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Driving Innovation in Talent Acquisition with Generative AI

In the fast-evolving landscape of Talent Acquisition (TA), harnessing the power of generative AI (GenAI) is growing in importance for organizations aiming to stay ahead in the competition for top talent. These are the top three drivers prompting TA leaders to adopt GenAI, strategies they use to leverage its capabilities, and proven use cases by sophistication level.

Top 3 Drivers Prompting TA Leaders to Adopt GenAI

  1. Power Net New Capabilities: candidate matching, skill gap detection, and interview feedback.
  2. Scale & Enhance Processes: personalized email outreach messages and candidate summaries for hiring managers.
  3. Standardize Best Practices: structured interview questions and job description creation.

Strategies TA Leaders Use to Harness the Power of GenAI

  1. Adopting Vendors with TA-Specific Solutions such as Workday, LinkedIn, Beamery, or Pillar to personalize candidate communications or write compliant job descriptions.
  2. Adapting Multipurpose Platforms for TA such as ChatGPT, HubSpot, SalesForce, or Canva to create recruitment marketing content or build data readouts for business meetings. 

While the former offers more bespoke applications for common TA tasks, the latter unlocks greater versatility, flexibility, and creative potential. Many TA leaders are evaluating their existing tech stacks to identify recently released AI capabilities, alongside exploring new vendor partnerships.

Proven Generative AI Use Cases by Sophistication Level

The following examples are sorted by sophistication level, progressing from from foundational to advanced.

Foundational: Forming GenAI Tiger Teams to Investigate Top TA Use Cases

Several TA leaders are convening “tiger teams” to evaluate GenAI vendors and pilot promising use cases for the TA team, such as drafting candidate communications and writing job descriptions. This approach not only mitigates legal risk through in-depth bias audits of the tools, but also empowers recruiters to enhance their GenAI skills.

Intermediate: Founding GenAI Labs to Pilot Use Cases Pre-Legal Review

Select TA leaders are building external laboratories designed specifically for AI experimentation. These GenAI labs enable teams to identify prime use cases prior to undergoing legal review, such as using AI to draft LinedIn posts or engage passive candidates.

Skilled: Leveraging GenAI to Boost Recruiter Policy Adherence

Creative TA leaders are partnering with vendors and internal tech teams to embed GenAI into lengthy SOPs that allow recruiters to ask questions about policies rather than manually looking for answers. By making it easier to find official policies through conversational AI queries, teams are noting significantly higher adherence to SOPs.

Advanced: Implementing Microsoft Copilot as a Recruiting AI Overlay

Forward-thinking TA leaders are preparing to launch Copilot as the central interface on top of all recruiting systems, with the intention to eventually act as an end-to-end solution. In this vision, Copilot would alert recruiters of new reqs, generate job posts based on high performers, and flag best-fitting candidates.

Want to start implementing GenAI into your team’s process?

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