Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore how engineering leadership roles are evolving in the AI era through this 23-minute conference talk that challenges common misconceptions about AI productivity and provides practical strategies for sustainable team management. Examine industry data revealing negative AI sentiment and declining team motivation, while learning to identify and counter sensationalist claims about "100x productivity" improvements that create unrealistic stakeholder expectations. Analyze real-world case studies including Shopify's AI-as-KPI approach and Duolingo's total AI transformation to understand both opportunities and risks of AI adoption. Discover why engineering leaders must take ownership of AI strategy rather than simply reacting to external pressures, and learn to navigate the blurring boundaries between Engineering Manager, Staff Engineer, and Architect roles. Understand the rise of Product Engineering and shifting IC-to-manager ratios while developing essential human-centric and problem-solving skills that remain crucial despite technological advances. Gain actionable insights for protecting your team from forced AI adoption, building sustainable AI strategies that deliver genuine business value, and leading cultural change that prioritizes people over tools in an increasingly AI-driven landscape.
