Why it matters

The problem, in numbers

These figures come from published research on work, AI and mental health. They describe the problem Custodian addresses, not results Custodian has produced. Our own measured results are on the How it works page.

AI at work

Adoption runs ahead of measurement

14% of workers report "AI brain fry" Mental fatigue from heavy AI use. Harvard Business Review, 2026
40% of AI productivity gains missed Companies miss up to 40% of the productivity AI could give them, through gaps in talent strategy and wellbeing. EY, 2025
22% of companies monitor how employees use AI While 64% of employees report a heavier workload since it arrived. HR Dive
Psychological safety

Leaders say it drives AI results, and few have it

83% of leaders say psychological safety improves AI results Infosys, 2025
39% rate it "very high" in their own organisation Infosys, 2025
$438B lost productivity, yearly, worldwide From falling employee engagement. Gallup, State of the Global Workplace
The cost of inaction

What goes unmeasured shows up later, as burnout and turnover

35% lower cognitive performance Depression alone reduces cognitive performance by about 35%. WHO, Mental health at work
27 working days lost each year By an employee with severe depressive symptoms. WHO, Mental health at work
$21K yearly cost of burnout Estimated, per employee. Stacker
50–200% of annual salary The cost of replacing an employee who leaves. CUNY SPH, 2025

Measure it before it costs you

Custodian starts with one team and shows you what the signals look like on your own conversations.