The data already tells you where to start. In a survey of 1,080 marketers globally, including 272 technology marketers, 79% use generative AI for content tasks, 48% use AI to write first drafts, and 63% still lack guidelines for using AI. That’s not innovation. That’s unmanaged production. Read the full CMI takeaways and you’ll see the same pattern: AI is useful, but governance is the gap.
Here’s how you leverage the conference without wasting the quarter:
↳ Build AI rules before you scale AI output. Educate your team, name an AI owner, and set simple approval guidelines. Otherwise you’ll publish faster and lose trust faster.
↳ Fix the system, not just the copy. With 51% of technology marketers working with new team members, 33% seeing resignations, and 28% dealing with layoffs, your process has to survive churn. A repeatable engine beats heroics.
↳ Prioritize relevance over volume. 61% say creating the right content is hard, and 66% are short on resources. That means your next win is fewer, sharper assets that solve a real buyer problem.
↳ Correlate your data or keep guessing. When 88% struggle to connect data across platforms, personalization becomes theater. You need one view of performance, not five dashboards with different stories.
↳ Repurpose like you mean it. The fastest teams don’t create more from scratch; they turn one insight into blogs, social, landing pages, and answer-led assets. That’s where speed starts paying back.
In Informa TechTarget’s survey of 400 marketing leaders, 25% of demand generation marketers and 18% of content marketers expected budgets to decrease, while 38% planned to increase spend on AI tools, platforms, and training if funds allow. That tells you the brief: use AI to boost creativity, not replace it. See the H2 trend perspective and keep your eye on execution.
At Upfront-ai, that’s exactly the point: automated, customizable, AI-agentic content production for SEO,
