Using A.I. to Write Grants: Risks and Benefits

In the ever-evolving landscape of technology, artificial intelligence (AI) is making significant inroads into various fields, including nonprofit organizations. One area where AI shows considerable promise is in writing assistance. As nonprofits continually seek funding to sustain and expand their programs, the efficiency and effectiveness of grant writing can be a game-changer. However, like any technological advancement, using AI for this purpose comes with its own set of risks and benefits. In this blog, we will explore these aspects to help you make an informed decision about integrating AI into your grant writing process.

A balanced approach that combines the strengths of AI with the irreplaceable value of human insight and empathy may offer the best results for nonprofits seeking to enhance their grant writing process.

Benefits of Using AI for Grant Writing


AI can quickly analyze and synthesize large volumes of information, significantly reducing the time required to draft grant proposals. This allows nonprofit staff to focus more on strategic planning and program development.


AI can ensure that all grant proposals maintain a consistent tone, style, and format, which is particularly useful when multiple team members contribute to writing.

Error Reduction

Automated tools can minimize human errors, such as typos and inconsistencies, which can improve the professionalism of the proposals.

Customization and Personalization

Adaptive Learning

Advanced AI systems can learn from feedback and improve over time, continually enhancing the quality of grant proposals.

Risks of Using AI for Grant Writing

Loss of Human Touch

Emotional Connection

AI may lack the ability to convey the emotional and human elements of a nonprofit’s mission, which can be crucial in persuading funders to support a cause. Effective grant proposals often rely on compelling storytelling. AI might struggle to capture the nuanced and heartfelt narratives that human writers can provide.

Dependence on Technology

Confidentiality Breach 

Nonprofits often handle sensitive data, such as personal information about beneficiaries, financial records, and proprietary program data. When using AI tools, this data may need to be uploaded to third-party platforms, increasing the risk of unauthorized access or breaches. Ensuring that AI providers comply with robust data protection standards is crucial to maintaining confidentiality.

Compliance with Regulations

Nonprofits must ensure that their use of AI complies with relevant data protection regulations, such as the Accountability Act (HIPAA) in the United States. Non-compliance can result in legal penalties and loss of trust from stakeholders.

Data Quality

The effectiveness of AI in grant writing heavily depends on the quality of the input data. Inaccurate or incomplete data can lead to flawed grant proposals, which may undermine the credibility of the nonprofit. Regularly auditing data for accuracy and completeness is essential.

Manipulation Risks 

AI systems might inadvertently manipulate or misinterpret data, especially if they are not adequately trained or supervised. This could result in the misrepresentation of statistics or outcomes in grant proposals, potentially jeopardizing funding opportunities.


The use of AI in writing grants for organizations presents a mixed bag of opportunities and challenges. While the efficiency, grammatical accuracy, and timeliness of AI tools can greatly benefit nonprofits, it is essential to remain mindful of the potential downsides, such as loss of human touch, bias, and data security issues. A balanced approach that combines the strengths of AI with the irreplaceable value of human insight and empathy may offer the best results for nonprofits seeking to enhance their grant writing process.

By carefully considering these factors, nonprofit organizations can make informed decisions about integrating AI into their grant writing efforts, ultimately advancing their missions and achieving greater impact.