Q1 2026 Social Impact Trends

Q1 2026 Social Impact Trends

TREND REPORT

NationSwell’s quarterly trend spotter provides impact professionals with visibility into the most noteworthy, timely, and material shifts in the field. For Q1 of 2026, our report explores the following six trends:

  1. Minneapolis ICE raids spark employee activism and minimalist business response
  2. OBBBA precipitating shifts in philanthropy, new corporate approaches
  3. Nonprofit anxiety around operational risks runs deep amidst legal and financial pressure
  4. AI adoption outpacing workforce readiness
  5. ESG notches a legal victory while confronting growing antitrust warnings
  6. Sustainability compliance remains a moving target for companies

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Q4 2025 Social Impact Trends

Q4 2025 Social Impact Trends

TREND REPORT

NationSwell’s quarterly trend spotter provides impact professionals with visibility into the most noteworthy, timely, and material shifts in the field. For Q4 of 2025, our report explores the following six trends:

  1. Food security draws mainstream attention amid government shutdown
  2. AI-driven layoffs hit tech and service industries, but overall employment impact remains modest
  3. Philanthropies and nonprofits are investing more in AI, but governance needs to catch up
  4. Political leaders continuing pressure on corporate leadership and civil society
  5. Sustainability efforts continue, but more quietly and with less accountability

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Five Minutes with… IBM’s Sara Link

As artificial intelligence reshapes how institutions operate, many nonprofits and public-sector leaders are grappling with a pressing question: How can AI be deployed responsibly and equitably in service of the public good? 

At IBM, that question isn’t theoretical — it’s central to how the company designs, governs, and advances its AI strategy across sectors. In a new resource developed in collaboration with NationSwell, Responsible Use of AI for Social Impact, IBM outlines a practical roadmap for responsible AI adoption that moves beyond high-level principles and into actionable guidance for organizations navigating capacity constraints, ethical considerations, and rapidly evolving technology. The report emphasizes AI literacy; governance as an enabler instead of a blocker; and a clear focus on augmenting, rather than replacing, human capability. 

For this installment of Five Minutes with…., NationSwell spoke with Sara Link — IBM’s Global Head of Employee Impact — about what it takes to operationalize trustworthy AI at scale and why government and social sector leaders must be equipped not just with tools, but with the systems and confidence to use them well.

We asked Sara how IBM is reframing responsible AI from a compliance exercise into a performance advantage, what meaningful AI literacy actually looks like inside an organization, and what wild success for ethical AI adoption could look like five years from now. 

Here’s what she had to say:


NationSwell: What do you see as most distinctive about IBM’s approach to responsible AI, particularly for nonprofits and social impact organizations that face capacity constraints?

Sara Link, Global Head of Impact at IBM: It’s encouraging to see so many responsible AI principles circulating right now; that level of focus and intentionality is important. At IBM, our approach centers on making AI practical, understandable, and genuinely useful in everyday work. Our belief is that AI should help people do their jobs better — not replace them, overwhelm them, or create confusion.

One of the key insights in the report is that responsible AI has to be realistic for organizations with limited time, staff, and capacity. Nonprofits don’t have extra resources or margin for error, and in many cases they don’t have deep technical expertise in-house. So responsible AI can’t just live in a policy document — it has to be built in a way that reflects those constraints. That means designing tools and governance structures that are usable, accessible, and practical from the start, so organizations can adopt them confidently and integrate them into their daily work.

NationSwell: Augmenting rather than replacing human capability is central to IBM’s view of AI. Can you share an example of what that looks like in practice, either at IBM or with partners?

Link, IBM: In practice, we think about AI as something that helps bring work to life — whether that’s surfacing information, spotting patterns, or saving time on repetitive tasks. But at the end of the day, people still make the final decisions, especially when judgment, fairness, or context matter.

At IBM, for example, internal tools like AskHR or AskCSR help employees find answers more quickly and efficiently. They streamline the process, but they don’t replace accountability. People are still responsible for what happens next. The goal is to enable better, more informed decisions — not to obscure or complicate them.

NationSwell: The report emphasizes foundational AI literacy. What does “good” AI literacy look like inside an organization, and how does that translate into better outcomes?

Link, IBM: Good AI literacy means people aren’t afraid of the tools, but they also don’t blindly trust them. It shows up when leaders and staff understand what AI can support and where human judgment still needs to step in.

You can hear it in the kinds of questions people feel comfortable asking: Does this actually make sense? Should we double-check this before acting on it? For example, in a nonprofit using AI to screen applications or triage services, literacy shows up when staff know how to review AI recommendations, recognize when something doesn’t feel right, and understand that the final decision rests with them.

