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Signal and Noise

AI in Romania: The New Interface Between Consumer and Brand

AI is no longer just a tool for finding information. It is becoming part of how consumers discover, evaluate and choose. This study explores how Romanians use AI, how it influences purchasing decisions, how much autonomy they are willing to give it, and how they respond when brands use AI.

✓ 15+ years in research

✓ Qual, Quant & Neuroscience

✓ In-Lab & Remote capabilities

✓ ESOMAR-aligned standards

Study at a glance

1,009 participants

Online survey

204 participants

Behavioral study (eye-tracking and facial coding)

4 industries tested

E-commerce & technology, FMCG, banking, healthcare

Between-subject design

With AI disclosure vs. without AI disclosure

Methods used

Survey

Eye-tracking

Facial-coding

The signal

The role of AI is not to decide for consumers, but to help them navigate complexity,  filtering information, narrowing choices and making decisions easier while preserving consumer autonomy.

What researchers found

  • 01

    AI is already part of the consumer journey

    83% of Romanians used AI in the past 12 months, and 39% have already purchased a product based on an AI recommendation.

  • 02

    Consumers want AI to assist, not replace their decisions

    Across the 25 activities tested (in 4 different industries), acceptance depends strongly on the role AI plays. Consumers are more open to AI that helps them than to AI that evaluates or decides for them.

  • 03

    AI can reduce choice overload

    Consumers show strong interest in using AI to identify relevant products, compare alternatives and simplify complex choices, suggesting that its value may lie as much in filtering and narrowing options as in automation itself.

  • 04

    AI is becoming a new interface for search and discovery

    84% of AI users consider AI tools more efficient than traditional search for finding information, while 39% have already bought something based on an AI recommendation.

  • 05

    Transparency can trigger attention rather than rejection

    The behavioural study found that AI disclosure did not generally reduce declared interest or trust. In some contexts, however, consumers examined AI-generated recommendations or interpretations more intensively, suggesting a more active evaluation of the information.

Business translation

01. Put consumer needs first

Map the customer journey and identify where AI can reduce effort, time or uncertainty.

02. Choose the right role for AI

Use AI as an assistant, copilot or safeguard, particularly when consumers are making decisions with personal consequences.

03. Automate complexity before transactions

Prioritize AI for filtering, comparing and narrowing down choices before moving toward fully autonomous purchasing.

04. Build visibility beyond traditional search

Monitor how your brand appears in AI-generated answers, whether it is mentioned, recommended or compared, and which attributes are associated with it.

05. Make AI verifiable

Invest in accuracy, controlled data sources, explanations and verification mechanisms. For high-stakes information, provide a clear path to human support.

06. Build trust through experience

Give consumers opportunities to experience AI in lower-risk contexts and gradually build confidence before asking them to delegate more actions to AI.

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