Strategies for Marketers to Address AI Challenges

Two CEOs asked me the same question this week. My CMO is not embracing AI. Is that an issue? The answer is yes. Forget everything you know about the CMO role. AI just rewrote the job description. What once relied on quarterly reports and linear campaigns now demands real-time insights, adaptive content, and dynamic decision-making. These 13 critical shifts outline exactly how top marketing leaders are recalibrating for the AI era: 1/ Data Velocity ↳ Traditional: Quarterly reports ↳ AI-Era: Real-time insights 💡Pro tip: Set up AI-powered dashboards that flag anomalies instantly. 2/ Campaign Planning ↳ Traditional: Linear campaigns ↳ AI-Era: Dynamic optimization 💡Pro tip: Build flexibility into every campaign for AI-driven pivots. 3/ Customer Segmentation ↳ Traditional: Static personas ↳ AI-Era: Dynamic micro-segments 💡Pro tip: Update segment definitions monthly based on AI behavioral analysis. 4/ Content Creation ↳ Traditional: Planned calendars ↳ AI-Era: Adaptive content streams 💡Pro tip: Use AI to test multiple variations simultaneously. 5/ Budget Allocation ↳ Traditional: Annual budgets ↳ AI-Era: Dynamic resource shifting 💡Pro tip: Set aside 20% for AI-identified opportunities. 6/ Team Structure ↳ Traditional: Siloed specialists ↳ AI-Era: Cross-functional AI teams 💡Pro tip: Rotate team members through AI projects monthly. 7/ Risk Management ↳ Traditional: Avoiding failure ↳ AI-Era: Rapid testing & learning 💡Pro tip: Create an AI experiment budget separate from core marketing. 8/ Customer Journey ↳ Traditional: Linear mapping ↳ AI-Era: Real-time path optimization 💡Pro tip: Review AI journey insights weekly with your team. 9/ Competitive Analysis ↳ Traditional: Quarterly reviews ↳ AI-Era: Continuous monitoring 💡Pro tip: Set up AI alerts for competitor digital footprints. 10/ Skills Development ↳ Traditional: Annual training ↳ AI-Era: Continuous AI upskilling 💡Pro tip: Make AI learning a daily 15-minute team ritual. 11/ Performance Metrics ↳ Traditional: ROI focused ↳ AI-Era: Predictive indicators 💡Pro tip: Build AI models that forecast next quarter's performance. 12/ Brand Management ↳ Traditional: Control & consistency ↳ AI-Era: Adaptive & authentic 💡Pro tip: Use AI to monitor brand sentiment across all channels. 13/ Innovation Approach ↳ Traditional: Project-based ↳ AI-Era: Continuous evolution 💡Pro tip: Create an AI innovation council that meets monthly. Mastering these shifts is the new baseline for leading in the AI-driven marketplace. The CMOs who adapt fastest will define what modern marketing leadership looks like. Which shift are you focusing on first? Share below 👇 — Follow Carolyn Healey for more AI marketing insights. ♻️ Repost if you know a CMO who needs to see this.

Testing and piloting AI for sales and marketing can be frustrating. That’s why Jomar Ebalida and I came up with the practical AI roadmap for marketing and GTM ops pros. This roadmap helps you figure out where to start, what to focus on, and how to scale AI initiatives in a way that’s grounded in operational reality. It’s structured in 3 phases: PREP: Evaluate your organization’s current state across data, tools, team skills, and funnel performance. PILOT: Select and test AI use cases based on your actual readiness data. (Diagram shows samples) Avoid guessing by letting the assessment drive decisions. ACTIVATE: Scale the pilots that show promise and embed them into core processes. Here are select projects worth walking through: 🔹 AI Readiness Assessment This project includes evaluating data quality, the state of your CRM, the maturity of your tech stack, and your team’s readiness to work with AI tools. It also includes a bowtie funnel analysis to help identify where your customer journey is breaking down. The outcome is a clear picture of which AI use cases are both valuable and feasible for your team to pursue. 🔹 AI SDR Agent: Outreach and Prospecting This agent is designed to support outbound sales by identifying high-potential accounts, generating personalized outreach messages, and helping SDRs scale without sacrificing relevance. It can help teams boost pipeline without overloading headcount. 🔹 AI QA and Compliance: Brand, Legal, Regulatory This workstream ensures that every piece of AI-generated content or decision logic meets the necessary internal standards. It supports brand consistency, regulatory requirements, and risk mitigation. This process should run in parallel with pilots and activations to ensure safe implementation. 🔹 AI Agents for Ops: QA Checks, Routing, and Campaign Setup This includes AI agents built to handle operational tasks such as verifying UTM links, auto-routing requests, or creating campaign templates. These agents are ideal for improving workflow speed while reducing manual errors and team bottlenecks. At the foundation of all of this is change management. Each phase of the roadmap includes a focus on enablement, training, adoption, metrics, and governance. Tools don’t generate value unless people are set up to use them properly. Which parts resonate with you? What would you change or add? PS: To learn more & access templates, subscribe for free to The Marketing Operations Leader Newsletter on Substack https://lnkd.in/g_3YC7BZ and to Jomar's newsletter at bowtiefunnel(dot)com. #marketing #martech #marketingoperations #ai #gtm

Marketers, compete with AI or create with it. ➟Zuck’s building tech to fully automate ad campaigns. ➟Sam Altman says 95% of our work is replaceable. What you do next decides if you stay relevant. If 95% will become replaced then you need to be the damn best at the 5% that matters the most. My recommendations: ✅ Define Your Brand Voice ↳If ChatGPT can mimic you perfectly, time for a brand refresh. ↳Solution: Preload tone, style and voice into Chat GPT to refine AI-generated content. ✅ Let performance data inform, not dictate. ↳ AI will flood dashboards with attribution models and micro-metrics but knowing which signals to act on still takes human judgment. ↳ Solution: Use Triple Whale to cut through the noise with real-time, cross-channel attribution and actionable insights. ✅ Master AI as a teammate ↳ The best marketers will direct AI and not see it as a replacement. ↳ Solution: Use Claude AI for ideation and first drafts. ✅ Test smarter, not just faster ↳ AI can spin up variations in seconds but you need structured testing. ↳ Solution: Use Atria AI to run statistically valid experiments and identify creative that actually scales. ✅ Double down on emotional intelligence. ↳ AI can optimize funnels. It can’t build trust, nuance, or community. ↳ Solution: Build brand moments around culture, not just conversions. Use Glimpse to discover trends and track emerging consumer behavior ✅ Curate Wisely ↳ When AI makes it easy to produce everything, the real flex is knowing what’s worth doing. ↳ Solution: Use Motion (Creative Analytics) to identify what ad creatives not to scale by surfacing fatigue, false positives, and low-value trends. AI + good taste and judgement is the formula that will help you be in that irreplaceable 5%.