That kind of literacy leads to better mission outcomes. It reduces errors, helps guard against bias, and builds trust with the communities being served rather than simply automating decisions without oversight.

NationSwell: How does the report reframe responsible AI governance as an enabler rather than a blocker? What is one practical first step an organization can take?

Link, IBM: When you lay out clear rules, it actually becomes easier to move forward. Clarity helps people understand what’s acceptable and what’s not. Without that clarity, uncertainty can cause hesitation or lead organizations to avoid using AI altogether. One of the strongest findings in the report is that governance doesn’t slow adoption; it accelerates it by removing ambiguity.

A practical first step is to build a simple pause point into an existing workflow — a moment where a human reviews and signs off before an AI-driven decision affects someone. It doesn’t have to be complicated. It can be as straightforward as asking: Does this outcome make sense? Would I be comfortable explaining this decision to the person it impacts?

Over time, those small, repeatable checks turn responsible AI from a written policy into a daily habit. And that’s what enables organizations to scale AI safely and confidently.

NationSwell: If you could change one thing about how funders currently approach AI in the social sector, what would it be?

Link, IBM: First, it’s critical for funders to recognize the importance of investing in organizational capacity; that’s the foundation. I would encourage funders to focus not just on funding AI tools, but on supporting people’s ability to use AI well over time.

Investing in technology alone doesn’t create impact if organizations aren’t prepared to work with it. Right now, many nonprofits are expected to figure this out on their own. They may receive funding to pilot AI, but not necessarily the support for training, governance, or long-term learning that makes those tools effective and safe.

Through IBM’s AI for Impact program, which we launched in late 2024, we’ve brought nonprofits together to share how they’re using AI, what questions they have, and where they see opportunity. A recurring theme has been the need for funding that supports both the right tools and the training required to use them responsibly. And research from the IBM Institute for Business Value shows that skills are evolving rapidly — 57% of executives surveyed expect today’s skills to become outdated by 2030. That pressure is even more acute in the social sector, where resources are already stretched.

The funders making the biggest difference are supporting AI readiness, not just adoption — investing in training, shared standards, and giving teams time to learn and adapt, not just deliver. I’d also encourage funders to make their grantees aware of programs like AI for Impact. Many of these resources are free and can help organizations and their leaders build the knowledge and confidence they need to prepare for what’s ahead.

NationSwell: If responsible AI adoption truly takes root, what might wild success look like for the sector five years from now?

Link, IBM: The vision of success, to me, is that AI makes work easier and fairer — not more stressful or confusing. If we can eliminate that sense of overwhelm and instead empower people to use their skills more fully, that would be a meaningful outcome.

In that future, people would understand the tools they’re using and feel confident explaining the decisions those tools inform. AI would help nonprofits do more good without eroding trust or weakening human connection. Most importantly, technology would support organizations in serving communities better — not get in the way.

That’s what wild success looks like: better outcomes for communities, more efficient pathways to get there, and trust and connection preserved throughout the process.

NationSwell: What have you personally learned or found inspiring as you’ve helped lead this work around AI? How has this journey informed your broader leadership in the corporate impact space?

Link, IBM: For a long time, I’ve focused on capacity building for nonprofits and on how the corporate sector and funders can partner more closely with them, providing the right level of support so they can better serve their communities.

What’s been most inspiring lately is the openness I’ve seen when nonprofits come together — the willingness to share ideas, build relationships, and solve challenges collaboratively. There’s a real energy in the room when leaders from across sectors are learning from one another and exploring what’s possible.

I saw that firsthand at a recent conference after speaking on this topic: A healthcare employee approached me and shared that she and her colleagues had been experimenting with AI tools to solve internal challenges, and they were eager to bring leadership into the conversation to explore the potential more formally. She ended up connecting with another healthcare system that was further along, helping to broker a conversation between them.

That kind of openness — being curious about what’s out there and willing to imagine what could be possible — is what excites me most. It’s that spirit of shared learning and forward momentum that will ultimately drive meaningful change.

NationSwell: Is there anything else from the report — or from your leadership perspective — that you’d like to share?

Link, IBM: As someone who doesn’t necessarily have an engineering or a technical background, what’s been especially inspiring to me is realizing that you don’t need deep technical expertise to ask the right questions or to begin this journey of continuous learning. You don’t have to be an engineer to engage meaningfully with AI.

