If your organization is discussing AI without providing a clear plan, change management tools, or specific learning resources, this approach will help you take ownership of your upskilling journey.
Step 1: Find out how AI is used in your field
AI is not a one-size-fits-all solution. Its applications vary widely in the areas of marketing, sales, product development and business operations. By researching how AI is being applied in your field, you can separate hype from real value and prioritize skills that align with your role and business goals.
Follow updates from major players such as Microsoft, Google, Adobe, Salesforce and ServiceNow. Pay attention to emerging AI-native companies that are pushing boundaries in personalization and automation.
By tapping into thought leadership from sources such as MarTech.org, Gartner and Forrester, you stay up to date on trends and best practices. Subscribe and ski weekly. As you research, bookmark use cases that align with your work. They will serve as a roadmap for experiments.
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Step 2: Create time in your schedule to use and practice AI
Upskilling is an active process that requires hands-on experience rather than passive reading. Blocking regular calendar time (for example, 30 minutes twice a week) shows commitment to yourself and your team.
To get started, check out courses on LinkedIn Learning, Coursera, and Udemy, and consider joining AI-focused communities on LinkedIn or Slack for real-world tips. Focus on proven use cases that deliver immediate value, such as authoring copy, summarizing reports, or generating audience insights.
Experiment with tools like ChatGPT, Runway, Midjourney, Synthesia, and GrammarlyGO to broaden your hands-on experience. Compare the results and document what works best. Over time, this exercise will help you create a playbook tailored to your team’s needs.
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Step 3: Identify one to two small process improvements and implement AI there
Big transformations start small. To build momentum, identify one or two process improvements where AI can deliver quick wins. Instead of overhauling entire workflows, you can check your tasks for repetitive, time-consuming steps and align them with relevant AI capabilities.
For example, you can automate A/B testing analyzes or use chatbots for initial customer questions. Measure impact by tracking time saved, improving accuracy, increasing engagement and more, then share the results internally. Simple “before vs. after” snapshots can promote broader adoption across the organization.
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Step 4: Scale and reinterpret entire processes
Once you have a few small wins, you can continue to protect the calendar time to explore bigger opportunities. Ask how processes could be redesigned if AI were to take center stage. This may include:
- Shifting campaign planning to AI-driven predictive models.
- Move content production to dynamic, AI-enabled workflows.
- Using AI to personalize customer journeys.
Remember, scaling AI is as much about change management as it is about technology. Include stakeholders, document workflows and set clear KPIs.
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Further training in the field of AI is a responsibility
Success in AI upskilling requires a change in mindset. Embrace curiosity over fear. AI won’t replace you if you learn to use it; it will replace tasks, not talent. Value iteration over perfection, recognizing that early attempts may be clumsy, but progress is what matters. Foster collaboration by sharing lessons with colleagues, because adoption accelerates when teams learn together.
Ultimately, AI is not a passing trend, but a tectonic shift. Waiting for a perfect leadership roadmap is a gamble, so instead, take ownership of your learning journey. Start small, stay curious and scale thoughtfully. The marketers who thrive in the age of AI will be the ones who embrace change with intention.
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Contributing authors are invited to create content for MarTech and are chosen for their expertise and contribution to the martech community. Our contributors work under the supervision of the editors and contributions are checked for quality and relevance to our readers. MarTech is owned by Semrush. The contributor was not asked to make any direct or indirect mentions of it Semrush. The opinions they express are their own.
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