Rethinking key roles to fully leverage AI
Artificial intelligence no longer simply automates tasks. It fundamentally transforms how roles contribute to performance, decision-making, and innovation. Marketing, sales, human resources, operations, and innovation are all affected, each in different ways, but driven by a common shift.
To truly benefit from AI, organizations must move beyond tools alone. They need to rethink roles, skills, and ways of working. The challenge is not to replace jobs, but to evolve them toward higher-value contributions that are more strategic, relational, and analytical.
Marketing: from production to decision-making
In marketing, AI enables personalization at scale. Large-scale analysis of customer data makes it possible to design campaigns that are more targeted and continuously adjusted based on behaviors and signals.
AI tools also support content generation and optimization, whether for text, visuals, or scenarios. This increased production capacity fundamentally changes the role of marketing professionals. Value no longer lies in volume, but in the ability to guide, prioritize, and measure impact.
Marketing professionals increasingly act as curators and strategists, capable of guiding AI, setting clear intentions, and aligning initiatives with business objectives.
Sales: from execution to strategic relationships
In sales, AI supports anticipation and recommendation. It helps identify opportunities, detect weak signals, and anticipate customer needs. Repetitive tasks such as follow-ups, account tracking, and reporting can be largely automated.
This shift frees up time for what truly matters. Sales professionals evolve into strategic advisors, able to interpret AI-generated insights and build durable, high-value relationships based on a deep understanding of client challenges.
Human resources: from process management to talent development
HR functions are deeply transformed by AI. Recruitment benefits from tools that analyze applications, support pre-screening, and provide predictive insights into candidate profiles.
The most structural impact, however, lies in talent management. AI helps identify critical skills, anticipate future needs, and personalize development pathways.
In this context, HR professionals increasingly take on the role of strategic coaches and talent analysts, focused on skills development, engagement, and continuous adaptation of the workforce.
Administration and operations: from management to continuous optimization
AI automates many administrative and operational processes, including invoicing, data management, and operational tracking. It also supports workflow optimization by reducing errors and accelerating decision-making.
As a result, operations and administrative leaders evolve into process managers and performance analysts, capable of optimizing operations, anticipating needs, and supporting more informed decisions.
Innovation and R&D: accelerating without losing direction
In innovation and R&D, AI opens new possibilities. It enables rapid idea exploration, scenario simulation, virtual prototyping, and trend analysis.
AI also supports feasibility assessment and project evaluation. Innovators increasingly act as analytical strategists, combining human creativity with AI’s computational power to guide choices and prioritize initiatives.
A cross-functional transformation of roles
Across all functions, one observation stands out: AI shifts value toward roles that are more analytical, more relational, and more strategic. Jobs are not disappearing; they are evolving.
Organizations that succeed in this transition will be those that invest as much in skills and mindset development as they do in technology. Rethinking key roles ultimately means enabling teams to leverage AI while preserving what makes human work valuable.
This reflection is part of the Campus IA initiative, a learning space designed to help organizations and professionals structure their approach to AI beyond tools, in direct connection with the evolution of roles and skills.