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The research library
The evidence behind the work
7 reports · 28 verified figures
01
Read at source ↗ (opens in a new window)State of the Global Workplace: The Human Side of the AI Revolution
Gallup · 2026
- 22%
- of managers are engaged, down from 27% a year earlier and now barely above the people they lead
- p8 · The middle layer
- 9 points
- is how far manager engagement has fallen since 2022, most of the recent global downturn
- p8 · The middle layer
- 20%
- of the world's employees are engaged at work, down from a 2022 peak of 23%
- p6 · Ways of working and decisions
- $10 trillion
- was the cost of low engagement to the world economy last year, or 9% of GDP
- p6 · Ways of working and decisions
- 45%
- of managers report a lot of daily stress, against 39% of individual contributors
- p20 · Capacity and time
- 12%
- of European employees are engaged, the lowest of any region in the world
- p37 · Connection and belonging
- +10 points
- more loneliness is reported by leaders than by the people they lead
- p15 · Connection and belonging
Handle with care. UK country data (p149) is chart-only with no extractable numbers, so never attribute a UK figure to this report. The 98.7x manager-support multipliers on p9 are US-only single-question likelihood ratios; true, but they read as absurd on a webpage.
02
Read at source ↗ (opens in a new window)2026 Work Trend Index Annual Report
Microsoft WorkLab · 2026
- 67% vs 32%
- organisational factors beat individual mindset two to one in predicting whether AI actually delivers
- p17 · AI in reality
- 66%
- of AI users say it has let them spend more time on high-value work
- p8 · AI in reality
- 26%
- of AI users say their leadership is clearly and consistently aligned on AI
- p13 · Trust
- 13%
- of AI users say they are rewarded for reinventing how work gets done when results do not come immediately
- p13 · Ways of working and decisions
- 85% vs 64%
- of the most advanced AI users say their manager openly uses AI, against everyone else
- p13 · The middle layer
Handle with care. The sample is AI users only; people who answered "never" were screened out (p23). Every "% of AI users" figure is NOT "% of workers" and this audience will catch that. The p13 readiness-zone percentages contradict the p12 chart and p23 methodology and do not sum to 100 — use 19/10/50/16/5.
03
Read at source ↗ (opens in a new window)2026 Global Human Capital Trends
Deloitte with Oxford Economics · 2026
- 88% vs 7%
- of leaders say orchestrating people and resources faster is critical, and say they are making great progress. The largest say-do gap in the survey
- p42 · Ways of working and decisions
- 80%
- of leaders, managers and workers worry colleagues are using AI to look more productive than they are
- p33 · Trust
- 11%
- of managers strongly agree they get the data and tools to decide how work is distributed
- p44 · The middle layer
- 68%
- of workers say the constant cadence of change has decreased their wellbeing
- p59 · Capacity and time
- 27%
- believe their organisation manages change effectively
- p57 · Communication
- 72%
- say purpose and belonging are the parts of their culture most worth preserving
- p35 · Connection and belonging
Handle with care. Page numbers are PDF pages; printed numbers run two lower. This report mixes at least three populations (3,000+ leaders, a separate 6,000 worker survey, and external citations) and switches without warning. Always say "of leaders" vs "of workers". The p35 culture figure is a 2025 Gallup poll and the trust decline is Edelman — both cited, not measured.
04
Read at source ↗ (opens in a new window)Shifting Expectations: Work in the Age of Change
theSHIFT, fielded by Opinium · 2026
- 18% vs 35%
- of non-managers rate change communication as very good, against managers
- p24 · Communication
- 39%
- of managers say they get no clear direction from leaders about the changes they must pass on
- p11 · The middle layer
- 53% vs 73%
- of non-managers feel comfortable sharing unpopular opinions, against managers
- p24 · Trust
- 23%
- of managers took the role because they actually wanted to manage people
- p21 · The middle layer
- 48%
- of managers say junior people are missing key developmental experiences because AI now does those tasks
- p6 · AI in reality
Handle with care. Sample is 2,000 via an Opinium omnibus with no stated country, no fieldwork dates and no published demographics, so never describe it as UK or nationally representative. Skip p16 entirely: it conflates percentages with rankings.
05
Read at source ↗ (opens in a new window)The Decisiveness Crisis
Uncertainty Experts · 2026
- 72%
- of managers would rather look decisive and get it wrong than look uncertain and get it right
- p22 · The middle layer
- 46.9%
- of C-suite executives make that same choice, the lowest of any level measured
- p22 · The middle layer
Handle with care. Quote the percentages, never the sample size. It claims 3,159 professionals but its own cohorts sum to 1,159 (p62, p63), and the organisation count changes three times across the paper. The C-suite figure rests on roughly 49 people. Its "£20bn cost to the UK economy" is derived, not measured — do not use it.
06
Read at source ↗ (opens in a new window)2026 Global AI Jobs Barometer
PwC · 2026
- 52%
- of the new skills demanded of AI-exposed entry-level jobs are senior capabilities, against 7% for the least exposed
- p3 · The middle layer
- 49%
- of CEOs expect AI adoption to cut junior hiring within three years, against 12% for senior hiring
- p11 · AI in reality
- 62%
- is the wage premium now paid to workers with AI skills, up from 57% last year
- p22 · AI in reality
Handle with care. Job-advert and company-accounts data, not a people survey, so it says nothing about how work feels. The CEO figures come from PwC's separate Global CEO Survey — cite them as that.
07
Read at source ↗ (opens in a new window)Bridging the Connection Gap
Inspiring Change · 2026
No figures used from this source.
Handle with care. Not a data source. Thirty pages, zero statistics, anonymous qualitative interviews with senior people leaders in Ireland with no stated method. Excellent for verbatim quotes if attributed as one leader's words. Never present anything from it as a finding.
Do not quote
Claims that did not survive checking
These were checked against the source and failed. They go in front of people who know these reports, so they never go on a public page.
01
“£51bn cost of poor mental health to UK employers”
Not in this library. It is a Deloitte UK Mental Health and Employers figure and that report is not in the folder.
02
“£4.70 returned for every £1 invested in wellbeing”
Same. No per-pound wellbeing return appears anywhere in these reports.
03
“Engagement is at a record low”
Gallup p6 disproves it. Engagement is eight points higher than its 2009 first measurement. Say "lowest since 2020" instead.
04
“The Decisiveness Crisis surveyed 3,159 professionals”
Its own cohort numbers sum to 1,159 (p62, p63). Use the percentages, never the sample size.
05
“Poor decision-making costs the UK £20bn”
Derived from a CMI figure times an assumption, with an admitted range of £12.6bn to £25.2bn. Cite CMI directly if you want the underlying number.
Known gaps
What this library cannot tell you
Worth knowing before you quote it. If we want to say something here, we need a new source.
01
Nothing here measures trust, psychological safety or what happens when something breaks.
02
Nothing measures generations directly. Deloitte 2026 has zero mentions of Gen Z or age.
03
No UK-specific figures are safely extractable. Gallup's UK data is chart-only.
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