A few weeks ago, I came across Josh Bersin’s latest study, “The Rise of the Superworker,” and I must admit it made me think deeply about the relationship between artificial intelligence and talent management.
I’m not talking about the usual rhetoric about AI that will “change everything” or apocalyptic fears about the “end of human work.” Bersin proposes something more concrete.
His fundamental thesis is as simple as it is powerful: we need to think of AI as a technology that enhances work, not one that steals jobs.
The Undeniable Point: AI Gives Us Superpowers (Literally)
But concretely, what does Bersin’s vision consist of?
AI Doesn’t Compete With You, It Collaborates With You
Bersin defines a “Superworker” as an employee enhanced and supported by AI. This isn’t just a catchy definition to sell a concept. It’s what’s already happening in the most evolved companies.
Think about an HR Business Partner in your company. Traditionally, they spend hours:
- Manually analyzing turnover data
- Comparing CVs with job requirements
- Preparing performance reports
- Researching solutions for engagement problems
Now imagine that AI automatically analyzes turnover, productivity, individual performance, and leadership potential, comparing candidates with multiple requirements.
The result? The HRBP isn’t replaced. They’re freed from the most mechanical and repetitive tasks. They can finally focus on what matters: building relationships, driving cultural change, developing personalized retention strategies. They can become what Bersin defines as a “Superworker.”
The Numbers You Can’t Ignore
The Josh Bersin Company research from March 2025, in collaboration with SAP, shows results that frankly impressed me:
- 95% faster speed in searching for employee information
- 75% time saved in recruitment administration
- 50% faster in candidate sourcing
- 30% improvement in skills-to-project matching
- 25% increase in overall performance
- 25% more satisfaction with career opportunities
But what struck me most wasn’t the numbers themselves, but what they mean in concrete terms.
Why This Vision Convinces Me (And Should Convince You Too)
1. Finally Moving Beyond the “Cost Center” Logic
For years we’ve heard that HR is a cost center. A necessary evil. Something to “optimize” (read: reduce).
Bersin’s article made me understand that this AI revolution isn’t about implementing technology, but about rethinking how we do things. And this falls into HR’s hands: how to redesign, reskill, and redistribute people in a world of highly intelligent systems.
Here’s the point: when AI handles administrative and repetitive work, HR can demonstrate its true strategic value. No longer “request processors,” but talent architects.
2. Radically Changes What “Working” Means
One of Bersin’s most brilliant insights is this: for decades we’ve managed companies as “people machines,” designing job sets and role families, hiring, training, and promoting people to grow.
But with AI, this model collapses. Or rather, transforms.
AI doesn’t just automate tasks; it becomes a colleague: it listens, learns, “reasons,” and acts. And this changes everything.
The new paradigm is fluid:
- Roles become more dynamic
- Real skills matter more than titles
- Internal mobility becomes the norm
- Continuous learning isn’t optional
3. Creates New Jobs
This is the point that’s most often misunderstood. AI isn’t just a threat to existing jobs.
Integrating AI into companies allows for the creation of many new jobs: who maintains the knowledge base that feeds it? Who ensures data privacy and security? Who manages ethical issues? Who monitors AI to ensure it’s well-trained?
These are new Superworker roles. Roles that didn’t exist before. High-value-added roles.
Think of the historical analogy: when electricity was invented, companies replaced horse-powered machines with motors. But only decades later did engineers understand they could redesign the entire production process by integrating the whole supply chain.
With AI, we’re experiencing the same process. Just accelerated.
The 5 Concrete Actions Bersin Proposes
What I like about this approach is that it doesn’t remain abstract. Bersin proposes five very practical imperatives.
1. Redesign Work, Roles, and Organizational Models
Focus on the customer, on how success is measured, then apply AI.
My interpretation:
- Don’t start with technology, start with the problem to solve
- Deconstruct work into specific activities
- Evaluate which activities can be automated
- Redefine the human role alongside AI
Practical example: A recruiter no longer needs to “filter CVs.” They need to “identify talent that will bring innovation.” AI filters, humans evaluate potential.
2. Create a Dynamic Talent Model
The traditional “pre-hire to retirement” model is becoming obsolete. A more dynamic approach is needed where people move between roles and projects.
What this means in practice:
- Prioritize internal mobility over external hires
- Build non-linear career paths
- Focus on “doing more with what we have”
- Develop “talent density” in the organization
3. Rethink Compensation, Rewards, and Performance
Move from traditional compensation models to “systemic rewards,” based on role, skills, and output.
Superworkers generate exponentially superior value. They must be compensated accordingly, or they’ll go elsewhere.
4. Refine Leadership and Culture
This is perhaps the most critical imperative. It’s a time of change. Make sure leaders understand AI, foster innovation, and focus on productivity, not employee count.
The new leadership style:
- Less command-and-control
- More coaching and facilitation
- Focus on empowerment
- Experimentation as a cultural norm
5. Accelerate the Shift to Strategic HR
HR must operate in a consultative role. Integrate HR silos, develop a change enablement team, experiment with AI tools in HR.
Concrete example: Bersin cites a healthcare company that created a “transformation enablement team” in HR that conducts co-design workshops throughout the organization, helping with process, role, and compensation redesign.
My Personal Reflections (And Some Concerns)
What Excites Me
The paradoxical humanization: The more AI handles mechanical activities, the more unique human skills become precious. It’s not about implementing AI, but redesigning roles and business processes around AI. This is a people problem, not a technology problem.
