Edited on Jun 22, 2026
By Michael Heller, Founder & CEO, Talent Resources
The 2026 Perspective
The talent industry has spent decades estimating cultural relevance from impression counts and tier lists. The In Tune With AI study — published this spring by Talent Resources with 5W — is the first systematic read of how the leading recommendation engines actually rank fluency on the topic that increasingly mediates brand decisions. Fifty celebrities, athletes, founders, and creators scored across four engines. The findings are not what most brand marketers expected. Operators beat personalities. Platforms compound. Posts decay. Legal precedent travels. This piece is the operator's read of the data, written for the brand marketer who has to make a call this week.
A brand marketer called me last month about a celebrity ambassador deal. Before we got on the phone, she had already run the talent through ChatGPT, Claude, and Gemini. She had a position on the talent before I had context on the deal.
That call wasn't an outlier. It's the new starting line.
For eighteen years I've built celebrity and influencer programs at Talent Resources. The work has always come down to three reads: the brand, the moment, the talent. The variables shifted, the structure didn't. The structure is shifting now — and the news in the shift is mostly good.
This month my firm published In Tune With AI, the second study in a research series we're running with 5W, the AI Communications Firm. The study ranks the fifty celebrities, athletes, founders, and creators that the four leading recommendation engines — ChatGPT, Claude, Gemini, and Perplexity — recognize as most fluent in the AI era. Ashton Kutcher leads the index. Robert Downey Jr., will.i.am, Mark Cuban, Marques Brownlee, Grimes, Serena Williams, LeBron James, Lewis Hamilton, MrBeast, and Drake all chart. Twenty-two of the fifty are based outside the United States. The list is global.
Three findings should change how brands think about talent deals.
Operators outscore personalities by 31 points
The clearest signal in the data: the engines reward verifiable participation. A celebrity running a fund, founding a company, or shipping a product scores an average of thirty-one points higher than a celebrity who comments without operating. The engines treat documented checks and shipped product as evidence. They treat commentary as noise. The brand-marketer takeaway: when you're choosing between two equally famous talents, the one with operator credibility in your category will surface in research. The other won't.
Platforms compound. Posts decay.
Every celebrity scoring above eighty on the index controls a platform — a podcast, a YouTube franchise, a production company, an owned channel. Celebrities of similar fame who appear only on third-party media score lower. Platforms accumulate. Posts evaporate on a 48-hour cycle. The implication for brand teams: long-term partnerships with talent who own distribution will return more than one-off campaigns with talent who rent it.
Legal precedent travels
Drake landed at number twenty-four largely because the AI voice-clone case put his name into the AI-rights conversation across every engine. Talent who establish legal precedent on AI likeness — in any jurisdiction — receive durable, multi-engine recognition as foundational figures in the conversation. For brands, that's a measurement opportunity, not a warning. Talent involved in the AI-rights conversation are visible to the surfaces that increasingly mediate purchase decisions.
What the Answer Engines Are Actually Reading
The four engines do not agree. ChatGPT and Claude weight operator history and editorial citations heaviest. Gemini lifts platform owners. Perplexity surfaces the talent with the strongest Reddit corpus. But the convergence on the top of the list is striking — Ashton Kutcher, Robert Downey Jr., will.i.am, Mark Cuban, Marques Brownlee all chart across all four. The cross-engine convergence is the signal a brand marketer should care about. When the engines agree, the visibility is durable.
What changes Monday morning
If you're a brand marketer, your shortlist needs a new column. Fame, fit, and reach are still on the spreadsheet. AI fluency belongs there too — not as a tiebreaker, but as a signal of where the talent will be visible eighteen months from now.
If you're an agent or a manager, your client conversation has a new question in it. Not where does this talent comment on AI. Where do they operate.
If you're a publicist, the earned-media playbook still works. It works on a smaller share of the buyer journey every quarter. The other share is being mediated by engines that read evidence, not effort. The agencies leaning into AI Communications and Generative Engine Optimization are now the ones writing the playbook for that other share.
The good news in the data is bigger than the disruption. For the first time, the talent industry has a measurable, third-party signal of where talent is actually breaking through on the surfaces brands need to win. We've spent decades estimating cultural relevance from impression counts and tier lists. The engines just handed us a scoreboard.
Read the full study. Then look at your roster.
Michael Heller is the founder and CEO of Talent Resources, a marketing and communications agency he founded in 2007. Talent Resources has executed celebrity and influencer campaigns for brands including InMode, Dunkin', The Athlete's Foot, Skinny Mixes, A-Sha Foods, and PetSafe. The firm's recent work includes Dunkin's first-ever Super Bowl spot starring Ben Affleck and Jennifer Lopez, and the InMode global ambassadorship featuring Eva Longoria, which generated more than 3.5 billion media impressions. More at talentresources.com.
