How AI Is Changing Communication Careers

Let me say something that may be uncomfortable for communicators: AI is not reshaping your tasks.    It is reshaping entire workflows — end to end. And the Comms function that doesn't reckon with that, fast, will not just lag. It will become irrelevant.   Here's what the data is telling us right now:   1️⃣ 91% of PR professionals now use generative AI in their workflows (Cision, 2026) 2️⃣ 75% of companies expected to invest in Agentic AI this year (Deloitte, 2026) 3️⃣ #1 most AI-impacted occupational group: media & communications workers (Microsoft Research)   That last stat is the one that should stop you mid-scroll.   Some may see this as the biggest threat to our profession. But shift your perspective just a little - and this is actually a great opportunity as communicators. 😉   When AI handles the heavy lifting of research, drafting, and real-time measurement, something becomes even more valuable: human judgment and human relationships.   The journalist who trusts your call. The executive you counsel in a crisis. The instinct to know when a message will land — and when it will backfire. No algorithm gets there.   And this is where I think we're failing the next generation: comms education still trains people to execute, not to advise. Senior presence comes with experience, but the advisor mindset has to start on day one. In an AI-powered world, a junior communicator who can't yet counsel will struggle to find their footing.   The Comms teams that will lead are those that use AI to move faster and smarter, while doubling down on the strategic counsel and relationships that only people can provide.   We are all at the beginning of this journey. The playbook is still being written. But one thing is clear: we need to move alongside the technology, not wait for it to pass us by.   #FutureOfComms #AITransformation #CorporateCommunications

The role of Chief Communications Officers and Government Affairs leaders is changing faster than most organizations realize. I was reminded of that this week watching more consolidation in Montana television, the market where I had my first on-air job as a young anchor and reporter. It’s easy to feel nostalgic. But that’s not the point anymore. The real question is: what comes next? We are no longer in a world where traditional media alone shapes public perception. AI systems now ingest, summarize, and amplify the entire information ecosystem in real time. Every earned media story, executive interview, press release, regulatory filing, and thought leadership piece becomes part of the data layer shaping platforms like ChatGPT, Claude, and Google Gemini. That shift matters. Because earned media doesn’t just influence today’s audience. It helps train tomorrow’s answers. And that changes the job. Communications and Government Affairs are no longer support functions. They are: • enterprise risk management • reputation architecture • business strategy If we don’t proactively tell our story with credibility and consistency, something, or someone, else will define it for us. The Company's that win in this next era will: • Earn trust through credible media • Build direct stakeholder relationships • Elevate visible, trusted leaders • Publish authoritative content • Align comms, policy, and strategy • Understand how AI systems surface information We can already see where this is going. Now is the time to help shape it. #Communications #GovernmentAffairs #AI #PublicRelations #EarnedMedia

If you’re in corporate communications and wondering if AI is coming for your job, you’re not alone. But you might be asking the wrong question. Recent research from MIT’s FutureTech group suggests AI isn’t wiping out roles overnight. It’s more of a “rising tide” that gradually improves across a wide range of tasks rather than replacing entire jobs all at once. That distinction matters because the need for us communicators isn't changing. What's changing is the shape of our work. Yes, AI can help draft messages, summarize information, and accelerate execution (which we should absolutely be using AI to do). But the parts of our roles that matter most are becoming more valuable: judgment in high-stakes moments, understanding nuance across stakeholder groups, advising leaders when the path isn't clear, and making calls with incomplete information. The communicators who will thrive in the next phase of work aren't the ones who resist AI. They’re the ones who use it to move faster on the mechanics, so they can spend more time on the decisions. The future of communications isn't about producing more content. It's about shaping what matters when it matters most. Our value was never only in the content we produced. It's in the judgment behind everything we do.