The democratization of talent: AI can level the playing field. A junior with access to the right tools can compete with a senior. This is revolutionary.
The possibility of reinventing oneself: In a world of Superworkers, you’re no longer trapped in your role. You can evolve, expand, explore.
What Concerns Me
The divide will widen: Those who embrace AI will become Superworkers. Those who resist will fall behind. And the gap will be enormous.
Ethical issues are real: Privacy, algorithmic bias, transparency of decisions. We can’t ignore them. Bersin talks about them, but concrete actions are needed.
The speed of change is disorienting: A significant percentage of change management programs fail, and almost always the reason is people’s resistance. How do we accompany this change without leaving anyone behind?
The pressure on training: According to the World Economic Forum, 44% of core skills will change in the next five years. How can we meet this training need so quickly?
Where to Start? A Practical Approach
Based on Bersin’s article, here’s how we can imagine a concrete path to integrate AI’s potential into companies.
Phase 1: Understand Your Starting Point
You can’t improve what you don’t measure.
- Map current skills in the company
- Identify the most time-consuming and repetitive processes
- Listen to your employees: where do they feel the most frustration?
- Calculate the gap between where you are and where you want to be
Practical tool: Do a workshop with team leaders. Ask: “If you had an AI assistant, what would you want it to do for you?”
Phase 2: Choose a High-Impact Pilot
Perfection is the enemy of progress.
- Identify ONE specific process to test AI
- Choose something with measurable impact (example: time-to-hire)
- Define 3-5 clear KPIs
- Involve the people who will actually use the tool
My suggestion: Start with recruitment. It’s easy to measure, has immediate impact, and results convince skeptics.
Phase 3: Learn, Iterate, Scale
Don’t scale until you’ve learned.
- Analyze pilot results honestly
- Identify what worked and what didn’t
- Involve early adopters as ambassadors
- Only then expand to other areas
Warning: Bersin cites a study suggesting that for every dollar spent on machine learning technology, companies might need to spend nine dollars on intangible human capital. The real investment is in people, not software.
Phase 4: Build the Ecosystem (Ongoing)
No company can make this transformation alone.
- Technology partners specialized in AI
- Universities for research and advanced training
- Consultants with practical experience (not theorists)
- Communities of practice with other companies
The Real Mindset Shift That’s Needed
Here’s what I understood from reading Bersin and reflecting on it.
From “Protecting Jobs” to “Amplifying People”
The debate about AI is often framed incorrectly. It’s not “humans vs machines.” It’s “empowered humans vs non-empowered humans.”
AI isn’t here to replace us; it’s here to empower us.
The right mindset:
- AI is a tool, not a competitor
- Human skills become more valuable, not less
- Value isn’t in “doing,” but in “deciding what to do”
From “Efficiency” to “Real Productivity”
There’s a huge difference. Efficiency is doing the same thing faster. Productivity is doing things that were previously impossible.
Concrete example: One of Bersin’s clients built an AI platform that can interview stakeholders, import documentation, build training programs, and publish them autonomously. Programs that required 3-6 months are now generated in a few days.
Humans are still necessary, but now they’re “super-curators” and “craftspeople” who perfect the product.
From “Job Title” to “Contribution”
Your value is no longer defined by your role, but by what you can generate.
Compensation will increasingly reflect value and capability, not just titles.
This is uncomfortable for those accustomed to rigid hierarchical scales. But it’s liberating for those who want to grow based on real merit.
Three Questions You Must Ask Yourself (And Three Honest Answers)
Question 1: “Is My Company Ready for Superworkers?”
Honest answer: Probably not. And that’s okay.
According to Gartner, only 8% of HR leaders believe their managers have the skills needed to effectively use AI today. You’re in good company.
What to do: Don’t wait to be “ready.” Start with small steps. Readiness is built by doing, not planning.
Question 2: “Are My Employees Afraid of AI?”
Honest answer: Yes, probably. And they’re right to have questions.
What to do:
- Be transparent about plans and objectives
- Involve them in the process, don’t impose it from above
- Show concrete examples of how AI will help them
- Train before implementing
90% of corporate spokespersons report some type of AI-based project underway. You’re not alone. And your employees know it.
Question 3: “How Much Investment Is Really Needed?”
Honest answer: Less than you think in technology, more than you think in people.
Many AI tools for HR have free or low-cost versions to start. The real cost is in time for:
- Redesigning processes
- Training people
- Managing cultural change
- Supporting those struggling to adapt
Conclusion: Why I’m Optimistic (And Why You Should Be Too)
After reading Bersin’s article, my perspective has been enriched with new nuances.
In many ways, I’ve reconsidered the vision of AI in terms of “replacement of human work.” I see it as the biggest opportunity in recent decades to rethink how we work, how we grow, how we create value.
There’s no doubt that AI can turbo-charge organizational performance. The question isn’t “if” it will happen, but “how” we want it to happen.
The companies that will win in the coming years won’t be those with the most advanced technology. They’ll be those that know how to integrate artificial intelligence and human intelligence harmoniously.
They’ll be those that transform their employees into Superworkers. That build cultures of continuous learning. That redesign work around people, not around processes.
Bersin’s message is clear: The era of the Superworker has arrived.
The question for you, for me, for every leader today is: do we want to lead this transformation or suffer it?
I’ve chosen. And you?
Author: Claudia Paniconi | Marketing Manager DMBI
Image generated with AI on Freepik
