The Gates Foundation, Salesforce and New Nonprofit Funding Laws

Nonprofits are entering their own version of market adjustment. After years of emergency funding for the pandemic, major donors are withdrawing. Gifts are under pressure. Government contracts are tightening. And at the same time, quantifiable impact assessment tighten up. Large foundations and public agencies are asking tough questions about returns, sustainability and long-term sustainability.

Accelerated the latest funding trends, among them The Gates Foundation has expanded its focus In history-based offerings and the rise of pay-for-success models in public-private partnerships, this is the era of philanthropy.

The change is not subtle. Funders are increasingly structuring grants around milestones, stage funding and questionable outcomes, methods long familiar to early stage startups. Others are experimenting with pay-for-success models. Others are pooling grants, focusing large sums of money on organizations that can demonstrate growth in data and operational infrastructure.

For nonprofits built in an era of alternative funding—driven by narrative persuasion, partnerships and incremental programmatic growth—this is puzzling, but also an opportunity.

Calculation of the ratio

For decades, many non-profit organizations have worked on what might be called “evidence of effort”. Reports focused on activities delivered: food delivered, workshops, people reached. The impact was defined, often moving, but rarely constructed with the precision now expected in the private sector. Today, that model is under great stress.

Organizations such as the Bill and Melinda Gates Foundation and the Ford Foundation have long invested in research capacity, but what is different now is the broad adaptation of operational guidance across the funding ecosystem. Central funders are adopting dashboard-style reporting. Public institutions bind contracts and outcomes. Corporate philanthropy tools align grants with ESG metrics and corporate KPIs.

For example, Salesforce’s philanthropy organization now bonds its grants measurable ESG outcomeswhile the New York City Department of Homeless Services has restructured supplier award contracts who meet certain housing placement goals. And the federal landscape has made this calculation impossible to reverse. Trump administration in 2025 funding stops and the disbanding of USAID sent shockwaves through the nonprofit sector, forcing organizations that rely on government contracts to face structural vulnerability almost overnight.

Meanwhile, statistical advances have raised basic expectations of what a “good measure” looks like. If companies can track customer behavior in real time, why, funders ask, can’t social impact be measured in the same way?

Uncomfortable structural response. Most nonprofits have not been capitalized to build a strong data infrastructure. Upper limits, short-term grants and test-based funding have left organizations underinvested in technology and skills testing.

Driver problem

This tension is most evident in what many industry leaders are quietly calling the assessment trap. The organization is launching a new program with limited funding. It shows promising initial results. But once the initial funding ends, there is no follow-up money to build systems, hire experienced operators or invest in data infrastructure. The initiative is ongoing. A new driver starts somewhere else.

For venture-backed companies, pilots are experiments designed to generate rapid learning and inform scaling decisions. They are not conclusions. Capital is clearly structured to go from prototype to product market equity to growth.

In contrast, nonprofit pilots are often timeless proofs of concept—compelling but fragile. Take, for example, a children’s nonprofit that has been heavily dependent on AmeriCorps funding. When government grants were cut, the organization had to cut staff, scale back operations and rethink its model in order to survive. The lack of follow-on funding exposed the weaknesses of its infrastructure and forced a major change in strategy. The experience of that organization is not unique. In 2025, AmeriCorps faced off proposed significant cuts and operational restructuringleaving hundreds of organizations that have built systems around their funding in the same situation: forced to make emergency strategic decisions without the infrastructure to support them. The vulnerability was not confined to any one organization. It was a plan.

Recent withdrawals have exposed this vulnerability to scale. As donors put together portfolios, they ask which programs have real ways to scale. That question is especially difficult for organizations whose infrastructure has never been adequately funded.

Impact as infrastructure

Perhaps the deeper inflection point is conceptual: the scale of impact changes. In the private sector, companies treat finance, legal and technology as core systems. They are not add-ons, but rather a mechanism that enables the use of strategy.

Patagonia Footprint Chronicles the platform tracks environmental and social impacts throughout its supply chain, embedding analytics directly into supplier data systems to drive manufacturing decisions. Stripe, on the other hand, is using a financial infrastructure to facilitate and track investments in climate mitigation through its Stripe Weather system. The social impact rating goes in that direction.

This change will create winners and losers. Organizations that treat data like strategy—investing in collaborative systems, defining a small number of meaningful outcome metrics and building internal capabilities for performance analysis—will attract capital. They will be placed in multi-year, history-based funding areas. Those who continue to treat testing as an afterthought will find themselves out as sponsors hedge their bets. That volatility carries real equity risks that the sector’s most thoughtful financiers are beginning to face head-on. Smaller, community-based organizations and those serving the most marginalized populations are often the most underutilized of data infrastructure, meaning that a performance-driven funding model can hinder organizations doing the most difficult work in the most under-resourced areas. Acknowledging this tension is not an argument against rigor. It is an argument for sponsors to match their performance expectations with capacity building investments to make meeting those expectations possible.

There is a risk that the way of doing business can create an “all or nothing” pressure, where success can only happen if it is too big. Community outcomes are not quarterly wages, after all, and communities are not markets. But refusing to be strict is not a viable answer. The question arises as to whether non-profit organizations should take the initiative to decide which features to adopt, and on whose terms.

What is the meaning of first thought

Adopting a startup mindset for nonprofits means directing a mission that has measurable impact, and building the operational infrastructure to pursue that mission at scale on an ongoing basis. It starts with results over functions: defining the change your organization exists to create, not just the function it delivers. It means treating data systems and skilled talent as valuable investments rather than reporting. It means embracing experimentation, testing ideas with clear goals and refinements based on evidence rather than instinct. And when communicating with funders, it means pairing compelling stories with data-driven insights into growth and impact.

But the change in attitude cannot be one-sided. The structural problems that have left nonprofits unprepared for this era—caps, short-term grants, test-based funding with no measurement methods—are largely problems created by donors. The most forward-thinking financiers already understand this. They focus on standard multi-year performance support, capacity-building grants and long-term analysis horizons that give organizations a way to build performance-based financial rewards. A startup concept, well-implemented, requires movement on both sides of the table.

This is not about the commercial purpose of the metrics. It is about matching intention and operational intensity to improve in a very demanding funding environment. This is the time for philanthropy money. Organizations that take it that way—with rigor, flexibility and strategic clarity—will define what comes next.