Empowering superworkers and delivering outcomes that matter

AI dominates the conversation in HR, but most organizations are still searching for tangible results. The real progress comes when HR leaders use AI to help people work smarter, build skills, and create better employee experiences.

That’s the focus of the new Josh Bersin Company report, Maximizing the Impact of AI in the Age of the Superworker. In this context, “superworkers” aren’t superheroes—they’re everyday employees and HR professionals empowered by AI to move beyond routine tasks and deliver higher-value outcomes. And superworkers thrive when HR is running on modern, cloud-based platforms that can support advanced AI.

AI in HR: Shifting focus from tasks to outcomes

The first wave of AI adoption in HR focused on simple automation—chatbots answering policy questions or assistants updating employee records. But as the report shows, the opportunity is much broader: AI can help redesign work, upskill teams, and drive outcomes legacy systems can’t reach.

For enterprises running SAP ERP HCM on-premises, migrating to the cloud is the critical enabler. SAP SuccessFactors HCM provides the scale, security, and intelligence required for advanced AI—helping HR move from tactical automation to true strategic value.

The superworker model: Empowering people, not replacing them

AI in HR isn’t about eliminating jobs. It’s about elevating human potential. Superworkers use AI to make better decisions, solve problems faster, and focus on the work that matters most.

The Josh Bersin report outlines four stages of AI maturity in HR:

1. AI as assistant: Automates simple tasks to save time
2. AI as agent: Use of AI agents to take on routine processes, freeing HR for more valuable work
3. AI as multifunctional agent: Optimizes workflows and supports data-driven decisions
4. AI as autonomous agent: Runs entire processes, allowing people to focus on creativity, leadership, and innovation

Most organizations are still in the early stages—but industry leaders are moving quickly, using cloud-based HR systems as the foundation.

Real-world use cases: AI solving business problems in HR

The report dives deeper into these case studies, but here are a few snapshots of how companies are using AI in HR today:

• Döhler uses Joule, SAP’s AI copilot, in its employee portal, making everyday transactions like address changes or policy lookups faster and easier—reducing frustration and freeing HR for more meaningful work.
• Darussalam Assets, a large conglomerate in Brunei, applies AI to recruitment. By generating job descriptions, parsing resumes, and providing instant candidate feedback, the company has cut time-to-hire from months to weeks. AI-generated interview questions ensure assessments are fair and skills-based, leading to higher-quality hires and a more equitable process.
• Delta Air Lines applies AI-enabled skills intelligence to improve internal mobility, matching employees with career opportunities and strengthening its talent pipeline. By focusing on skills instead of traditional job titles, Delta has exceeded its goal of filling 25% of management positions internally.

These outcomes show how AI in HR goes beyond efficiency—it creates space for people to grow, adapt, and deliver greater value. And critically, each of these organizations relies on SAP SuccessFactors HCM that can integrate and scale AI, highlighting the limitations of on-premises models.

Measuring what matters

AI in HR carries a lot of hype. What sets successful organizations apart is the discipline to measure outcomes with precision. The report emphasizes that transformation is only meaningful when it shows up in metrics that matter to the business.

Benchmarks from leading organizations illustrate what’s possible:

• Employees spend up to 95% less time on routine searches
• Common HR transactions are completed 90% faster
• Companies using AI for candidate matching see a 30% increase in the quality of hires

These benchmarks prove that AI’s impact isn’t theoretical—it translates directly into productivity, efficiency, and better talent outcomes. And the connection to migration is clear: SAP SuccessFactors HCM provides the intelligence and scale needed to capture these gains. On-premises platforms simply weren’t built to deliver or measure this kind of impact.

Building a foundation for progress

Turning AI’s potential into real outcomes requires more than just new technology. The report outlines several practical steps for HR leaders who want to move from hype to measurable progress:

• Collaborate across functions
  Work with IT, legal, operations, and business leaders to ensure your AI strategy aligns with organizational goals and compliance requirements.
• Assess roles for AI impact
  Identify where AI can enhance productivity, automate routine tasks, and enable HR professionals to focus on strategic initiatives.
• Develop a phased roadmap
  Plan for both the technical infrastructure (including cloud migration) and the human side—training, change management, and upskilling.
• Define and track impact metrics
  Set clear benchmarks for efficiency, experience, effectiveness, and productivity. Use these metrics to guide investments and measure progress.
• Foster a culture of innovation
  Encourage experimentation, continuous learning, and a willingness to rethink traditional HR roles and processes.

The organizations making the most progress are those that treat AI as a tool for empowering people—not just automating tasks. By focusing on outcomes and building the right foundation, HR leaders can help their teams become true superworkers and deliver value that matters.

Conclusion

The promise of AI in HR isn’t about hype—it’s about solving real business problems and empowering people. For HR leaders running SAP ERP HCM on-premises, migration to the cloud is the key to unlocking AI’s potential.

The Josh Bersin Company report provides the roadmap: how to move from basic automation to strategic HR digital transformation, and how to equip HR professionals and employees alike to become superworkers.