Personally, this experience has shown me how much further we can take our work by building our skills, staying curious, and asking thoughtful questions. When we approach AI as a tool for strengthening connections and building stronger partnerships — rather than something intimidating or purely technical — it becomes incredibly energizing. That mindset has been one of the most exciting parts of this journey for me.

LinkedIn | Bridging skills & network gaps

LinkedIn | Bridging skills & network gaps

How LinkedIn is using its data and platform to help professionals overcome barriers to employment

The world of work is rapidly evolving. According to LinkedIn’s data, 70% of the skills needed for most jobs will have changed by the year 2030, creating an urgent and widening skills gap in today’s workforce. As swift technological advancements continue to reshape entire industries, this transformed landscape will be felt most acutely by those from underserved communities or backgrounds who already face barriers to professional development or upskilling opportunities.

In furtherance of the company’s mission to create economic opportunity for every member of the global workforce, LinkedIn’s social impact team works with professionals overcoming barriers to provide them with yearlong gratis memberships to  LinkedIn Premium, which includes access to LinkedIn Learning’s catalog of nearly 25,000 courses. By focusing on getting LinkedIn Learning into the hands of the communities who most lack access to upskilling opportunities, LinkedIn hopes to close the skills gap and provide professionals with the tools and training they need to level the playing field.

 

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Practical Applications for AI in Impact Work

Most impact leaders know AI is changing and reshaping many contours of our economy and lived experience. Fewer feel confident putting it to use in their day-to-day work.

On February 3, NationSwell hosted a group of peer leaders for a virtual roundtable focused on immediate, practical applications for AI on impact teams. Together, we explored how leaders are using generative AI – and increasingly agentic AI – to increase speed, clarity, and capacity in core workflows like reporting, communications, grantee engagement, operations, and more.

From day to day low-lift use cases to opportunities for mission delivery, the session surfaced plenty of actionable insights for implementing AI within teams and organizations; a selection of those insights appears below.


Key Takeaways:

Anchor AI adoption in user-centered design from day one. AI tools are far more likely to succeed when they are built with a deep understanding of end users, informed by diverse perspectives, and tested for usability. Grounding AI in user needs reduces failure rates and drives adoption, especially as many digital transformation efforts fall short.

Start with low-risk, high-return AI use cases to build momentum. Impact teams are already gaining value by using AI for summarization, synthesis, reporting, and more. These applications save time, require minimal technical lift, and help teams build confidence before moving into more complex AI-enabled workflows.

Use AI to augment human judgment, not replace it. The strongest applications position AI as a thought partner that accelerates analysis and surfaces insights, while leaving critical thinking and strategy to people. Reviewing outputs, checking sources, and applying human judgment remains essential to responsible use.

Embed AI into products and systems to reduce friction at scale. When AI is built directly into platforms, such as grantmaking and employee engagement, it can automate administrative work, surface patterns, and recommend next steps. This allows impact leaders to focus more time on mission-critical work.

Treat AI as a capacity multiplier in resource-constrained environments. With impact teams being asked to do more with less, AI is increasingly a necessity rather than a nice-to-have. Thoughtful adoption can expand organizational capacity, accelerate access to funding and services, and ultimately drive greater impact.

Apply advanced use cases of AI to unlock insights for decision-making. AI-powered analysis of geospatial and time-based data can help organizations anticipate risks, target interventions, and allocate resources more effectively. Whether modeling climate impacts, forecasting service demand, or tailoring workforce strategies, AI can be used to better understand needs and deliver more responsive, targeted support to your communities.

Unlock new capabilities from off the shelf tools.  Big unlocks don’t require developing a full stack AI solution. Fully leveraging the existing capabilities in off the shelf low/no cost LLMS, while protecting sensitive data and respecting organizational policies, present opportunities for major advancements in productivity and impact. Be sure to check out voice to text capabilities for braindumping, deep research modes for research and insights, and experiment with Claude for writing.

AI for Nonprofit Empowerment

AI for Nonprofit Empowerment

Nonprofits face unique challenges when it comes to incorporating AI in their work.

NationSwell’s latest report, AI for Nonprofit Empowerment, funded by Annie E. Casey Foundation, provides knowledge on how nonprofit organizations can use AI to streamline processes and improve day-to-day functions, while maintaining focus on the work that truly matters.


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Impact Next: An interview with Tata Consultancy Services’ Lina Klebanov

At a moment of inequality and division, who is advancing the vanguard of economic and social progress to bolster under-served communities? Whose work is fostering the inclusive growth that ensures every individual thrives? Who will set the ambitious standards that mobilize whole industries, challenging their peers to reach new altitudes of social impact? 

