Every industrial revolution has reshaped family life. Steam power moved households from farms to factories. Mass production sent women and children into wage labor. The Internet transformed how a generation learns, plays, and connects. 

Now, artificial intelligence is entering classrooms, workplaces, and even clinics, bringing new forms of disruption and possibility.

If families are where economic shocks and technological fractures appear first, then leaving them out of AI governance is profoundly shortsighted. 

But families are not only early warning systems, they’re also sources of resilience and innovation. Across history, families have adapted creatively to each new technological wave. 

Good governance should not just protect people from harm, but also draw on their lived expertise to shape solutions that work in the real world.

The Convening

On September 17, Capita’s Family Policy Lab, the AI for Good Foundation, and Georgetown University’s Collaborative on Global Children’s Issues cohosted AI & Family Futures, a roundtable that treated AI as a governance test. 

Our aim was to begin charting a course that protects children, strengthens caregiving and community, and equips families as agents of change.

Fifty participants from philanthropy, academia, NGOs, and government gathered for opening panels featuring perspectives from James Hodson (AI for Good Foundation), Anne-Sophie Seret (everyone.AI), and Helen Oludele-Ajiboye (Nigeria’s Ministry of Education), before diving into parallel working sessions on care infrastructure, financing, civic engagement, and workforce resilience.

The Problems We’re Not Talking About

Walk into any policy meeting about AI and you’ll hear plenty about jobs, privacy, and national security. You’ll hear less about the single mother trying to understand her child’s AI tutoring app, the grandfather navigating algorithm-driven health care, or the families doing their best to put dinner on the table.

Families don’t just experience technological change, they register its impact first. When the economy shifts, families feel it in their grocery bills. When schools change, families adjust their daily routines. When new technologies arrive, families decide whether to use and trust them.

Yet those families have almost no say or agency in how AI is being built or governed.

What We Heard: Five Big Challenges

Challenge 1: Funding Doesn’t Yet Build What Families Actually Need

Funding for AI is growing fast. Governments, philanthropies, and tech companies are investing in everything from education tools to health diagnostics. But much of that capital is missing the systems that support families most directly.

Right now, funding tends to flow in two directions:

• Time-bound pilots, promising but disconnected, rarely given the support to scale
• Large commercial platforms, optimized for efficiency and profit, not caregiving, trust, or long-term resilience

What’s missing is the middle ground, the space where early-stage solutions can grow into lasting infrastructure, embedded in real communities and built for impact over time.

It’s also about time horizons and collaboration. Short-term grants can spark innovation, but broader deployment requires patient capital and cross-sector partnerships; technologists, educators, caregivers, and funders working together from the start.

Helen Oludele-Ajiboye, from Nigeria’s Ministry of Education, shared the example of AprendIA, a chatbot that helps teachers in conflict-affected areas via WhatsApp. It works because it meets people where they are, on platforms they already use and trust.

But to scale something like AprendIA, to adapt it, embed it, and make it reflect community values, requires a different kind of investment. One that values long-term outcomes over quick wins, and centers the people and institutions that make these tools work in practice. 

To close this gap, we need to structure public and private spending—through grants, procurement, and investment rules—in ways that reward investments in caregiving, resilience, and trust. Treating family well-being as central to economic progress.

Challenge 2: AI must support care, not be used to replace it

Then there’s care itself, the daily work of raising children, supporting elderly parents, and keeping families healthy.

AI can help. It can give overworked teachers better tools, connect rural families to health information, or help overwhelmed parents find the resources they need. 

But it can also go wrong in many ways. Imagine your child forming an emotional attachment to an AI companion as their first friend, or algorithms making decisions about your family’s needs without understanding your values.

The risk of AI companions that mimic human feelings raises profound questions about attachment, empathy, and identity formation, especially in the earliest or elderly years. Machines must support human relationships, not substitute for them.

Families already know where the red lines should be. They just haven’t been asked.

