The increasing integration of Artificial Intelligence (AI) into professional environments is leading employees to use these tools for more than just task execution. Workers are now turning to AI for personal support, including coaching, counseling, career advice, and even companionship, treating the technology like a colleague or friend.

The Paradox of AI-Driven Support and Persistent Loneliness

Despite this reliance on AI for interaction, workplace loneliness remains a significant issue. This persistent isolation carries substantial business consequences, negatively impacting job satisfaction, performance metrics, and employee retention rates.

The core problem is that AI fundamentally cannot replicate the essential benefits derived from genuine human connection in the workplace. Without proactive intervention from leadership, this trend risks fostering socially isolated roles and diminishing employees' intrinsic motivation to collaborate and support one another.

Research Uncovers AI as a Substitute for Coworkers

Ongoing research sought to understand how employees utilize AI for social purposes and the subsequent effects on their well-being. The study focused on knowledge workers already highly engaged with AI tools, noting that nearly all used AI weekly, daily, or even hourly.

Survey responses confirmed that usage extended beyond simple task completion. Employees were seeking personal validation and career guidance—functions traditionally fulfilled by human coworkers. Nevertheless, more than half of the participants reported experiencing loneliness at work.

The findings suggest that substituting human interaction with AI for social support could potentially weaken company culture and cohesion over time. To safeguard the social fabric of organizations, leaders must implement strategies that actively prioritize and promote connections between people, rather than technology.

How Employees Relate to AI Tools

Evidence of Anthropomorphism in Workplace Interactions

The study surveyed 1,545 U.S. knowledge workers who used AI regularly, with 48% using it daily and 9% hourly. Most utilized general-purpose large language models, alongside specialized AI tools for design or research.

Researchers observed strong evidence of AI anthropomorphism, where employees treated the tools as humanlike entities. For instance, 78% of participants habitually used polite language, such as “please” and “thank you,” when prompting the AI.

Furthermore, 28% of respondents chose humanlike analogies over technological ones to describe their perception of AI at work. Increased usage frequency and the use of voice commands specifically intensified this tendency to personify the technology.

AI Fulfilling Traditional Nontask Support Functions

Researchers adapted the Relationship Functions Inventory to assess if employees sought the same four forms of nontask support from AI that they typically receive from human colleagues: career help, personal growth support, friendship, and emotional support.

The results were surprising, showing that three-quarters of participants used AI for at least one of these social functions. This highlights how common it has become for employees to rely on AI for support previously exclusive to human interaction.

  • Career Development: 64% agreed AI helped them identify career advancement opportunities. One HR director used AI to regain control after an unsupportive boss, while another attributed a promotion to AI-identified opportunities.
  • Personal Growth: 54% felt AI aided in developing life skills, such as becoming a better listener or more patient. A software coder used it to formulate a “gentler and more professional” way to question a superior’s decision.
  • Friendship: 50% agreed that they enjoyed interacting with AI or considered it a “work friend.” One IT head noted, “It makes me feel as if I’m talking and working with someone instead of alone.”
  • Emotional Support: 35% agreed AI helped them cope with stress and showed empathy. A graphic designer vented a stressful situation to a chatbot and received constructive ideas, including drafting an email response.

Certain demographics showed a higher propensity for leaning on AI for social support, including younger workers and men. Managers, employees on teams, and those in office or hybrid settings also tended to rely more on AI socially.

The Hidden Costs of AI Companionship

Loneliness Persists Despite High AI Usage

Despite general satisfaction with the quality of AI support—with one employee calling AI their “best friend in my work”—the data reveals a critical disconnect regarding loneliness. When grouped by the Work Loneliness Scale, 52% of participants reported feeling moderately or highly lonely.

Significantly, even though three-quarters of participants used AI for social support, only 12% reported that using AI actually made them feel less lonely while working. This implies that encouraging AI use alone will not solve the pervasive issue of workplace isolation.

Factors that did correlate with loneliness included a lack of organization-sponsored social activities, shyness, low organizational status, and negative perceptions of coworker care. Many participants were lonely despite working collaboratively, with 83% working in-office at least part-time.

Pessimism Among Lonely Employees

Employees reporting higher levels of loneliness rated their managers as less effective at implementing AI compared to their less lonely counterparts. These isolated workers also felt senior leaders cared less about staff following AI integration.

Lonely employees were significantly more pessimistic about AI’s long-term career impact and expressed greater distrust regarding management’s handling of the technology’s rollout.

A Call for Leadership Intervention

While AI may offer immediate relief to isolated workers in the short term, the very qualities making it a compelling social partner carry potential long-term costs for both employees and organizations. Leaders must intervene to mitigate risks.

The recommended solution involves five key actions: monitoring AI’s social impact, establishing clear usage guidelines, designing AI systems to actively promote human interaction, employing AI to organize social activities, and training employees on appropriate technology use.