Asger Risom
Women spoke more — and men spoke less — when AI notetakers entered workplace meetings, as participants became aware their behavior was now permanently recorded.
AI meeting assistants are doing more than transcribing conversations and generating summaries. New research suggests they may also be changing workplace power dynamics, particularly by influencing how much women and men speak during meetings.
A 2026 study by Read AI found that women spoke more — and men spoke less — when AI notetakers were present in virtual meetings, reversing a long-documented imbalance in workplace participation. Researchers say the findings could have broader implications for leadership perception, collaboration, and gender equity in modern workplaces.
Breaking old habits
Forbes, quoting the study, writes how workplace studies have consistently shown that men tend to dominate meeting airtime, especially in environments where they outnumber women. Researchers have found that men are more likely to speak first, interrupt more often, and hold the floor for longer periods.
The Read AI study suggests AI tools may be disrupting some of those patterns. Researchers analyzed nearly 160,000 virtual and hybrid meetings across more than 30 industries and found that women contributed 9% more airtime than men relative to their representation in meetings when AI notetakers were active.
Researchers suggest AI notetakers may alter behavior because participants know their contributions are now permanently recorded and reviewable. In practice, that means the kind of rambling, interruption-heavy, dismissive or airtime-dominating behavior often associated with men in workplace meetings becomes attached to a searchable transcript rather than disappearing the moment the call ends.
The shift may have less to do with empathy and more to do with accountability. Once meetings become transcribed records instead of fleeting conversations, participants become far more aware that monopolizing airtime or speaking carelessly leaves a permanent trail.
The technology may also reduce a workplace burden that has historically fallen disproportionately on women: taking notes. Numerous workplace studies have found that women are more likely to be assigned administrative meeting tasks, often limiting their ability to fully participate in discussions.
Leadership and influence
The shift matters because speaking time is frequently linked to perceptions of leadership and authority, regardless of the quality of someone’s contribution.
A 2020 study published in The Leadership Quarterly found that participants were more likely to perceive frequent speakers as leaders simply because they spoke longer. Researchers referred to the phenomenon as the “babble effect,” where airtime itself becomes associated with competence and influence.
If AI tools help balance participation, they could indirectly affect hiring, promotion, and leadership evaluations by making women’s contributions more visible during discussions.
Researchers have also linked more balanced participation to stronger team performance. Studies from Carnegie Mellon University and MIT found that teams perform better when conversation is shared more evenly among members rather than dominated by a small number of participants.
Problems still remain
The Read AI study also found that many workplace imbalances persisted even when AI notetakers were present.
Women were still significantly more likely to disable cameras or mute themselves during online meetings, a behavior researchers described as “ghost mode.” Men also continued using more dismissive or exclusionary language despite conversations being transcribed and analyzed.
Interruptions, unequal credit for ideas, and other forms of workplace bias remained largely unchanged.
Researchers say the findings show that AI tools alone cannot solve deeper organizational or cultural problems. However, they may help expose behaviors and dynamics that companies previously struggled to measure or address directly.
AI as workplace oversight
Beyond transcription, AI meeting tools are increasingly becoming systems that analyze participation patterns, collaboration habits, and conversational behavior across organizations.
That creates new opportunities for companies to identify recurring issues around interruptions, unequal participation, or exclusionary behavior using measurable data rather than anecdotal complaints.
The findings also highlight a broader shift in how AI is entering workplaces. Instead of simply automating tasks, some tools are beginning to shape how employees interact with each other — and potentially challenge long-standing workplace behaviors that many organizations have struggled to address for years.
Sources: Read AI, Forbes
