What I Learned at the Microsoft Global Nonprofit Leaders Conference and Why It Matters for Your Nonprofit’s Future

By Sheri Chaney Jones, Founder and CEO, SureImpact

I just returned from the Microsoft Global Nonprofit Leaders Conference, and one theme kept surfacing in nearly every conversation, session, and hallway exchange. The nonprofit sector is entering a new phase. The tools are improving. Expectations are rising. And the organizations that adapt will look very different from those that came before them.

There was energy in the room. Leaders, technologists, and funders all seemed to recognize that something meaningful is shifting. The conversation has moved past whether data and technology matter. The real question now is how quickly organizations can build the foundation required to use them effectively.

At the same time, an article I read on the flight home reinforced what I was hearing all week. The funding environment that shaped most nonprofits is changing. Many organizations were built in a system that rewarded compelling stories, relationships, and steady program growth. That system is giving way to one that prioritizes measurable outcomes, scalability, and performance.

Taken together, these signals point to a clear conclusion. Nonprofits that treat data and impact measurement as core infrastructure will be the ones that attract funding and lead in the years ahead.

Nonprofits Are Still Early in the Data and AI Journey

One of the most striking insights from the conference was how early the sector still is in adopting advanced data tools.

Microsoft Fabric, the platform that powers SureImpact, has seen rapid growth in nonprofit adoption. Last year, only a few dozen nonprofits were using it. This year, that number has grown to around one thousand. That sounds significant until you consider the millions of nonprofits operating worldwide.

So, if you feel like your organization is behind, it is worth questioning that assumption. Most nonprofits are still in the early stages of figuring this out. The difference is that some have started building the foundation while others are still waiting.

That distinction matters more than it might seem.

Artificial intelligence and advanced analytics depend on structured, consistent, and integrated data. Without that foundation, even the most powerful tools cannot deliver meaningful insights. This is where many organizations face a gap. They want to use AI, but their data systems are fragmented or incomplete.

The opportunity right now is to close that gap before expectations rise even further.

A Funding Shift That Raises the Stakes

What I heard at the conference aligns closely with broader funding trends across the sector.

Funders are asking different questions. They want to see evidence of outcomes, not just descriptions of activities. They are structuring grants around milestones and measurable progress. Some are consolidating their portfolios, focusing resources on organizations that can demonstrate performance and scalability.

This shift mirrors how early-stage companies are funded. Capital is released in stages. Progress is tracked against clear benchmarks. Decisions are driven by data.

For nonprofits, this creates both pressure and opportunity.

Many organizations have operated in what could be described as a proof-of-effort model. Reports highlighted how many people were served or how many programs were delivered. Those metrics still matter, but they are no longer sufficient on their own.

Funders want to know what has changed. They want to understand outcomes and long-term impact. And they want to see that organizations have the systems in place to measure and improve those outcomes over time.

This is where the concept of impact as infrastructure becomes critical.

Why Impact Measurement Must Be Treated as Infrastructure

At the conference, I kept coming back to a simple analogy.

Your nonprofit’s technology ecosystem is like a kitchen. Each tool serves a specific purpose. You would not expect a single appliance to handle every task. Instead, you select the right tools for the job and make sure they work together.

Impact measurement should be viewed in the same way.

It is not a reporting task that happens at the end of a program. It is a system that supports decision making, improves performance, and strengthens your ability to communicate value to funders.

In the private sector, functions like finance and operations are treated as essential systems. They are funded, staffed, and continuously improved. Social impact measurement is moving in that same direction.

Organizations that invest in data systems, define clear outcome metrics, and build internal capacity to analyze performance will be better positioned for the funding models that are emerging.

Those that treat measurement as an afterthought will find it harder to compete for resources.

The Hidden Risk of the Pilot Cycle

Another issue discussed both at the conference and in broader sector conversations is what many leaders quietly call the pilot problem.

A nonprofit launches a promising program with restricted funding. Early results look strong. Then the funding ends, and there is no additional investment to build the systems or capacity required to scale.

The program stalls. A new pilot begins somewhere else.

This cycle has limited the ability of many organizations to grow their impact. It has also contributed to underinvestment in data infrastructure. Short term funding rarely supports long term system building.

As funding becomes more performance driven, this gap becomes more visible. Funders are asking which programs can scale and sustain results. That question is difficult to answer without strong data systems and a clear measurement strategy.

Breaking out of the pilot cycle requires a shift in how organizations think about investment. Data systems, talent, and infrastructure need to be part of the plan from the beginning.

Leaders Are Feeling the Pressure

It would be unrealistic to ignore the emotional side of this transition.

At the conference, I heard leaders express a mix of excitement and concern. There is enthusiasm about what AI and data can make possible. There is also anxiety about keeping up, questions about governance, and concerns about equity.

These reactions make sense.

When expectations rise quickly, organizations worry about falling behind. When new tools emerge, teams wonder how to adopt them responsibly. When funding models change, leaders think about sustainability.

AI will not replace nonprofit leadership. It will, however, change how work gets done.

It can reduce the time spent searching for data, reconciling spreadsheets, and building reports. It can surface insights that would otherwise remain hidden. It can support better decisions.

All of that depends on having the right data foundation in place.

A Defining Choice for Nonprofit Leaders

One phrase I heard repeatedly throughout the week stood out to me.

If you are not at the table, you are on the menu.

For nonprofit leaders, this speaks to the importance of engagement. Waiting for perfect guidance or complete clarity is not a viable strategy. The organizations that move forward will be the ones that experiment, learn, and invest in their capabilities.

This does not mean chasing every new trend. It means making intentional decisions about where to build capacity.

Start with your data. Assess whether your information is consistent, structured, and connected across systems. Identify the outcomes that matter most to your mission. Build the ability to track and analyze those outcomes over time.

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These steps create the foundation for everything that follows.

What This Means for the Future of the Sector

The nonprofit sector is entering a period where rigor and mission need to work together more closely than ever.

A focus on measurable outcomes does not replace the importance of storytelling. It strengthens it. Data provides evidence. Stories provide meaning. Together, they create a compelling case for support.

There are also important equity considerations. Organizations serving the most complex challenges often have the least access to resources for building data systems. If funding continues to shift toward performance based models, there is a risk that these organizations could be left behind.

This is where funders have a role to play. Capacity building support, multi-year funding, and investments in infrastructure can help level the playing field.

The responsibility is shared. Nonprofits need to prioritize data and measurement. Funders need to support the investments required to make that possible.

Where to Begin

If there is one takeaway I would offer, it is this.

You do not need to have everything figured out. You do need to start.

Look at your current systems. Identify gaps in your data. Clarify the outcomes you are trying to achieve. Invest in tools and processes that bring your data together and make it usable.

Platforms like SureImpact are designed to help nonprofits build this foundation. By integrating data, standardizing measurement, and simplifying reporting, organizations can move from fragmented information to actionable insight.

The nonprofits that lead in the next era will not be defined by size or budget alone. They will be defined by their ability to connect mission with measurable impact and to use that insight to improve and grow.

The shift is already underway. The question is how each organization will respond.