AI's winners—and those being left behind
As part of our annual Digital Etiquette Report, 4,000 knowledge workers across the UK, the US, Germany, and Canada shared with us their experiences with AI access, training, and perceptions. The results were startling:
- High earners are twice as likely to have had 20+ hours of AI training in the past year.
- Only 6% of low-income respondents said AI increased their job satisfaction, compared to 50% of high earners.
- Women receive less training than their male counterparts throughout organisational hierarchies: only 58% of women in director roles received structured training sessions on AI from external providers compared with 73% of men in the same position.
- At intern level, the figures show that men are more than twice as likely to have received external training (47% versus 23%). Interns and entry-level staff were far less likely to feel safe using AI at work than senior leaders.
Why do these figures matter? Global trends point to expectations of even more AI presence in the workplace. In the past month alone, major corporations like
AWS and Microsoft have announced a $4 billion commitment to AI upskilling for schools, colleges, and non-profits. There is a rush for all of us to upskill in AI to be more productive, more efficient, and to ultimately do more with less, but – as our research unveils – access to training is not equal. The contradiction is clear: AI is becoming an essential skill, yet securing meaningful access to tools and training is proving more difficult than those who are already AI proficient may believe.
But at the same time, as workers are expected to upskill,
unions and workers' rights organisations are voicing concern about job displacement and AI bias. Inequal access to AI resources may actually accelerate the workplace disruption that many fear, and our research shows that this may disproportionately affect low-income earners, younger workers, and women.
For those who do unlock the AI gate, the results are game-changing. Our research found that 46% of workers with 20+ hours of AI training save more than 11 hours per week, which averages 70 days reclaimed over the course of a year! Some of our respondents reported even more time saved, and the time saved and job satisfaction went hand in hand, as respondents reported using time saved for focusing on previously neglected parts of their role (36%), deeper collaboration with their teams (29%) and wellbeing activities (24%). Our data was clear: when proper training is implemented alongside AI, it is not just productivity that is unlocked, it is the happiness of your teams.