What happens to humanity when everything becomes intelligent?

Hi ladies,

This week, ALL EYES ON US brought together women working across AI, academia, entrepreneurship, and creative industries for a conversation about the future of AI – but the conversation very quickly became a conversation about us.

As intelligence becomes increasingly accessible, the questions around AI are becoming much more human: how will it change the way we think, choose, create, trust, and understand ourselves?

Here are some of the ideas that stayed with us after the conversation: “What happens to humanity when everything becomes intelligent?” 

AI is creating a crisis of trust in content. As it becomes harder to distinguish what is authentic, human judgment and critical thinking become increasingly important.

The value of expertise is shifting. Knowledge itself is becoming more accessible, so the differentiator is moving from what you know to how you think and how you apply what you know.

The ability to ask good questions becomes a critical skill. In an AI-enabled world, successful people may be distinguished less by having the answers and more by knowing what to ask.

AI can make us better choosers. When intelligence and information become abundant, our role increasingly becomes evaluating options, making judgments, and deciding what actually matters.

AI changes the definition of scale. Individuals and small teams can accomplish things that previously required significantly more people, time, and resources.

AI as the “third mirror.” We have traditionally understood ourselves through two mirrors: self-reflection and feedback from other people. AI introduces a third – an external system that can reflect our thoughts, patterns, assumptions, and behaviors back to us.

But can we still feel and understand ourselves through all this technology? As AI becomes more embedded in our lives, maintaining our own agency – rather than outsourcing our thinking and decisions – is essential.

Women need to play a larger role in shaping AI. Greater representation can help identify and reduce bias in AI systems and bring a broader range of perspectives into how the technology is designed, deployed, and regulated. Emotional and social intelligence are particularly important as AI increasingly affects human behavior and decision-making.

Look for where AI can create genuinely new value. Rather than simply adding AI to existing processes, identify what AI makes newly possible and build solutions around those opportunities.

One of the women in our community, Sasha Vyshynska, was taking notes throughout the conversation and shared the question she was left with:

One idea from Sheena particularly resonated with me: they grade students on the quality of their prompts and the questions they ask AI to reach an outcome, rather than grading only the final outcome.

Maybe that is one of the shifts worth paying attention to. For most of our lives, we were taught that intelligence meant knowing the answer. In a world where answers are becoming abundant, perhaps intelligence will increasingly be defined by the quality of the questions we are capable of asking.

What question arises in your mind when you read all this?