August 2025 ARVIC

The August 2025 ARVIC conference brought together researchers across career stages and specializations to examine where the market research industry has been and where it is heading. Through candid, experience-driven conversation, the session tackled the practical realities of building a research career, maintaining strong client relationships, and navigating the growing influence of AI on the craft.

Career Paths and Professional Development

A central thread of the conference was how researchers build adaptability and credibility over time. Early agency-side experience was highlighted as especially valuable, exposing researchers to a wide range of industries, methodologies, and problem types that in-house roles often cannot match. At the same time, in-house positions carry their own risks, including distance from senior decision makers and pressure to confirm what leadership already believes rather than surface uncomfortable truths.

• Agency work early in a career builds the methodological range that makes researchers more effective across contexts.
• In-house researchers should be aware of organizational dynamics that can compromise objectivity.
• Authenticity and self-awareness matter more than credentials when entering the field, particularly in qualitative research where genuine human voice is essential.

Client Relationships and Research Design

Strong client relationships were framed as operating on two distinct levels: strategic business-challenge conversations with senior stakeholders and methodology conversations with in-house research staff. A practical technique for improving research quality before a study even launches is asking the client what they will do with the findings, which quickly surfaces whether the research question is actually tied to a real decision.

Asking the client what they will do with the findings before the study launches often surfaces whether the question will actually drive a decision.

AI's Role in Research: Opportunity and Limits

The conference addressed AI with nuance rather than hype. Tools like Notebook LM were recognized as genuine opportunities to democratize research access for budget-constrained clients. However, the synthesis, contextual judgment, and human relationships at the core of strong research work were seen as difficult to replicate with AI. A pointed caution was raised for job seekers: relying on AI-generated portfolios or resumes undermines the authentic voice that the industry, and qualitative work in particular, depends on.

• AI can lower the cost barrier for clients with limited budgets.
• Human judgment and relationship-building remain the irreplaceable core of research work.
• Researchers entering the field should present their own voice, especially in qualitative contexts, rather than defaulting to AI-generated materials.