Organizations are layering AI onto a recruiting function that was never built to operate strategically, and then wondering why the problems are getting worse, not better. The technology is not the issue, the foundation is. Amy Hitchner-Allison, a recruiting strategist with 15 years in the field, has watched organizations cycle through tools, rebrand their processes, and announce strategic hiring initiatives while the underlying dysfunction stays exactly where it was. “The issue isn’t AI,” Hitchner-Allison states plainly. “The issue is the foundation, which was never built to operate at a strategic level in the first place.”
Reactive by Design
Recruiting becomes a priority inside most organizations only when something has already gone wrong. Roles have been open too long. Teams are strained, revenue is at risk, and by the time leadership is paying attention, the problem has already compounded. This is not a resource problem or a talent market problem. It is a structural one, with recruiting treated as a support function rather than a business function, staffed, in many cases, by people who entered the field as a stepping stone to something else. “That lack of long-term investment shows up in inconsistent processes, weak systems, and limited strategic influence,” Hitchner-Allison reflects.
The cost is not confined to HR. Misaligned hires, persistent underperformance, and repeated turnover in the same roles spread across every dimension of the organization, execution, culture, and revenue. “It’s costing the company leverage,” she observes. “And over time, the gap between a strong and a weak hiring system becomes the competitive advantage.”
Audit Before You Automate
The most expensive AI mistake organizations make is implementing a sourcing tool when the actual problem is communication between the hiring manager and the recruitment team. Hitchner-Allison has seen this repeatedly and without ambiguity. “Most companies are getting enough of the right candidates,” she notes. “They don’t need an AI tool to source. But since they heard it was a great idea, they went ahead and did it. Now they’ve spent thousands of dollars on this tool for their recruiters when the problem was something else entirely.”
The fix requires a different sequence. Recruiting needs a designated leader with a seat at the table alongside C-suite and HR leadership. Not as a token presence, but as someone who can surface where the gaps in personnel actually exist and what leadership sees that the recruitment team might not know.
From there, the diagnosis has to be specific. Is the problem that interviews are happening, but the right candidate is not being identified after a month? Is the hiring manager’s expectation unclear, or, in some cases, legally problematic, when a hiring manager specifies demographic characteristics for a role and a junior recruiter does not know how to navigate that conversation? Is the recruitment team asking the right questions, or simply filling positions without understanding why previous hires in those roles did not last? “Once you understand that piece, then you can see how to fix it and whether there is an AI tool out there to fix it,” Hitchner-Allison insists. “I strongly recommend recruitment teams audit their processes and operations as a whole before any AI is implemented.”
Agentic AI Needs a Supervisor
Only 26% of candidates trust AI to evaluate them fairly, but Hitchner-Allison is quick to note the trust gap did not start with AI. Candidates distrusted the hiring process long before agentic systems entered it. Closing that gap does not require slowing down hiring. It requires transparency, communicating clearly where AI is used and why, keeping final decisions at the human level, and giving candidates a genuine opt-out that neither penalizes nor advantages them. It also requires using AI’s capabilities more honestly.
“If we’re using AI to source candidates and we’re not moving forward with them, why are we still giving them the generic thanks-but-no-thanks email?” she challenges. On agentic AI making autonomous hiring decisions, Hitchner-Allison is direct about both the direction and the risk. She references a case where agentic AI writing code, unable to find answers, began inserting meaningless characters. Nobody was overseeing the output. It went undetected for weeks. When it finally failed, it failed completely. “Treat the agentic AI as an operator inside the business,” she urges, “but give it a supervisor.”
The employees currently performing operational recruiting roles are not overhead to be eliminated; they are the people best positioned to train, monitor, and correct the AI systems that support them. Companies that lay off those teams in favor of a single operator overseeing AI will discover within 6 to 12 months what they actually traded away. The organizations that will win the hiring advantage of the next decade are not the ones that moved fastest to implement AI. They are the ones that were honest enough to audit what was broken first and disciplined enough to fix the foundation before building on top of it.
Follow Amy Hitchner-Allison on LinkedIn for more insights on recruiting strategy, AI in talent acquisition, and building the hiring infrastructure that drives lasting competitive advantage.