𝐀𝐈 𝐝𝐢𝐝𝐧’𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞 𝐦𝐲 𝐰𝐨𝐫𝐤. 𝐈𝐭 𝐜𝐡𝐚𝐧𝐠𝐞𝐝 𝐦𝐲 𝐯𝐚𝐥𝐮𝐞 𝐢𝐧𝐬𝐢𝐝𝐞 𝐢𝐭. A year ago, I thought AI would simply make me faster. What I didn’t expect was that it would make my role heavier, more visible, and more accountable. Speed became common. Judgment became rare. Working daily in the digital space, I started using AI the way most professionals do drafts, ideas, research, structure. The output was impressive. But within months I noticed something unsettling. Everyone could now produce decent work. The baseline moved up, and the question quietly shifted from can you create to can you decide what deserves to be created. 𝐓𝐡𝐚𝐭 𝐬𝐡𝐢𝐟𝐭 𝐜𝐡𝐚𝐧𝐠𝐞𝐝 𝐡𝐨𝐰 𝐈 𝐬𝐞𝐞 𝐯𝐚𝐥𝐮𝐞. Earlier, my worth was tied to execution: posts delivered, campaigns run, content produced. Now my worth is tied to thinking: • what problem actually matters • what tone is honest • what risk is acceptable • what should never be automated 𝐀𝐈 𝐜𝐚𝐧 𝐚𝐬𝐬𝐞𝐦𝐛𝐥𝐞 𝐬𝐞𝐧𝐭𝐞𝐧𝐜𝐞𝐬, 𝐛𝐮𝐭 𝐢𝐭 𝐜𝐚𝐧𝐧𝐨𝐭 𝐜𝐚𝐫𝐫𝐲 𝐜𝐨𝐧𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞𝐬. I see the same pattern across careers. Juniors are becoming faster, but seniors are becoming more responsible. Companies are not paying for keystrokes anymore. They are paying for trade-offs, cost vs quality, speed vs safety, creativity vs compliance. Those are human calls. Another uncomfortable truth I learned: AI exposes weak professionals faster than it helps strong ones. If someone relied only on templates, AI replaces them overnight. If someone relied on curiosity and domain depth, AI multiplies them. Today my workflow looks different. I spend less time producing and more time rejecting. Less time writing and more time deciding. The machine proposes, I dispose. That is a new kind of labor, invisible but decisive. 𝐓𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐫𝐢𝐬𝐤 𝐢𝐬 𝐧𝐨𝐭 𝐀𝐈 𝐭𝐚𝐤𝐢𝐧𝐠 𝐣𝐨𝐛𝐬. 𝐈𝐭 𝐢𝐬 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐨𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠. When people let AI choose tone, structure, and opinion, they slowly lose their own. Careers then become borrowed intelligence wearing a human face. My takeaway is simple. AI will not replace people who think. It will replace people who only produce. The future belongs to hybrid professionals, those who combine machine speed with human spine. So I’m curious, and answer honestly: 𝐇𝐚𝐬 𝐀𝐈 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝, 𝐨𝐫 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐲𝐨𝐮𝐫 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲? LinkedIn LinkedIn News India #AI #FutureOfWork #CareerGrowth #PersonalBranding #CreatorEconomy #CreateMomentum #Leadership

Fast Company just quoted me saying something controversial. The piece captures something I see every day: people think it's either AI or human skills. It's not. The future belongs to those who combine both. Grateful for being featured in their latest article on why AI skills have become the new gold standard for job seekers. (link to the full article incl podcast version in the comments) AI skills matter because they are now central to how work gets done. But AI can't replace what truly differentiates us: listening, building relationships, making judgment calls. When you master AI tools, you gain time and headspace to focus on what makes you irreplaceable. In my own business, AI became my operational backbone: it analyzes feedback, tests messaging, prepares me for coaching sessions, optimized whole workflows. My proprietary AI coach helps my coaching clients between sessions. But the human work, the listening, the connection, the meaning-making, that's what creates real value. AI gave me speed and better quality. Human insight opened doors to bigger stages and leadership conversations. That combination is what matters. Thank you Fast Company and Featured for spotlighting this message. The conversation about AI and careers needs more nuance, not more fear. How is AI changing your work? PS: This was an editorial feature, not a paid placement. Just wanted to clarify since I'm seeing more coaches and consultants pay for media mentions lately.