In 2025, Impact Next — an editorial flagship series from NationSwell — is spotlighting the standard-bearing corporate social responsibility and impact leaders, entrepreneurs, experts, and philanthropists whose catalytic work has the potential to shape the landscape of progress amid urgent need for social and economic action.

For this installment, NationSwell interviewed Lina Klebanov — Head of Corporate Social Responsibility for Tata Consultancy Services, North America.


Greg Behrman, CEO and founder, NationSwell: Tell us a little bit about your leadership journey — was there an early moment, a relationship, or an experience that galvanized your commitment to driving bold action?

Lina Klebanov, Head of Corporate Social Responsibility, Tata Consultancy Services: More than any other influence, my career path was inspired by my parents. They immigrated to the U.S. from Ukraine when it was still part of the Soviet Union and left behind everything and everyone, they loved to build a new life in America. Suddenly in a country where they didn’t speak the language or understand the culture, and had few, if any friends, they relied on the kindness of strangers and charitable organizations to get started. Their deep gratitude for their new-immigrant experience became a lifelong family value of giving back, and that spirit of service has always been part of me.

I carried that value and interest into my career planning, always intending to serve, but, when I was young, corporate social responsibility, or CSR, was an occasional activity of some companies. It was neither a defined career path nor a fully integrated strategy for business, so my search led me in other directions.

My original plan was to become a social worker, but, once I started shadowing cases, it occurred to me that I could be even more powerful helping create systemic change around the causes of so much of the personal and family crises I witnessed. That became my goal and, once concepts like corporate citizenship, community engagement and social responsibility emerged in my grad school experience, I saw my path clearly. 

My first real exposure to the power of CSR occurred during grad school. As a student in the NYU Robert F. Wagner Graduate School of Public Service, I had the opportunity to intern with the Morgan Stanley Foundation. Working in its Community Affairs department, I saw how its efforts bridged business, community impact, and social good. From that moment on, there was no turning back. After a short time working at a nonprofit, I returned to Morgan Stanley and eventually led the company to the launch of its largest global volunteer initiative in the company’s history.

Behrman, NationSwell: What is the “North Star” of your leadership style? What is it about the way that you lead in the space that makes you an effective leader?

Klebanov, TCS: My leadership style is centered on empathy, humility, and a commitment to nurturing my team. It’s important to me to support each member’s potential growth and professional development. I make sure to always prioritize my reports’ well-being and work hard to ensure that, no matter how busy I may get, I am always actively listening and supporting both individual team members and collaborating teams.

I believe that effective leaders serve the needs of others first, but that might also be the mom in me. I do have three children, and I like to think that I separate the family and business nurturing that I do, but, at the end of the day, I’m not entirely sure they’re all that different.

Behrman, NationSwell: Is there a particular program, signature initiative, or some facet of the work that you would like to spotlight for us that is driving outcomes for the work?

Klebanov, TCS: One thing that’s really encouraged me lately is the growing emphasis on collaboration. Across every network and association, we’re part of, people are coming together to tackle big challenges at the local, national, and global levels. It’s been a through-line in our thought-leadership work and in our K–12 STEM programs.

Our Digital Empowers initiative in particular focuses on addressing digital inequity — the root barrier that keeps many people from accessing education, civic engagement, opportunity, and economic mobility. Through TCS Digital Empowers, we’ve built a large, cross-sector network of partners poised to work together to advance opportunities by addressing digital inclusion, STEM education, and workforce preparedness. 

Early on, the bulk of our CSR work centered on raising awareness of the need for high-quality STEM education — back when most people didn’t even know what “STEM” stood for. Over the years, our leadership expanded into include corporate volunteering, diversity and inclusion in leadership, and women’s representation in STEM. We were part of the Million Women Mentors Initiative and have continued evolving as technological transformation accelerates and disparities widen. Today, our focus is on leveling the digital playing field. Through Digital Empowers, we’re bringing together private, public, and nonprofit partners to ask: How can we collaborate to build transformational opportunities for the current and future workforce and for Society, in general? 

On the K–12 education side — which I’m particularly passionate about — the inequities tied to ZIP codes and other social influencers are heartbreaking and still too often overlooked. The pandemic exposed these gaps, but many under-resourced students and schools still haven’t recovered. At TCS, we believe that if you can’t see it, you can’t be it — and you often need to experience it to understand what’s possible. Our two flagship STEM programs give young people a chance to envision themselves in roles they never dreamed of before — as effective problem solvers, STEM prodigies and global changemakers. In those moments, they have the potential to positively impact students’ academic and professional trajectories.

