AI... Opportunity or Threat?

What are the strategic implications of Artificial Intelligence not-for-profits: Its transformative efficiencies as well as its emerging threats?

A practical perspective for organisations, especially NFPs with limited budgets.

Artificial Intelligence has rapidly evolved from a specialist technology into a mainstream strategic issue for organisations of all sizes. While large corporations dominate headlines with major AI investments, the implications are equally important for smaller organisations and the not-for-profit (NFP) sector. Charities, associations, community organisations, and social enterprises often face growing service demands, rising stakeholder expectations, limited staffing, and tight budgets. For them, AI presents both significant opportunities and new challenges.

The key question is no longer whether AI matters, but how organisations with constrained resources can use it wisely to improve outcomes while managing risk, cost, and complexity.

The transformative efficiencies of AI

1. Doing more with less

For not-for-profits, AI’s greatest attraction is efficiency. Many organisations operate with lean teams and heavy workloads, and AI can automate administrative tasks to free time for mission-focused work.

Applications include drafting donor, sponsor and volunteer communications, newsletters, funding proposals, meeting summaries, reports, and staff or volunteer rosters. UNICEF Australia and Greenpeace Australia use fundraising platforms like Dataro to improve donor targeting while reducing mailout volumes. The Australian Literacy and Numeracy Foundation (ALNF) also uses AI to help preserve First Nations languages through its Living First Language platform, by enabling users to interact with sounds, letters, and symbols.

AI-powered chat tools and email assistants can further streamline enquiries and workflows. When implemented effectively, AI acts as a force multiplier, enabling small teams to achieve outcomes that once required larger workforces or external consultants.

2. Better use of data and insights

Many organisations collect significant amounts of data but lack the resources to analyse it effectively. AI can help transform data into valuable insights by identifying donor, sponsor and volunteer trends, retention risks, and stakeholder engagement opportunities. Clean Up Australia, for example, uses AI image analysis to assess thousands of volunteer-supplied photos, helping categorise litter, support annual reporting, influence decision-makers, and forecast service demand.

AI can also assist organisations in measuring program outcomes, detecting unusual spending patterns, and analysing survey feedback. Lifeline Australia is exploring conversational AI and virtual collaborators to triage distress signals and connect people more efficiently to crisis support services.

For organisations operating with limited budgets and resources, improved insights and stronger decision-making can deliver benefits that are just as valuable as direct financial savings.

3. Improved stakeholder engagement

Supporters, beneficiaries, regulators, and communities increasingly expect personalised and timely communication. AI can improve responsiveness, tailor messaging, and enhance user experience through personalised updates, faster enquiry handling, accessible content creation, and improved website search functions.

Eastern Palliative Care uses AI-assisted technology to help transcribe and write life stories for home care clients while attempting to preserve their voice and tone. Justice Connect uses AI to translate everyday descriptions of legal problems into formal legal issues, helping people access the right pro bono support while reducing online intake drop-out rates.

For not-for-profits competing for attention, volunteers, and donations, stronger stakeholder engagement can directly support long-term sustainability.

4. Expanding expertise without major headcount growth

Limited budgets often prevent organisations from hiring specialists in areas such as communications, analytics, policy, and administration. AI can help bridge these gaps by assisting staff with tasks like marketing content, presentations, spreadsheet analysis, grant applications, policy research, and training materials.

While AI does not replace expertise, it can significantly expand a small team’s capability.

The emerging threats and complexities of AI

While the opportunities are compelling, AI also creates risks that may be even harder for smaller organisations and NFPs to manage because they often lack dedicated risk, legal, cybersecurity, or IT teams.

A common risk is buying tools because they are fashionable rather than because they solve real problems.

1. Reliability and quality risks

AI can generate convincing but inaccurate, incomplete, outdated, or fabricated content. Not-for-profits relying blindly on AI for policy, legal, health, or grant-related information risk serious mistakes, including incorrect claims, misleading advice, or flawed documents.

Human oversight and review remain essential to ensure accuracy, accountability, and appropriate decision-making.

2. Data privacy and confidentiality

Many not-for-profits handle highly sensitive information involving donors, beneficiaries, clients, health issues, finances, or vulnerable communities. Uploading such information into AI tools without proper controls can create privacy breaches or trust issues.

Leaders should ask what data is safe to use in AI tools, whether the information is stored externally? Are privacy obligations being met? Have staff been trained on acceptable use? For organisations built on trust, privacy failures can be deeply damaging.

3. Cybersecurity threats

Many NFPs, including WWF Australia, Plan International Australia, Cancer Council, Canteen, Fred Hollows Foundation, Smith Family, Oxfam Australia and Community Based Support (CBS) Tasmania have suffered cyber-attacks. The belief that organisations are “too small to be hacked” is dangerous, as smaller organisations are often targeted due to weaker defences. The Australian Cyber Security Centre (ACSC) reported that 43% of cybercrime reports in 2023 came from small to medium-sized organisations, including charities and NFPs.

AI is making attacks more sophisticated through personalised phishing emails, fake invoices, deepfake voice scams, and automated social engineering. NFPs are particularly vulnerable because their high-trust cultures can be exploited.

Limited cyber budgets further increase the need for practical resilience measures such as Cyber Incident Response Plans (CIRPs), Business Continuity Plans (BCPs), and staff awareness training.

4. Hidden costs and poor investment choices

Although many AI tools appear inexpensive, costs can grow through subscriptions, consulting, integration work, staff time, training, governance, and failed experiments.

A common risk is buying tools because they are fashionable rather than because they solve real problems. For budget-conscious organisations, every technology dollar must deliver value.

5. Skills and change management challenges

AI adoption is not only a technology issue. Staff may feel anxious, sceptical, or overwhelmed. Others may use tools enthusiastically but without understanding the risks.

Organisations need clear guidance, basic AI literacy training, practical examples of value, safe experimentation and leadership support. Without this, adoption may become fragmented or risky.

6. Governance and ethics

Not-for-profits often have strong values-based missions. They must consider whether AI use aligns with those values.

Questions may include whether the system is fair and inclusive, if bias could disadvantage certain groups, whether decisions are explainable, if human judgement is retained where needed, and whether the technology supports the organisation’s mission - or distracts from it. Ethical missteps can undermine credibility with donors, regulators, and communities.

A practical, strategic response for NFP leaders

AI does not require a massive budget to deliver value. What it requires is focus, discipline, and thoughtful governance.

Start small and high-value (‘quick wins’) - Pilot with a few business functions first. Choose a few low-risk, high-impact use cases such as drafting communications, meeting summaries, or supporter engagement.

Protect sensitive information - Create simple rules about what data can and cannot be entered into AI systems.

Keep humans in the loop - Use AI to assist decision-making, not replace accountability.

Build staff and volunteer confidence and capability - Provide practical training and encourage responsible experimentation.

Review costs carefully - Track subscriptions, time savings, and measurable benefits.

Align AI with the mission - Use AI where it strengthens service delivery, efficiency, and impact-not just because it is new.

This article was first published in the 2026 Better Boards Conference Magazine.

Further Reading

Using AI: Has Your Board Done Its Homework

A Governance Work Plan for Responsible AI Adoption in Not-for-Profits

AI Literacy for Directors: What It Actually Means in the Boardroom

AI Governance for Charity and Not-for-Profit Boards

How an IT Strategy Can Boost Your Not-for-profit’s Impact