In a recent LinkedIn post, Pietro Maria Picogna discusses the profound impact of Artificial Intelligence on the workforce and argues for a fundamental shift in how organizations manage their talent. Picogna highlights a common challenge faced by HR leaders: the inability to effectively redeploy employees when AI automates certain roles, often leading to costly layoffs rather than internal transitions.
Picogna begins by posing a critical question to HR professionals:
“If AI eliminated 50 positions in your company tomorrow, would you know where to relocate those people internally? 🧠”
He asserts that the hesitation in answering this question stems not from a lack of employee skills, but from a lack of a strategic framework—a “map”—to guide internal mobility. This absence, according to Picogna, forces organizations into the expensive default of letting people go and hiring anew.
The Shifting Landscape of Work
Drawing on data from the World Economic Forum, Pietro Maria Picogna points to a significant transformation on the horizon. He notes that by 2030, the global workforce will see substantial changes:
- 170 million new jobs are projected to be created.
- 92 million existing jobs are expected to be replaced by technology.
- A staggering 39% of current skills will become obsolete or require significant adaptation.
Picogna argues that traditional organizational structures are ill-equipped to handle this dynamic shift. He criticizes the reliance on outdated models such as static job titles, rigid job descriptions, and linear career paths. In his view, AI’s influence extends beyond mere technology adoption; it fundamentally reshapes tasks, responsibilities, and functional boundaries.
Introducing Skill Intelligence
To navigate this evolving landscape, Pietro Maria Picogna advocates for a move towards a “Skill Intelligence approach.” This, he explains, is a departure from traditional role-based organizations. Skill Intelligence, as outlined by Picogna, involves more than just cataloging competencies; it’s about building an organizational capacity to:
- Accurately understand the skills present within the workforce.
- Measure the actual proficiency levels of employees.
- Identify critical strategic skill gaps.
- Make informed decisions about investing in upskilling versus reskilling.
- Facilitate internal mobility based on data-driven insights rather than subjective perceptions.
Picogna emphasizes that this strategic approach is crucial for retaining talent and adapting to the future of work.
“AI doesn’t just change technology. It reshapes tasks, responsibilities, and the boundaries between functions.”
HR’s Pivotal Role
According to Pietro Maria Picogna, Human Resources is uniquely positioned to lead this transformation. He asserts that HR is the only function capable of simultaneously influencing culture, skills, employee development, and organizational adaptability.
“It’s the only function that can act on culture, skills, development, and adaptability at the same time.”
However, Picogna cautions that mere awareness of these changes is insufficient. He stresses the need for a structured methodology and a clear plan to implement Skill Intelligence effectively. To support this, he mentions the availability of a practical guide designed for HR and People leaders, which offers insights into building this capability within their organizations.
Key Components of the Guide
Picogna details that the guide includes essential elements for implementing Skill Intelligence:
- Key data points from the World Economic Forum’s research.
- An explanation of the four core pillars of Skill Intelligence.
- A practical, four-step roadmap for initiating the process.
- Concrete examples illustrating skill mapping, assessment, and development strategies.
In conclusion, Pietro Maria Picogna’s insights on LinkedIn underscore the urgent need for organizations to adopt a Skill Intelligence framework to proactively manage workforce changes driven by AI and technological evolution, positioning HR as the central driver of this essential strategic shift.
📝 About This Content
This article is based on insights shared by Pietro Maria Picogna on LinkedIn.
📅 Originally posted on March 4, 2026 | View original post on LinkedIn →