Generative AI in TA Tech: Providers and Use Cases

Generative AI is changing the face of HR Technology. ChatGPT has the fastest-growing user base with over 100 million users, so no surprise many providers are trying to keep up with the latest in generative AI.

The potential impact on the future of work is tremendous. Generative AI improves efficiency (automating many administrative tasks), quality (enhancing the quality of content generated), and experience (providing faster results and more immediate answers). But it also has risks, including questions about how the data is captured, security and data privacy, and overall decision-making. Over the past two months, several vendors have made announcements about how generative AI and GPT-4 are enhancing their products. Some are making announcements that will provide immediate benefits to recruiting teams, candidates, and employees. Others are launching press releases for the sake of… launching a press release. My friends Tim Sackett and Kyle Lagunas and I did a roundup of these announcements a few weeks ago, and the list is growing. So, here are a few of the vendors to watch, use cases we have seen so far, and questions to ask providers.

Who are the Vendors Making Announcements?

Beamery: Beamery launched TalentGPT to offer a single assistant that leverages both Beamery’s proprietary AI and OpenAI’s GPT-4 and other leading Large Language Models (LLMs). It will be used across all products to help redefine and personalize the user experiences for recruiters, candidates, and employees. In addition, it will be used to summarize data and generate content that can be contextualized to the right audience.

Eightfold: Eightfold announced that it integrates recent advances in generative AI large language models (LLMs) to create two role-specific Talent Intelligence Copilots (employee and recruiter). Also, its Talent Insights will reflect the changing skills and roles brought about by generative AI in the labor market. These enhancements will improve the experience of recruiters and employees by providing assistance and improving productivity.

SeekOut: SeekOut launched its SeekOut Assist product which allows companies to copy and paste your job description and automatically generates a targeted search, then lists the most qualified candidates for a role. It then personalizes communication with candidates. This announcement will improve the recruiter experience and productivity.

SkyHive: SkyHive announced a job description generator powered by generative AI and received a patent for this product.

Phenom: At its user conference, IAMPHENOM, Phenom announced Experience+ (X+), a new platform-wide generative AI capability that improves efficiencies by automating content creation, surfacing actionable intelligence, and eliminating time-consuming tasks for candidates, employees, recruiters, managers, HR and HRIS teams. 

Microsoft Viva: Microsoft Viva announced Copilot, which takes advantage of next-generation AI and is built on the Microsoft 365 Copilot System, which combines the power of large language models (LLMs) with your data in the Microsoft Graph and the Viva apps to give leaders an entirely new way to understand and engage their workforce.

Other vendors making announcements include EY, Cliquify, LinkedIn, HireEZ, and iShield. The list will go on over the next few months.

What are the Use Cases?

Job Descriptions: Generating job descriptions and using copilots to assist in creating job descriptions and templates.

Summarizing Data: Summarizing data and extracting data in existing ATS and HRIS systems to provide insights and answers to companies.

Sourcing: Searching for candidates using job descriptions and job titles and providing a list of candidates.

Communication: Generating email templates and personalizing them for targeted audiences, providing immediate answers to employees’ questions.

Onboarding: Providing personalized new hire experiences and generating content for new hires.

These use cases do not include how candidates and employees may use ChatGPT and generative AI to respond to screening questions, take an interview or an assessment, or participate in a performance review.

What are the Concerns?

We are at the very early stages of generative AI, and companies evaluating providers should stay informed and ask the right questions of their providers. Companies should be concerned about employees entering confidential data in open LLMs and the risk to security and data privacy. And at this stage, generative AI still needs to pass decision-making off to existing systems or humans.

–    What are the use cases for generative AI, and how is the data being used once captured?

–    Are vendors using private LLMs or open LLMs?

–    What do vendors need to change internally to support generative AI (design thinking approach, new sales process, AI skills, and talent)?