AI anxiety” refers to a growing, widespread unease about how rapidly artificial intelligence is reshaping work, identity, and society, often without people feeling prepared or consulted. This anxiety isn’t a single fear but a mix of concerns including job disruption and loss of purpose, lack of control over opaque AI-driven decisions, misinformation and deepfakes eroding trust, privacy and surveillance risks, concentration of power among tech giants, impacts on education, and a deeper worry about the loss of human meaning and connection. While not irrational, this anxiety can be eased by making concerns more specific, improving AI literacy, relying on trusted information, and advocating for transparency and safeguards as society adapts to these changes.
Cybersecurity is now a core governance responsibility for not-for-profit boards and executives, not just an IT issue.
As digital systems underpin service delivery and fundraising, cyber incidents can disrupt operations, compromise sensitive data and damage trust. With not-for-profits increasingly targeted and regulators expecting active oversight, leaders must treat cyber risk as a strategic priority and ensure they have clear visibility of their organisation’s cyber maturity to protect their mission and stakeholders.
Repeat donors are the most valuable supporters for nonprofits, yet they’re often the hardest to retain. Modern donors now expect personalised, seamless digital experiences and clear impact similar to what they get from private-sector brands. According to the Stanford Social Innovation Review, AI can strengthen rather than replace human connection by helping nonprofits better understand donor behavior, tailor outreach, and streamline operations. Used ethically, AI enables personalisation at scale, improves donor retention, optimises fundraising performance, and offers 24/7 support through chatbots freeing staff to focus on mission-driven work.
From our friends at the Institute of Community Directors Australia, some wonderful examples of charities rapidly adopting artificial intelligence (AI) to advance their missions – using it to build chatbots that provide trusted information to connect people to support, personalise education, improve health care, streamline fundraising and administration, and analyse data at scale to power research, monitoring and advocacy. From the Alcohol and Drug Foundation’s “Dib” bot to BaptistCare’s use of Microsoft Copilot, Clean Up Australia’s AI-driven litter analysis and Citizens Advice UK’s AI assistant “Caddy”, organisations are also beginning to experiment with “Agentic AI”, where AI agents can act on their behalf. 43 inspiring examples that show how the sector is already putting these tools to work.
Built on the foundation of IT and digitisation, the AI revolution is transcending limitations in at least three highly consequential areas for business:
1)Enabling continuous enterprise reinvention instead of periodic transformation
2)Using real-time intelligence instead of depending on episodically-updated software
3)Synthesizing multiple modes of data
Leading companies are leveraging these into strategies that separate them from their competitors
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According to a survey of Fortune 1000 and global business leaders:
1.Investments in AI and data are growing.
2.Organisations are reporting business value from their AI investments.
3.Transformation due to AI will be gradual for most organisations.
4.Focus on responsible AI, safeguards, and guardrails.
5.Hiring chief AI officers as AI and data leadership roles evolve.
6.AI and data leaders are joining the C-suite to drive business goals.
Generative AI offers significant potential for enhancing productivity and innovation, but companies are lagging behind in its adoption. To fully leverage gen AI, businesses must overhaul their processes, structures, and talent strategies, align AI with business goals, and invest in comprehensive talent development. Effective governance, system integration, and ongoing adaptation are crucial for capitalizing on gen AI and staying competitive.
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The platform shift to AI is well underway. And while it holds the promise of transforming work and giving organizations a competitive advantage, realizing those benefits isn’t possible without a culture that embraces curiosity, failure, and learning. Leaders are uniquely positioned to foster this culture within their organizations today in order to set their teams up for success in the future. When paired with the capabilities of AI, this kind of culture will unlock a better future of work for everyone.
In early 2024, there has been a notable surge in the adoption of generative AI (gen AI) across organizations, marking a significant shift towards deriving tangible business value from this technology.
According to the latest McKinsey Global Survey on AI, 65% of respondents now report regular use of gen AI within their operations, nearly doubling from the previous year. This widespread adoption is accompanied by reports of cost reductions and revenue increases in various business units leveraging gen AI.