The debate about Artificial Intelligence often boils down to the question, "Will it replace humans?" In reality, certain jobs will indeed disappear or be significantly reduced. Purely executive or highly repetitive tasks will be fully automated.
However, this also presents an opportunity to reinvent the way we work. The challenge is no longer to "save your job" by keeping your head down, but to evolve your skills to take charge of the new landscape.
From the "knowing" expert to the information architect
Until now, expertise was primarily measured by the amount of accumulated knowledge. "Knowing" experts—doctors, consultants, lawyers, engineers—distinguished themselves by their mastery of the subject and their ability to solve complex problems through their intellectual background.
Tomorrow, the expert will primarily be someone who knows how to leverage AI effectively. We are shifting from a "I know" model to a "I know how to ask the right questions and orchestrate the machine to go further" model. Some are already referring to “Prompt Engineers” or “Information Architects” to describe these new roles.
What is changing
- Knowledge accumulation: less critical, as AI can analyze massive volumes of data in record time.
- The ability to query AI: the new value criterion. If you don't master the right approaches to "brief" the AI, you'll miss out on its opportunities... and risk errors or biases.
- Creativity and critical thinking: essential for verifying, complementing, and challenging AI responses.
Some jobs are disappearing, but others are emerging
Let's take a concrete example:
- Administrative assistants: many tasks related to data entry, organization, or scheduling can be automated.
- Data analysts: AI processes vast amounts of data, reducing the need for manual analysis.
On the other hand, new roles are emerging:
- “Data Curator”: responsible for the quality and relevance of data before it is processed by AI.
- “Prompt Engineer”: an expert who knows how to construct queries (prompts) to maximize the relevance and reliability of AI responses.
- “AI Strategist”: capable of defining the vision and integration of AI within a business, from processes to team training.
The real danger: underestimating the speed of change
According to McKinsey (2024), 75% of companies integrating AI observe a 15 to 20% increase in productivity. One might think it's "just a productivity gain." However, behind these numbers, jobs are already shifting towards automation. Those who do not anticipate the transformation risk being sidelined.
Major pitfalls
- Model biases (e.g., ChatGPT): 30% inaccuracies or biased content (MIT, 2024).
- Overdependence: by relying too much on AI, we lose critical thinking.
- Ethical responsibility: when AI gives poor advice, who bears the consequences?
Don't be mistaken: just because a tool has biases doesn't mean it won't become widespread.
Historically, imperfect technologies (email, internet, smartphone) have always become mainstream.
The key is to know how to master and refine them.
How to evolve now to avoid being replaced?
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Master the basics of AI
- Learn to build effective prompts (Prompt Engineering).
- Use accessible tools: Microsoft 365 Copilot, Notion AI, etc.
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Develop your critical thinking
- Systematically verify AI responses: compare, cross-check, challenge.
- Foster a culture of constructive doubt: share mistakes and biases to improve skills.
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Value your Soft Skills
- Creativity to find original angles.
- Adaptability to integrate evolving AIs (ChatGPT, Bard, MidJourney…).
- Collaboration to spread best practices within the company.
Example:
A large bank automated data collection and reduced operational time by 80%.
Consequence: +40% strategic recommendations and a team more focused on high-value tasks.
At the same time, some purely "back-office" positions were drastically reduced.
Conclusion: anticipate or risk being sidelined
Yes, AI will replace certain jobs, especially those with standardized tasks. But it also opens the door to new roles that demand more creativity, reflection, and management.
My advice
- Don't cling too tightly to your old methods.
- Instead, aim to become an “information architect”: someone who orchestrates AI to produce more, better, and faster.
Want to explore how AI can transform your role?
I offer a free 30-minute consultation: discover how "prompt engineering" could redefine your job.
Schedule an appointment here
Don't wait to be replaced: become the one who maximizes AI.