“AI is taking our jobs” is a false binary.”
The conversation around artificial intelligence currently feels trapped in a binary loop. We hear that AI is either the ultimate savior of our productivity or an existential threat to our employment, and leaders often feel pressured to adopt these tools at breakneck speed, forcing them into a cycle of command-and-control mandates.
This high-pressure approach often ignores the most important factor in any technological shift: the people who use it. The real risk isn’t the machine, it’s the lack of human agency in the design process. Julia and I discuss that when we treat AI as a neutral tool, we ignore the biases baked into its development. The most successful leaders I observe aren’t just deploying software. They are facilitating spaces where teams define the problem before jumping to the tool.
If you aren’t asking “Who gets to shape this technology?” you are likely missing the most critical part of your innovation strategy. True progress requires shifting from automated efficiency to human flourishing.
The future of AI is not predetermined. It is a work in progress that is being written by our choices today, and by shifting our focus from the speed of adoption to the quality of our human interactions, we can build systems that truly serve us. We must move toward a future where technology supports human flourishing, and that requires us to maintain our agency, voice our values, and build together with intention.
The most important shift we can make is moving from “AI adoption” to “purposeful design.” We often treat technology like an inevitable wave that just washes over our organisations. Instead, we need to ask what our specific goals are as human beings. Only after we define our purpose can we look at whether a tool actually supports that vision.
Practical change happens when we foster communities of practice. You don’t have to be a tech expert to have a say. By finding peers and sharing what is working—and what is not—you build the confidence to push back when a tool doesn’t align with your values. It’s about creating those small pockets of sanity and collaboration, even within massive, fast-moving systems. The goal should never be to automate the human out of the loop, but rather to utilise AI to strip away the bureaucracy and ego that keep us from collaborating effectively.
When we prioritise the human experience, we ensure that the technology we deploy today serves the sustainable, equitable goals of tomorrow.
What is one way your team has pushed back against “tech-first” thinking to ensure better outcomes?
The main insights you’ll get from this episode are :
- Bringing different disciplines and approaches together to build a positive future for everyone.
- What are we trying to fix? Who diagnosed the problem? Who is building the tech? Whose visions of the future are we receiving?
- Social entrepreneurs seek to have impact by tackling systemic problems, but they get very little visibility.
- Showcasing this non-mainstream approach importantly brings hope and optimism.
- To shift the paradigm of fear around AI requires remembering that the direction is not fixed and a community of changemakers take a different view.
- Providing a forum for things to happen via communities of practice creates a foundation to build on.
- There is great potential in the tech but it must be shaped correctly based on shared values and a specific understanding of the benefits.
- This requires courage and permission to share and ask questions about AI and its use.
- Women tend to bring a different approach, e.g. careful, impact-driven, listening, empathetic.
- Managing the speed and narrative of AI is pivotal – humans still need to put in the work for it to be the gamechanger we want.
- AI adoption is about the transformational element and the promise of being able to do things differently.
- There are no quick fixes, and a more nuanced approach is increasingly gaining ground (to formulate a strategy to present to decision-makers).
- The future is not determined, there is no certainty, which gives room for influence – we are all building the future, but this requires trust.
- We must challenge this uncertainty, tell AI what we want support with, and ask the right questions: what are the trade-offs? what do we feel comfortable with?
- First formulate the goal and then determine how can AI help us realise it, not the other way round.
- Vital to focus on human flourishing, take a long-term view, be sceptical about promises and take time to develop AI.
find out more about Julia and her work here :
