AI didn’t take my job. It gave me back the part of it that actually mattered - understanding people. For three decades, I believed I was doing "people work." I was wrong. My team was reviewing 50 resumes daily but never truly seeing candidates. Scheduling 20 interviews weekly but not preparing meaningful conversations. Drafting policy documents and communication instead of understanding employee concerns. With AI, now I can spend: → Spend 2 hours weekly in deep career conversations with high-potential employees → Conduct stay interviews that uncover real retention drivers → Design onboarding experiences that create genuine belonging → Make nuanced decisions about team dynamics and cultural fit → Build mentorship programs based on individual aspirations If you’re in HR or leadership, here’s how to make the same shift: Step 1: Map your week. List every recurring task, from screening résumés to sending feedback reports. Mark what requires pattern spotting (AI’s domain) versus empathy or nuance (your domain). Step 2: Automate the repeatables. Let AI handle interview scheduling, résumé shortlisting, and pulse surveys. This frees up 10 to 15 hours that you can reinvest where human connection drives outcomes. Step 3: Guard human time. Block at least two hours every week to mentor, check in, or resolve team friction. These are the kinds of conversations no bot can replicate. Step 4: Track the intangibles. Instead of only measuring time saved, track retention, engagement, and internal referrals. That’s the real ROI of emotional bandwidth. It removed the excuse that administrative tasks were strategic work. Now I'm finally doing what HR was always meant to be about: understanding people. What is the biggest change you’ve made with AI?
How to Foster Human Connection Through AI
Explore top LinkedIn content from expert professionals.
Summary
How to foster human connection through AI means using artificial intelligence to automate routine tasks, allowing people to focus on building relationships, understanding emotions, and creating purpose at work. Rather than replacing meaningful interactions, AI acts as a tool to create space for genuine human connection, empathy, and growth.
- Automate routine tasks: Use AI to manage repetitive work like scheduling and data tracking so you can dedicate more time to meaningful conversations and relationship building.
- Protect human moments: Set clear boundaries for AI by saving sensitive decisions, trust-building, and emotional conversations for real people, not machines.
- Build authentic culture: Encourage open discussions about AI’s role, promote continuous learning, and empower people to make decisions that reflect human values and purpose.
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I'm knee deep this week putting the finishing touches on my new Udemy course on "AI for People Managers: Lead with confidence in an AI-enabled workplace". After working with hundreds of managers cautiously navigating AI integration, here's what I've learned: the future belongs to leaders who can thoughtfully blend AI capabilities with genuine human wisdom, connection, and compassion. Your people don't need you to be the AI expert in the room; they need you to be authentic, caring, and completely committed to their success. No technology can replicate that. And no technology SHOULD. The managers who are absolutely thriving aren't necessarily the most tech-savvy ones. They're the leaders who understand how to use AI strategically to amplify their existing strengths while keeping clear boundaries around what must stay authentically human: building trust, navigating emotions, making tough ethical calls, having meaningful conversations, and inspiring people to bring their best work. Here's the most important takeaway: as AI handles more routine tasks, your human leadership skills become MORE valuable, not less. The economic value of emotional intelligence, empathy, and relationship building skyrockets when machines take over the mundane stuff. Here are 7 principles for leading humans in an AI-enabled world: 1. Use AI to create more space for real human connection, not to avoid it 2. Don't let AI handle sensitive emotions, ethical decisions, or trust-building moments 3. Be transparent about your AI experiments while emphasizing that human judgment (that's you, my friend) drives your decisions 4. Help your people develop uniquely human skills that complement rather than compete with technology. (Let me know how I can help. This is my jam.) 5. Own your strategic decisions completely. Don't hide behind AI recommendations when things get tough 6. Build psychological safety so people feel supported through technological change, not threatened by it 7. Remember your core job hasn't changed. You're still in charge of helping people do their best work and grow in their careers AI is just a powerful new tool to help you do that job better, and to help your people do theirs better. Make sure it's the REAL you showing up as the leader you are. #AI #coaching #managers