Go Innovate Together, known as goIT, launched in 2009, gives K–12 students hands-on opportunities to consider how technology can solve real-world problems. Supported by former teachers, TCS volunteer mentors, public school systems and more, the program has expanded from its U.S.-based origin to a recognized global initiative that has reached more than 330,000 students and counting, something I am incredibly proud of.

As technology evolved faster than classroom instruction, we launched Ignite My Future, a professional-development program that approaches kids’ technology awareness and skills from another angle. It helps educators integrate computational thinking into core subjects, from math and science to social studies and even PE. Professional development programming for teachers helps them be more effective in teaching computational thinking and Ignite My Future classroom resources bring learning to life in an innovative way. It closes the gap for teachers who might lack access to up-to-date training and resources or those who just want to rise above. 

We intentionally focus on school districts with the greatest need, and weave mentorship into everything we do — it’s our secret sauce. Combined with Digital Empowers, these programs create a holistic, systemic approach to closing the digital gap.

Behrman, NationSwell: Is there a particular facet of the work that you are leading that you think is particularly noteworthy or exemplary?

Klebanov, TCS:  For me, what is exemplary is that, across all of this work, our goal remains the same: helping students — regardless of background or ZIP code — gain the confidence and digital fluency they need to succeed in any career, in any industry, in a world where every company is now, in some way, a tech company. If you’re asking about my favorite things, I have to tell you: it’s the sports connection!

We are constantly looking for creative ways to bring technology to life for students and have found a wonderful and exciting avenue for that through our sports partnerships. As the Title Sponsor of the TCS New York City Marathon and a major partner in Formula E, with Jaguar TCS Racing, we’ve created hands-on experiential moments for students associated with both of these high-visibility sports experiences. 

A few months ago, in Miami, we partnered with a local nonprofit to bring middle school girls to a Formula E race, where they explored the technology—and computational thinking—behind Jaguar TCS Racing. They met an all-women panel of professionals working in the racing world—another field where female representation is limited—and had the chance to interview them and discuss what these role models love about their careers and just what it took to get there. Our GoIT TCS NYC Marathon Student Challenge, another example of how we merge STEM learning with real-world excitement, gave area students a chance to innovate for social good and compete with one another from the Marathon’s Expo pavilion. Winners of the digital innovation competition got to hold the finish line tapes and welcome race winners and finishers to the final steps in their achievement. The excitement of these K-12 students at those moments is palpable and I love being a part of that. 

Behrman, NationSwell: Of the socially motivated leaders you consider your peers, are there any whose work inspires you and whom you hold in high esteem?

Klebanov, TCS: I have so much respect for people in the social sector who do this work every day. They’ve devoted their careers to purpose — not just for the communities they serve, but for their colleagues through employee engagement efforts. And honestly, employee volunteer engagement doesn’t get nearly the attention it deserves. There’s so much pressure in this field to deliver, to maintain integrity, to prioritize quality over quantity. It’s hard work, and so many people do it with such heart.

There are too many leaders, colleagues, and friends I admire to name them all — but as a fun fact, I will just mention that our Tata Group founder, Jamsetji N. Tata, was named Top Philanthropist of the last century, with donations worth $102 billion — ahead of Bill and Melinda Gates and many others!

Behrman, NationSwell: Are there any resources you’d recommend — books, podcasts, Ted talks — that have influenced your thinking that might influence others as well?

Klebanov, TCS: 

Generally, I follow the sources that align with my values, but I also push myself to take in a diverse range of viewpoints. It’s not because I’m uncertain about what I believe in. I’m very grounded in that — but because empathy and humility matter. Trying to understand where others are coming from helps me see the fuller picture, continue learning and navigate this very chaotic world a little more gracefully.

The Workforce of the Future: Skills and Strategies for What’s Next

The pace of change in the workforce is high.  Artificial intelligence, demographic shifts, economic uncertainty, and other disruptive forces  are reshaping the jobs of tomorrow, redefining the skills employees need, and challenging employers to build stronger, more adaptable talent pipelines. 

On December 2, in partnership with our Workforce Innovation Collaborative, NationSwell hosted a virtual Leader Roundtable designed to bring together impact leaders across sectors to surface the most promising models, partnerships, and strategies shaping the future of work. Some of the most salient takeaways from the discussion appear below:


Key Takeaways:

Normalize many paths over one pipeline. The four-year degree can’t be the only story we tell about success; apprenticeships and tech training need equal visibility. When young people can stack paid work, credentials, and education in parallel, they build higher earning power and employers gain a real, renewable talent strategy instead of a nice-to-have program.

