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Rise Like a Phoenix or Perish Like the Dodo: Forging the Future of Recruiting

November 13, 2024 · ERE Recruiting Conference Fall 2024 ·

About this video

Recruiting is being remade by artificial intelligence in ways that go far beyond applicant tracking systems or job boards. Neural networks and tools like ChatGPT have created adoption rates no earlier technology matched, and that shift is dismantling long-held assumptions about how hiring should work.

Several widely held beliefs about recruiting turn out not to hold up. Candidates often prefer chatbots to human contact, much the way people now use ATMs instead of bank tellers or buy from Amazon instead of visiting a store. Human intuition in screening is frequently just bias in disguise, and AI tools, while imperfect, are already less biased and improving. The resume itself is losing relevance: a digital footprint across social media and professional networks now offers a richer, more predictive picture of a candidate than a CV ever could.

Nearly every stage of recruiting can already be partially or fully automated, including:

  • Sourcing and engaging passive candidates, where AI tools outperform humans at getting responses
  • Branding and marketing, using predictive analytics to attract quality over volume
  • Screening, assessment, and offer generation, including salary recommendations and tailored offer letters
  • Onboarding, reporting, and workforce planning through talent intelligence
  • Credential verification through blockchain records that, once entered, cannot be altered

The scale of change ahead includes a growing mismatch between the number of qualified applicants and available jobs, a workforce increasingly made up of part-time, contract, and older or younger workers who don't want traditional employment, and AI agents capable of sourcing, screening, and delivering a ready-to-hire candidate to a manager's desk. Recruitment process outsourcing firms, already better resourced to build integrated AI systems than most internal HR departments, stand to take on a larger share of the work.

What remains for people in the profession is a different set of roles: talent architects who select and audit AI tools for bias, advisors and orchestrators who manage a diverse and fluid talent ecosystem, scouts skilled at finding the small percentage of candidates who deliberately avoid a digital footprint, and strategists who design an organization's overall approach to talent. The tactical, administrative parts of recruiting are disappearing; the strategic and advisory parts are where the job's future lies.