The Edelman Trust Barometer released its 2026 edition at Davos in January, and the data has now had several months to settle into communications planning. The findings are worth a mid-year revisit because the implications for communications strategy through the rest of 2026 and into 2027 are significant, and the early reactions to the report have evolved as practitioners have spent more time with the data.
The honest read is that the 2026 data confirms several trends that have been building for years and complicates several others.
What the report continued to document
Several findings that have been consistent across multiple recent editions.
Trust in business remains higher than trust in government and media. This pattern has held for most of the last decade. Business is the most-trusted institution in the Edelman framework in many markets, with government, media, and NGOs trailing. The lead has narrowed in some recent editions but the directional finding has been stable.
Employer trust is high relative to other institutional trust. Workers consistently report high trust in their direct employer, often substantially higher than trust in business in general. This finding underpins much of the recent emphasis on employer brand and internal communications work.
Trust in CEOs and business leaders has been more volatile. Public expectations of CEO behavior have shifted multiple times over recent editions. The 2026 data continues this volatility rather than resolving it.
Trust by income tier has diverged. Higher-income respondents and lower-income respondents continue to show different trust patterns across institutions, with the gap meaningful enough that aggregate national numbers can mask important within-country variation.
What the report complicated
Several findings warrant more careful interpretation than the headline numbers convey.
Aggregate trust numbers mask substantial within-country variation. The headline findings about a country's trust in business may differ substantially across regions, demographic segments, and political alignments within that country. Communications strategy that responds to national averages without considering segment variation may not serve all stakeholders equally.
Year-over-year changes are sometimes within sampling variability. Single-edition movements should be read against multi-edition trends rather than treated as definitive shifts.
The report measures attitudes, not behavior. Stated trust does not always translate directly to purchase behavior, employment decisions, or political action. The data informs communications strategy without prescribing it.
Six months in
The 2026 data has reinforced an emerging consensus among communications leaders. Trust is operating capital, internal alignment is foundational, CEO engagement requires careful calibration rather than reflexive default, and the information environment itself is something brands have stake in maintaining. These are not new insights but they are increasingly resourced and prioritized in ways they were not five years ago.
The communications functions adapting to these findings are doing more interesting and more useful work than the ones still operating on older assumptions. Mid-year is a reasonable moment to assess whether the function's posture has caught up with the data or is still working from earlier frameworks.
The Citation Share dimension
The Trust Barometer is also the single highest-leverage citation asset in the global PR industry. Per EPR's Reputation Management AI Citation Share Study, Edelman holds the highest modeled Citation Share among reputation-and-strategic-communications firms — anchored substantially by the Trust Barometer's annual cadence, the Davos launch ritual, and the decades of editorial heritage that compound around an annual data anchor. The lesson the rest of the category has been slow to internalize: one annual data anchor compounds AI Citation Share faster than any other content investment.
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
