Hi. I’m Steph, and this is the first edition of Mission/Shift—a newsletter about how emerging technologies (especially AI) are reshaping the purpose, power, and practice of social change work.

By day, I work in nonprofit tech and program strategy—bouncing between AI implementation, systems design, and at times emotionally heavy work tied to survivor advocacy and digital safety. If that sounds like a weird mix, welcome to the reality of most people in the nonprofit world. We wear 12 hats, half of them unpaid (it's fine we're fine).

Right now, I’m preparing to attend the AI4 Conference in Las Vegas, where I’ll be talking with companies like Tavus to explore how AI simulation can support trauma-informed training for law enforcement and child protection professionals. I’m also hoping to connect with others who care about aligning AI development with mission-driven work—not just optimizing for engagement or efficiency.

So… AI Infrastructure?

Ok let’s skip the intro-level stuff. You already know AI is here, and it’s not going away. What we’re not talking about enough is what it becomes once it’s embedded: infrastructure.

Most of the nonprofit sector still thinks of AI as a shiny new app or a "super cool idea but not right now" pilot project. But quietly, AI is becoming something much deeper—a layer of infrastructure that supports (or disrupts) how we organize, fund, communicate, and deliver services.

When something becomes infrastructure, it stops being optional. It shapes decisions, behavior, culture. Think Wi-Fi. Think cloud storage. Think Excel (unfortunately).

If your org is still asking “Should we use AI?”, the better question might be: “Are we ready for the ways AI will reshape the ground we stand on?”

This Isn’t About Tools. It’s About Operating Models.

AI isn’t just adding another tech tool to your stack. It’s pushing us to reimagine how work happens—who does it, how fast, with what data, and toward what end.

For nonprofits, this isn’t a neutral shift.

We’re dealing with:

• Deeply sensitive content
• Power-imbalanced relationships
• Culturally rooted, trauma-informed program delivery
• Funding models that reward outputs over outcomes

All of which means AI adoption isn't just an “IT” decision. It's a strategic shift in how your organization understands its own identity.

Strategic Questions Nonprofits Should Be Asking Right Now

Let’s get real. If your nonprofit wants to use AI responsibly and meaningfully, someone in the room needs to be asking:

• What parts of our mission work could become automated? What parts must remain deeply human?
• Are we treating AI like a glorified intern, or as a co-pilot in service design?
• Who controls the data we’re feeding into these systems? And who gets to decide what success looks like?
• Are we building tech that mirrors harmful systems, or challenging them?
• Do we have the internal literacy to ask vendors hard questions—or are we just nodding along?

If AI Is Infrastructure, Then What?

This shift brings risk, but also opportunity—not just to move faster, but to build smarter, more equitable systems from the ground up. We could use AI to design workflows that are trauma-informed, multilingual, accessibility-forward, and culturally responsive… if we build intentionally.

But let’s be blunt: most nonprofits don’t have time to write policy on paper, much less AI use policy. That’s why conversations like this matter.

This newsletter won’t offer silver bullets or startup hype. Just honest, systems-aware thinking on what AI means for those of us trying to do good work in complex, under-resourced environments.

Coming Up Next

I'll share reflections from the AI4 conference, including conversations around AI simulation, nonprofit partnerships, and how vendors can (and can’t) support mission-aligned use cases.

If this resonated with you—or made you mildly uncomfortable in a productive way—subscribe to Mission/Shift. Let’s make sure the people shaping the future of AI aren’t just the ones building the models, but the ones rebuilding trust, dignity, and justice.