Expert Advice for Marketing Leaders on MarTech, AI, & CX
From generation to execution. Learn how Agentic AI creates autonomous workflows that scale your marketing and transform customer interactions.
The Smarter Sorting study, Product Truth in the Age of Agentic Commerce: A Multi-Platform Evaluation of AI Shopping Systems’ Accuracy, Completeness, and Regulatory Reliability (2025), exposes persistent challenges in delivering “product truth”—a SKU-level representation that is accurate, complete, and regulatory-aligned.
If you don’t own evaluation, you don’t own outcomes. You own activity,
which looks great right up until it doesn’t. Vendor dashboards and “model
quality” metrics are not the same thing as operational performance across
real workflows.
As we enter 2026, we find that, while traditional gifting remains important, how we shop for love has changed, and it says as much about our emotional intelligence as it does our need for convenience.
For many enterprise marketing leaders, the reality on the ground feels less like a revolution and more like a series of expensive science fairs. Ambitious projects, meant to redefine the customer experience, often stall out in the pilot phase, never to see the light of day. The graveyard of promising AI proofs-of-concept is getting crowded, and the return on investment remains stubbornly elusive.
Agentic AI in marketing is not about “more content with fewer people,” but about how fast you can respond, how relevant you can be, and how safely you can operate across your most important domains. The meaningful frame for executives is simple: focus on a small, governed portfolio of agentic use cases that clearly move speed, personalization, and control, not on a long list of tools and pilots.
The difference between tools that assist and systems that actually execute work
This article was written by Greg Kihlström for MarTech. Agentic AI is
intermediating the consumer-brand relationship, changing how products are discovered, evaluated and purchased.
As we enter 2026, the omnipresence of artificial intelligence will continue to transform it from a cutting-edge advantage into a mere operational baseline. As every competitor integrates the same autonomous agents, generative tools, and optimization engines, the race for the “fastest algorithm” will become irrelevant. Industry leaders agree: the brands poised to win in this saturated environment will bypass the technology arms race entirely.
The core prediction is this: the “new brand currency” will be nothing less than unvarnished authenticity. This shift mandates a re-evaluation of human capital, where employees must evolve from task executors into sophisticated managers of digital agents, and where emotional intelligence is set to transition from a soft skill to a hard, quantifiable metric for enterprise success and competitive advantage.
In enterprise marketing, we live with a peculiar paradox. We are tasked with driving innovation, creating seamless customer journeys, and responding to market shifts with a nimbleness that borders on clairvoyance. Yet, we are often tethered to technology stacks that resemble a geological cross-section, with layers of legacy systems, undocumented processes, and business logic locked away in digital vaults no one has the key for. The brightest marketing strategies can, and often do, grind to a halt against the unyielding wall of technical debt.
