On May 29th, in my capacity as HR.com’s Chief Evangelist and Recruiter in Residence, I had the privilege of MCing a full day of virtual event sessions on recruiting and sourcing. As the June talent acquisition theme on HR.com is recruitment marketing, I thought it could be helpful to share the key recruitment marketing content creation takeaways from the May 29th 1pm EST breakout session, Leveraging AI for Recruitment Marketing Content Creation, led by Cam Moore from Snapchat - Snap inc.
For those that missed it, you can view an archived recording of this session by clicking here.
Cam Moore came to HR.com’s attention highly recommended by members of the Talent Brand Alliance (TBA) who have attended Cam’s previous speaking sessions in their community. Cam certainly delivered for the HR.com community on May 29th, as promised by the TBA community.
He is an engaging and fun personality, with a unique and fresh perspective for recruitment marketing as his background as an artist in the entertainment industry. Cam focused his session specifically on the topic of leveraging AI for recruitment marketing content creation.
Before proceeding to my top recruitment marketing takeaways for the HR.com community from Cam’s session, I must provide a bit of context. Cam Moore opened his session with a general introduction to the top 4 ways all types of marketers use AI and how recruitment marketing content creators can use AI: 1) generate ideas 2) write copy 3) create marketing images 4) summarize texts into key points. His presentation was arranged and conducted based on these same categories of how marketers use AI. Therefore, my 4 takeaways from Cam’s presentation are based on these same 5 areas of focus for marketers.
Generative AI can be used for job descriptions that embrace a true skills-based hiring philosophy. Throughout the presentation, Cam discussed how AI can be used by recruitment marketers for idea generation. After giving some basic ideas on how ChatGPT prompts can be used by HR and TA marketing practitioners, Cam proceeded to use the rest of his presentation on the practical and engaging idea of using a fictional example of a Pet Dating App. He outlined very specific ways a marketer might go about using AI to create content, including recruitment marketing content, for this fictitious business. One great idea generation Cam used for this fictional Pet Dating App business was to generate a list of 4 skills that might be needed for this business to hire a marketing executive in the entertainment industry. This was clever as this prompt strategy allowed the fictional employer to embrace skills-based hiring rather than experience-based hiring by requiring industry experience and writing job descriptions based on the industry of the employer.
Generative AI can be used by recruitment marketers, HR and TA practitioners to generate job descriptions and other types of copy such as employer and corporate branding content. After generating a list of skills for the fictional companies needed for a marketing professional, Cam proceeded to demonstrate how those marketing skill sets can be attached to generating a marketer job description consistent with employers’ needs, rules, and standards. He later followed up with a great example for employment branding professionals with an example of an AI generated and prompted a fun list of the Top 10 benefits of having dogs and cats as pets.
Generative AI can be used for effective recruitment marketing image generation, but practitioners need to be careful. Continuing with the Pet theme throughout his presentation, Cam used a great example of generating AI images to show in practical real life ways, how simple prompts can generate great AI images for recruitment marketers. Specifically, what Cam did was prompt Adobe AI to show an image of “a black cat in the forest overlooking a castle, dark background and space for text.” Additionally, Cam used helpful real life examples to warn marketing professionals of the risks and downsides of generative AI images. He advised practitioners that AI is programmed to mimic and copy several things. Therefore if certain images are too heavily influential on the final AI product, especially when specifically prompted to use a specific image as a sample, it can very easily result in theft and copyright infringement of another artist's work, even if the final image was drawn by generative AI technology.
Generative AI is ideal for taking the larger universe of knowledge and content and easily turning it into a summarized and digestible format. Cam used a hypothetical example of a talent brand strategist for the fictional Pet dating site to put together an entertaining list of the top 5 benefits to employers and employees of allowing pets in the workplace. With this example, Cam demonstrated to recruitment marketing practitioners that contrary to the myth, AI in fact can be used to generate fun and entertaining content, not just bland and generic content.
Overall, I enjoyed hosting Cam Moore and introducing him for the first time to the HR.com community. He is very knowledgeable, lively, and engaging. His presentation was informative and used several practical examples with actionable recruitment marketing takeaways for practitioners in their own real life jobs. Speaking for myself as a recruiting practitioner, I always judge presentations mostly based on the number of real life practical takeaways I acquired vs theoretical and aspirational knowledge. In this regard, Cam Moore delivered for the HR.com recruitment marketing community in droves. Cam Moore’s May 29th presentation is highly recommended for anyone looking to get started using generative AI for any recruitment marketing or talent acquisition content generation purpose.