Prompt Engineering Is Dead. Long Live Prompt Engineering.
Two years ago, "prompt engineer" was the hottest job title in tech. LinkedIn was flooded with people claiming the title. Courses sold for thousands of dollars. Companies hired dedicated prompt engineers at six-figure salaries. The pitch was simple: the key to getting good results from AI is knowing how to ask: and that's a real skill worth paying for.
Today, many of those positions have been eliminated. The dedicated prompt engineering role is dying. But the skill itself has never been more important. Understanding this paradox is crucial for anyone working with AI.
The prompt engineering role assumed that crafting prompts was so specialized that it needed a dedicated person. This turned out to be wrong for several reasons:
Models got better at understanding intent. GPT-4 and Claude 3.5 understand natural language prompts far better than their predecessors. You no longer need elaborate tricks to get good output. "Summarize this document" works as well as a carefully crafted multi-paragraph instruction in most cases.
The domain expert beats the prompt expert. A doctor who knows what questions to ask about a patient case gets better medical AI output than a prompt engineer who knows the right formatting tricks but doesn't understand medicine. Domain knowledge turned out to matter more than prompting technique.
It's everyone's job now. Using AI effectively became a general skill, like using Google Search or Excel. You don't have a "Google Search Engineer" on your team: everyone searches. Similarly, everyone prompts.
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