Saving time is not the goal of AI. Spending it on something better is.
The distinction is at the heart of what Sandy Carter will bring to MAICON 2026. Time saved, she argues, is “a currency that expires if you never spend it.”
At MAICON 2026, Carter will deliver a session titled From Notebook and Hermes to Agentic Marketing ROI, a direct, practical look at how marketing leaders can move past pilots.
Carter is the bestselling author of “AI First, Human Always,” a former executive at AWS and IBM, and the CEO of a privacy-first AI company.
The Measurement Problem Nobody Wants to Admit
Carter’s starting point for marketing leaders who are still getting their arms around generative AI is simple: measure something before you automate anything.
“Half the companies already running AI in production cannot measure its ROI,” she says. “Think about that. They did the hard part, the deployment, and skipped the easy part, the before-and-after.”
Teams deploy AI, believe it is working, and then spend the next quarterly review arguing about whether anything actually improved, with no baseline to settle the argument.
“Your baseline only exists if you capture it now,” she says. “Pick one workflow you run every week, write down what it costs today in hours or dollars, define ‘better’ as a number, and name the person who signs off. If you cannot do those three things, you are not running a pilot. You are running a demo.”
The Mistakes Teams Make When They Try to Prove Value
Carter has a clear diagnosis of why so many AI pilots fail to survive budget reviews, even when the technology is working.
- The first mistake: treating saved hours as a result. “Teams tell me they saved 200 hours, and my question is always the same: What did those 200 hours become? A campaign that shipped? Pipeline? Headcount you redeployed? If the answer is nothing you can point to, you did not create value…”
- The second: letting every function invent its own scorecard. As AI ownership shifts to line-of-business leaders, Carter sees organizations where the CFO receives six different definitions of success from six different teams with no way to rank them. Someone has to own one standard.
- The third: running too many pilots with no named owners. “Twelve pilots and zero decisions is not a portfolio,” she says.
What Changes When the Buyer Is an Agent
Carter will also address one of the most consequential shifts coming for marketing teams: the moment when the buyer on the other side of the funnel is not a human.
Agents are already researching vendors, comparing options, and building shortlists before a human enters. And they do not experience brands the way humans do.
“An agent does not feel your brand,” Carter says. “It does not watch your video, laugh at your hook, or remember your booth. It reads your pricing page, your documentation, your reviews, your structured data, and it decides whether you make the shortlist a human sees.”
No longer is marketing simply felt; now it must be optimized for non-human agents.
“The brands that win the next cycle will be legible to machines and lovable to humans,” Carter says. “If your marketing cannot survive being read without being felt, you are about to become invisible to your fastest-growing buyer.”
What MAICON Attendees Will Leave With
Carter’s session is designed for marketing and business leaders who are past the experimentation stage and facing the harder question: How do you make AI investment defensible?
Attendees will come away with a framework for establishing baselines before deployment, a real-world model of how agentic AI works in practice and where human judgment remains irreplaceable, and a clear-eyed view of the proof structures that keep AI initiatives funded.
Join Us at MAICON 2026
Sandy Carter will present as part of a group of speakers focused on applied AI.
Follow Sandy before MAICON 2026:
If you are responsible for AI adoption, governance, or proving the value of marketing AI investments inside your organization, this session is for you.
Join us to hear from Carter and 50+ AI and business leaders. Register today.
