Fundraising Talks
News and updates from the USM Office of
Advancement Research
| |
| | This blog post from AGB offers insight into artificial intelligence and language learning models (LLMs) which are transforming higher education by enhancing teaching, research, and administrative tasks. The blog discusses how LLMs can improve decision-making by providing insights from data, automating routine processes, and ensuring transparency. However, there are concerns regarding the privacy of sensitive data and the accuracy of information provided by public LLMs. To address these issues, some institutions are developing private LLMs, which can safeguard proprietary data and offer customized insights for governance and decision-making. Despite the challenges of creating and maintaining a private LLM, such as slow query responses and training difficulties, institutions can leverage existing AI tools like AGB Board Bot for governance tasks. AI-powered LLMs offer significant benefits, but developing a private model is often impractical without expert support, and using pre-existing AI solutions may be a more efficient approach for most institutions. Click here to read the full article.
| |
In the wake of Trump's 2024 election victory, fundraising strategies for nonprofits, especially those aligned with liberal causes, are seeing a return of "rage giving," where emotional reactions to political events drive donations. In the medium term, nonprofits should focus on high-net-worth giving, leveraging assets like stocks, crypto, and donor-advised funds (DAFs), which have become major sources of philanthropic funding. Foundations will also play a crucial role, with potential grants focused on democratic processes, workforce development, and community resilience. For the long term, nonprofits should tap into planned giving, as asset growth and demographic trends suggest a windfall from estate donations. Overall, fundraisers should stay focused on strategic planning across different time horizons to capitalize on these opportunities. Click here to read more. | | |
In 2025, corporate social responsibility is expected to shift due to changing political dynamics and conservative movements. Companies are likely to focus more on "belonging" rather than diversity, equity, and inclusion. The emphasis on environmental, social, and governance concerns may shift to prioritizing "security," with climate risks framed as a national security issue. Employee engagement will also change, as more companies mandate in-office work and encourage increased volunteering and community involvement. CEOs are expected to be less vocal on social issues, focusing instead on maintaining favor with the new administration. Lastly, corporate philanthropy may decline in favor of sponsorships, which are less subject to public scrutiny and reporting requirements. Click here to read the full article. Click here to read more. | | |
|
Small advancement teams at colleges and universities face significant challenges, including limited budgets and high demands, which often create the feeling of running on a treadmill without making progress. However, by making strategic adjustments, these teams can grow their annual giving programs effectively. Key strategies include evaluating and investing in the most effective fundraising channels, like shifting from underperforming direct mail to more cost-efficient digital campaigns. Personalizing outreach and segmenting donor groups can improve engagement, while prioritizing mid-level donors—who often contribute a large portion of annual revenue—can build stronger relationships. Additionally, managing staff turnover through documented processes and partnering with trusted external organizations can help maintain momentum. By focusing on small, consistent improvements, teams can achieve greater impact over time. Click here to read the full article.
| | |
AI is becoming a transformative tool in modern fundraising, helping organizations handle large volumes of data and meet increasing donor expectations. AI enhances fundraising by using predictive and prescriptive analytics to offer proactive insights, streamline decision-making, and personalize donor engagement. It also helps identify hidden opportunities and improve donor retention, while addressing biases in predictive models to promote diversity and equity. Practical AI applications include using natural language processing for donor communication, optimizing event planning, and personalizing donor journeys based on behavior. However, as you have heard many times, the adoption of AI presents challenges such as data accuracy, privacy concerns, and the potential for bias. This requires organizations to proceed carefully. By taking a strategic, incremental approach, nonprofits can leverage AI to drive growth while staying aligned with their mission and values. Click here to read more. | | | | | |