In the fast-moving AI research, one of key people to drive innovation is Ilya Sutskever. This work examines how the culture of curiosity and rigorous experimentation can result in huge leaps forward for AI technologies. Active experimentation in which hypotheses are tested, models refined and alternative strategies explored; and curiosity that questions the status quo, searches for new ways and asks what if? The study uses mixed-methods for this, quantitatively analyzing successful AI projects as well as qualitatively via case studies involving AI pioneers and organizations. It considers ones experimental design and how experimentation struggles, curiosity of the problem and test that constraints intellectual innovation. The work also examines the role that creating what it describes as an “explore-then-exploit” environment contributes to major progress in robotics. These investigation results can also make clear why the quest for knowledge-driven experimentation not only speeds up the natural development of new AI techniques, but also strengthens the ability to adapt and completely skip piercing conventional ego barriers. We identify effective strategies for fostering a culture of curiosity, including resource appropriation for exploratory projects and interdisciplinary collaboration. AI research which is actionable into the product and by the organization that shows how cultivating curiosity while keeping a strong experimental setup drives innovation. Enabling and promoting inquiry and active experimentation can unveil uncharted territories in AI, helping stakeholders to realise significant technology breakthroughs.