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AI Adoption, Talent Intelligence, and the Elephants in the Room

In this blog, we explore the practical steps to integrate AI into your talent strategy, tackle the big challenges, and unlock its full potential with tools like the Talent Intelligence Hub.

Remember the early days of the internet? Many thought it was just a fad—some even dismissed it as "hype." Today, we know better. The internet didn’t just change how we communicate; it fundamentally reshaped the way we live and work.

Now, artificial intelligence (AI) stands at the same crossroads, with the potential to transform industries, redefine roles, and reshape the workplace as we know it. But this transformation isn’t as simple as flipping a switch. AI requires careful planning, cultural shifts, and an honest look at some challenging questions—the “elephants in the room.”

So, let’s talk about how we can start moving toward an AI-enabled workplace and tackle these challenges head-on.

Why AI is Like Electricity (And Why This Matters)

Think of AI like electricity. It’s not just a new gadget; it’s a transformative force, a general-purpose technology that has the potential to reshape every industry. Much like electricity sparked new industries and changed existing ones, AI will require companies to shift their processes, tools, and mindsets.

In the meantime, there’s much to learn and plenty of room to shape AI’s role in the workplace. One way forward is by using tools like SAP’s Talent Intelligence Hub (TIH), which offers a rich library of attributes for evaluating and developing skills in the age of AI. Through TIH, businesses can start tailoring AI attributes that align with specific roles—like "AI as a Thought Partner," or "AI Prompting"—and encourage their teams to engage with AI in ways that drive creativity and critical thinking rather than replace human input.

Growth Portfolio in SAP SuccessFactors

Growth Portfolio in SAP SuccessFactors

Why the Slow Pace?

But let’s be clear—AI is not a one-size-fits-all solution. It’s more like a self-driving car: it works best when the environment around it is designed to support it. Just as autonomous cars need roads with clear signage and updated infrastructure, AI needs an environment that allows it to thrive. This means not just plugging it into existing workflows but rethinking and redesigning the ecosystem to support AI-driven insights and automation.

So, how long will it take before AI is a part of our everyday working lives? Kevin Kelly, a well-known futurist, predicts it might take about ten years before AI is fully integrated. This adoption curve isn’t unusual—consider how long it took smartphones to reach ubiquity. The slow pace gives organizations time to evolve their strategies, adapt to new roles, and align AI systems with their unique needs.

Human level accuracy for Artificial Intelligence

# Years to reach human level accuracy for Artificial Intelligence

Tackling the Elephants in the Room

When it comes to AI adoption, we can’t ignore some significant challenges—the "elephants in the room." For organizations with strong cultural roots in transparency, equality, and work-life balance, addressing these concerns is even more vital.

Job Security and the Fear Factor

Employees are understandably nervous. Will AI take their jobs? Will it reduce them to data points in a machine’s decision-making matrix? The reality is more nuanced. AI is less about replacing jobs and more about augmenting them—freeing employees from routine tasks to focus on strategic, creative work. But reassurance alone won’t be enough; it’s crucial to actively invest in reskilling and upskilling programs. Show employees that AI is there to empower, not displace.

Data Privacy and Ethical Concerns

AI’s reliance on vast amounts of data naturally raises red flags around privacy and ethics. European values, particularly in the Nordics, prioritize data protection and ethical transparency, which means businesses must take proactive measures. This involves not just setting up policies but fostering a culture where data privacy is openly discussed. People need to feel that their data is handled responsibly, and having ethical guidelines and transparent data governance policies in place is essential for building trust.

The Hype Trap

There’s a risk of expecting too much from AI, of assuming it can solve every challenge or magically enhance productivity. It’s easy to get caught in the hype and overlook the importance of setting realistic, achievable goals. AI should be introduced in a phased, thoughtful way—allowing room for testing, learning, and recalibrating. Success with AI isn’t about quick wins; it’s about incremental gains that compound over time.

Infrastructure and Talent Readiness

Finally, adopting AI isn’t just about software. Take the Job Profile Builder (JPB) in SuccessFactors, for instance. It’s a prerequisite for making the most of AI-powered Recruiting in SAP, and yet, integrating this tool requires effort. Organizations may need to invest time in creating structured job profiles and aligning them with the broader recruitment process. This groundwork might seem tedious, but it’s a fundamental part of building an AI-ready HR ecosystem.

Moving from Theory to Practice: Custom AI Attributes in TIH

For organizations ready to embrace AI, SAP’s Talent Intelligence Hub allows the creation of custom AI attributes that can be tailored to meet specific organizational needs. For example:

AI as a Thought Partner:

Encourage employees to use AI for brainstorming, role-playing, and strategic planning. This isn’t about AI replacing human thinking but enhancing it by offering a fresh perspective.

AI as a Writing Assistant:

Enable AI to support tasks like generating first drafts or reviewing grammar, freeing up time for deeper, more nuanced work.

AI Transparency and Critical Thinking:

Promote an open culture around AI usage, encouraging employees to question and interpret AI outputs rather than passively accept them.

SAP Talent Intelligence Hub: AI as a Thought Partner

SAP Talent Intelligence Hub: AI as a Thought Partner

The Path Forward: Moving from Concept to Culture

AI is less about technology and more about transformation. In companies where balance, transparency, and ethical considerations are woven into the cultural fabric, AI adoption will—and should—look different than elsewhere. The goal isn’t to rush toward the latest shiny tool but to build an AI-enabled environment that aligns with organizational values and employee needs.

What’s Next?

Take small steps toward an AI-enhanced workplace. Start with targeted projects, focus on upskilling, and lead with transparency. AI has the potential to be a game-changer, but only if we’re willing to address the elephants in the room, every step of the way.

Transform Your HR with AI and Effective People

As a leading global provider of SAP SuccessFactors, HR advisory, and workforce management solutions, we’re here to help your organization drive better business outcomes, improve HR effectiveness, and create great employee experiences. Staying ahead in AI innovation, we provide your HR team with reliable tools and insights that empower them in an AI-enabled environment.

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About the author

Dirch Cornelsen is the SME of SAP Talent Intelligence Hub and a highly experienced SAP SuccessFactors Solution Architect at Effective People.

With over 17 years of experience in IT and HR, he has worked in various capacities, including as a consultant, solution advisor, and solution architect for SAP SuccessFactors implementations.

Dirch has extensive knowledge and expertise in all areas of the SAP SuccessFactors suite, and he is a certified SAP SuccessFactors consultant in Recruiting, Onboarding, Learning, Performance & Goal Management, and Employee Central.

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