In daily life, Artificial Intelligence is ubiquitous in our homes, from Alexa buying our groceries with a simple command, to Netflix anticipating what will entertain us through algorithmic ingenuity. But we need a lot more of it in our laboratories--moving science forward for public benefit, and helping us to solve the hardest problems of our time, from climate change and poverty to healthcare and sustainable energy. Why is it that, despite remarkable advances in AI, it is not yet helping us consistently make the kind of breakthroughs that will expand the frontiers of our knowledge, and accelerate the process of scientific discovery? Leaving out scientists from historically underrepresented and underserved backgrounds "limits the breadth of ideas incorporated into AI innovations and contributes to biases and other systemic inequalities." We have no doubt that with the right support, today's early-career scientists are ready to initiate a surge of new findings: more effective drugs, renewable substitutes for plastic, sustainable energy production and storage and deeper insights into our universe and our own biology.