For Populix, another significant advantage of AI is its central role in helping researchers shift their mindset from executing every task manually to orchestrating and validating AI-generated outputs. It elevates their role – instead of spending time on repetitive tasks, they can now focus on framing smarter questions, evaluating AI-generated insights, and drawing meaningful conclusions. 

To further enhance this, the company is prioritizing upskilling of researchers in three key areas:

• Prompt engineering – enabling them to ask better questions and guide the AI effectively throughout the research workflow.
• AI literacy – giving them a better understanding of the capabilities and boundaries of generative models, especially in terms of bias and hallucination.
• Human-in-the-loop thinking – helping them become strategic reviewers and insight curators, rather than just data processors.

Ultimately, the goal is to empower researchers to do higher-value work, faster, and with greater impact through AI.

Another example of how Populix is using Google Cloud to enhance research is the NeXa AI Research Assistant. Built using the platform's Vertex AI and Natural Language API, it leverages Gemini to help users articulate research problems, automatically create surveys, and assist in choosing targeted respondents and launching surveys. Populix is now transitioning much of its software into more AI generative software, with Gemini being the long-term foundational model powering all its AI features.