In collaboration with

Human-Centered AI for Nonprofits

Course Analytics Dashboard - August 2025 Cohort

240
Total Applications
240
Enrolled
72.5%
Want AI Help
90.8%
Have AI Experience

📊 About This Data

This dashboard presents survey responses from 240 nonprofit professionals who registered for TechSoup's Human-Centered AI course beginning September 18th, 2025. The course is now CLOSED at capacity, but the dataset provides extraordinary insights.

This represents the most current snapshot of nonprofit AI adoption available today - real data from organizations actively seeking to integrate AI into their operations. Unlike broad industry surveys, every respondent here has committed time and resources to AI education, making their current state and aspirations particularly revealing.

💡 Key Finding: Even among this motivated cohort, 63% report their organizations haven't even begun AI adoption - highlighting the sector-wide opportunity gap.

⚠️ The Organizational Reality Check

63% of participants report their organizations
are NOT EVEN AT THE BEGINNING STAGE
of AI adoption
Not Started: 63%
Beginning: 23%
Developing+: 14%

Why This Matters

These aren't passive observers - these are professionals actively investing 6 weeks in AI education. If 63% of motivated learners report zero organizational progress, the actual sector-wide readiness is likely even more concerning.

This represents both a massive challenge and opportunity: the nonprofit sector is at risk of being left behind in the AI revolution, but organizations that act now can gain significant competitive advantages.

Current AI Relationship

Top Organizational Roles

🚨 The "Shadow AI" Crisis

86% Using ChatGPT
as primary tool

What This Really Means

With 86% relying on ChatGPT and most organizations unlikely to be paying for enterprise accounts, we're witnessing widespread "Shadow AI" - employees using personal AI tools without organizational oversight, training, or safety protocols.

⚠️ Data Security Risk: Sensitive donor and client information potentially exposed
⚠️ Compliance Issues: No oversight on GDPR, HIPAA, or other regulatory requirements
⚠️ Quality Control: No standards or best practices for AI-generated content

While it's encouraging that nonprofit professionals are embracing AI, the lack of organizational implementation creates serious risks that must be addressed through formal policies and training.

AI Tools Experience - Detailed Breakdown

Success Visions: "Three Months Later..."

What participants hope to achieve after completing the course

Top Success Themes

Want AI Assistance?

Key Insights

📊
Strong IT Leadership: 21% are CTO/IT Directors, with another 23% being CEOs or Executive Directors, showing C-suite engagement.
🚀
Ready to Advance: 50% describe themselves as "Testing the waters" with AI, indicating readiness to move beyond experimentation.
🎯
Clear Implementation Goals: 72.5% have specific tasks they want AI to help with, from grant writing to process automation.
💡
Individual vs. Organizational Adoption: 86% use ChatGPT individually, highlighting the gap between personal experimentation and organizational implementation.

📊 3-Month Post-Course Success Vision Analysis

Executive Summary

Analysis of 240 nonprofit professionals reveals that course participants envision success primarily through organizational transformation (31.7%), practical AI implementation (31.7%), and ethical framework development (21.7%). With only 14% feeling confident with AI tools and 86% still relying on individual ChatGPT use, this cohort represents a critical inflection point for guiding strategic AI adoption across the nonprofit sector.

Primary Success Themes

Participant Readiness Levels

Specific Application Areas

Critical Insights for Course Design

The Policy-Practice Gap

While 25% of participants want to develop AI policies, only 21% are actively in implementation mode. This suggests a need for practical frameworks that bridge policy development with hands-on application.

The Confidence Gap

Only 14% of participants feel confident with AI tools, while 50% are "testing the waters." This presents an opportunity to build confidence through structured learning and peer support.

The Multiplier Effect

Many participants envision themselves as AI advocates within their organizations. The phrase "multiplied the impact" appears repeatedly, suggesting participants seek exponential rather than incremental improvements.

The Unknown Unknowns

Several participants explicitly state "I don't know what I don't know," indicating a need for comprehensive AI literacy before diving into specific applications.

Recommendations for Course Facilitators

🎯 Differentiated Learning Paths

  • Beginners Path: AI fundamentals, ethical considerations, confidence-building
  • Implementation Path: Practical workflows, tool selection, pilot projects
  • Leadership Path: Change management, policy development, scaling strategies

🛠️ Practical Application

  • Hands-on workshops for top 6 use cases
  • Templates for SOPs, policies, and roadmaps
  • Safe sandbox environments for experimentation

💡 Emotional & Cultural Dimensions

  • Address fears about AI replacing human judgment
  • Build exercises around empowerment
  • Include successful nonprofit AI case studies

🤝 Community of Practice

  • Peer learning between similar organizations
  • Mentorship between confident users and beginners
  • Post-course support networks

The Path Forward

With 63% of engaged learners reporting zero organizational AI progress, the nonprofit sector stands at a critical juncture. Organizations that begin their AI journey now - with proper guidance, ethical frameworks, and human-centered approaches - will not only survive but thrive in the evolving landscape. The question isn't whether to adopt AI, but how quickly organizations can move from awareness to action.

For Nonprofit Leaders

This data represents the current state of AI readiness in the nonprofit sector. Your organization's journey with AI doesn't have to be solitary - TechSoup's Human-Centered AI course provides structured pathways for teams to move from experimentation to strategic implementation.

Whether your team is among the 50% "testing the waters" or the 14% feeling confident, there's a clear path forward to harness AI for greater mission impact while maintaining ethical standards and human-centered values.