Corporate communications is entering its AI era — and it’s not about replacing communicators. It’s about elevating them. AI can draft faster, analyze sentiment in seconds, and personalize messages at scale. But it still can’t read a room, navigate organizational nuance, or build trust during uncertainty. That’s where communicators shine. The real opportunity? Let AI handle the repetitive work so humans can focus on strategy, storytelling, and leadership counsel. The future of corporate communications won’t be AI vs. humans. It will be AI + humans — moving faster, thinking deeper, and communicating more meaningfully than ever before. How are you using AI in your communications work today? #CorporateCommunications #InternalCommunications #AIinBusiness #FutureOfWork #Leadership

Have you noticed the turning point? AI isn’t just influencing the future of work — it is actively redesigning today’s workforce. Organizations are increasingly replacing entry-level roles with AI to gain speed, efficiency, and cost advantage. From a productivity standpoint, the logic is understandable. But the second-order effects deserve more attention. Across industries, junior hiring is slowing as AI absorbs work that once functioned as a proving ground for early-career talent. In some cases, “entry-level” now implies being job-ready on day one — a contradiction leaders should examine carefully. Because the real risk isn’t automation alone. It’s the quiet loss of the environments where professionals learn critical thinking, communication, judgment, and accountability — skills that remain stubbornly resistant to automation. At the same time, expectations are rising. Employers increasingly want AI fluency paired with distinctly human capabilities. That combination creates both tension and opportunity. Preparing talent for work that blends human judgment with AI augmentation will require intentional redesign — across hiring, training, and organizational structure. This shift isn’t approaching. It’s already underway. The question is no longer whether AI will reshape entry-level work. It’s whether we will evolve quickly enough to ensure early-career talent can still develop into the leaders and innovators our organizations will depend on. Are we eliminating the very roles that once produced our future leaders — or reimagining them? How is your organization approaching this?

AI is rewiring the "Culture Map" of the modern office. Without intentional intervention to ensure inclusive adoption, the technology risks automating existing biases and creating a lopsided economy where half the population is left behind in the transition to an AI-centric workflow. This article summarizes how artificial intelligence is fundamentally altering workplace dynamics and exacerbating the gender gap. While the initial conversation around generative AI focused on productivity and job replacement, the current landscape reveals a deeper transformation in workplace culture and social equity. AI is not merely a tool for efficiency; it is a cultural mediator that is reshaping how professionals communicate, persuade, and collaborate. However, these shifts are not gender-neutral, as they threaten to widen the gap between men and women in the professional sphere. Key Themes Communication & Feedback: AI tools prioritize explicit, structured communication over implicit "reading between the lines." This shift favors cultures and individuals who are naturally direct, while potentially marginalizing those who rely on high-context social cues. Additionally, the "diplomatic" and "constructive" tone of LLMs is training workers to provide softer, more synthesized feedback, acting as a neutral translator for multicultural teams. The New Gender Divide: Statistics from 2026 indicate a "double hit" for women: Exposure: Women are disproportionately represented in roles (clerical, administrative, and entry-level) most susceptible to AI automation. Skill Gap: There is a significant disparity in AI adoption: women are approximately 20% less likely to use generative AI tools than men, and account for only about 22-30% of the specialized AI workforce. Logic over Rhetoric: Workplace persuasion is shifting from deductive reasoning (the "art of the argument") to an inductive, results-first logic driven by AI-generated bullet points and concrete data cases. This rewards "technical firepower" and pragmatic outputs over traditional leadership styles. Strategic Implications To prevent a permanent "AI divide," organizations must move beyond software rollouts and focus on "change fitness." This involves: Redesigning Roles: Moving from "human plus machine" to "human times machine," where human judgment is the multiplier for AI output. Inclusive Reskilling: Actively bridging the gender gap by targeting AI fluency training toward women, particularly those in mid-career or entry-level positions most at risk of displacement. Valuing Human Judgment: As AI absorbs analytical tasks, competitive differentiation will shift back to uniquely human traits: empathy, relationship-building, and navigating ambiguity—areas where veteran female professionals, particularly those over 50, often excel.

Communications jobs are becoming more valuable because of AI. First it was The Wall Street Journal on storytelling. Now Business Insider and Amanda Hoover are making the same case in a recent article: the rise of AI has put a massive premium on strong communications professionals: ➡️ Anthropic has 3x’d the size of its comms team ➡️ OpenAI is paying 400K+ for comms roles ➡️ VC funds like Andreessen Horowitz have hired Erik Torenberg to lead the New Media team. AI slop is flooding the internet. But enterprises & brands need strong taste & judgement in their writing that AI doesn’t *quite* yet capture. For businesses - the ability to consistently produce high-quality copy is a competitive moat that builds connection with customers, amplifies the performance of owned and earned channels, and drives topline. It’s a counterintuitive insight (shouldn’t good writing be commoditized with GenAI?). Flooding the bottom of the market has put a premium at the top.