Most organizations are increasing their artificial intelligence budgets, but a new report shows human resources teams lack the skills and integration strategies to turn that investment into actual workforce decisions. The gap between AI spending and practical application leaves HR departments stuck in the pilot phase while entry-level roles face mounting pressure.
Investment rises, execution stalls
Avature's AI Impact Report 2026 surveyed organizations and found that 88 percent expect to increase their AI spending this year. Despite this financial commitment, 51 percent remain in the exploratory or piloting phase. Only 11 percent have integrated AI into core HR processes, and just 5 percent use it as a strategic advantage. Legacy software limitations block 28 percent of HR leaders from scaling their initiatives.
Skills gaps block progress
A lack of internal expertise is the primary obstacle to effective adoption. Only 9 percent of respondents report having strong, organization-wide AI capabilities, while 70 percent are still building these skills or rely on isolated pockets of talent. This knowledge deficit makes it difficult to plan for the future, as just 11 percent of HR leaders feel very confident predicting their skill needs 12 months out. To address this gap, many HR teams are pursuing targeted training, such as an AI Learning Path for HR Managers, to build practical automation and analytics skills.
Trust falls when judgment is required
HR leaders are comfortable assigning AI repetitive tasks, with 70 percent trusting it to answer candidate FAQs and 64 percent trusting it to match candidates to roles. That comfort disappears when judgment is required. Some 98 percent of respondents do not completely trust generative AI to make workforce decisions, and 26 percent do not trust it at all. While 62 percent trust AI to schedule interviews, only 8 percent trust it to make hiring decisions without human oversight.
"AI is influencing how organizations think about talent, but the real opportunity is in how it is applied," said Dimitri Boylan, founder and CEO of Avature. "The next phase depends on HR's ability to use AI to understand skills, anticipate change and make better workforce decisions."
Entry-level roles face pressure
The report also highlights the effect of AI on early-career positions. Some 76 percent of respondents concerned about this effect believe it will significantly reduce hiring for entry-level roles. However, the immediate timeline remains uncertain, with only 19 percent expecting job losses this year and 27 percent saying it is too soon to tell. Within HR and talent teams specifically, 35 percent anticipate slight headcount reductions.
Why this matters for HR
"If AI only makes individual employees more efficient, companies risk ending up on the wrong side of disruption," Boylan said. "The real advantage comes from using AI to drive smarter, organization-wide decisions." For HR departments to capture that advantage, they must transition from isolated experiments to integrated workflows. Building this capability requires structured education, which is why many professionals are exploring broader AI for Human Resources certifications to connect their talent strategies with organizational goals.
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