Ajay
Senior R&D Engineer at Ansys with a PhD in computational science from RWTH Aachen University. Work in the area of simulations, machine learning and AI safety.
Session
In an era where new AI models, benchmarks, and frameworks emerge daily, many of us feel caught in a relentless cycle of catching up, what is called "AI fatigue". This talk dives into the causes and consequences of that fatigue, from information overload and social media hype to the constant pressure to stay relevant. Drawing on personal experience and community insights, we explore why chasing every new paper or trend often leads to burnout rather than mastery.
More importantly, we share practical, evidence-backed strategies to stay informed without losing balance: curating a focused “information diet,” setting clear boundaries, using summarization tools intelligently, maintaining a personal knowledge base, and embracing “JOMO”—the joy of missing out. We also discuss how organizations can combat fatigue structurally by promoting focus, curiosity, and psychological safety.
This session is for anyone, from beginners to seasoned professionals, seeking to rediscover genuine curiosity in AI while preserving mental well-being. Attendees will leave with concrete tools, actionable habits, and a renewed sense that it is not only acceptable but healthy to not know everything.