The rise and fall of prompt engineering: How a promising AI profession became obsolete in a very short time – Image: Xpert.Digital
Why Prompt Engineers disappear faster than they arrived
The rise and fall of the hottest AI job of 2023
The once-touted career of Prompt Engineer has had a remarkably short lifespan. While large-scale language models like ChatGPT are revolutionizing the workplace, it appears that specialized roles for formulating optimal input will be largely obsolete by 2025. According to recent reports in the Wall Street Journal, the "hottest AI job of 2023" has virtually disappeared from the job market within just a few years. The rapid development of more powerful AI models, which are becoming increasingly adept at understanding user intent, has led to prompt skills now being sought as a general skill rather than a standalone job title. This development exemplifies the unprecedented speed at which AI technologies are transforming the job market.
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The brief history of Prompt Engineering
The term "prompt engineering" emerged with the proliferation of large language models (LLMs) and refers to the art of formulating precise instructions to elicit optimal responses from AI systems. Between 2022 and 2023, interest in this field increased rapidly, developing into a much-discussed new profession within the tech industry.
The peak: Gold rush atmosphere 2023
At the end of 2023, prompt engineering was considered one of the most sought-after new jobs in the technology sector. A video from the Wall Street Journal in November 2023 showed that companies were offering salaries of up to $250,000 per year for this role. The video demonstrated that prompt engineering was seen as an entirely new type of job, made possible by the advent of large language models like ChatGPT.
The core of this work involved writing text inputs, or "prompts," to elicit the best possible responses from generative AI systems. The logic behind it was simple: the better the input, the better the output. Prompt engineers were seen as translators between humans and machines, making complex technology accessible even to people without programming knowledge.
The rapid disillusionment
Despite the initial enthusiasm and promises of high salaries, disillusionment quickly set in. As Jared Spataro, Chief Marketing Officer for AI at Microsoft, noted: “Two years ago, everyone was saying, ‘Oh, I think Prompt Engineer is going to be the hot job.’ That’s not proving to be true at all.” This statement illustrates how quickly expectations surrounding this profession have changed.
The reality in 2025 looks different: Isabelle Bousquette of the Wall Street Journal found that she knew no one with the job title "Prompt Engineer," and the tech executives she spoke to couldn't provide any examples either. What began as a promising career path has virtually disappeared within just two years.
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Reasons for the rapid decline
The rapid decline of prompt engineering as an independent profession can be attributed to several technological and organizational developments that together have led to a situation where specialized prompt engineers are hardly in demand today.
Technological advances in AI models
A key factor in the decline is the rapid evolution of AI models themselves. Newer versions of large language models have become significantly better at intuitively understanding user intent. This reduces the need for highly specialized professionals to formulate the perfect input.
Modern AI systems can now ask clarifying questions if they don't fully understand an instruction. This interactive capability makes sophisticated prompt techniques less important, as the models themselves can use the dialogue to clarify issues.
Deloitte's annual "Tech Trends" report for 2025 identifies three pillars driving AI development: small language models, multimodal models, and agent-based AI. These developments are changing the way we interact with AI and increasingly rendering specialized prompt formulation obsolete.
Democratization of Prompt knowledge
Another important reason is the widespread dissemination of prompt skills within companies. Instead of relying on individual specialists, companies are now training employees in various roles in the effective use of AI models. Jim Fowler, CTO of Nationwide, sums it up succinctly: "We're seeing this become a skill within a job title, not a separate job title.".
This democratization of knowledge reflects the general trend towards distributing AI skills broadly, rather than concentrating them in isolated expert roles. This allows more employees to effectively use AI tools in their specific areas of work.
Integration into existing job profiles
What was once conceived as a standalone profession has evolved into a component within existing roles. AI prompting skills are now viewed as complementary to existing job profiles, not as a separate career path. This integration reflects a more realistic approach to how AI is being embedded in the workplace.
Hannah Calhoon, VP of AI at Indeed, confirms: "We haven't necessarily seen many actual hires for this role." This suggests that despite the initial hype, the real demand for pure Prompt Engineers was limited.