Treat talent as a system, not a series of programs. The bright spots aren’t isolated pilots, but sector-level models where industry, K–12, higher ed, philanthropy, and government rewire how they work together. When employers define skills, commit to hires, and co-fund shared infrastructure, training stops being philanthropy and starts being core business.

Make AI a muscle everyone builds instead of a specialty held by few. AI “readiness” requires weaving tools, experimentation, and ethics into every role, curriculum, and career stage. When learners and employees practice using role-specific AI in real workflows, they show up as operators and co-designers in a rapidly changing economy.

Design for a figure-eight career. The new reality is looping: people move into a role, come back for training, pivot to a new role, and repeat. Workforce systems should celebrate these shifts, provide ongoing upskilling, and build clear internal pathways.

Meet emerging workers where they are. Gen Z expects mobile-first, gamified, peer-driven experiences that help them explore, belong, and level up. Career hubs, points, leaderboards, reels, and mentors – especially when built by young people – translate opaque industries like technicians, data centers, and advanced manufacturing into tangible and desirable futures.

Center narrative, transparency, and trust in the AI era. There’s a growing gap between expert optimism about AI and everyday workers’ questions about surveillance, environmental impact, and job security. Leaders who listen continuously, speak plainly about how tools are used, and invite employees into shaping guardrails can turn anxiety into agency.

Build for scale by proving ROI and impact. Philanthropy can ignite innovation, but durable solutions hinge on employer investment tied to clear returns. When companies can see and measure how apprenticeships, scholarships, and AI-enabled matching drive productivity and retention, “workforce of the future” shifts from a social good project to a competitive advantage.

Q3 2025 Social Impact Trends

Q3 2025 Social Impact Trends

NationSwell’s quarterly trend spotter provides impact professionals with visibility into the most noteworthy, timely, and material shifts in the field. For Q3 of 2025, our report explores the following six trends:

  1. Corporations are quieter on ESG/DEI – and delaying some reports
  2. “One Big Beautiful Bill” has material implications for corporate giving strategies
  3. Values-driven public pressure is influencing reputations and sales
  4. Workforce development is surging as a strategic priority, driven by widening skills gaps
  5. Impact teams are increasing AI adoption while attention grows on need for ethical governance
  6. The U.S. is experiencing climate & ESG policy setbacks while global rules march on

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AI x Impact: Leading Practices, Applications, and Approaches

On November 18, NationSwell hosted a virtual Leader Roundtable dedicated to unpacking how artificial intelligence is transforming the way we work, communicate, and create impact. From advancing organizational efficiency to reshaping advocacy and service delivery, AI holds enormous potential — and raises equally pressing questions around ethics, equity, and governance.

Some of the most salient takeaways from the conversation appear below:


Key takeaways

Treat AI adoption as a culture-change initiative, not just a tech rollout. Invest in thoughtful change-management strategies: designate AI champions, embed AI into everyday workflows, and ensure all staff achieve at least baseline competency through training.

Build an AI Champion network to accelerate culture change. Identify early adopters across functions and empower them to model practical use cases, lead demonstrations, and mentor peers. Champions make AI visible and approachable, increasing the likelihood of shifting day-to-day behaviors.

Recognize that this moment requires upskilling and unlearning. Encourage teams to move beyond legacy workflows and reimagine how work gets done with AI as a strategic partner. Beyond technical training, this requires a mindset and behavioral shift that fosters adaptability and continuous learning.

Establish clear policies to guide responsible, mission-aligned AI use. Staff need clarity on what is encouraged, allowed, and off-limits. Transparent guardrails reduce anxiety, build trust, and empower teams to deploy AI confidently and ethically.

Enable each team to define AI applications relevant to their work. Functions such as philanthropy, marketing, compliance, and operations will leverage AI differently. Facilitating team-specific exploration uncovers meaningful use cases that improve workflows and drive impact.

Clarify AI’s sustainability footprint to remove barriers. Many hesitations arise from misconceptions. Provide accurate context on energy use, environmental impact, and organizational commitments, ensuring sustainability concerns do not hinder adoption.

Identify opportunities where AI can deliver strategic value. Look for high-volume, operational, or repetitive tasks where AI can save time, enhance rigor, and create consistency, freeing teams to focus on higher-impact work.