Generative AI is overtaking the world and changing everything from how business is won to how the Internet is done. Companies around the globe are scrambling to find or grow talent to steer from their AI helms. But it's not easy to figure out a staffing strategy beyond an acknowledgement of the general need for such.
"With the speed at which generative AI developments are advancing, it is no secret that virtually all brands will need to have some level of AI proficiency within their organizations," says Ashu Dubey, co-Founder & CEO of Gleen AI in an email interview. "It would be smart to have some team members that are experienced in using AI tools."
But that's easier said than done. Until OpenAI busted loose with a free and very public ChatGPT model last year, most workers had never heard of generative AI, let alone studied or gained experience in working with it.
Yet it can't be that hard to work with, right? It's a conversational chatbot, for goodness sakes. And all the other generative AI models and flavors work in natural language, too.
Obviously, the new coding language is human. Users can just type or say what they need in a prompt bar, and the AI does it. Easy, except not.
Why are so many humans bad at prompting generative AI? And more importantly, how do businesses overcome this talent shortage if you can't easily measure or predict who is good at chatting up an AI app?
The problem seems absurd on the surface. Shouldn't using generative AI be as easy as using a digital assistant like Siri, Alexa, or Google Assistant?
A deeper look reveals that digital assistants are more akin to personalized search engine manifestations than the far more evolved generative AI models. It is AI's intelligence that requires a more thoughtful exchange between human and machine. Hence, the search for specialized prompting skills. …
