The news: Social media managers (SMMs) report blind spots in AI’s ability to assist with trendspotting and market analysis, leading to wasted time, loss of employee trust, and delayed campaigns.

• Only 28% trust their current AI tools to accurately surface what’s happening on social media in real time, per a Censuswide survey commissioned by HootSuite.
• Just 39% of social media managers believe their AI uses real-time data.

Why it matters: Despite AI’s promise to streamline work, it's doing the opposite for many SMMs, who report spending excessive time coaxing proper answers and data out of AI engines.

Nearly half (43%) of social media managers spend 11 or more hours a week using AI tools, taking away time that could be spent on creative and strategic work.

Working through the noise: The amount of time spent on prompt tinkering could even be delaying campaign launches. More than half (59%) of marketing leaders report campaigns are launching after the trend window has closed, per HootSuite.

With trends moving fast, surface-level or outdated data hinders timely and relevant engagement. Without accurate, up-to-the-moment social data, the costs could include:

• Missed trend windows. Campaigns become less relevant and teams lose out on cultural moments that could drive engagement.
• Out-of-touch ads. Content can be outdated—or even insensitive—without timely insights. That can damage brand perception.
• Loss of trust. Repeatedly refining prompts and correcting outputs rather than executing high-impact work undermines confidence in AI initiatives.

Spending ≠ success: With all of these pain points, marketing teams are finding that investment doesn’t always equal impact.

Forty percent of senior marketers say they’ve wasted over 10% of their AI budget on tools that didn’t deliver. This could indicate a mismatch between executive expectations and the realities marketers face in their daily work.

Our take: AI’s current limitations may be widening the gap between insight and action, especially in a landscape where timing is everything. CMOs should:

• Involve their teams in AI tool selection to ensure real-world fit.
• Regularly evaluate whether applications are actually saving time.
• Provide training on prompt writing and the strengths of various models to cut down on wasted time.

A more realistic view of AI’s abilities and limitations will help marketing teams focus on strategy and creativity, rather than troubleshooting.

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