CORPORATE AMERICA BEHIND THE WALLS OF EA NS GHTS I I
test and learn
Fear is the biggest obstacle to innovation. The hesitation to test and learn, to step into uncharted territory, often stems from the fear of failure—of making mistakes, of looking unprepared, of stepping outside the comfort zone. But here’s the reality, not leaning in with curiosity is the only real failure. Every entrepreneur, every innovator, every leader who has shaped the future has encountered setbacks along the way. But they stayed the course. They understood that confidence isn’t built through certainty; it’s built through exploration, adaptation, and resilience. As the workplace behind the walls of corporate America transforms with artificial intelligence [AI], EAs have an unparalleled opportunity to rewrite the standard office procedures, guidelines and protocols for the entire workforce. Experts in leveraging AI to drive efficiency, innovation, and high- level decision-making will be at the core of this transformation. Administration remains the operational anchor throughout this shift, continuing to architect workflows regardless of the methods used to get there. The key is knowing which platform and type of AI model to use and interact with that will solve for complexity, calendar woes and overall gaps in operational efficiency.
Prompt engineering—the skill of crafting precise, strategic inputs to get optimal AI outputs—will be a key driver of productivity and will ultimately redefine multiple administrative job families.
Creating and managing AI agents is a natural next step after understanding how generative AI works and how neural language models are transforming our world. While we are already using AI in some shape or form, diving deeper into the anatomy of this new technology will allow for further testing, experimenting and innovating the things we do with it. This isn’t an operational upgrade—it’s a career transformation. Organizations are looking for AI- literate humans who can help deploy and integrate AI into the workforce. Those who are honing this skill will quickly become the go-to experts.
As Ethan Mollick, a professor at Wharton and a leading voice in AI, puts it: “You have to actually use AI to understand it. Just reading about it is like reading about a bicycle and assuming you know how to ride it.”
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