Throughout history, transformative advancements have profoundly reshaped humanity's access to and use of knowledge. The invention of writing by ancient Egyptian scribes allowed societies to preserve, disseminate, and build upon collective wisdom for millennia (CNN, 2024). Later, the Gutenberg printing press amplified this impact exponentially, spreading ideas far beyond the elite circles of scholars and religious leaders, igniting an unprecedented era of enlightenment and social change (The Conversation, 2024).
In the 20th century, key philosophical texts such as Knowing and the Known (Dewey & Bentley, 1949) began to challenge and redefine the nature of knowledge itself, laying the groundwork for more systemic understandings of how we construct meaning. Fast forward to 1984—my second year of university—we became the first cohort trained in real-time programming, a milestone in computer science education that led many of us, myself included, to careers automating the information layer for the next three decades.
Today, we stand on the precipice of another monumental shift—the democratisation of knowledge through artificial intelligence (AI). Much like how Gutenberg's innovation enabled the mass distribution of information, generative AI tools like ChatGPT promise to make complex knowledge instantly accessible to anyone with an internet connection (Nature, 2025). AI synthesises vast troves of information, facilitating rapid repurposing and dissemination of knowledge that previously required extensive study or specialist training.
This transformation is well illustrated by the DIKW (Data, Information, Knowledge, Wisdom) pyramid (Wikipedia, 2024). As shown in this illustrative version, AI excels at moving inputs from data to information and generating insights, but it is humans who provide the experience and contextual understanding to achieve wisdom. AI automates the lower rungs of the pyramid, freeing us to engage in higher-order thinking.
Figure 1: DIKW adapted for AI Automation
Recent articles highlight how each leap forward in technology—from the papyrus scrolls of ancient Egypt to today's AI algorithms—reshapes how humans engage with knowledge (CNN, 2024; The Conversation, 2024). Nature (2025) further elaborates, emphasising AI's transformative role in democratising information, creating an open ecosystem where knowledge barriers shrink dramatically.
Alongside these technological strides, global development frameworks such as the Millennium Development Goals (MDGs) and their successors have played a crucial role in aligning knowledge distribution with humanitarian aims—reducing poverty, improving education, and enhancing gender equality. AI, with its ability to scale knowledge dissemination, now holds the potential to further this trajectory towards not only peace but also prosperity.
Equally vital is the recognition that the future of wisdom may also lie in its diversity. As Lynne Kelly (n.d.) speculates in her work on ancient memory systems, inclusive ways of knowing—embracing neurodiverse thinkers including those with ADHD, autism, and alternative cognitive profiles—may provide new pathways for understanding and navigating complex knowledge landscapes. Wisdom in the AI era must be broadened to include many kinds of minds.
Yet, amidst this acceleration, human wisdom remains indispensable. While AI excels at rapidly assimilating and repurposing existing information, it cannot replicate the deeply human skills of robust debate, nuanced socialisation, and profound empathy. These are among the 12 critical skills necessary for future-proofing our societies and fostering meaningful progress.
The following table below illustrates how these critical skills have underpinned major historical advancements:
Table 1 12 Critical Skills applied to historical advancement
| Critical Skill (Farmer, 2024) | Historical Advancement | Relevance of Skill |
|---|---|---|
| Curiosity | Age of Exploration | Encouraged global discovery and the pursuit of new knowledge |
| Communication | Gutenberg Press | Facilitated widespread sharing and exchange of ideas |
| Cultural Humility | Silk Road | Enabled cross-cultural exchanges and mutual understanding |
| Dealing with Ambiguity | Industrial Revolution | Navigated rapid technological and societal changes |
| Analytical Enquiry | Scientific Revolution | Promoted empirical investigation and evidence-based reasoning |
| Critical Thinking | Enlightenment | Fostered intellectual debate and rational inquiry |
| Emotional Intelligence | Renaissance | Enhanced appreciation of art, humanism, and interpersonal sensitivity |
| Transdisciplinarity | Space Exploration | Integrated knowledge from diverse scientific disciplines |
| Creative Thinking | Digital Revolution | Generated innovative technological solutions and industries |
| Ethics & Sustainability | Environmental Movement | Advocated for responsible stewardship of natural resources |
| AI Literacy | AI Revolution | Necessitated understanding and management of AI technologies |
| Adaptability | Quest for Wisdom | Supports human capacity to learn, unlearn, and evolve in an age of rapid knowledge access and automation |
Ultimately, AI will serve as an invaluable partner in our quest for knowledge, but human wisdom—encompassing critical thinking, empathy, creativity, and social understanding—will always anchor meaningful human progress.
Will that usher in a time when all of us have the ability to know what is known?
References
CNN. (2024, June 28). Ancient Egyptian scribes reshaped human knowledge. CNN.
https://edition.cnn.com/2024/06/28/science/ancient-egyptian-scribes-scn/index.html
Dewey, J., & Bentley, A. F. (1949). Knowing and the Known. Beacon Press.
https://en.wikipedia.org/wiki/Knowing_and_the_Known
Nature. (2025). Generative AI and the transformation of human knowledge. Nature.
https://www.nature.com/articles/s41599-025-04731-0
The Conversation. (2024). Technology has shaped human knowledge for centuries: Generative AI is set to transform it yet again.
https://theconversation.com/technology-has-shaped-human-knowledge-for-centuries-generative-ai-is-set-to-transform-it-yet-again-252616
The Guardian. (2017, March 30). How successful were the Millennium Development Goals?
https://www.theguardian.com/global-development-professionals-network/2017/mar/30/how-successful-were-the-millennium-development-goals
Wikipedia. (2024). DIKW pyramid. Wikipedia.
https://en.wikipedia.org/wiki/DIKW_pyramid#:~:text=The%20presentation%20of%20the%20relationships,knowledge%2Dto%2Dwisdom%20transformation
Lynne Kelly. (n.d.). The Memory Code. Retrieved from https://www.lynnekelly.com.au/?page_id=6116