By Jeff Altman, Big Game Hunter
In the executive job market, your key competitors are not just other leaders. This is the huge impact of artificial intelligence. When every “personalized” LinkedIn message sounds like it’s written by the same algorithm, the only way to get a response from your senior peers is to lead it your way uniqueness.
uniqueness is the unique intersection of your specific history, experience, and vision. Online, it’s the difference between asking for help and offering a perspective that no one else in the room can offer.
Here’s how to use artificial intelligence to find intersections and draft outreach that require responses.
1. From “connection” to “contribution”
Most networking fails because it starts with a request: “I’d like to connect to learn more about your company.” In executive recruiting, this is a low-value request. To make progress, you must use artificial intelligence to identify “contribution points” based on your uniqueness.
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This move: Feed the AI model the target executive’s most recent white paper or a transcript of their last industry keynote.
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hint: “Analyze the core strategic assumptions of this content. Based on my background [Your Unique Intersection]identify a blind spot or alternative perspective that I can offer that hasn’t been discussed yet. “
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result: You are not “connecting”; you are “connecting”. You are making a contribution. Your message will become: “I read your article [X]. Given my specific navigation experience [Y] period [Z] Shifting, I noticed a unique similarity that might interest you. “
2. Semantic Network: Finding “hidden” peers
Your uniqueness is most valuable to those facing the exact problem you’ve solved in a different context. AI-powered semantic search allows you to find these people even if they’re not in your direct industry.
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Tactics: Use artificial intelligence to map your network problem set rather than job title.
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logic: If your sole goal is “scaling high-growth fintech during a time of regulatory tightening,” then you should be looking for a COO in: health care faces similar regulatory shifts.
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Outreach activities: “While our industries are different, our current regulatory hurdles are the same. I recently addressed [X] use [Y] frame. I’d be happy to share this data if you’d like a brief chat. “ It’s a peer-to-peer value proposition that completely skips the “job seeker” stigma.
3. “Anti-bot” polish: Protect your brand
The danger with using AI for outreach is that it tends to obscure the “uniqueness” that interests you. If your message sounds too perfect, it will come across as synthetic.
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80/20 Rule: Use AI to do 80% of the work – research, data synthesis and structure. 20% reserved for you people in circuit sign.
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repair: Manually insert “high-resolution” details, such as references to specific local events, co-mentors, or nuanced industry commentary that artificial intelligence wouldn’t dare prioritize.
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Target: Artificial intelligence provides relevance; you provide authority.
4. Avoid the “asking” trap
The final step in uniqueness-driven networking is “delayed querying.” Today, when you ask for a recommendation in your first message, you trigger the “recruiter filter” in your recipient’s mind.
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protocol: Your first message should be 100% focused on your uniqueness and the value you provide them.
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Follow-up actions: You will only get recommendations once they understand your unique insights. At that point, you’re no longer a stranger asking for a handout; you’re a recognized expert who would be a perfect fit for their organization.
bottom line
In a world of automation noise, your uniqueness It’s your signal. Don’t use AI to blend in; use it to find the exact frequency with which your unique history encounters their current problems.
If you’re not the only one who can send the message, don’t send it.
Ⓒ Big Game Hunters, Asheville, NC 2026
About Big Game Hunter Jeff Altman
People hire “Big Game Hunter” Jeff Altman to provide no-nonsense job coaching and career advice around the world because he’s great at job hunting And get ahead in your career more easily.
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