I don’t know about you but I don’t come to work to be efficient. But scroll through Linked In at the moment and you’d think that was the only goal of the modern company in the age of AI. I’m not sure I can take another “Here’s how I used AI to cut time, cut cost or cut heads to deliver xyz” style Linked In post....
It is much more important to me to come to work to create impact, to add some value, and to help teams and clients do hard things that help them solve problems or grasp opportunities. And work has value in and of itself as well …the daily interactions with like minded inspiring people , the satisfaction from working together as a team, the thrill of being in “flow” together with others working on things, the shared experiences of facing adversity and winning together, the chance to think creatively and intellectually….these are some of the things that give life meaning. Work has intrinsic value in our lives regardless of the end product or output.
I’d love it if we found ways of using AI that were more fun, and inspiring and not just about cutting time and corners……what if AI created more work, not less, and that work was more rewarding and impactful as a result? And what if AI took us places we couldn’t go alone, and helped us create even more impact than was possible before. What if instead of using AI to work faster, we used it to work more thoughtfully, more creatively, more courageously? What if AI helped us have better conversations, explore bolder ideas, and understand each other more deeply?
Here are six principles I’ve been using, a kind of manifesto to reclaim AI as a tool for human flourishing rather than human replacement. I’d love to know what yours are?
An AI Manifesto for human flourishing
1. Cross-Pollinate Wildly
Use AI to spot patterns and connections across vast domains, suggesting solutions that combine insights from completely unrelated fields
Stop asking AI to optimize within your industry's existing frameworks. Instead, feed it problems from marine biology, ancient philosophy, jazz improvisation, or urban planning alongside your business challenges. Ask it to find the hidden connections. How might the way mycorrhizal networks share resources in forests inspire new models for knowledge sharing in organizations? What could customer service learn from the improvisational principles of "yes, and..."? AI excels at seeing patterns across domains that our categorized thinking misses. Use this to break out of industry echo chambers and discover solutions that exist in the spaces between disciplines.
2. Ask Questions That Spark Fire
Train AI to ask better questions that ignite excitement about wrestling with complex problems together, rather than providing answers
Transform AI from an answer machine into a question catalyst. Train it to recognize when your team is settling for obvious solutions and interrupt with provocations that reignite curiosity. Instead of "Here's the best marketing strategy," AI might ask "What if your customers were trying to avoid your product - what would that tell you about their real needs?" or "If this project failed spectacularly, what would be the most interesting way for it to fail?" Great questions create energy, spark debate, and pull teams into deeper engagement with problems. Use AI to become a master of the productive provocation.
3. Build Your Intellectual Opposition
Create AI systems that think nothing like you, trained to argue against your assumptions and represent radically different worldviews
Most AI systems amplify our existing biases. Flip this. Deliberately train AI to disagree with you, to embody perspectives from different cultures, generations, and ideologies. Create an AI that argues from a perspective of radical sustainability when you're focused on growth, or one that champions individual agency when you're thinking systemically. Not to be contrarian for its own sake, but to stress-test your ideas against worldviews you might never encounter. This AI opposition becomes a thinking partner that prevents you from getting trapped in your own assumptions.
4. Create Safe Spaces for Dangerous Ideas
Use AI as a laboratory for exploring emotional dimensions of challenges without the vulnerability of immediate human judgment
Before you share a controversial idea with your team, work it through with AI first. Not to make it safer, but to make it stronger. Explore the emotional landscape: How might this idea land with different personality types? What fears might it trigger? What hopes might it awaken? Use AI to simulate difficult conversations, test emotional resonance, and understand the human impact of your ideas before you expose them to real human judgment. This isn't about avoiding conflict - it's about engaging with it more thoughtfully and skillfully.
5. Simulate Stakeholder Hearts
Help AI understand and simulate how different people might feel about proposed changes, not just how they might react
Move beyond user personas to emotional personas. Train AI to understand not just what different stakeholders do, but what they fear, what they hope for, what keeps them awake at night. When proposing a new policy, don't just ask "Will this work?" Ask AI "How will this feel to a single parent juggling three jobs? To a recent graduate drowning in debt? To someone who's been with the company for 20 years?" This creates solutions that work not just logically but emotionally - that honour the full humanity of everyone they touch.
6. Slow Down to Speed Up
Use AI to create productive friction, generating questions that force examination of why you want to create something before you create it
In a world obsessed with moving fast, use AI to help you move thoughtfully. Before launching into execution, have AI generate questions that force you to examine your intentions: "What problem are you really trying to solve? What are you trying to prove? Who benefits if this succeeds? Who gets hurt if it fails?" Create AI systems that act as wise counselors, slowing you down long enough to ensure your speed serves a purpose worth pursuing. Sometimes the most powerful thing AI can do is help you decide not to do something.
What do you think of these? Can they help us find a more interesting use of AI? Have you got any methods you use or see any examples of this already happening?