AI as an intern: why human skills still matter in the workplace

Ethan Mollick, an AI researcher and associate professor at The Wharton School, offered a candid perspective on AI's role in the workplace during a recent Salesforce event. While AI is powerful, it's not a panacea, and organizations must move beyond the simplistic 'human in the loop' approach to adoption. Mollick compares AI to an intern, capable but prone to mistakes, and warns that relying too heavily on it can lead to de-skilling, where workers lose essential abilities by outsourcing tasks to machines.

Mollick argues that AI inevitably changes the skills we need, sometimes for the worse. He points to historical examples, like his grandfather using slide rules and matrix math, skills now largely obsolete. The challenge, he says, is deciding which skills to preserve and which to let go. 'We get to decide what we're outsourcing,' he notes, but that requires deliberate effort, a shift many companies aren't yet ready to make.

Despite his warnings, Mollick isn't anti-AI. He believes human judgment is overrated, pointing out that AI constantly exercises creativity and decision-making, though not always in the same way humans do. He also highlights AI's ability to mimic expert opinions, routing answers based on specialized knowledge. However, he stresses that human input remains crucial for diversity and innovation, urging businesses to design workflows where AI handles mundane tasks while humans focus on meaningful problems.

The alternative, he warns, is a grim future where workers are reduced to mere proofreaders of AI-generated content, a demoralizing and unsustainable role. Instead, companies should aim to integrate AI in ways that elevate human potential, ensuring that the technology augments rather than replaces essential skills.