As the landscape of artificial intelligence continues to evolve, so does the way we interact with it. 'Prompt engineering,' which involves crafting specific inputs to elicit desired responses from AI systems, has been at the forefront of this user-AI dynamic. It has enabled users to guide AI responses in more predictable directions, enhancing the utility of technology in various applications, from content creation to coding assistance. However, the era of prompt engineering being a forefront methodology may be coming to an end. With advancements in AI understanding and autonomous functionality, these systems are increasingly sophisticated, understanding more natural language inputs without the need for such precise prompting. The shift away from prompt engineering signifies an important milestone in the maturation of AI technology. Instead of relying on users to navigate the complexities of an AI's language model, the onus of understanding is gradually shifting towards the AI itself. This evolution not only simplifies user interactions but also expands the potential user base to those who may not have the expertise or inclination to learn prompt engineering techniques. It heralds a new phase of intuitive AI design that prioritizes ease of use and accessibility. Moreover, the article's author, Dina Genkina, brings a unique perspective to the subject with her background in atomic physics and her role as an associate editor at IEEE Spectrum focusing on computing and hardware. Genkina's understanding of the intricate workings of technology adds depth to the discussion about the transformation occurring within the realm of AI. This transformation has broader implications, potentially changing the development trajectory of AI and affecting how industries integrate and leverage artificial intelligence in the future.