On Publicis Groupe's Q3 earnings call, CEO Arthur Sadoun described the artificial intelligence opportunity as a "two-speed boat." Consumer agentic AI is spreading quickly and pushing clients to adapt their marketing fast. Enterprise-wide AI transformation is a far slower sell.
The fast lane: responding to consumer agentic AI
As consumers turn to AI agents to research and buy, brands are moving quickly to protect market share. For agencies, that translates into near-term work.
The slow lane: enterprise AI transformation
"When it comes to enterprise, [clients] realize that it's a longer process, that it's a lot of change management, that it's very costly at a moment where there is a lot of macro uncertainty. So by definition, it is slower," Sadoun said.
Sapient: lagging revenue, critical to new business
That tension shows up in Sapient, Publicis' transformation and technology consulting division.
- Sapient represents 13% of Publicis' total revenue.
- It improved sequentially in Q3 with positive U.S. growth but was still down in the low single digits globally.
- Sadoun called Sapient "instrumental" in winning two major accounts this year without a traditional pitch. He didn't name them, but Publicis recently won PepsiCo's global media duties that way.
Publicis Q3 by the numbers
- Net revenue organic growth: 5% YoY, to roughly 4.61 billion euros (about $5.16 billion)
- Q4 organic growth guidance: 4.5% to 5%
- Sapient expected to return to growth this quarter
A consolidated agency landscape
Omnicom's acquisition of Interpublic Group shrank Publicis' competitive field by a quarter, leaving three major global networks. "While our competitors are reducing headcount and scaling back investments, we are pursuing a polar opposite strategy," Sadoun said, citing investment in teams, data and technology.
Fewer networks also means more client conflicts. Ad Age reported that winning PepsiCo has jeopardized Publicis' relationship with The Coca-Cola Company, where it handles North American media and data. Sadoun argued that transparency and firewalls around people, capabilities and geographies make such conflicts manageable.
Takeaways for marketers: split your AI agenda by speed
- Move fast on visibility. Audit how your brand shows up in AI search and agent experiences, and fix content and product data now.
- Plan the slow work separately. Company-wide AI transformation needs change management and budget; treat it as a multi-year program.
- Ask about conflicts. With fewer holding companies, confirm how an agency separates teams and data if it also serves a competitor.
For a lean in-house model, see How Liquid Death Is Building an AI-Native Marketing Organization. For an agency-built tool, read Building an In-House AI Platform at an Ad Agency.