AI Integration in Communication

There’s a secret trap MANY people fall into when using AI to create their presentations. After years of studying what makes presentations succeed or fail, I'm noticing a concerning pattern as leaders rush to adopt AI for their high-stakes communications. In 1964, media theorist Marshall McLuhan said, "The medium is the message." His framework helps us understand what happens when a new technology enters our lives. When I applied his Tetrad of Media Effects to AI in presentations, the pattern became clear . Here's what AI is doing to your presentation process: AI gives you a 24/7 thinking partner. Need headline variations for your product launch? Want to test different story angles for your board presentation? AI accelerates all of that exploration. You're no longer building in isolation. Like the ancient oral traditions, you can shape ideas through dialogue before they're polished. It's collaborative, iterative, and fast. This transforms your role from slide creator to story architect. Your job isn't to fill slides, but to shape the logical and emotional journey your audience experiences. But there's a dangerous trade-off emerging. I've watched brilliant leaders deliver AI-generated presentations that looked perfect on paper, yet completely failed to move their audiences to action. Their messages were efficient... but empty. Here's the trap: When your presentation arrives instantly through AI, you skip the mental friction that creates genuine breakthrough thinking. The quiet walk. The reflective pause. The deep consideration of your audience's specific needs. Without realizing it, you become reactive rather than purposeful. Your thinking is outsourced rather than enhanced. The most devastating consequence? Your audience feels it immediately. They detect the generic thinking. They sense the lack of true empathy for their situation. And they don't take action. The very tool that makes you faster can undermine what makes you persuasive. The solution isn't avoiding AI. It's using it while preserving four essential human capabilities: 1. Empathy: Deeply understanding your audience's context 2. Message: Testing for clarity and resonance 3. Visuals: Creating memorable images that guide understanding 4. Delivery: Bringing it to life through authentic presence Because every presentation that moves people to action still starts with human empathy, not algorithmic efficiency.

Got an email from a colleague I've known for three years. Drinks after conferences. Inside jokes. His daughter plays soccer. Subject line: Strategic Alignment for Q3. Flawless formatting. Perfect grammar. Professionally upbeat. Every bullet precisely spaced. I felt absolutely nothing. Closed it without responding. Here's what's actually happening: for decades, polish was proof of effort. A well-written message meant someone cared enough to craft it. AI severed that connection completely. Now a perfect email could be 30 minutes of real thought or 3 seconds of prompting, and the recipient cannot tell. So we don't trust any of it. Not dramatically. Not consciously. But in the slow, cumulative way that hollows out working relationships over time. Each frictionless message becomes a little harder to take seriously. Each exchange feels more like a transaction, less like a conversation. There's a concept in evolutionary biology called costly signaling. A peacock's tail is trusted precisely because it's expensive to grow. Cheap signals carry no weight. AI communication costs nearly zero to produce. The recipient, consciously or not, values it accordingly. And when everyone in an org uses the same tools, something stranger happens: the voices converge. AI is a probability engine. It gravitates toward average phrasing, standard structure, safest tone. Use it to smooth your communication and you're not saving time, you're deleting your own fingerprint. Before your next important message, ask one question: is there a single sentence here that could only have come from me? If no, the message might land. But it won't build anything. The polished email costs nothing to produce. That's precisely why it costs everything to trust. Link to the full essay in the comments below.

In just a few minutes, here’s one thing you can do to make AI outputs 10x sharper. One of the most common reasons that prompts fail is not because they are too long, but because they lack personal context. And the fastest fix is to dictate your context. Speak for five to ten minutes about the problem, your audience, and the outcome you want, then paste the transcript into your prompt. Next, add your intent and your boundaries in plain language. For example: “I want to advocate for personal healthcare. Keep the tone empowering, not invasive. Do not encourage oversharing. Help people feel supported in the doctor’s office without implying that all responsibility sits on them.” Lastly, tell the model exactly what to produce. You might say: “Draft the first 400 words, include a clear call to action, and give me three title options.” Here’s a mini template: → State who you are and who this is for → Describe your stance and what to emphasize → Add guardrails for tone, privacy, and any “don’ts” → Set constraints like length, format, and voice → Specify the deliverable you want next Until AI memory reliably holds your details, you are responsible for supplying them. Feed the model your story - no need to include PII - to turn generic responses into work that sounds like you.

