Having the Right AI Strategy is a Must
Building an AI strategy is about identifying what problems AI can solve and understanding how and when to deploy the
solutions. Two approaches have risen to the forefront in most marketing boardrooms.
The “tool-driven” approach sees AI as a technological solution to your business problem. The dialogue often goes like this: “AI is
intriguing. Everyone is using it. We cannot be left behind. So, what business problems can we solve with it?” But this approach is a
self-fulfilling fallacy because it already assumes that AI is the solution.
Instead, smart CMOs are shifting their mindsets to the “problem-driven” approach. It focuses on evaluating each business
problem individually, first asking if AI can and should be used to solve it. Only when the answer to both questions is ‘yes’ does the
conversation switch to how AI can provide the best solution.
This measured approach helps organizations avoid the shiny-object trap and ensures the technology is used meaningfully,
effectively, and ethically.
It’s also important to note that AI solutions rarely function perfectly off the shelf. These sophisticated tools need time to test,
iterate, and learn, especially when they’re applied to specific company data. Intelligent marketing leaders embrace imperfection
and plan for ample time for refinement.
A Blueprint for CMO Success in the High-Stakes AI Marketplace
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