Transformation

This week’s must-read for Legal Operations leaders shaping AI strategy: Harvard Business Review’s “Why Companies That Choose AI Augmentation Over Automation May Win in the Long Run,” by Jan-Emmanuel De Neve, Jeffrey T. Hancock, and Kate Niederhoffer.

The piece explores the “productivity J-curve” that comes with deploying generative AI. Automation offers quicker, incremental gains—but limited transformation.

Augmentation, by contrast, can involve a longer dip while organizations rethink how work gets done, but ultimately unlocks more durable and meaningful change.

“Augmentation is about inventing the future rather than automating the past.”

The authors frame generative AI as a leadership challenge: investing in people, committing to transparent communication, and taking a long-term view on value creation. Central to this is enabling employees to act as AI “pilots,” not passengers—co-developing tools, redesigning workflows, and building capability across the organization.

In the end, the organizations that benefit most from AI won’t be those that replace people fastest—but those that empower them most effectively.

The conclusion is particularly compelling and worth reading in full, underscoring that this path requires imagination, sustained investment, and trust in teams—but offers the greatest long-term advantage.