Eric Siu breaks down six mistakes companies make with AI: no clear metrics, using it just to spam content, skipping governance, messy data, leaving it to IT alone, and only chasing cost cuts. Real fixes: tie projects to outcomes, keep creative control, add human review, clean your data, involve business teams, reinvest the time you save.
These are the 6 biggest AI mistakes you're making and how they're holding you back. 1, building AI projects without a goal. You can't just jump into AI without defining a single measurable metric. If your project doesn't tie to revenue conversions or cost of acquiring a customer, it's simply a distraction. 2, treating AI like a content machine. If you're using AI to spam blogs or captions, you're doing it wrong. AI should never replace creative direction. Use it to test your own headlines and refine hooks before publishing, and always add your own voice to things. 3, no AI governance. Without guardrails, AI can wreck your brand and fast. Always have a human review process and data classification in place. 4, ignoring data hygiene. Unify your CRM, clean old records, and let AI help spot duplicates and outdated data. 5, leaving AI to the IT team. AI is not an IT project. It is a business strategy. Your marketers, sales, and ops teams need to build with it, not wait for permission. And 6, thinking AI is just for cost cutting. AI isn't here to replace people. It's here to multiply them. If you reinvest AI's time savings into innovation, that's where the compounding truly starts. Follow to build the kind of AI systems your competitors will copy next year.