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Adaptation instead of specialization: The future of AI skills
The transformation of the labor market through AI
The case of prompt engineering exemplifies the rapid changes AI is bringing to the labor market. This development fits into a broader pattern where AI is both eliminating jobs and creating new ones, but at an unprecedented pace.
Changing requirements for tech jobs
The job landscape in the technology sector is becoming increasingly complex and confusing. According to the Wall Street Journal, job titles have become "more diverse, ambiguous, overlapping, and sometimes meaningless." This is especially true in the field of AI, where new roles emerge and disappear before a general understanding of their meaning can take hold.
While prompt engineering is declining in importance as a standalone discipline, the demand for other AI-related skills is increasing. Comments on LinkedIn suggest that AI systems engineers and other positions requiring deeper technical knowledge are now in higher demand.
Impact on software development
AI is not only changing the roles surrounding AI itself, but also established professions such as software development. AI-powered coding tools, which can automate significant parts of the coding process, contribute to efficiency gains of over ten percent and enable faster code production.
This development could lead to leaner development teams and higher requirements for hiring new employees, as companies increasingly rely on generative AI coding tools. This is yet another example of how AI is transforming existing professions.
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The future of prompt competence
Although prompt engineering is losing importance as a standalone profession, the ability to communicate effectively with AI systems remains relevant. However, it is taking a different form than originally expected.
Integration into various professional fields
Prompt skills are expected to be integrated into a wide range of professions in the future. One LinkedIn user commented: “Every marketing team needs someone with AI skills, systems thinking, prompt expertise, and a test-and-learn mentality. It’s less about job titles and more about embedding these skills within the team.”.
This perspective suggests a more nuanced development: Instead of dedicated prompt engineers, companies will need employees in various departments who can effectively use AI tools. The ability to interact with AI will become a fundamental skill, much like digital literacy is today.
New specializations and more complex tasks
While simple prompt engineering is becoming obsolete due to more advanced AI models, new, more complex roles are emerging. For example, one commenter on LinkedIn mentions that his company hired a "Prompt Coordinator" instead of a Prompt Engineer, whose job is to "catalog prompts and guide the functional end user in creating their prompts.".
Another comment points out that prompts are also embedded in backend pipelines: “As long as LLMs are used—in search, recommendations, summaries, for agent-based work, or content generation—someone has to design, test, and maintain the prompts that shape the model behavior at scale.” This suggests that specialized prompt expertise will remain relevant in certain technical contexts.
Lessons for the AI-driven world of work
The rapid rise and fall of prompt engineering offers valuable insights into the dynamics of the AI-driven job market and provides lessons for employees and organizations.
Speed of technological change
Perhaps the most important finding is the unprecedented speed at which AI-related job profiles are developing. While previous technological revolutions often took decades to transform certain professions, in the AI age this is happening within a few years or even months.
This rapid evolution requires employees to continuously adapt and be willing to constantly develop their skills. It also underscores the importance of transferable core competencies over highly specialized niche skills that could quickly become obsolete.
A tendency towards integration rather than specialization
Another key finding is the tendency to integrate AI skills into existing roles rather than creating entirely new specializations. This reflects a more realistic view of how technology is embedded within organizations.
For educational institutions and training programs, this means they should teach AI skills as a complement to existing disciplines, rather than training isolated AI specialists. The ability to use AI tools effectively in various professional contexts is becoming increasingly valuable compared to pure technical expertise.
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The development of the AI-driven world of work
The rapid rise and fall of prompt engineering as a distinct profession illustrates the transformative power of artificial intelligence in the job market. In just a few years, a promising career path has transformed from a highly paid specialist profession into an integrated skill relevant across various roles.
Technological advances in AI models, the increasing democratization of AI skills, and its integration into existing job profiles have led to a decline in the demand for dedicated prompt engineers. Nevertheless, the ability to communicate effectively with AI systems remains valuable, albeit in a different form than originally anticipated.
This development underscores the need for employees and organizations to continuously adapt and develop their skills. In a working world increasingly shaped by AI, those who can anticipate technological changes and develop their skills accordingly will be successful.
The case of prompt engineering may only be the beginning of a broader transformation of the labor market through AI. While certain specializations emerge and disappear, the ability to adapt and continuously learn remains arguably the most important skill for the future of work.
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