Solving the AI Disconnect Between Executives and Employees

Key Takeaways:

• The C-Suite Disconnect: Executives see a goldmine of productivity from AI, but the average employee sees a time-sink. 
• Why the AI Efficiency Gap Exists: Many tools feel like an extra “to-do” because they aren’t built for the specific requirements of people’s day-to-day work.
• How to Close It: By turning employees into co-creators and tailoring models to your specific brand voice, AI moves from a distraction into a 12-hour-a-week time-saving advantage.

A January 21st Wall Street Journal article by Conor Grant highlighted a frustrating reality: while the C-suite is bullish on AI, the average employee feels unconvinced. There is a massive disconnect between leadership and the front lines when it comes to AI.

The Data Doesn’t Lie. WSJ reported:

• The Staff Perspective: Two-thirds of non-management employees save less than two hours a week—or no time at all—using AI.
• The Executive Perspective: Over 40% of leaders claim AI saves them more than eight hours a week.

Why the disconnect? We see three main culprits:

1. Fragmented Implementation: Poorly rolled-out tools with zero standardized training.
2. Functionality Mismatch: Off-the-shelf AI doesn’t solve the actual requirements of daily tasks.
3. Communication Breakdown: A lack of alignment among the buyers and builders and users.

Bridging the Gap with Magid Collaborator

Magid is proud to share that we’re seeing a very different story. In a recent survey of over 1,600 Collaborator users, the results were consistent across the entire org chart—from entry-level to senior leadership.

The highlight? 21% of Collaborator users report reclaiming over 12 hours every week. 

We attribute this time-savings success to three core pillars:

• Hyper-Customized Onboarding: We don’t do “one size fits all.” Our experts tailor every tool to a team’s specific goals, voice, and audience.
• Co-Creators, Not Just Users: Our ongoing feedback loop and support system empower users to become co-creators of their AI solution.
• Human-Centric Models: We build AI models based on our users’ best-in-class examples and content guidelines, ensuring the output is actually useful from day one.

AI shouldn’t be another “to-do” on your list—it should be the reason your list gets shorter. If using AI is costing your average employee time rather than saving it, you need to change your AI implementation strategy.

Get AI that actually works.