Gen Z Consumer Behaviour and AI in Shopping

Succeet 2026 revealed how Gen Z’s digital behaviours & everyday use of AI are reshaping the path to purchase, & why market research recruitment needs to keep pace.
LinkedIn

Gen Z Consumer Behaviour and AI in Shopping: What It Means for Market Research

 

Succeet 2026 brought together a wide range of perspectives across the market research industry, from methodology and technology to evolving consumer expectations. Among the sessions, one presentation by Make Opinion stood out for its focus on Gen Z consumer behaviour and the growing role of AI in shopping.

While many of the themes discussed are not entirely new, what stood out was how quickly they are becoming embedded in everyday behaviour — and what that means for how research needs to adapt.

 

A Digital-First Generation with Different Expectations

 

Gen Z expects content that is fast, visual, and frictionless. Platforms like TikTok shape not only what they consume, but how they process information — short-form, mobile-first, and highly contextual.

For market research, this creates a growing disconnect with traditional recruitment approaches. Long-form outreach, email-heavy communication, and static formats are increasingly out of step with how younger respondents engage.

In practice, this means recruitment strategies need to shift toward:

  • •Mobile-first engagement
  • •Platform-native communication styles
  • •Shorter, clearer touchpoints throughout the respondent journey

What’s changing fastest here isn’t just channel preference — it’s attention dynamics. Capturing and maintaining engagement is becoming one of the biggest challenges in respondent recruitment.

 
Gen Z consumer engaging with mobile content on her phone
 

Price Still Matters — But Decision Journeys Are Non-Linear

 

Price remains a key purchase driver, but the path to purchase is no longer linear. Gen Z moves fluidly across platforms — discovering products on social media, validating through peer reviews, and comparing options across multiple touchpoints.

For researchers, this has a direct impact on how we define and recruit “relevant” respondents.

It’s no longer enough to recruit based on stated behaviour alone. The focus needs to shift toward:

  • •Understanding where decisions are actually made
  • •Capturing cross-platform behaviours
  • •Reflecting real purchase journeys, not simplified versions of them

One common gap in research is over-reliance on recall. As journeys become more fragmented, behavioural accuracy becomes harder to capture — making recruitment quality even more critical.

 

AI Is Already Embedded in Everyday Decisions

 

AI is no longer a future consideration — it’s already part of how Gen Z shops. From finding deals to comparing products and filtering options, AI is being used as a practical, everyday tool.

For market research, this raises an important question: Are we accurately identifying and recruiting respondents who reflect this shift?

In many cases, the answer is still evolving. To stay relevant, research approaches need to:

  • •Explicitly identify AI usage in screening criteria
  • •Differentiate between passive awareness and active use
  • •Capture how AI influences — not just supports — decision-making

A key risk for researchers is lagging behind behaviour. If AI adoption is underrepresented in samples, insights will quickly become outdated.

 
Young man smiling while using AI-assisted shopping tools on his phone
 

Trust is Conditional and Built on Transparency

 

While Gen Z is generally open to AI-driven recommendations, trust is not unconditional. Control, transparency, and fairness remain critical.

The main concerns shaping trust include:

  • •Data privacy
  • •Biased or sponsored outputs
  • •Lack of transparency in how recommendations are generated

For fieldwork, this reinforces the importance of:

  • •Clear communication with respondents
  • •Transparent data usage
  • •Strong ethical standards throughout recruitment and participation

Trust is no longer a “nice to have” — it’s a prerequisite for reliable insights.

 

From Innovation to Expectation

 

AI in shopping is quickly moving from a differentiator to a baseline expectation. As this happens, the pace of behavioural change accelerates — and research methodologies need to keep up.

For market research, this creates a structural shift:

  • •From static to adaptive recruitment models
  • •From demographic to behaviour-led sampling
  • •From retrospective to more real-time understanding

Those who fail to adapt risk generating insights that reflect the past rather than the present.

 

What This Means for Market Research (and for Massive Wave Research)

 

Taken together, these trends point to a clear direction: research quality will increasingly depend on how well recruitment reflects real-world behaviour.

At Massive Wave Research, this is shaping how we approach fieldwork and respondent recruitment:

  • •Moving beyond demographics toward behaviour-driven recruitment
  • •Leveraging digital channels that align with how respondents actually engage
  • •Continuously evolving screening criteria to capture emerging behaviours like AI usage
  • •Prioritising data quality and respondent relevance over scale alone

More broadly, the industry is moving toward a model where recruitment is not just an operational step — but a strategic driver of insight quality.

 
Woman shopping online using laptop and phone with delivery parcels nearby

 

Conclusion

 

Succeet 2026 highlighted many important developments, but this session in particular reinforced a key reality: consumer behaviour is evolving faster than many research approaches.

Gen Z’s expectations — digital-first engagement, non-linear decision-making, and AI-assisted behaviour — are not edge cases. They are quickly becoming the norm.

For market research, this creates both a challenge and an opportunity. The challenge is keeping pace. The opportunity is building more accurate, behaviourally grounded insights.

Ultimately, the value of research depends on how well it reflects reality. As that reality shifts, so must the way we recruit, engage, and understand respondents.