Human-AI dyads reshape commercial decision-making with Meta’s Muse and OpenAI’s Dots

Persistent agents turn one-off interactions into ongoing dialogues

Muse is framed for everyday life, capable of browsing and using applications on behalf of the user. Dots is positioned for work, with its own computing environment that can continue research even when the user’s computer is off. Both agents therefore shift the decision-making process from isolated moments to a series of exchanges that accumulate context over time.

Brands must become agents’ first-class partners

According to the Capgemini analysis, a brand’s relevance now depends on three capabilities: discoverability by the agent, verifiable information that influences the choice (such as compatibility, stock levels or return conditions), and the ability to execute an authorized transaction within a clear framework. The report notes that “the agent must be able to find it and represent it accurately” and that “the brand must then make it possible to verify the information that genuinely determines the choice.” This implies that existing commerce platforms may need to be stitched together, with data quality and operational controls governing the end-to-end journey.

The dyad’s hidden filter threatens consumer choice

While the agents expand the set of options a user can consider, the research warns that they also curate which options are presented. The final decision remains with the human, but the user may never see the alternatives that were omitted. Capgemini stresses that a “useful relationship must therefore leave us room to reconsider our own habits, ask why an option is missing, change a criterion, ask the agent to forget a preference, or choose differently.” For brands, this translates into a need to protect discovery pathways and avoid over-optimizing for past purchase patterns.

Practical illustration: a family cycling trip

The paper uses a scenario of a father planning a three-day cycling trip with his daughter. The purchase decision emerges through a back-and-forth dialogue, not from a static profile. The example underscores that understanding a sale now requires insight into the sequence of delegations, the moments the user re-takes control, and the brand’s ability to surface at the right point in the conversation.

Our read: Capgemini’s framing of the human-AI dyad spotlights a structural shift in commerce that will force brands to redesign visibility, verification and transaction layers for persistent agents. The emphasis on agency transparency and consumer autonomy offers a pragmatic counterweight to the hype surrounding “always-on” AI assistants.