For a long time, automation seemed reserved for engineers and large companies. Yet, it now appears in the most ordinary tasks: sending emails, reporting, prospecting, client follow-up, monitoring marketing campaigns.
The rise of accessible tools like Zapier, Make, or ChatGPT has allowed everyone to build their own automated scenarios without writing a single line of code. The result: the boundaries between “business” and “technical” are gradually fading.
According to a McKinsey (2024) study, nearly 30% of administrative and commercial tasks are now automatable thanks to AI. And companies adopting these practices record an average productivity gain of 20 to 35%.
Sommaire
From Endured Automation to Chosen Automation
The challenge is no longer whether to automate, but how to do it intelligently. Automation does not aim to eliminate human work but to give it back meaning.
By delegating repetitive tasks to tools, professionals can focus on high value-added actions: strategy, creativity, customer relations.
This is called reasoned automation, where AI becomes a lever of efficiency rather than a substitute for thinking. This approach requires a good understanding of one’s own processes, mapping the steps to optimize, then translating them into coherent automated flows.
A Sought-After Cross-Functional Skill
In 2025, the ability to automate ranks among the top ten skills most sought after by companies across all sectors, according to the World Economic Forum.
Very different professions converge towards the same need: marketers want to manage campaigns without re-entering data, salespeople want to automatically track their prospects, recruiters want to centralize applications effortlessly. In other words, automation becomes a common foundation: it does not replace professions, it connects them.
Training Profiles Capable of Thinking Automation
Knowing how to automate is not just about connecting tools. It requires understanding business objectives, data to exploit, and friction points to eliminate. Professionals capable of orchestrating this thinking are already among the most sought after.
A AI training like the one offered by La Capsule meets this need. They teach how to map a complete process, for example an acquisition pipeline, and transform it into an automated sequence: from lead generation to follow-up, including performance analysis.
The goal is not to train technicians, but decision-makers capable of using AI to simplify work and strengthen coherence between teams.
Towards a New Relationship with Working Time
Automating also means redefining how productivity is measured. Efficiency is no longer counted in hours spent, but in results obtained. By eliminating repetitive tasks, time is freed up for what requires real human expertise.
This transition, already underway, outlines a future of work that is more agile and more focused on value. From this perspective, learning to automate is no longer an option: it is a way to evolve with one’s time.