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  • Artificial Intelligence: What Has Changed, How to Adapt, and Who Are the Winners and Losers

    Artificial Intelligence: What Has Changed, How to Adapt, and Who Are the Winners and Losers

    A silent revolution that has become unavoidable

    Just a few years ago, artificial intelligence belonged more to science fiction than to everyday life. Today, it has slipped into our smartphones, our search engines, our work tools and even our connected kitchens. Since the explosion of models like ChatGPT, Midjourney and Google Gemini, the world has shifted into a new era. This transition is not limited to a few technological gadgets: it is redrawing the contours of the economy, the job market, artistic creation and human relationships.

    To understand the scale of the change, one only needs to look at the numbers. According to several studies conducted between 2022 and 2024, more than 300 million jobs worldwide could be affected in one way or another by AI-driven automation. But this figure, as impressive as it is, masks a more nuanced reality: some jobs are disappearing, others are being transformed, and new professions are emerging at great speed.

    What has concretely changed since the rise of AI

    In the world of work

    The first area to be disrupted is undoubtedly the professional world. Repetitive tasks, whether administrative, accounting-related or even editorial, can now be automated in a matter of seconds. A report that used to take an entire day to write can be produced in a few minutes with a well-configured AI assistant. Call centers, translation services, content moderation and data entry are sectors that are already feeling this pressure very strongly.

    But the change does not come down to the elimination of positions. Companies that have integrated AI into their processes have often seen a significant rise in productivity. This means that human employees are increasingly called upon for high-value-added tasks: strategic decision-making, creativity, managing human relationships and innovation.

    In creation and the cultural industries

    Artistic creation has been one of the most visibly affected sectors. Tools like Midjourney, DALL-E and Stable Diffusion allow anyone to generate illustrations, logos or realistic photos in a matter of seconds. Musicians are seeing the emergence of software capable of composing entire pieces. Screenwriters, authors and journalists are facing tools that imitate their style with sometimes unsettling precision.

    This democratization of creation raises legitimate questions about copyright, the remuneration of artists and the value placed on human work. Several lawsuits have already been filed in the United States and Europe by artists who believe their works were used without consent to train these models.

    In our daily lives

    Beyond work, AI has also made its way into our personal lives. Voice assistants have become smarter, Netflix and Spotify recommendations more precise, and health applications more effective. Medicine is benefiting from AI-assisted diagnostics capable of detecting certain cancers with greater reliability than many human doctors. Education, too, is being transformed with virtual tutors capable of adapting to each student’s pace.

    The winners of the AI revolution

    Every technological transition creates winners and losers. The AI revolution is no exception to this rule. Here are the profiles and sectors that are clearly coming out ahead.

    • AI developers and engineers: demand for specialists in machine learning, natural language processing and data science has never been stronger. Salaries in this sector have soared in recent years.
    • Technology entrepreneurs: those who know how to identify a problem and build an AI-based solution can today raise considerable funding and conquer markets at an unprecedented speed.
    • Major technology companies: Microsoft, Google, OpenAI, Nvidia and Meta have seen their stock market valuations skyrocket. Nvidia, a manufacturer of chips essential to training AI models, has become one of the most highly valued companies in the world.
    • Professionals who master AI as a tool: a marketer who knows how to use ChatGPT, a graphic designer who masters Midjourney or a lawyer who leverages AI document analysis tools multiplies their productivity and becomes a highly sought-after profile.
    • The healthcare and scientific research sectors: AI is accelerating the discovery of new drugs, improving diagnostics and optimizing hospital management, opening the door to major medical advances.

    The losers and sectors under pressure

    While some are benefiting greatly from this revolution, others are bearing the full brunt of its consequences. It would be dishonest to downplay these real impacts on millions of workers around the world.

    • Low-skilled workers in repetitive tasks: data entry operators, call center agents, translators of standard texts and content moderation agents are directly threatened by automation.
    • Freelance graphic designers and illustrators: many report a sharp drop in commissions since the arrival of AI image generators, with some clients now preferring a cheaper automated solution.
    • Journalists and web writers specializing in mass content: the production of product sheets, summaries or basic informational articles can be fully automated, reducing demand for this type of work.
    • Developing countries whose economies rely on outsourcing: countries like India and the Philippines, which had built part of their growth on call centers and outsourced data entry, are seeing these activities threatened by automation.
    • Small businesses that are slow to adapt: those that do not integrate AI tools into their processes risk losing competitiveness against more agile and better-equipped competitors.

    How to adapt effectively to the AI era

    In the face of these upheavals, the question that comes up most often is simple: what can be done to avoid being left behind? The good news is that adaptation is possible for the vast majority of people, provided they adopt the right attitude and the right strategies.

    Developing a culture of continuous learning

    AI is evolving at a dizzying pace. What was true six months ago may already be obsolete today. The first step toward adaptation is therefore to accept that learning never stops. Platforms like Coursera, LinkedIn Learning, OpenClassrooms and even YouTube offer hundreds of accessible courses on AI, prompt engineering, automation and data science. Investing a few hours per week in building one’s own skills has become a necessity, not a luxury.

    Learning to work with AI, not against it

    One of the most common mistakes is to perceive AI as an enemy to be fought. Yet the highest-performing professionals today are those who have learned to collaborate with these tools. Using ChatGPT to draft a first outline, Copilot to code faster, or data analysis tools to make better decisions: that is what working with AI concretely means.

    Betting on irreplaceable skills

    AI excels at analytical, repetitive and data-driven tasks. On the other hand, it still struggles to reproduce certain deeply human qualities. Here are the skills on which it is wise to focus personal development efforts.

    • Empathy and emotional intelligence: the ability to understand, motivate and support others remains a human strength that machines cannot replicate.
    • Critical thinking and judgment: knowing how to assess the relevance of information, detect a bias or make a complex ethical decision are valuable abilities.
    • Original creativity: while AI can imitate creativity, it cannot yet conceive radically new ideas born from lived experience and a personal sensibility.
    • Communication and negotiation: persuading, uniting people, managing conflicts or inspiring a team remain very human and very sought-after skills.
    • Adaptability and resilience: knowing how to pivot quickly in the face of a changing environment is a quality that flexible and curious individuals develop naturally.

    Anticipating new professions

    The AI revolution does not only destroy jobs, it also creates new ones. Professions such as prompt engineer (a specialist in formulating requests for AI systems), algorithm auditor (responsible for verifying the fairness and reliability of AI systems), data trainer and AI ethics officer did not exist five years ago. Learning about these new fields and anticipating the needs of tomorrow’s job market is a strategic approach that everyone can adopt starting today.

    Toward a future to build together

    Artificial intelligence is neither a savior nor a monster. It is a powerful tool, shaped by human beings, with very real strengths and limitations. Its impact will depend largely on the collective choices our societies make in the coming years: how to regulate its use, how to redistribute the productivity gains it generates, how to protect the most vulnerable workers and how to guarantee equitable access to its benefits.

    Governments, businesses, trade unions and citizens all have a role to play in this transition. France and the European Union have already begun legislating with the European AI Act, the world’s first regulatory framework on AI. But regulation alone will not be enough. A cultural and educational transformation must also take place, in schools, in businesses and in homes.

    Ultimately, those who will navigate this revolution best will be those who have managed to remain curious, agile and resolutely human in an increasingly automated world. AI is changing the rules of the game, but it is always human intelligence that decides how to play.