⚖️ Your Boss Might Be Using AI to Decide Your Promotion

🔍 What’s Going On?

A new survey shows 6 out of 10 managers use AI to guide major decisions at work. Not just for analytics or scheduling—but for career-changing choices like:

• Who gets hired

• Who gets promoted

• Who gets laid off

AI isn’t just a sidekick anymore. It’s sitting in the decision-making chair.

🧩 Why Managers Are Turning to AI

• Speed: AI analyzes performance data, emails, and even meeting participation in seconds.

• Perceived fairness: Many managers believe AI reduces bias (though experts warn it can also amplify it if fed biased data).

• Data overload: When managers have more metrics than they can process, AI becomes the shortcut.

⚠️ The Catch

• AI isn’t human: It doesn’t understand context, relationships, or nuance.

• Bias still exists: If the data’s biased, the AI’s biased. Period.

• Accountability gets fuzzy: When a machine suggests firing someone—who owns that call?

These aren’t just “tech problems.” They’re career problems.

🎯 Why You Should Care

• Your digital footprint matters more than ever. Emails, response times, even how you participate in meetings might feed these systems.

• Soft skills still matter—but might not show up in data. That casual pep talk you gave a teammate? AI won’t give you credit for that.

• Transparency is rare. Most companies don’t announce they’re using AI for these calls.

Bottom line: decisions about your future may already involve algorithms—even if no one says so.

💡 Try This: Make AI Work for You at Work

You can’t control the system, but you can control what it sees. Here’s how:

✅ Step 1: Keep Records

Document big wins, projects, and positive feedback. If the AI looks at metrics, make sure your contributions are measurable.

✅ Step 2: Boost Digital Visibility

• Respond promptly to emails and messages

• Share progress updates in team tools

• Participate actively in virtual meetings (yes, even when your camera’s off)

✅ Step 3: Highlight What AI Misses

In reviews, call out soft skills and leadership contributions. If the algorithm doesn’t track it, your manager needs to hear it.

✅ Step 4: Ask Questions

If you suspect AI is part of decisions, ask:

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