After a procession of overhyped technologies like Web3, the metaverse, and blockchain, executives are bracing for the tidal wave of generative AI, a shift some consider to be on par with the advent of the internet or the desktop computer. But with power comes responsibility, and generative AI offers as much risk as reward. The technology is testing legal regimes in copyright and intellectual property, creating new cyber and data governance threats, and setting off automation anxiety in the workforce. Organizations need to Organizations need to move quickly to keep up with stakeholder expectations, yet they must proceed carefully to ensure they do not fall foul of regulations or ethical standards in areas like data privacy and bias. Operationally, enterprises need to reconfigure their workforce and forge partnerships with tech companies to design safe, effective, and reliable generative AI.