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Canva's AI trust survey needs audience-and-channel-specific decision tests

Canva's 2026 marketing and AI report places high daily use and planned spending by marketing leaders beside consumer preferences for human-made advertising, personalization control, and formal company AI policies. Those survey responses do not identify what a brand's own audience will trust in a specific channel or campaign. The CMO should preserve the separate populations, questions, markets, and limitations, then test the intended creative and data practice with the audience whose response matters.

By CMO AI Signal Research DeskSource-backed analysis

Answer capsule

Canva's 2026 marketing and AI report places high daily use and planned spending by marketing leaders beside consumer preferences for human-made advertising, personalization control, and formal company AI policies. Those survey responses do not identify what a brand's own audience will trust in a specific channel or campaign. The CMO should preserve the separate populations, questions, markets, and limitations, then test the intended creative and data practice with the audience whose response matters.

What the source establishes

  • Canva says its third annual report was conducted with Harris Poll and surveyed 1,415 marketing leaders and 3,547 consumers across seven named countries.
  • The report says 97% of surveyed marketing leaders use AI daily in creative work and 99% plan to increase AI spending in 2026.
  • Canva reports that 78% of surveyed consumers prefer human-made advertisements and 80% want more control over how brands personalize content.
  • The provider-commissioned survey does not establish causal effects, a specific brand audience's preferences, campaign performance, or the truthfulness and acceptability of any creative execution.

Keep the two survey populations separate

Record the marketing-leader and consumer samples, countries, field dates where disclosed, question wording, response choices, weighting, subgroup size, sponsor, research partner, and exact statistic before using a finding. Do not combine marketers' tool use with consumers' stated preferences into a single maturity or trust score. A global percentage can hide country, age, channel, category, purchase-stage, accessibility, or prior-experience differences. Preserve nonresponse and unknowns, and label every number as a reported survey response rather than observed behavior or a measured brand outcome.

Translate a finding into a bounded marketing question

Name the brand, audience segment, market, channel, product, objective, creative format, AI contribution, personalization input, disclosure, and decision the evidence might inform. A preference for human-made advertising does not decide whether AI may assist research, production, translation, versioning, media operations, or customer service. Likewise, stated comfort with helpful relevance does not authorize sensitive inference or opaque prediction. Marketing should frame the smallest testable question and route privacy, legal, accessibility, research, and brand issues to their accountable owners.

Test the complete audience experience

Evaluate the actual creative, placement, targeting logic, frequency, landing experience, data notice, preference control, and service response together. Use a representative audience and predefined comprehension, trust, usefulness, intrusion, correction, opt-out, accessibility, brand-lift, and adverse-response measures. Compare meaningful alternatives, retain negative and null results, and inspect subgroup effects instead of one blended average. A click or conversion lift cannot by itself establish trust, informed choice, appropriate personalization, creative quality, or durable brand value.

Govern spend and policy as separate claims

Tie increased AI budget to named jobs, owners, baseline costs, evidence requirements, brand safeguards, rights, review capacity, and stop conditions. Maintain a public-facing and internal policy record that matches actual creative and data practices, but do not treat the existence of a policy as proof of compliance or trustworthy execution. Track corrections, complaints, opt-outs, suppressed segments, creative rejections, provenance gaps, partner changes, and measured audience effects. Reopen the decision when the model, data, offer, channel, market, audience, policy, or campaign purpose changes.

Turn this source into a reviewable decision

For AI for CMOs, use this briefing as a dated decision record rather than a substitute for the source. Preserve Canva State of Marketing & AI Report 2026, the exact URL, the September 1, 2026 review date, the supported facts above, the editorial interpretation, the limitations, and any buyer-specific evidence. Link that record to the decisions most directly affected: Audience and market insight; Creative development and production; Measurement and performance explanation; Brand, disclosure, and synthetic-media risk. State whether the source changes the scope, evidence requirement, control, sequence, or only the language used to describe the decision.

Before action, name the accountable owner, affected population and workflow, exact offering or configuration, source data and rights, human decision point, exception and appeal path, complete cost, expected benefit, failure and stop conditions, retained evidence, and next review date. Keep official facts, provider statements, buyer observations, representative tests, measured outcomes, editorial inferences, and unknowns visibly separate. Reopen the record when the source, offer, model, integration, data, policy, population, responsible person, or measured result changes.

Limitations and unknowns

Canva is the commissioning provider and publisher. Its current report page attributes the survey to Harris Poll, states the respondent populations and countries, and reports marketing-leader use and spending intentions plus consumer preferences about AI-created advertising, prediction, personalization, and company policy. The page does not independently establish the full questionnaire and methods, subgroup precision, respondent behavior, a buyer's audience, creative quality, targeting appropriateness, disclosure comprehension, brand trust, campaign lift, causality, or business outcome. Current underlying research materials, audience and channel records, representative creative and personalization tests, preference and complaint evidence, and qualified marketing, brand, consumer research, analytics, media, creative, accessibility, privacy, regulatory, procurement, finance, and legal review control.

Decision test

Ask whether the source changes the decision itself, the evidence required, the implementation sequence, or only the language used to describe an existing capability. Record which claims are directly supported, which are provider statements, which require an independent test, and which remain unknown. A source-linked review should make uncertainty easier to see, not bury it inside a blended score.

Questions to take into review

  • Which people and channels are represented?
  • Can each insight be traced to evidence?
  • What training, input, and output rights apply?
  • Which review gates cover claims and brand expression?
  • Which metric definition and source are authoritative?
  • What is observed versus modeled?
  • Can the asset's origin and edits be reconstructed?
  • Which disclosures apply by market and context?
The publication supports research and executive decision preparation. It does not provide legal, financial, accounting, employment, clinical, cybersecurity, investment, procurement, or implementation advice.