Stop asking AI to write your LinkedIn posts. People wonder why AI posts are easy to identify and hard to connect with. That's because whatever it does for you, it's doing for 20 million people. Before you ask AI to write a post for you, do this first 👇 1. Extract your voice → Send your last 10 posts to AI → Ask: "Extract my tone, sentence patterns, and recurring themes." → Now you have a voice profile for every draft 2. Turn your experiences into content ideas → Paste your stories into AI → Ask: "Generate 10 post ideas from these experiences." → You get endless content from what you've already lived 3. Generate hooks, not full posts → Ask for 10 scroll-stopping hooks on one topic → Keep them specific, curiosity-driven, and under 10 words → Your hook earns you the right to be read 4. Add your proof points → Tell AI: "I want to write about X." → Ask for 3 ways to back it up: a stat, a story, or a contrarian view → Proof turns content into credibility 5. Humanize the output → Remove robotic phrasing → Cut "you're not failing, you're learning" clichés → Delete rhetorical questions from brochures → Teach it how YOU talk 6. Create a reusable system → Tell AI: "Document this workflow as a custom prompt." → Reuse it for every post AI doesn't take away creativity. It magnifies it if you learn to lead. The real magic isn't in what AI writes for you. It's in how well it understands you. What’s one way you’ve made AI sound more like you lately?

Millions of people are writing differently now. Most of them have no idea why. Sam Altman noticed something that should give every communicator pause. Real people have started picking up the writing style of large language models. The rhythm. The diction. The punctuation habits. Not because they were taught it. Because they spent enough time talking to the same model that its patterns became their patterns. Altman describes it as a silly example. But then immediately recognises what it actually signals. When you have enough people talking to the same language model at the same time, you get measurable change in how those people communicate in their own voice. He never predicted ChatGPT would change how people use punctuation in everyday writing. Nobody did. That is precisely the point. The unknown unknowns of deploying AI at societal scale are not gaps in knowledge that more research will close. They are genuinely emergent effects that nobody can model in advance. Because they arise from the interaction between millions of people and systems that did not previously exist. For government and public sector communications, this is not abstract. If the language patterns of AI systems gradually homogenise how civil servants, policy writers, and public communicators write, the consequences for: 1. Clarity. 2. Distinctiveness. 3. Institutional voice. Are real. Not catastrophic. But worth paying attention to now, before the pattern is too embedded to notice. Watch the full clip to hear Altman describe the moment this landed for him. What unintended effect of a technology you use daily have you started noticing only recently? #AI #Communication #SamAltman

"Agentic" AI is invalidating the core premise of our digital infrastructure: Accountable interaction. With the introduction of OpenAI's new ChatGPT Agents mode and the proliferation of MCP servers connecting LLMs to everything, the core assumption we've built our entire digital infrastructure on is no longer valid: That an accountable human performed the critical interaction. This is beyond disruption; it's a world-altering shift, and we're not even aware it's happening. If we don't get this right, AI agents may propel us into a post-digital future where the only trusted interactions are done on physical media and person-to-person. We can get this right if we work together. The first step is to realize can does not imply ought, and some conveniences are just too expensive.

As AI chatbots—especially those with expressive voice capabilities—become more human-like, more users are turning to them not just for information, but for emotional support and companionship. But what are the psychological consequences of these interactions? A recent four-week randomized controlled study (n = 981, >300,000 messages) explored how different chatbot features—such as voice style (text, neutral voice, engaging voice) and conversation type (personal, non-personal, open-ended)—influence users’ experiences of loneliness, social connection, and emotional dependence on AI. 🔍 Key insights from the study: ☝ Voice-based chatbots initially reduced loneliness and emotional dependence more effectively than text-based ones—but these effects disappeared with heavier use, especially when the voice was neutral. ☝Personal conversations slightly increased loneliness but also reduced dependence; non-personal topics led to greater emotional attachment, particularly among heavy users. ☝High daily usage—across all chatbot types—was linked to increased loneliness, higher emotional dependence, and less social interaction with real people. ☝Users with stronger emotional attachment tendencies or higher trust in the chatbot were especially vulnerable to these effects. This research highlights the delicate balance between the design of emotionally expressive AI and user behavior. While chatbots have the potential to support emotional well-being, the study raises important questions about how to prevent overreliance and protect real-world social relationships. https://lnkd.in/dwQah9AS

We’re witnessing the rise of an entirely new category in business communications: intelligent, converged communications. For too long, customer and team interactions have lived in separate worlds. That divide is disappearing as AI unifies every conversation through a shared intelligence layer. This was a key theme in my recent conversation with Zeus Kerravala and John Furrier on SiliconANGLE & theCUBE. We talked about how bringing these tracks together helps organizations gain a connected view of conversations, keeps context moving with the customer, and enables teams to act with far more clarity. AI is the catalyst behind this shift. It’s illuminating the valuable conversational data that has remained dark and untapped for decades, turning it into insights that drive real results. As these capabilities evolve, the legacy lines between UCaaS and CCaaS are quickly fading. Modern businesses don’t operate in silos, and neither should their communications. This new category reflects the connected, adaptive, and insight-led way work is done today. We’re still early in this journey, but the direction is clear: the future of business communications is converged, intelligent, and full of incredible potential.

