Why CMOs Should Pay Attention to Advertising Inside AI Models
As AI platforms like ChatGPT begin testing in-app advertising, CMOs face a critical new frontier in brand visibility and trust. This blog breaks down what’s changing, how major AI platforms are approaching ads, and what steps marketers must take to stay relevant in AI-driven discovery. With search, social, and display giving way to conversational intent, it’s time to reframe your strategy for the age of AI-powered attention. Relevance, not reach, now wins.
AI Resolutions for CMOs: What Marketing Leaders Should Commit to This Year
Many AI initiatives stall because they are treated as tools rather than leadership commitments. This article outlines the AI resolutions CMOs should commit to this year to move beyond pilots and experimentation. It focuses on clarity before capability, disciplined prioritization, governance that enables speed, role-based enablement, and fixing operational friction. The goal is to help marketing leaders embed AI into everyday workflows with confidence, reduce adoption anxiety, and deliver measurable business impact.
What Do CMOs Get Wrong About AI Adoption in Marketing
Many CMOs recognize the importance of AI but struggle to turn adoption into meaningful impact. The issue is rarely technology. It is how AI is framed, led, and embedded into marketing operations. This piece outlines five leadership mistakes that quietly derail AI adoption, from treating AI as a tool rollout to expecting ROI without changing workflows, and explains what successful CMOs do differently to make AI a durable marketing capability across teams and decision making.
Why Governance Enables Responsible AI in Marketing
Governance is the foundation that enables responsible AI use in marketing. It protects brand trust while giving teams clarity about what is allowed and how to move forward with confidence. This post explains why CMOs must own AI governance, how a marketing governance council operates, and the five pillars that ensure AI tools, use cases, inputs, outputs, and disclosures are managed responsibly and at scale.
The discipline behind sustainable AI in marketing
Sustainable Artificial Intelligence in Marketing is not about tool access. It is about repeatable habits that save time without breaking brand standards. On this episode of the Marketing AI SparkCast, Spark Novus founder Aby Varma speaks with Frank Lazaro, author of Finding Twelve Minutes, about making AI adoption practical through small daily wins. The focus is measurable capacity, faster iteration, consistent voice, and responsible human oversight so AI Marketing Strategies scale beyond power users and perform under pressure.
AI and CMOs in 2026: From Scattered Activity to Thoughtful Execution
AI is no longer an experiment for CMOs — it’s central to growth, efficiency, and competitive relevance in 2026. Marketing leaders must shift from fragmented tool adoption to intentional execution grounded in strategy, measurable outcomes, strong governance, and people readiness. Scattered activity creates fragmentation and risk. Prioritizing strategy before tools, running focused pilots, and aligning teams accelerates adoption. When integrated thoughtfully, AI becomes an operating capability that drives repeatable impact.
Building an AI-Ready Marketing Organization in 2026
Marketing teams are adopting AI faster than they are building the skills to use it well. This guide explains why structured AI training is now essential for productivity, quality, and governance. It outlines the capabilities modern marketers need, the workflows where AI drives the most impact, and how organizations can turn scattered experimentation into consistent, measurable performance. Designed for marketing leaders seeking clarity, confidence, and a practical path to building an AI ready team.
Marketing Productivity Playbook: 5 Quick AI Wins to Do More With Less
This playbook helps marketing leaders unlock practical, near term productivity gains by focusing on five quick wins that can be implemented in weeks, not months. It shows how AI and workflow automation free up capacity, accelerate campaigns, improve reporting, surface customer insights, and extend the value of existing content. With simple workflows, measurable impact models, and a 30/60/90 day roadmap, it offers a clear starting point for doing more with what you already have.