Chronus, the enterprise mentoring and employee community platform, has released the findings of its inaugural State of Mentoring survey — an in-depth study of 94 senior HR and talent leaders at organizations actively running mentoring programs, fielded in partnership with strategy and research firm Thinktiv. The picture that emerges is of an industry at an inflection point: mentoring is no longer a niche perk for a select few, but a workforce-wide strategy under real pressure to perform.

Momentum is clear. Six in ten organizations expect to run more mentoring programs over the next two years, budgets are growing, and 86% of HR leaders expect to evaluate or deploy AI-enabled mentoring within two years. Yet beneath the growth, a harder truth surfaces — programs are struggling to keep people engaged, matching quality is falling short, and many organizations cannot prove whether any of it is working. The ambition is there; the infrastructure to match it is not.

Mentoring Goes Mainstream

Long a development tool reserved for early-career employees and high-potentials, mentoring has outgrown its origins. Nearly half of organizations (49%) now extend it to every employee, and roughly a third (33%) extend it to senior leaders and executives. Growth expectations reinforce the shift: 62% expect the number of programs at their organization to rise over the next 12–24 months, and 52% expect budgets to grow.

Diversity, equity, and inclusion efforts have also proven more durable than headlines suggest. Rather than eliminating these programs, nearly two-thirds of organizations (65%) are folding them into core talent and employee development strategies. Investment held steady or rose for most — 47% report no major change, while 31% say investment actually increased.

AI on HR's Terms

The appetite for AI is undeniable, but leaders are setting firm boundaries. The most-cited use cases aren't automation or surveillance — they're about fixing where programs already break down: better matching, smarter goal-setting, and more consistent follow-through. At the same time, six in ten say they're unlikely to let AI act autonomously on HR decisions or feed mentoring data into performance reviews, half are unlikely to permit session recording, and 52% won't fully replace a human mentor with AI. The single most common vendor requirement, selected by 67%, is human oversight.

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Weak Matches, Compounding Consequences

The survey frames matching as the root cause of most program failures — programs are set up to fail at the beginning, not the end. Nearly half of HR leaders (47%) say their matches feel generic or shallow, 43% say matches don't account for personality, interests, or motivation, and only 8% call matching quality strong today.

When the foundation is weak, everything downstream suffers. 39% of participants match but never schedule a first meeting, 54% meet once and don't continue, and 57% keep going but never complete their goals. The fallout compounds: 54% of HR leaders say employees are less engaged in development programs as a result, and 44% say they can no longer prove business impact to leadership.

The ROI Proof Gap

Measurement is emerging as a crisis of its own. 41% of HR leaders cite limited reporting and ROI proof as a top challenge, second only to engagement drop-off, and 53% say clear, executive-ready impact reporting is what would most justify keeping a dedicated mentoring platform in the next budget cycle. More than half (52%) would find anonymized, workforce-level benchmarks against similar organizations highly valuable — yet almost none have access to them today. As Chronus puts it: the programs exist, the data exists, but the insight does not. The survey was fielded by Thinktiv in June 2026, spanning more than 100 questions.