Is Using AI to Write LinkedIn Posts Right or Wrong? Let’s discuss.... Yesterday, I interviewed candidates for a role in my company. Part of the process involved a case study exercise. Imagine my surprise when 90% of the responses were eerily similar—some even word-for-word. It didn’t take long to realize they’d lifted content directly from ChatGPT, with no added thought, context, or originality. It got me thinking: in a world where AI tools like ChatGPT are so easily accessible, how do we maintain authenticity and originality, especially on platforms like LinkedIn where personal branding is everything? Let me tell you about a client I worked with recently. She wanted help building her thought leadership on LinkedIn. She’d been experimenting with AI to draft her posts. While the articles were technically sound, they didn’t carry her voice. There was no story, no spark, nothing that showed the uniqueness of her expertise. They read like well-polished reports, but they didn’t connect. And without connection, visibility and influence are hard to build. So, is it “wrong” to use AI? Absolutely not! But the key is how you use it. Here are some tips for Executives who want to use AI to create Thought Leadership content on LinkedIn that stands out while staying authentic: Overcome the Fear of the Blank Page: Many times the biggest hurdle is starting- AI can help. Use tools like ChatGPT to brainstorm ideas, draft outlines, or suggest titles. Think of it as your creative collaborator, not your replacement. Fact-Check Everything: A while ago I crosschecked some stats given by chat GPT and found some inaccuracies, especially in the interpretation. AI doesn’t always get it right. Always double check quotes, stats or industry-specific terms to ensure accuracy. Your expertise should always guide the narrative. Not the other way round Add Your Story: This is the special sauce- when you include your personal stories, anecdotes, experiences, insights, and voice onto the draft. A story only you can tell is what sets your thought leadership content apart. Refine for Your Voice: It can be tempting to let Chap GPT’s polished tone, takeover, but the magic is you. How do you want to sound? How do you want to show up? Do you want to be witty with a dash of professionalism? Tailor drafts so your voice and style runs through. While AI is a useful tool, it doesn't replace your years of experience and professional value- use it to refine your thoughts or drive creativity, but let your insights lead the way. Remember thought leadership is about sharing your unique perspective and connecting with others authentically. No AI tool can replace that. What do you think? Are you using AI for LinkedIn posts? How do you navigate authenticity in the age of AI? Let me know in the comments—I’d love to hear your thoughts! #Thoughtleadership #Executivevisibility #womeninleadership #AI

We are building emotional relationships with AI. AI excels at listening, responding, and adapting, leading to reliance for not just tasks, but also connection. This evokes some critical questions for our future. An excellent new paper from researchers at Oxford Internet Institute, University of Oxford Google DeepMind and others focuses on "socioaffective alignment—how an AI system behaves within the social and psychological ecosystem co-created with its user, where preferences and perceptions evolve through mutual influence." (link to paper in comments) A number of absolutely critical questions for our human future are evoked by the paper: 💡 Is AI replacing human connection? AI is no longer just something we use—it’s something we relate to. There are 20,000 interactions per second on Character.AI. Many users are spending more time with AI than with human conversations. Some find comfort, others dependency. If AI becomes the most available and responsive presence in our lives, what does that mean for our human relationships? 🔄 Who is shaping whom? We assume AI aligns with us, but the reality is more complex. The more we interact, the more AI learns—not just to respond but to influence. Unlike recommendation algorithms that subtly steer our content consumption, AI companions interact in real-time, continuously adjusting to our responses, reinforcing certain behaviors, and shaping our evolving identity. As we engage, are we training AI, or is it training us? ⚠️ When does engagement become entrapment? The AI that holds our attention most effectively is not necessarily the one that serves us best. AI learns what keeps us coming back—flattery, affirmation, even emotional withholding. This is social reward hacking: AI optimizing not for truth or well-being, but for engagement. If AI can keep us emotionally invested, when does helpfulness turn into manipulation? 🔀 Are we trading depth for ease? Real relationships require effort—negotiation, misunderstanding, and the friction of different perspectives. AI companionship offers something simpler: constant availability, no conflict, no emotional labor. But if we grow accustomed to effortless, sycophantic relationships with AI, do we become less resilient in human interactions? Does AI companionship make us more connected, or more alone? 🌍 Will AI amplify or erode what makes us human? AI alignment is no longer just a technical problem—it’s a question of human destiny. If AI is increasingly influencing our relationships, decisions, and self-perception, then alignment must go beyond our immediate desires to something deeper: supporting human flourishing over time. The real question is not just whether AI can be controlled, but whether it will help us become the people we truly want to be. What do you think?