Challenge 3: The explosive nature of the future of work

Everyone talks about AI taking jobs, automating tasks, replacing workers, boosting efficiency. But what we heard in this conversation was something more nuanced: AI isn’t just changing what jobs exist, it’s changing what work means.

Jobs that rely on human connection, like teaching, nursing, and caregiving, have long been seen as protected from automation. 

But the rise of relational AI challenges that assumption. 

If machines can mimic empathy, conversation, or emotional support, what happens to the roles that rely on those very qualities? And if emotional intelligence becomes more valued than processing speed, how do we prepare the next generation for that shift?

This isn’t just about preserving employment, it’s about rethinking the purpose of work itself, reimagining the kind of life and culture we want to cultivate.

Regardless of how technology evolves, one thing that remains steadfast is that the future of work remains inseparable from the future of care.

Challenge 4: Governance Without Family Representation

We also confronted the hard truth that most governance happens without the people most affected by the changes ahead. AI should be designed with families in mind from the start, not retrofitted later.

We likely don’t need new international frameworks. UNESCO has ethics principles. The UN has children’s rights conventions. The OECD has AI guidelines. 

What we need is to activate these frameworks where families actually live and make decisions, in schools, hospitals, social services, and workplaces.

And civic engagement means creating space for families to speak for themselves. In many workplaces, for example, AI is still being introduced to workers, not with them, rolled out through top-down decisions with little room for reflection or input.

AI impacts how people spend time, access care, earn income, and manage daily life. If technology is reshaping the environments where we work, learn, and care, then families must have a voice in how those changes unfold.

We need to build meaningful opportunities for participation, and the oversight tools to back them up. That means listening to parents, grandparents, and teenagers, not just technologists, regulators, or CEOs.

Challenge 5: Collective Agency

Perhaps the deepest undercurrent of the conversation was the question of agency. If families are the early warning signal, the real challenge is whether families are meaningfully connected to how decisions are made.

Children in particular are treated in policy and product design as if they exist apart from the adults who care for them. In reality, their safety and flourishing are inseparable from the broader fabric of families and their communities.

Civil society coalitions, faith-based advocates, unions or other worker organizations, and frontline organizers must be given tools to push back against blanket technological solutionism and misleading claims. 

When voluntary standards fall short, tools like strategic litigation, transparency campaigns, and inclusive oversight bodies become critical levers of accountability. 

This is how families can move from being subjects of faraway governance choices to shaping their future themselves.

Three Potential Ways Forward

By the end of our conversation, three priorities had emerged:

Ideas and standards that start with families. Instead of retrofitting family-friendly features onto consumer-designed systems, we need to begin with children and families in mind. What would AI look like if we designed it first for a five-year-old, then scaled up?

Coalitions that cross sectors. The people building AI and the people living with it need to be in regular conversation. That means bringing family-serving organizations—schools, pediatricians, parenting support, and community centers—into governance discussions alongside technologists and regulators.

Structure market incentives that reward what we value. Tax policy, procurement rules, and investment criteria should prioritize outcomes like caregiving support, community resilience, and children’s well-being. To govern AI wisely, we need new measures of financial progress that reflect what actually sustains families and societies.

What Happens Next

The AI & Family Futures Roundtable marked a first step in reclaiming agency over a technological revolution already reshaping daily life. 

The workshop made clear that parents are struggling to understand their own, let alone their children’s, digital journey. Workers are wondering if their skills will matter in five years. Communities are trying to hold on to their values while a whole new world around them accelerates. 

Participants emphasized that the task now is to design AI that builds a future where technology supports human flourishing, intergenerational connection, and shared responsibility.

Families must be recognized as active agents whose well-being is inseparable from the stability of society itself. Viewing policy through that lens opens new pathways for governance, financing, and design.

We can either let this transformation happen to families or equip families to shape it. The choice is ours, but not for long.

Elana Banin is a Visiting Fellow at Capita.