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𝐂𝐚𝐧 𝐟𝐮𝐥𝐟𝐢𝐥𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐩𝐮𝐫𝐩𝐨𝐬𝐞 𝐞𝐱𝐢𝐬𝐭 𝐢𝐧 𝐚 𝐀𝐈 𝐝𝐫𝐢𝐯𝐞𝐧 𝐰𝐨𝐫𝐥𝐝? In a world where AI is reshaping the landscape of work, I often get asked: "AI promises efficiency and productivity, but can it deliver a 'fulfilling culture' with purpose?". The answer isn't straightforward. It's a delicate balance, one where human values must guide technological advances. Here's how I see this work: 𝟏. 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐡𝐮𝐦𝐚𝐧 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧𝐬. As AI takes over routine tasks, we must focus on fostering relationships and truly ask "What role can I play working with others in augmenting results with AI?". Meaning and Purpose will be found through this reflection of human connections, not algorithms. 𝟐. 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐲. AI can provide data-driven insights, but humans must retain decision making and critical thinking power. Leaders must empower their teams to use AI insights to create meaningful outcomes through human connections. 𝟑. 𝐅𝐨𝐬𝐭𝐞𝐫 𝐨𝐩𝐞𝐧 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Encouraging discussions about AI's role and addressing fears and misconceptions openly will be key to find meaning to work. Not working in cylos but regularly updates on AI integrations and how it impacts work flows will only help deepen meaningful engagement. 𝟒. 𝐀𝐝𝐝𝐫𝐞𝐬𝐬 𝐛𝐢𝐚𝐬 𝐩𝐫𝐨𝐦𝐩𝐭𝐥𝐲. AI can inadvertently perpetuate biases. Ensuring diverse teams are involved in AI development and deployment is critical and we must make a conscious effort to do so. Creating systems that check for biases in AI outputs will be a must going forward for any work or workflow. 𝟓. 𝐏𝐫𝐨𝐦𝐨𝐭𝐞 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠. In most organizations, there is not an aligned effort to do this but providing consistent training to upskill employees on AI and creating a culture where learning on AI is valued and mistakes are seen as growth opportunities will lead to higher engagement. Remember, it's not just about the technology. It's about using AI as a tool to #restore the human experiences at work. This is I wrote The Restored Organization with Sebastian Anthony, uncovering these aspects in detail through the FLOWER™ Framework, and to remind us on the value and impact of 'humanizing' workplaces that can drive results through purpose, empathy and inclusion. So, what steps are you taking to ensure AI restores more #purpose and #fulfilment at your workplaces?
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Most leaders I work with are not asking if they should use AI. They are asking how to stay human while they do. Leaders know AI can help them move faster and reach more people. They are just afraid of sounding like everyone else. And they should be. AI generated content is exploding. At the same time, trust in generic communication is dropping and people are asking for clearer and more authentic messages from leaders and brands. The good news is, the research is on your side. Studies from Nielsen Norman Group show that people remember coherent stories far more than isolated facts. In a world filled with AI output, what sticks is not perfection. It is point of view. Which means you have to have one. In today’s episode of Badass Softie, I talk about a simple shift: AI creates. You curate. Your job is to bookend the work that AI does. You curate what goes in and you curate what comes out. On the front end, you need a clear message. You need to feed AI your stories and your lived experience. On the back end, you edit until it sounds like you and actually says something that makes your brand stand out. So how do you keep your content human as AI gets louder? 1) Use personal stories. AI can give you five tips for Q4. Only you can tell the moment that changed your leadership or the project that taught you something real. Story moves people into connection, and that is where trust begins. 2) Offer paradigm shifts. Step into the conversation everyone is having and turn the camera a few degrees. Most people say “finish the year strong.” You might say “finishing strong starts with removing what is draining you.” You are not trying to be contrarian. You are naming what you have actually seen. 3) Make sure your message is clear. Know who you serve, what problem you solve and how you stand out. Clear messaging lets AI actually sound like you instead of everyone else. This is the work I do with clients every day. If you want a place to start this week: -Pick one story from your life and connect it to your work. -Name one paradigm shift you believe your industry needs. -Identify the problem your brand solves and talk about it. Give all of that to AI on the front end and edit with it in mind on the back end. AI will keep creating more content. Your job is to keep curating your voice. You do not need to be louder. You need to be more you. Listen to Badass Softie wherever you get your podcasts. If your business needs help clarifying its message so your AI content actually sounds human, reach out. This is the work I love doing. #AIcopywriting #stayinghuman
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AI won’t replace our relationships. But it will change how we build them. In our training sessions, I see this play out every time: Some networkers hide behind AI-generated messages and scripts. Others use AI to handle tasks so they can focus on deeper conversations. The best networkers understand AI has its strengths. It can track your contacts and send follow-ups. It can suggest meeting times and draft emails. But it can't build trust. It can't show curiosity about someone's life. It can't create emotional bonds. The winning approach combines both —use AI to: • Manage your network database • Remember key details about contacts • Schedule and coordinate But save your human energy for: • Reading body language • Sharing vulnerable moments • Finding common ground • Asking thoughtful questions • Being present in conversations The future belongs to networkers who: Let AI handle the mechanical parts. So they can focus on the human parts. Because in an AI world, human connection will become even more valuable. Not less.