Two years ago, the prompt engineer was presented as the most promising job of the decade. There were job offers for 300,000 $s a year in the United States. Today, some claim that major language models have become intelligent enough to do without precise instructions.
So the prompt engineering is it a strategic investment or a fad that's running out of steam?
What exactly is prompt engineering?
Le prompt engineering refers to the art of formulating precise instructions for an LLM to obtain reliable, relevant and usable results. It is the interface layer between human intention and machine capability.
User, system and structured prompts: three very different realities
In practical terms, the’prompt engineering covers several realities depending on the context. The user prompting is about writing better day-to-day instructions to get the most out of tools like ChatGPT in the workplace. Le system prompt application IA designates the configuration of the behaviour of an agent or an upstream application. The structured prompting, Finally, it involves designing instruction chains for automated workflows AI complex. These three levels do not have the same future, and this is precisely where the debate becomes interesting.
Why the quality of instructions makes all the difference
It's true that a more intelligent model understands vague requests better. But it always executes clear, well-structured instructions better. The quality of prompts and instructions IA remains the main lever of interaction: your request directly determines the relevance of the response, whatever the model used
What will effectively disappear
Let's be frank: part of the prompt engineering as practised in 2023 is becoming obsolete, and that's good news.
Tips for getting around the first LLMs
The first generations of major language models required very specific formulations to work properly: “Act like an expert in...”, “Only reply in JSON...”, “Don't mention that you're an AI...”. These bypass techniques disappear as models become more robust and better educated by default.
Prompting as a substitute for software engineering
Some companies thought that they could replace a real work of’software architecture by sophisticated prompts. This approach quickly shows its limitations: a prompt, no matter how well designed, is no substitute for solid integration, error management or well thought-out business logic. This is particularly obvious when developing a customised business application designed to be integrated into an existing digital ecosystem.
The “black magic” of obscure techniques
The catalogues of esoteric techniques - chain-of-thought prompting, tree-of-thought, least-to-most prompting - are still relevant for academic research, but their practical value for a practical application is limited. Belgian SME is often overestimated. It's not the sophistication of the technique that determines the quality of a prompt, it's the clarity of the intention behind it.
On the contrary, it is becoming more strategic
While some practices are disappearing, others are becoming increasingly important in 2026. And they won't be disappearing any time soon.
The design of instruction systems for AI agents
As companies deploy AI agents in production, the quality of the system prompt the one that defines the agent's behaviour becomes absolutely critical. A poorly instructed agent is costly in terms of business errors, hallucinations and unpredictable behaviour. Designing these instructions rigorously is an engineering job in its own right, as is knowing how to control your LLM costs in production.
Evaluation and iteration: the real work of prompt engineering
The real thing prompt professional engineering, It's less about “finding the magic formula” and more about “measuring, iterating and improving”. Knowing how to build representative sets of tests, assess the quality of the outputs, detect regressions between two versions of a model - these are lasting skills. Visit essential AI tools s are increasingly incorporating’LLM quality assessment natively in their interfaces.
Translating a business need into a technical instruction: a rare skill
The true value of a good prompt engineer, is the ability to translate a complex business need into clear, unambiguous instructions. It's not a purely technical skill: it's about communication, structured thinking and understanding the domain. It cannot be automated - and that is precisely why it will remain strategic.
Prompt engineer: a dedicated profession or a cross-disciplinary skill?
This is where the question is posed differently, and where the answer becomes really useful for companies.
Why the job of “prompt engineer” is going to become rarer
Le prompt engineer as a dedicated full-time position in a traditional company is becoming increasingly rare. Not because the skill is losing its value, but because it will naturally be integrated into existing professions. The prompt engineering training doesn't disappear - it changes its recipient.
How prompt engineering fits in with existing professions
The product manager who designs a AI agent will need to master system prompting. The developer who integrates a LLM in production will need to understand how instructions influence outputs. The consultant accompanying a digital transformation SMEs will need to be able to frame use cases with precision. These developments are part of the major web and mobile development trends which redefine the skills expected of tech teams in 2026.
The parallel with SEO, data literacy and cybersecurity
Prompt engineering doesn't disappear - it spreads. This is exactly what has happened to SEO, data literacy and IT security. These skills are no longer the prerogative of isolated specialists: they are part of the foundation expected of all digital professionals. In five years' time, mastering the basics of prompting ChatGPT or the prompt engineering agent IA will be as natural as knowing how to use a spreadsheet
Iterates, your partner for integrating AI into your business
At Iterates, we help Belgian companies with their AI adoption - from initial experimentation to the deployment of complex systems in production. No generic solutions: we analyse your real needs and build approaches tailored to your context.
Support and training for your teams in prompting
Before any development, we train your teams so that they understand the possibilities and limits of major language models. This shared understanding guarantees AI adoption in business The aim is to ensure that our customers benefit from a successful project, make optimum use of the tools deployed, and develop their skills on a long-term basis - not by relying on an external service provider.
Development of customised AI agents and LLM applications
We have worked with Belgian SMEs in the implementation of’AI agents to automate critical processes such as document analysis, automatic lead qualification and the generation of customised reports. Our achievements demonstrate the tangible impact of’AI enterprise automation on productivity and competitiveness.
From audit to go-live: our complete approach
Our methodology for consulting IA Brussels covers the entire project cycle: initial audit to identify opportunities, design of the optimum solution, IA application development iterative process, user training, secure deployment and post-launch support. This approach ensures that your investment generates a measurable and lasting return.
Ready to structure your AI approach?
Le prompt engineering will not die. It will simply cease to be exotic and become commonplace - in the noble sense of the word. So the real question is not “Will it last?” but “Are my teams ready?”.”
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