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AI in marketing is already part of everyday workflows for the next generation of brand builders. Twenty-six of Ad Age’s 2026 40 Under 40 honorees shared how they deploy AI to move faster, analyse data and spark creative ideas, while also naming limits they will not cross. This roundup appears under Adrianne Pasquarelli’s byline, as first reported by Ad Age on October 20, 2026. The reporting highlights a split: many praise AI for routine work and early-stage ideation, but several warn that overreliance risks eroding critical-thinking and creative craft.
Key takeaways
- Head count and source: Twenty-six rising marketing leaders from Ad Age’s 2026 40 Under 40 contributed examples of AI use and concern.
- Common uses: Honorees report using AI to speed tasks, analyse consumer data and generate creative starting points.
- Named reporter and date: The compilation appears under Adrianne Pasquarelli’s byline and was published October 20, 2026, on Ad Age.
- Influencer context: A featured profile notes Jordan Howlett—known as “Jordan the Stallion”—has nearly 50 million social followers and has applied quick creative iteration to commercial work.
Table of contents
How 26 rising marketing leaders are using AI day to day
Across the responses, AI is presented as a force-multiplier for repetitive and analytic tasks rather than a turnkey creative solution. Several honorees describe using AI to summarise research, surface audience segments and produce first-draft copy or concept sketches that human teams then refine.
That practical, time-saving role shows up in routines: automating data pulls, speeding A/B creative tests and creating multiple concept directions for briefs. The emphasis is on human review — AI supplies starting points and efficiency gains, while experienced marketers keep the final decisions and voice.
The phrase 26 rising marketing leaders recurs in the reporting to mark the sample size and the cohort’s diversity of businesses and roles; the responses are framed as early-career perspectives on how to integrate AI without outsourcing judgment.
Where individuals draw the line and why some feel uneasy
Not every use is accepted. Several contributors stop short of letting AI produce final creative or make strategy calls that require context and ethical judgement. Concern centres on two concrete risks: weakening individual critical-thinking skills and provoking consumer backlash to AI-generated creative.
Those uneasy voices treat AI as a tool for drafts and screening, not as a substitute for human insight. They argue that routine overuse could hollow out the discrete skills — pitching, narrative craft and lateral problem-solving — that distinguish effective marketers.
The reporting names these boundaries without prescribing uniform rules: some honorees allow AI for data synthesis but not for final messaging, others prohibit AI where authenticity is the brand promise. That mix underlines a pragmatic posture toward implementation and oversight.
What surprised the honorees and what it means for teams
Several participants said they were surprised by how quickly AI scaled routine productivity gains, freeing time for higher-level work. That shift is described as an opportunity to reallocate effort toward strategy, partnerships and creative risk that machines cannot replicate.
At the same time, leaders expect to invest in governance: clearer use policies, training to preserve critical skills and human sign-offs on any consumer-facing output. The balance they describe is operational rather than ideological — adopt where it helps, restrict where it undermines craft or trust.
Practical implications for teams include revising job descriptions, adding AI-review steps and monitoring consumer response to AI-assisted creative. These are incremental changes intended to keep human judgement central while benefitting from new tooling.
| Topic | Common practice | Limits named |
|---|---|---|
| Data and analysis | Automated pulls and summaries | Final segmentation and strategic conclusions kept human-led |
| Creative ideation | Multiple first drafts and concept options | Human final creative control and brand voice |
| Consumer-facing content | A/B testing and rapid iteration | Avoid full AI attribution where authenticity matters |
What could move this either way
The case for
- Teams will gain time for strategy as AI handles routine tasks, increasing output efficiency.
- Governance and training programmes are likely to rise, protecting critical-thinking skills while scaling tool use.
The case against
- Widespread shortcutting could erode distinctive creative skills and reduce long-term talent development.
- Poorly governed AI use risks consumer backlash against perceived inauthentic or misleading creative.
What to be careful about
- Erosion of critical-thinking and creative craft if AI handles end-to-end creative production.
- Consumer backlash to AI-generated creative when brands present it as authentic human work.
- Inconsistent governance across teams leading to brand and compliance lapses.
The bottom line
The group of 26 honorees presents a pragmatic middle path: adopt AI where it accelerates routine work and amplifies insight, but maintain human control over strategy, brand voice and final creative choices. That stance implies investment in governance, training and review steps so teams do not trade short-term speed for long-term skill decline. The choices these emerging leaders make now — about which tasks to automate and which to guard — will shape hiring, budgets and brand practices in the years ahead.
What to watch
- Watch for any follow-up interviews from Ad Age expanding which of the 26 honorees are publishing their AI policies; no date has been set.
- Watch for public discussion of AI governance frameworks within marketing teams from the 40 Under 40 community; no date has been set.
Frequently asked questions
Who provided the perspectives in this roundup?
Twenty-six rising marketing leaders from Ad Age’s 2026 40 Under 40 cohort are the source of the perspectives, compiled under Adrianne Pasquarelli’s byline and published October 20, 2026 on Ad Age.
What concrete AI tasks do honorees let tools handle?
Honorees commonly allow AI for summarising research, automating data pulls and producing first-draft copy or multiple concept directions, while reserving final creative decisions for humans.
Why are some honorees uneasy about AI?
Several said they worry AI could weaken critical-thinking and creative craft and provoke consumer backlash when AI-produced work replaces authentic human expression.
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