AI Comments on LinkedIn: Why Automated Engagement Destroys Trust

LinkedIn is starting to limit AI comments LinkedIn. That’s a good move—but it only addresses part of the problem.

You see these comments everywhere now:

“Great post! Very inspiring and absolutely relevant in today’s world. Thanks for sharing!”

Polite. Harmless. Completely empty.

The real issue is not the comment itself—it’s the effect. People start to question what’s real:

If even the reactions feel artificial, how authentic is the content behind them?

This is no longer about spam. It’s about trust.

Why LinkedIn is taking action

LinkedIn plans to reduce the visibility of automated comments and restrict users who rely on them repeatedly.

The reason is simple: trust behaves like a currency. Once approval is artificially inflated, real approval loses value.

The consequences are already visible:

• Strong content gets buried in generic praise
• Real conversations become rare
• Reputation becomes harder to assess

Engagement pods are also being detected and throttled. The platform is making manipulation less rewarding.

But platform changes don’t fix the underlying issue.

The real problem: outsourcing relationships

AI itself is not the problem. The way it’s used is.

Many turn to automated comments for one reason: reach. Comments drive visibility, so interaction gets outsourced—to tools, scripts, automation.

What follows is familiar from many organizations:

• “We have values.” – visible, but not lived
• “We have a feedback culture.” – but no one speaks up
• “We are transparent.” – until things get uncomfortable

Everything looks right on paper. Nothing works in practice.

AI-generated comments are the same: technically correct, but ineffective.

The leadership blind spot

This shows up regularly in training and coaching. Leaders want to be visible—but time is limited.

So the question comes up: can AI handle comments, messages, basic interaction?

The answer is straightforward:

AI can support thinking. It cannot replace credibility.

Credibility is not created by individual messages. It builds over time through consistent, human interaction.

When you automate comments, you are not scaling efficiency. You are outsourcing relationships.

And that always has consequences.

5 rules for 2026: using AI without losing trust

Keep it practical:

1. Let AI prepare—respond yourself

Use AI for structure and clarity. But the final comment must sound like you.

2. Fewer comments, more substance

Three meaningful comments beat thirty generic ones. Strong comments:

• add perspective
• ask precise questions
• challenge constructively
• share real examples

3. Be strategic with links

External links often reduce reach. If needed, place them in the comments—not the main post.

4. Avoid engagement bait

“Comment YES” tactics are losing effectiveness and may hurt visibility. Ask real questions instead.

5. Use AI to improve thinking—not to fake connection

AI is good at structuring ideas and identifying patterns. It is not built to replace human interaction.

What this means for leadership

Communication is a core leadership responsibility—even in places that seem informal, like LinkedIn.

If you simulate relationships online, you pay for it offline:

• in company culture
• in employer attractiveness
• in stakeholder trust
• in crisis situations

AI accelerates processes. It does not make them more human.

And leadership ultimately depends on that human factor: trust.

Conclusion: visibility or impact?

LinkedIn can limit AI comments. That makes sense.

But the real question is different:

Do you want visibility—or do you want impact?

Impact does not come from activity.
Impact comes from clarity, consistency, and real relationships.

Reflection

How can you tell within three seconds that a comment was generated by AI—and what does that do to your level of trust?

This is exactly where media training focuses: impact, language, and presence—practical and without buzzwords.

Photo: DIKT GmbH

Yours,
Nikolai A. Behr