The article critiques the flawed approach many product teams take when developing solutions. It highlights a common misconception that success stems from rigidly following predetermined plans. Instead, it argues that effective problem-solving requires adapting to real conditions, much like hockey players anticipate the puck's movement rather than relying on an ideal game scenario. The author emphasizes that many teams fall into a pattern of confirmation bias, where they only seek validation for their preconceived ideas, leading to superficial research practices. Generative AI is presented as a prime example of this "better than nothing" mentality. The author points out how companies use AI tools that often produce misleading or inaccurate results, which can mislead decision-making and create a false sense of productivity. The discussion touches on the negative consequences of AI adoption, including a drop in hiring quality and increased costs due to the need for additional verification of AI-generated work. The reliance on AI fosters a culture of responsibility avoidance, pushing the burden onto others within the organization. A critical perspective on the prevailing narrative around AI adoption is presented, arguing that the focus should not be on simply learning to use AI tools but on analyzing the systems that create them. The article warns against the defeatist attitude that accepts AI as an unchangeable force, suggesting that this mindset hinders progress. Instead, it advocates for a more discerning approach, encouraging individuals to recognize the limitations of AI and to challenge the framing imposed by the industry. The call to action is clear: instead of passively accepting AI's influence, stakeholders should actively seek out better methods and frameworks for their work.