Trend The currency of trust
Summary
EY argues that trust is becoming the defining intangible asset of the next economic era. Trust has always mattered, but what is changing is how scarce it is, and scarcity is what raises its value. Accelerating technological disruption, persistent misinformation and fragile institutions are all eroding it. EY places trust after data and attention as the third intangible resource to drive competitive advantage, noting that the pursuit of engagement in the attention economy is itself what depleted trust. It expects organisations that invest in, measure and protect trust deliberately to navigate disruption better and unlock growth their competitors cannot reach.
Classification
Main topicValues & Lifestyles
Region menusGlobal
Impactscope:global
Time horizon4-10 years (2026-07-25)
Published2026
Last updated2026-09-30 12:56 KST
Evidence 1
- Futures Reimagined: EY Megatrends 2026 and beyond EY (Ernst & Young Global Limited) page=50;section=Megatrend 7: The currency of trust 2026 accessed 2026-07-25
Observed signals 5
- SignalA 26-point trust gap between the technology industry and AI
- SignalCompanies lose 30% of value in a trust breach; trust outranks price for consumers
- SignalConsumers twice as concerned about AI security breaches as executives
- SignalTechnology's most-trusted-sector status falls from 90% to 50% of countries
- SignalTraining data doubling every six months at the cost of quality control
Part of issues 7
- IssueData, attention and now trust as successive intangible resources1 trends · 0 signals
- IssueGovernment: trust sustained by process, not delivery alone1 trends · 0 signals
- IssueHealth: misinformation, breaches and shifting clinical authority1 trends · 0 signals
- IssueInfrastructure: where citizens experience state capacity directly1 trends · 0 signals
- IssueInstitutional trust is falling and historically hard to rebuild1 trends · 0 signals
- IssueInsurance: personalisation raises the trust threshold1 trends · 0 signals
- IssueSocial trust eroded by engagement optimisation, with AI to follow1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-f402a920df45
