Adrian Brown’s Post

This reflection on Anthropic and Claude resonates deeply. It highlights something we don’t talk about enough: AI is not just a productivity tool it’s rewiring the culture of work. The shift from coding to “managing AI agents” is real, and it changes what technical expertise even looks like. Mentorship erosion is concerning, junior staff leaning on AI instead of senior colleagues risks weakening knowledge transfer and team cohesion. Skill depth atrophying is another hidden cost. It reminds me of the importance of practicing “without AI,” much like musicians still rehearse scales even if they’ll never play them on stage. And the social dynamics collaborating more with Claude than with colleagues raises questions about how trust, creativity, and human connection evolve in the workplace. The cultural transformation may ultimately prove more disruptive than the productivity gains. We need to intentionally design work environments where AI amplifies human potential without displacing the human fabric that holds teams and communities together.

This will be really interesting to watch. There’s been an almost unquestioning assumption in the business and political spheres that AI driven productivity gains are good thing, but the costs, in terms of social cohesion among other things, could be devastatingly high. As Neil Postman so rightly observed “technology giveth and technology taketh away”. https://lnkd.in/eyk52it9

Having been a chief of staff for tech teams, I’ve seen this firsthand. Engineers aren’t exempt from basic workplace psychology — they’re motivated by specific drivers, just like every one else. What gets a comms person excited is completely different from what drives someone in legal. The real question isn’t whether AI changes productivity (it does), but how we adapt our management and mentorship when the fundamental nature of work shifts this dramatically.

Here's the topics that will be hot in the very near future: 🤯 1 - Organizational Truth 🤔 2 - Empathy & Critical thinking education 😵💫 3 - Psychological power to predict and manipulate behavior I've traditionally been a futurist in thinking, so right now as people are starting to understand AI as the communication technology shift Ive been describing for the last 2 years and not a task performance one, I find my thoughts considering the next frontier and what strategy best prepares for it. Truth of your organizational data has not had enough value placed on it as experience and management were in place. As we move to agentify workforces, they will rely on the data that is provided - and with no controls over the quality of this in many organizations they will see erosion of truth and increased corruption from hallucination. How will you prepare in a hyper connected world of data, both valid and invalid. Empathy and Critical Thinking are required to get good results from AI, yet we've educated these still out of the workforce through multiple choice and process, "we've always done it this way mentality" becomes exponential with AI if critical thinking is not highly important I'll leave the last one for later, but these are topics that will consume conversation in the next few years. #CollaborationX

This is a great take. AI should augment our skills, not replace our humanity. By handling the repetitive analysis, it frees us up to focus on what matters: connection and creative problem-solving.

The strongest professionals I’ve met don’t fear AI. They use it as a mirror to understand themselves better and improve how they work with others. How do you make sure AI helps you sound more human?

Happy to share our latest blog post focused on Human-AI teamwork, authored by Aleksandra Siwek, Laura Kearney, and I.   "Teamwork Is King... Even when GenAI is involved: Reflecting on Dell'Acqua and colleagues' Cybernetic Teammate Study"   Dell'Acqua and colleagues' influential study at Procter & Gamble suggests that AI boosts productivity and innovation solution quality, with teams working alongside AI achieving the highest performance. While the results are promising, four critical gaps are identified that future research must address:   Task-Process Architecture: The study does not provide a detailed analysis of how humans and AI divide work and coordinate efforts across different task types (Generate, Choose, Execute, Negotiate).   Teamwork Behaviours: The study does not analyse mutual trust, shared mental models, mutual performance monitoring and other key features of effective teamwork.   Team Development: The study does not analyse how human-AI partnerships evolve over time through team formation, task-role development, team development, and team improvement phases.   Human Critical Leadership: There is insufficient focus on essential human functions like reflective oversight, ethical stewardship, and strategic vision that cannot be delegated to AI.   While GenAI may ultimately help to enhance team performance, understanding deeper team dynamics is crucial for designing sustainable human-AI collaboration in organizations. The framework we propose highlights the need for comprehensive analysis of this evolving workplace reality.   #AI #Teamwork #OrganizationalScience #HumanAICollaboration Link to blog post: https://lnkd.in/eQC5Z_A3

The workplace is changing faster than ever. AI is here to stay — but too many teams are struggling to balance technology with the human skills that actually drive results. Leaders hesitate to act in uncertain times Teams don’t know how to collaborate with AI, not against it Hybrid workplaces risk losing trust, purpose, and alignment That’s the problem. One solution? 𝗛𝘂𝗺𝗮𝗻 𝗕𝘆 𝗗𝗲𝘀𝗶𝗴𝗻. Our latest course that equips you to: ✔ Act boldly amid uncertainty ✔ Partner with AI as a genuine collaborator ✔ Build trust and clarity in hybrid teams ✔ Gain confidence to take initiative The future won’t be led by tech alone — it will be led by people who bring the best of humanity into the age of AI. 👉 Learn more: https://lnkd.in/ecPUeTKp Dale Carnegie Training

The workplace is changing faster than ever. AI is here to stay — but too many teams are struggling to balance technology with the human skills that actually drive results. Leaders hesitate to act in uncertain times Teams don’t know how to collaborate with AI, not against it Hybrid workplaces risk losing trust, purpose, and alignment That’s the problem. One solution? 𝗛𝘂𝗺𝗮𝗻 𝗕𝘆 𝗗𝗲𝘀𝗶𝗴𝗻. Our latest course that equips you to: ✔ Act boldly amid uncertainty ✔ Partner with AI as a genuine collaborator ✔ Build trust and clarity in hybrid teams ✔ Gain confidence to take initiative The future won’t be led by tech alone — it will be led by people who bring the best of humanity into the age of AI. 👉 Learn more: https://lnkd.in/eRmhgni8 Dale Carnegie Training

I think that Future-Skills are critical to keeping us relevant. Technology is evolving fast. Automation and AI are reshaping the workplace. But the most valuable skills of the future aren’t purely technical, they’re human. To thrive in the years ahead, professionals will need to master future-skills like: 1. Adaptability in learning, unlearning, and evolving in real time. 2. Digital Fluency that provides confidence with tools and platforms that keep changing. 3. Emotional Intelligence including empathy, collaboration, and leadership in a digital age. 4. Critical Thinking & Storytelling that turns data into insight, and insight into influence. The truth is the future of work won’t be about competing with machines. It will be about amplifying what makes us most human. The future belongs to those who build skills that can’t be automated. Have a good Friday!