Winning the Race for Skills with Skills-Based Hiring

Skills have become the cornerstone of many human resources practices—and one of the top HR trends in 2024. SAP’s HR researchers explored why both employees and organizations value a skills-based approach to people practices such as hiring.

According to findings from over five years of global research conducted by SAP SuccessFactors HR research scientists, 88% of employees would feel positively about skills-based people decisions in their organization. Along with employee satisfaction, HR and talent acquisition leaders see many potential benefits of the skills-based approach. For example, a focus on skills can support internal mobility, help realize employee potential, and make recruitment faster, easier, and more transparent.

So, what does “skills-based” mean? With a skills-based approach to human resource management, work is organized entirely around skills, from hiring and compensation to workforce planning, reskilling, and upskilling. Decisions are made based on skills and capabilities rather than traditional criteria like education or job experience.

Of course, there’s no universal blueprint that works for every scenario: there are multiple approaches to prioritizing skills in an organization. How skills-based practices are implemented depends on organizational culture, industry, labor regulations, and many other factors, but a great place to start is with skills-based hiring.

What Is Skills-Based Hiring?

Skills-based hiring is an approach to recruiting new employees based on their skills and ability to perform a job instead of the formal qualifications listed on their resume or curriculum vitae (CV), such as education or previous job titles.

Benefits of Skills-Based Hiring for Talent Acquisition

To understand why skills-based hiring works well for talent acquisition, we must consider the question what is talent acquisition? At its core, talent acquisition aims to address not just the current talent needs but also the long-term, strategic workforce plans. It can do so by predicting what skills the organization will require in the future to stay competitive, grow, and scale to future needs. Skills-based hiring can support a future-oriented talent acquisition strategy, thanks to:

  • Productivity: People with the right skills for the job can be more effective in their roles.
  • Diverse talent pools: A skills-based approach helps find qualified talent that wouldn’t be found otherwise, expands talent pools, and increases workforce diversity.
  • Transparency: Skills-based talent decisions can be more equitable, fair, and legally defensible while also helping candidates get clarity and more agency over their careers.
  • Efficiency: Skills-based practices enable faster talent decisions, which, in turn, accelerate the entire recruitment process, reducing time to hire and productivity.
  • Strategic hiring: A skills-based approach helps organizations understand the skills they will need in the future and hire talent to fill those gaps.
  • Approach validation: Skills-based hiring is a great way to demonstrate the value of prioritizing skills—before implementing the approach across other HR practices.

Considerations for Adopting Skills-Based Hiring: Exceptions, Misconceptions, and Challenges

Of course, there are still barriers to adopting the skills-based approach to hiring and recruitment. Sometimes, traditional criteria are necessary, such as when hiring for roles that require a specific degree or certification, like lawyers, doctors, and pilots. Candidates’ backgrounds and experience can also be crucial. Senior leaders may be chosen in part due to their industry or market experience; public relations leaders may be hired for their network and media contacts.  

There are also many misconceptions about skills-based hiring. For instance, some believe that resumes are unsuitable for skills-based hiring because they’re structured around traditional criteria, such as education and past job titles. In reality, candidates can focus their CVs more on skills, and organizations can use applicant tracking systems and other recruitment software to analyze resumes and screen for the best applicants. In fact, thanks to the use of AI-enabled recruiting tools, skills can even be inferred from experience listed on resumes.

Talent intelligence solutions help source the right skills needed for the future

Finally, a widespread concern among talent acquisition leaders is how to make skills-based decisions equitably and efficiently. To do it fairly and thoroughly, they may need to research which skills are relevant for each role, devise custom skill assessments, and prepare job-specific interview questions rooted in the relevant skills. However, the recruitment process also needs to move along quickly, yield good results, and create a smooth candidate experience. So, although mindsets about skills-based hiring are changing, many talent acquisition leaders are still concerned about the efficiency of this approach. Thankfully, this is where technology can make a crucial difference.

Removing Barriers to Skills-Based Hiring

Skills-enabling technologies have long been used in HR practices: online learning systems to help employees develop new skills and complete required training, job architectures that help define roles and the skills needed for them, and skill assessments to help understand the capabilities and skill proficiencies that people have. While some potential barriers to adopting a fully skills-based approach may exist for certain roles, AI can help empower organizations to hire the best talent with the skills needed to succeed. Using SAP Business AI for HR and SAP SuccessFactors solutions can provide organizations with multiple approaches to adopting skills that may fit their unique workforce and hiring needs.

Using AI to Fuel Your Skills-Based Hiring Approach

The widespread adoption of AI in HR has opened up new capabilities in talent acquisition software while also optimizing existing functions. For example, with the SAP SuccessFactors Recruiting solution, talent acquisition teams can leverage AI to help them adopt skills-based hiring practices:

  • Skills Framework: The SAP SuccessFactors talent intelligence hub offers an AI-enabled skills framework that can allow organizations to consolidate skills data from multiple sources for a comprehensive view of their workforce. AI-driven capabilities within the skills framework can allow organizations to align skills to job roles to better understand and address skills gaps.
  • Job descriptions: AI-assisted content generation allows recruiters to quickly create and enhance compelling skills-based job descriptions to attract diverse candidates with the right skill sets.
  • Improved candidate experience: When candidates upload their resumes during the application process, AI-driven skills extraction allows them to view, validate, and manage skills on their profiles.
  • Job recommendations: Upcoming innovations include the ability for candidates to use AI to help them find the best opportunity for them based on skills extracted from their resume.
  • Resume analysis: Using AI-driven skill inference, recruiters can quickly analyze applicants’ resumes and compare best-matched candidates based on skills.
  • Interview questions: With insights from skills data, AI can recommend relevant skills-based interview questions to ensure interviewers are prepared to fully engage with top candidates.
  • Skills evaluations: Using AI-recommended interview questions, interviewers can effectively assess candidates and provide evaluations based on the skills needed for a role.
  • Equitable decision-making: AI-assisted applicant screening helps recruiters make bias-free, skills-based hiring decisions quickly and confidently.

