The second annual tech worker sentiment survey shows a workforce splitting in two over AI, with significant burnout jumping from 44.7% to 55.7% and manager effectiveness emerging as the strongest driver of how people cope. For marketing leaders mid-AI-rollout, this is a management brief, not a tooling one.
The AI divide inside teams is not a skills gap. It is a leadership gap wearing a technology costume.
The second annual tech worker sentiment survey, published through Lenny's Newsletter with researcher Noam Segal, describes a workforce splitting in two. Half of respondents feel amplified by AI: more capable, more confident and more excited than at any point in their careers. The other half feel shaken, less sure of their value and whether there is still a place for them. That divide now shapes how people feel about work more than title, tenure or employer.
The headline numbers moved the wrong way. Significant burnout rose from 44.7% to 55.7% of respondents year on year, while career optimism fell from 54.8% to 48.7%. A year ago the survey summarised the mood as burned out but optimistic. The optimism is now eroding while the burnout compounds.
The most useful finding sits under the headline. Manager effectiveness is the strongest driver of burnout in the entire dataset. Workers with a highly effective manager report roughly 65% higher job enjoyment and dramatically lower burnout than those without one. Same tools, same industry, different leadership, opposite outcomes.
Why it matters
Marketing teams are ground zero for AI adoption pressure. Content, media and analytics roles are being re-tooled in real time, usually with a do more with AI mandate attached and rarely with structured support behind it. If half a team quietly feels replaced, output and retention decay long before anything shows in a dashboard.
For Australian marketing leaders the survey reads as a warning about mandate design. The same rollout lands as amplification or threat depending almost entirely on how the team is managed through it. That is within a leader's control, which makes the burnout number a choice rather than weather.
Tech workers reporting significant burnout in 2026, up from 44.7% a year earlier (annual sentiment survey via Lenny's Newsletter)
What to do about it
The models will keep improving on their own. Whether your team improves with them is a management outcome, and next year's survey will show which leaders understood that.