Remove ChatGPT Remove Demographics Remove Proposal
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What 2025 Grant Trends Are Teaching Nonprofits

Grant Writing Made Easy

With public funding in flux, private foundations shifting priorities, and technology changing how proposals are crafted and reviewed, nonprofits need way more than strong writing to stay competitive. AI tools like ChatGPT, Grammarly, and Notion are now standard in nonprofit offices. Verify everything. We’ve got you covered.

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What If You Never Had to Start a Grant from Scratch Again?

Grant Writing Made Easy

Have you ever stared blankly at your computer screen, feeling overwhelmed and frustrated by the thought of writing yet another grant proposal completely from scratch? Missing the opportunity to refine your narrative over time and losing valuable insights that could strengthen future proposals. No problem.

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Reimagining equity with AI: What philanthropy can do

Candid

In the nonprofit space, large language models like ChatGPT can support overworked staff that operate with limited resources. According to a Candid survey , 23% of grantmakers say they dont accept AI-generated grant proposals. In addition, concerns about authenticity and trust can present obstacles to AI adoption.

AI
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AI at Candid: Powering technology to support the sector’s lasting success

Candid

When ChatGPT launched late last year, it widely became an instant sensation for its uncanny abilities to produce human-like text. Generative AI products, such as ChatGPT, are examples of a branch of AI called machine learning, which is concerned with learning from data to surface trends and predictions.

AI
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Harnessing the Power of WebChatGPT for Research Integration

Grant Writing Made Easy

AI-based language models such as ChatGPT have been assisting grant writers with their tasks, making the process more efficient and effective. However, ChatGPT alone has certain limitations when it comes to incorporating real, relevant, and timely research. These limitations include: 1.

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How to be efficiently trendy  

Candid

As we experience an ongoing shift toward equity-centered grantmaking, some foundations are seeking demographic data on their grantees and nonprofit communities to track, measure, and make informed decisions about the diversity within their grantmaking portfolios. Or will the biased side of generative AI become more dominant?