A new report from Phenom and Aptitude Research suggests that while organizations are investing heavily in attracting job candidates, most are failing to engage applicants effectively once they begin the hiring process. The findings highlight a growing disconnect between employer perceptions of hiring efficiency and the actual candidate experience.
According to the State of Hiring Automation: 2026 Benchmark Report, more than 70% of companies still rely on manual workflows after candidates click “apply,” creating delays that can lead to candidate drop-off and extended vacancies. The study evaluated hiring workflows and candidate experiences across industries including healthcare, retail, IT, financial services, manufacturing, and hospitality.
Although 72% of organizations surveyed believed their application experience was effective, the audit found that most companies have not embedded automation into the application stage itself. The report revealed that 94% of organizations do not provide automated interview scheduling during the application process, while 99% fail to use AI-powered voice screening or inline video interviews. In addition, 89% do not incorporate pre-hire assessments during applications, and 65% skip credential verification at that stage.
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The research also found that companies perform far better at attracting candidates than qualifying them. While 37% achieved high maturity scores for candidate attraction and engagement, only 1% demonstrated advanced hiring automation capabilities during the application process.
“Automation urgency is rising, tool ownership is widespread and the business case for inline qualification has never been clearer,” said Madeline Laurano, founder and chief analyst at Aptitude Research. “What this audit reveals is that owning the tools and deploying them where they create value are two very different things. The organizations that figure out the difference in the next 12 months will set the hiring standard for the rest of the decade.”
Phenom argues that hiring automation must be tailored to the role and context rather than applied uniformly. Through its Hypercell framework and WorkOps orchestration platform, the company aims to help organizations deploy AI-driven workflows specific to industry, geography, and job function.
“The invisible space inside every company where work either flows or stalls starts with hiring,” said Mahe Bayireddi, CEO and co-founder of Phenom. “Automation and AI agents only work when they’re applied with context at the right moment, for the right candidate, inside the right workflow.”
The report underscores a broader shift in talent acquisition, as organizations increasingly look to AI and automation not just to attract talent, but to streamline qualification, scheduling, and decision-making in real time.
