
Like many in the tech world, I'm constantly amazed by the rapid evolution of Artificial Intelligence (AI). But for non-profit organizations, the question remains: how can these powerful tools be harnessed for good? While countless articles tout AI's potential for fundraising, marketing, and member management, they often lack practical guidance. So, after chatting with some former clients and colleagues, I wanted to ditch the hype and explore some real-world implications of AI for the non-profit community.
Challenges:
IT Decision-Making Maze: Get ready to navigate a complex IT landscape. Soon, your existing tools will be infused with AI, adding a layer of complexity to your decision-making. From member management systems to finance software, every application will offer AI options (often at an additional cost). Deciphering which capabilities truly benefit your organization will be a continuous challenge. Staying on top of the ever-evolving AI landscape will require constant monitoring and a dedicated working group focused on your specific needs.
Cost Considerations: While free AI tools like ChatGPT and Bard exist, targeted solutions designed for your everyday productivity apps (think Microsoft 365 and Google Workspace) come at a premium. Microsoft's Copilot, for example, adds $30 per user per month to their already pricey E3 and E5 subscription plans. Google's Duet is similarly priced, though currently limited to large enterprises (keep an eye on costs…they change). Specific non-profit pricing remains unclear, and free trials won't be enough to sustain long-term needs. Be prepared for significant cost increases as AI becomes embedded in your existing applications.
The Rise of DIY Tech: The future of IT is self-reliance. New AI-powered productivity tools empower you to do more yourself, regardless of your preferred platform (Microsoft or Google or something else). From coding to search, AI assistants will be your partners (for a price, of course). This trend extends to application development. Your tech vendor might even be using tools like ChatGPT and Bard to code for you right now! Embrace the DIY spirit – learn to leverage AI assistants and explore purpose-built AI tools that allow you to develop and troubleshoot code yourself, cutting out the middleman.
Things You Can Do:
Adapting to AI requires a proactive approach. Here are some practical steps your non-profit can take:
Form an AI working group:Â Assemble a team of staff members with diverse skillsets to research and evaluate AI solutions that align with your organization's goals.
Develop an AI strategy: Define your priorities and identify specific areas where AI can add value. Prioritize solutions that address your most pressing needs and offer a clear return on investment.
Invest in training: Equip your team with the knowledge and skills needed to effectively utilize AI tools. Remember this will constantly change.
Start small and scale: Don't try to do everything at once. Begin with pilot projects to test and learn from implementing AI (like help with coding), then gradually scale up successful initiatives.
Take-Away:
The future of non-profits is intertwined with AI. While challenges exist, the potential benefits are undeniable. By approaching AI strategically and building your internal capacity, your organization can improve efficiency, impact, and sustainability. Remember, the key is to be proactive, informed, and adaptable. I leave you with this: Remember that AI is a powerful tool, but it's just a tool. The true power lies in your vision, your team, and your commitment to making a difference. AI is a tool to achieve your vision, not define it.
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