The Mission/Shift Begins

Why This Newsletter Exists

The question isn't whether nonprofits should use AI. That debate is largely settled. The real question is how quickly nonprofit teams are adopting AI and fundamentally re-thinking their workflows.

Most AI content is written for tech companies. It assumes you have a data team, a budget for experimentation, and time to fail. Nonprofits don't have those luxuries.

Mission/Shift exists to bridge that gap. Practical guidance for people doing mission-driven work who want to use AI responsibly, without getting lost in the hype.

What We Mean by Human-Centered AI

Organizations and regulators must ask not just "Can we automate this?" but "Should we?" — acknowledging that sometimes the most ethical choice may be not to use AI at all.

Human-centered AI isn't about making technology friendlier. It's about keeping humans in control of the decisions that matter. It means:

• AI augments human work, it doesn't replace human judgment
• The people affected by AI systems have a voice in how they're designed
• Transparency and accountability are built in, not bolted on
• Speed is never more important than getting it right

The EY Work Reimagined Survey 2025 found that 63% of employees are more likely to embrace AI when they understand how it's used and retain override control.

The One Question

Before your team adopts any new AI tool, ask this:

"Who benefits, who might be harmed, and how will we know?"

That's it. If you can answer that question clearly, you're ready to move forward. If you can't, you have more work to do.

This question forces you to think about:

• Who benefits: Is this actually solving a problem, or is it a solution looking for a problem?
• Who might be harmed: What are the risks to staff, clients, donors, or the people you serve?
• How will we know: What does success look like, and how will you measure it?

What's Coming

In the months ahead, we'll cover:

• How to write an AI policy people actually follow
• Building AI-ready culture without the hype
• When speed becomes a liability
• Practical frameworks for evaluating new tools
• Case studies from nonprofits doing this well

This is the beginning. Let's figure it out together.