A new report examines whether AI can improve the odds of a successful IVF pregnancy by focusing on how some fertility clinics are using AI for sperm and embryo selection. The piece highlights the current clinical use pattern—AI-assisted selection tasks—while also quoting fertility experts who question whether these tools will translate into higher live birth rates. That distinction is central to IVF stakeholders because improvements in lab metrics do not always yield measurable gains in pregnancy and birth outcomes. For clinics and device developers, the practical implication is that evidence standards for AI in reproductive medicine likely need to move beyond feasibility and into clear, outcome-based validation. The story underscores the debate over what constitutes meaningful clinical benefit.