Adoption and Concerns about Artificial Intelligence in Talent Management: Results from the TTS Client Conference

The adoption of Artificial Intelligence (AI) in talent management is a groundbreaking development in the modern world of world. From automating mundane tasks to enhancing decision-making processes, AI is reshaping how organizations approach talent acquisition, assessment, and development.

In our recent conference, AI and Beyond, we asked clients, consultants, and industry thought leaders what they thought about AI’s implementation in the talent industry, with specific reference to how they have seen AI and Large Language Models (LLMs) like ChatCPT implemented in their organizations as well as the concerns and possible obstacles they have uncovered in such implementations.

Below we examine key findings and discussions from the conference, offering a comprehensive view of the current status of AI and LLM applications in the world of talent management and assessments.

AI Adoption in organizations

The adoption of artificial intelligence (AI) in talent management represents a significant shift in how organizations approach human resource processes, from recruitment to assessment and beyond. This adoption is characterized by the integration of AI applications into various aspects of talent management, influencing the efficiency and effectiveness of these processes. Applications include automated screening, interactive interviews, and job profiling, as well as streamlining processes and enhancing efficiency.

However, the extent of adoption varies, with some industries exhibiting caution and prioritizing human elements in the assessment process.

Integration of AI in recruitment and assessment

Some of our client organizations have begun to incorporate AI into their talent acquisition strategies, notably through tools like HireVue for video interviewing.

Such integrations address the persistent challenge of handling large volumes of applicants, such as graduate programs that attract thousands of applicants.

Addressing talent assessment efficiencies

Talent assessment professionals face several challenges, such as the time-consuming nature of traditional report writing, which can take up hours of their time that could otherwise be used more productively.

AI offers a solution by integrating data and transcripts to expedite this process. However, there’s a consensus that AI cannot completely replace the human element in talent management. The nuanced understanding and interpretation of data still require human (i.e. IO Psychological) expertise.

In addition to report writing, organizations are also exploring how to use AI-related technologies like machine learning to enhance efficiencies within their talent management functions, although many such initiatives are still in their infancy.

Custom AI tools for enhanced security and efficiency

To address security concerns and specific needs, some organizations have developed their own AI tools, akin to ChatGPT, for internal use. These tools are used for various purposes, such as using it as a shared database for confidential information, much like an enhanced version of SharePoint. This approach ensures security while leveraging AI’s capabilities for internal processes.

AI’s Role in profiling and talent management

In job profiling, AI’s capability to generate initial job profiles, which are then refined by talent management specialists, illustrates how it can support such core professional competencies. This collaborative approach between AI and human judgment is crucial in creating accurate and relevant job profiles in this regard.

Using AI in enhancing learning and development

AI’s influence extends to learning and development, where it is used to integrate employee databases into succession planning and talent management.

This integration aids in connecting learning initiatives with talent management strategies, thereby creating a more cohesive and efficient approach to employee development.

Concerns and obstacles to adopting AI

Despite encouraging signs of successful implementations of AI into the daily work of talent professionals, the integration of AI with talent management is not without risk and obstacles.

Although some of the skepticism surrounding AI in talent management can be attributed to a lack of understanding or perhaps a fear of the unknown, the picture that emerged from our conversations is more complex.

AI Collaboration versus AI Replacement

Our conference attendees all agreed that AI should be viewed as a collaborative tool that enhances human capabilities rather than replacing them. For instance, AI can assist in compiling executive summaries, generating ideas, and even aiding in creating presentations and reports. And, its ability to process large amounts of data quickly and efficiently allows professionals to focus on more strategic and creative aspects of their roles.

But, a risk that many of our clients spoke of is when AI is not seen as a tool to collaborate with but rather a way to replace people, or used by individuals to suborn tasks that they would rather not do themselves.

Ethical Considerations and human oversight

While AI offers numerous advantages, ethical considerations and the need for human oversight cannot be overstated. Our respondents all felt that AI in talent management should be responsibly monitored, with continuous evaluation and adaptation to ensure its effectiveness and ethical application.

The human element therefore remains crucial, especially in interpreting and applying AI-generated insights in a meaningful and contextually appropriate manner.

Resistance to AI Adoption in organizations

Resistance to AI adoption often stems from a lack of understanding of AI’s capabilities. This resistance is not just theoretical; some organizations are reverting to outdated and traditional methods, such as paper and pencil, due to apprehensions about AI.

Concerns about the potential impact of AI on language development and reasoning abilities have also been expressed. There is a clear need for organizations to better understand and differentiate between AI tools like ChatGPT and traditional search engines, to address these concerns effectively.

Many organizations are cautious about fully embracing AI in talent management. A notable example is the use of AI for CV screening. While AI can efficiently sort through numerous applications, there is a risk of candidates manipulating their CVs to align too closely with AI parameters, potentially skewing the recruitment process.

Despite AI being a beneficial tool, its perception as a threat to jobs and traditional processes is a significant barrier to wider acceptance.

Intellectual property concerns

The potential for AI to learn and replicate intellectual property (IP) is a significant concern. Organizations fear the unauthorized use or dissemination of their IP, especially when AI tools are involved in processing sensitive materials.

To this point, we observed one of our clients’ reluctance to use a generative AI video for a sensitive announcement, preferring the human touch. This further underscores the need for careful consideration of AI’s role in sensitive areas.

The way forward: Integration of AI in work routines

Most of our clients agreed that the challenge in integrating AI into daily work routines is one of understanding the balance between enhancing efficiency without compromising the quality of work or ethical standards.

Helping individuals and organizations through this transition and ensuring that they adopt AI correctly, is a significant part of this process. This includes educating people about AI’s capabilities, limitations, and the best practices for its use.

Final thoughts

The use of AI and LLMs in talent management and assessment is a complex issue. While AI offers significant advantages in efficiency and data processing, concerns about ethics, intellectual property, and the potential impact on the unique contributions of human expertise cannot be ignored.

Organizations and practitioners must approach AI integration with a balanced perspective, ensuring that while they leverage the benefits of AI, they also maintain the essential human touch and ethical standards in their processes.

One conclusion that was unanimous among our conference attendees is this: AI and LLMs have the potential to revolutionize talent assessment and management, offering increased efficiency, accuracy, and innovative approaches to traditional processes. However, the successful integration of AI depends on balancing technological advancements with ethical considerations and human expertise.

If you are interested in how TTS can help you integrate AI talent solutions into your talent management function, why not drop us a line at