In 2025, we are witnessing a quiet but profound revolution in the business world. Generative artificial intelligence is no longer just a technological tool—it is completely redrawing the contours of consulting and auditing. Capable of producing original content and automating certain complex tasks, it is radically transforming the way companies approach their daily challenges.
Generative AI: Revolution or Just a Fad?
Make no mistake: generative artificial intelligence is far beyond a passing market trend. You'll notice that the generative AI approach now makes it possible to create original content in various forms, whether text, images, or even complex analyses. A striking figure? Nearly 96% of organizations now consider it a major strategic issue.
Its growth is anything but trivial. It shows annual growth of 32%, suggesting that one in two workers will use it by 2028. Why such enthusiasm? Probably because these tools significantly boost productivity while opening up new avenues of innovation that no one would have imagined just a few years ago.
Features that redefine possibilities
Current generative AI systems impress with their ability to understand and produce natural language with astonishing finesse. How do they do it? They meticulously dissect contexts and capture cultural subtleties to craft content perfectly tailored to each target audience.
When you look at models like GPT or DALL-E, you're amazed by their ability to generate content of uncanny authenticity. Beyond text, these systems excel at visualizing complex data, designing simulations, and automating analytical tasks once reserved for the most seasoned human experts.
Concrete applications in the business world
In the daily reality of organizations, generative AI is profoundly changing established working methods. Take the financial sector, where it now automates the production of reports and analyses, freeing up valuable time for experts who can focus on higher-value tasks. Furthermore, human resources benefits from tools that streamline recruitment processes and improve the quality of job descriptions.
Marketing is no exception. Teams are leveraging these innovations to design and test personalized advertising campaigns on a large scale, with unprecedented efficiency. Customer relations are being transformed thanks to virtual assistants available day and night, while enabling a substantial reduction in operational costs.
Transformation of consulting and auditing professions
Have you ever seen how consulting firms are transforming their practices in the face of this technological revolution? Developing business offers becomes more accurate and faster when AI analyzes prospects' needs to offer the most appropriate services.
Identifying experts for each assignment is also becoming more relevant thanks to the automated review of available profiles and skills. In the audit field, AI significantly simplifies the interpretation of regulatory texts and more effectively detects anomalies in accounts. The result? Auditors are gradually moving away from tedious document structuring tasks to focus on what really matters: in-depth analysis and strategic recommendations.
Ethical and regulatory challenges by 2025
However, this rapid adoption raises important ethical and regulatory questions. The European Union, aware of the challenges, has developed the AI Act, which imposes new constraints on organizations based on the risk level of the artificial intelligence systems they use.
This legislation requires greater transparency and pushes for the formalization of internal AI use. Companies must now ensure they prevent algorithmic bias and ensure the fairness of automated decisions. The protection of personal data remains a top priority, with the AI Act expanding on the GDPR without replacing it. Be careful, however: penalties for non-compliance can be as high as 7% of global turnover or €35 million—enough to encourage the utmost vigilance.
However, it would be reductive to view ethics solely in terms of constraint. Organizations that adopt a responsible approach to AI actually provide themselves with insurance against legal, economic, and reputational risks. In an environment where generative AI is becoming essential, knowing how to integrate these technologies ethically is a major asset for any company wishing to stand out in the long term.
