AI adoption is accelerating faster than strategy, and organizational readiness. MarTech Futurist – March 23, 2026
The latest from Forrester and HBR converges on a single uncomfortable truth for marketing leaders: AI adoption is accelerating faster than strategy, and organizational readiness can keep pace. Four distinct but interconnected tensions are emerging that demand C-level attention right now.
1. The CX Function Is at an Existential Inflection Point. Forrester’s Martin Gill delivers a blunt assessment: Customer Experience (CX) teams are losing strategic relevance because they have become inward-looking — perfecting frameworks while AI commoditizes their core deliverables. Journey maps, persona design, and sentiment analysis are now available through low-cost tools. Meanwhile, agentic AI systems are becoming the customer, rendering human-centric CX architectures obsolete.
2. Agentic AI Is Reshaping Commerce — But the Real ROI Is Behind the Scenes. Forrester’s retail analysis cuts through the hype: the most significant AI transformation in retail is not happening in consumer-facing experiences — it is in back-office operations. Marketing email generation, onsite search, creative asset building, and trend forecasting are where agentic AI is delivering measurable returns.
3. AI Superusers Are Creating a Widening Talent Gap. HBR’s eight-month study of 2,500 KPMG employees identifies a growing divide between AI superusers and average adopters. Marketing teams that fail to identify and develop AI superusers will fall behind not just in productivity, but in the quality of strategic output.
CX Is Not Dead — Yet
Source: Forrester Blog (https://www.forrester.com/blogs/cx-isnt-dead-yet/ ) | March 18, 2026 | Martin Gill, VP Principal Analyst
Forrester’s Martin Gill argues that while CX remains a critical business driver, the CX profession is undermining its own relevance by focusing on internal frameworks rather than delivering measurable business change. Three forces are accelerating the crisis: AI is commoditizing core CX activities; agentic systems are becoming the customer, making human-centric CX architectures obsolete; and the NPS measurement model is collapsing without a trusted successor. Gill’s prescription: CX teams must shift from insight as a deliverable to insight as operating context for executive decisions, design for both human and machine customers, and replace NPS with predictive leading indicators.
This is a must-read for any CMO who still has a dedicated CX team reporting to them. If your CX function is still producing journey maps and NPS reports as its primary output, it is already being disrupted. The forward-looking CMO needs to reposition CX as a strategic intelligence function that connects customer reality to capital allocation decisions. The agentic customer point is particularly urgent: brands need machine-readable experience architectures now, not in three years.
Word on the Retail Street: What to Watch in 2026
Source: Forrester Blog (https://www.forrester.com/blogs/word-on-the-retail-street-what-to-watch-in-2026/ ) | March 19, 2026 | Sucharita Kodali, VP Principal Analyst
Forrester’s retail analyst Sucharita Kodali delivers a sobering assessment of the 2026 retail landscape: consumer sentiment is worse than March 2020 due to global conflict, tariffs, and AI-driven job anxiety; traditional Google search is being disrupted by generative AI tools and social platforms for product discovery; and the most impactful agentic AI deployments are back-office-facing — marketing email generation, onsite search, creative asset building, QA, and trend forecasting. Her conclusion: resist FOMO, wait for clarity on which new formats shoppers actually use, and invest in operational AI over flashy consumer-facing experiments.
Kodali’s back-office AI insight is the most actionable takeaway for marketing operations leaders. The temptation to deploy consumer-facing AI agents is strong, but the evidence points to operational AI as the near-term ROI play. CMOs should be asking their teams: where are our biggest operational inefficiencies, and which of those can agentic AI eliminate in the next 90 days?
What the Best AI Users Do Differently — and How to Level Up All of Your Employees
Source: Harvard Business Review (https://hbr.org/2026/03/what-the-best-ai-users-do-differently-and-how-to-level-up-all-of-your-employees ) | March 19, 2026 | Nick Hallman, Zach Kowaleski, Anu Puvvada, and Jaime J. Schmidt
An eight-month study of 2,500 employees at KPMG identified specific behavioral and cognitive indicators that distinguish AI superusers from average adopters. The research reveals that the gap between top AI users and the rest is not primarily about technical skill — it is about how individuals frame problems, iterate on prompts, and integrate AI outputs into their decision-making workflows. The study provides actionable indicators that organizations can use to identify superusers and design targeted upskilling programs.
For CMOs managing marketing teams in the midst of AI transformation, this research has direct operational implications. The finding that superuser status is behavioral, not just technical, means that AI upskilling programs need to focus on workflow integration and critical thinking habits — not just tool training. Marketing leaders should identify their own AI superusers, study what they do differently, and build those behaviors into team onboarding and performance frameworks.