AI can be a true catalyst to an organization’s hiring potential, and many of our customers are already leveraging AI-enabled capabilities. If you’re curious how works, check out this FC Bayern customer story.

Skills-based hiring is an excellent way to recruit the talent your organization needs to thrive and stay competitive—today and into the future. The right recruitment software can make skills-based hiring intuitive, equitable, and efficient.  

For a deep dive into our skills research, get the full report on making skills a reality in your organization and explore SAP SuccessFactors Recruiting.


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Why SAP’s Updated AI Ethics Policy Is Based on the Human Rights-Oriented UNESCO Recommendation

Demands on the SAP Global AI Ethics policy have fundamentally changed since the document was last updated in 2021. While the policy previously only addressed a niche audience of SAP employees developing AI, the advent of generative AI and business AI has changed both the scope of the policy as well as the number of interested stakeholders.

“Generative AI”, explains Vikram Nagendra, director of Sustainability at SAP, “led to an explosion of interest in the policy. Nearly all of the lines of business became involved, business AI is now the centerpiece of our strategy, and today nearly every employee is touched by AI, either building it or as a user.”

Now the latest version of the SAP Global AI Ethics policy is aligned to the UNESCO Recommendation on the Ethics of AI, covering generative AI and applicable to specific partner and third-party systems as well all employees.

The UNESCO Recommendation on the Ethics of AI is the most comprehensive global framework available for shaping the development and use of AI systems. Adopted by all 193 Member States, it comprises 10 principles that protect and advance human rights, human dignity, the environment, transparency, accountability, and legal adherence. “Knowing that SAP has aligned its ethical principles on a globally accepted standard means that as long as SAP colleagues comply to these principles during the development, deployment, use, and sale of AI, they can be truly confident that it is to the highest ethical standards,” Nagendra says.

The SAP Global AI Ethics policy comprises 10 guiding principles on AI ethics grounded on the UNESCO principles, and each principle is defined in the context of AI at SAP. A brief section on governance, Nagendra explains, “shows how individual developers and teams are not alone and can rely on both governance bodies and processes for proper handling if there is a problem.”

SAP’s Guiding Principles on AI Ethics

  1. Proportionality and Do Not Harm
  2. Safety and Security
  3. Fairness and Non-Discrimination
  4. Sustainability
  5. Right to Privacy and Data Protection
  6. Human Oversight and Determination
  7. Transparency and Explainability
  8. Responsibility and Accountability
  9. Awareness and Literacy
  10. Multi-Stakeholder and Adaptive Governance and Collaboration

Why Does SAP Use the UNESCO Recommendation?

The UNESCO Recommendation on the Ethics of AI is an internationally recognized set of values that reaches beyond current legal adherence and creates ethical safeguards in the absence of national or global standards. For example, the Fairness and Non-Discrimination value commits SAP to not only protecting fairness but also to promoting it and putting in place as many safeguards as possible to avoid discriminatory or biased outcomes.  

SAP aligns with the UNESCO Recommendation on the Ethics of AI because it:

Reinforces SAP’s Commitment to Human Rights

The cornerstone of the UNESCO Recommendation on the Ethics of AI is the protection of human rights and dignity. This aligns with SAP’s commitment to respect and advance human rights across business operations, product lifecycle, and the extended value chain. Upholding this commitment is foundational to SAP’s approach to AI ethics.

“The UNESCO principle of Proportionality and Do Not Harm resonates with me because the power to affect the rights of individuals should correspond to the responsibility to protect the relevant human rights.”

– Camila Lombana Diaz, AI Ethics Expert and Researcher, SAP

Increases Trust with Stakeholders, Employees, and Customers

Grounding SAP’s AI ethics in the UNESCO Recommendation on the Ethics of AI enables SAP to match business opportunity with human rights considerations and role model behavior for ethically developing, deploying, selling, and internally using AI systems.

Enhances the Reputation of SAP as a Responsible and Socially Conscious Organization

The 10 guiding principles on AI ethics in the SAP Global AI Ethics policy form the basis for SAP’s AI Ethics Handbook. This handbook translates the principles into actionable items and processes to guide the development and deployment of AI systems that have human oversight and determination, are fair and non-discriminatory, and protect and promote sustainability as well as individual privacy. The principles in the SAP Global AI Ethics policy combined with external guidance from the SAP AI Ethics Advisory Panel, internal guidance from the SAP Global AI Ethics steering committee, and the AI Ethics Handbook provide transparency on how SAP delivers responsible AI.

“The UNESCO principle of Sustainability resonates with me because it underlines SAP’s sustainability commitment and the need to assess and address the impacts of AI both positive and negative from a holistic perspective. We need to take them into account across the full range of dimensions: human, social, cultural, economic, and environmental.”

– Christine Susanne Mueller, Deputy Human Rights Officer, SAP

Supports Risk Mitigation

The UNESCO Recommendation on the Ethics of AI provides a robust, globally recognized framework to help ensure regulatory requirements for customer compliance with current and future regulations related to AI.

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