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Explore how artificial intelligence is reshaping engineering leadership roles and learn to navigate the challenges of unrealistic AI expectations in this 23-minute conference talk. Examine industry data revealing negative AI sentiment and declining team motivation, while analyzing sensationalist claims made by prominent industry figures about AI's transformative potential. Understand the psychology behind leadership FOMO and the pressure for forced AI adoption, including real-world examples like Shopify's controversial AI-as-KPI approach and claims of 100x productivity gains. Discover practical strategies for identifying and managing unrealistic stakeholder expectations while protecting your team from demotivating hype cycles. Learn why engineering leaders must take ownership of AI strategy to ensure genuine business value rather than following trends. Investigate the phenomenon of "role blurring" between Engineering Managers, Staff Engineers, and Architects, and understand how the rise of Product Engineering is shifting traditional IC-to-manager ratios. Gain insights into the essential human-centric and problem-solving skills that remain crucial in the AI era, with case studies including Duolingo's total AI transformation and its associated risks. Master techniques for countering productivity myths, fixing motivation decline caused by forced AI adoption, and adapting leadership approaches to the evolving technological landscape.
