Artificial intelligence is increasingly being heralded as humanity’s next great problem-solving tool. It promises breakthroughs in medicine, education, scientific research, climate modelling, and logistics. Governments, technology companies and investors are pouring billions into AI infrastructure in the belief that it will help solve some of the world’s most pressing challenges.
Yet hidden within this technological revolution is a contradiction that deserves far greater attention.
The same AI systems being developed to improve human wellbeing are creating unprecedented demands for energy, water, computing power and land. As AI adoption accelerates, so too does the construction of vast data centres required to train and operate increasingly sophisticated models. These facilities consume enormous amounts of electricity and increasingly compete for access to resources that society relies upon for other purposes.
When Digital Infrastructure Competes with Physical Resources
Australia, long touted as Asia’s ‘food bowl’, is beginning to confront this reality.
Recent reporting has highlighted concerns that the country’s booming data centre sector could place as much as $21 billion worth of prime agricultural land at risk as developers seek suitable locations for new facilities. While the economic opportunities associated with AI are significant, the prospect of highly productive farmland being repurposed to support digital infrastructure raises important questions about priorities and long-term sustainability.
After all, humanity cannot eat data.
The irony is difficult to ignore. We are developing artificial intelligence partly to improve agricultural practices, optimise food production and address environmental challenges, while simultaneously expanding an infrastructure footprint that may place additional pressure on the very systems that sustain human life.
The issue extends beyond land use. Data centres require enormous quantities of electricity and cooling capacity. Around the world, governments and energy providers are grappling with forecasts suggesting that AI-related demand could become one of the fastest-growing sources of electricity consumption in the coming decades. What begins as a technological solution may inadvertently create new environmental and economic pressures that require further solutions.
A Familiar Pattern in Human Progress
This is not a criticism of AI itself. The technology possesses extraordinary potential. It could accelerate medical discoveries, help predict natural disasters, improve resource management and assist scientists in tackling complex global problems.
The deeper question is why humanity so often finds itself in such contradictory positions.
Throughout history, technological progress has frequently delivered both benefits and unintended consequences. The industrial revolution transformed living standards while contributing to pollution. Fossil fuels powered economic development while creating climate challenges. Social media connected billions of people while also contributing to misinformation, anxiety and social division.
Again and again, human beings create remarkable innovations only to discover that solving one problem can generate another.
Perhaps the central challenge is not technological capability but human decision-making itself.
Understanding the Human Factor
Some observers argue that understanding this pattern requires looking beyond economics, politics or engineering and examining the psychological forces that drive human behaviour.
Why do societies repeatedly struggle to balance short-term gains against long-term consequences? Why do intelligent and well-intentioned people often find themselves creating outcomes they never intended? Why does humanity repeatedly find itself confronting the same fundamental questions about progress, conflict and meaning?
These questions sit at the heart of the work of Australian biologist Jeremy Griffith and the broader FIX THE WORLD initiative. Griffith’s central argument is that humanity’s social, environmental and political problems all stem from a deeper psychological issue — what he describes as ‘the human condition’. According to this view, understanding the underlying drivers of human behaviour is essential if we are to manage increasingly powerful technologies responsibly.
In essence, Griffith’s explanation of the human condition focuses on what he describes as a fundamental clash between instinct and intellect. He proposes that as consciousness emerged in humans, the intellect’s capacity for independent thought and experimentation came into conflict with instinctive orientations shaped by evolution. According to Griffith, this conflict produced a deep psychological burden that manifested in insecure and defensive behaviours such as, in the main, aggression, egocentricity and alienation. Griffith and Fix The World maintain that understanding the biological origins of this psychological struggle can resolve the insecurity driving these behaviours, providing a foundation for lasting psychological rehabilitation and enabling societies to become better equipped to address larger challenges collectively.
Griffith’s ideas have attracted support from a range of individuals across scientific, academic and professional fields who argue that his explanation offers a uniquely comprehensive account of human behaviour.
Advocates within FIX THE WORLD’s large online community describe Griffith’s insights as transformative, reporting increased personal wellbeing, renewed purpose and a greater capacity to engage constructively with the complex problems facing humanity.
While Griffith’s conclusions are yet to become mainstream, the broader premise is worth consideration. Every major challenge facing humanity ultimately involves human behaviour. Climate change, conflict, inequality and environmental degradation are not merely technical problems; they are expressions of how human beings think, compete, cooperate and make decisions.
Viewed through this perspective, AI becomes more than a technological story. It becomes a mirror reflecting humanity itself.
The technology is capable of astonishing achievements. Yet whether those achievements ultimately benefit humanity depends on the values, motivations and assumptions guiding its development. Artificial intelligence can help optimise food production, but it cannot decide how society should balance economic growth against food security. It can increase efficiency, but it cannot determine what constitutes wisdom.
Those decisions remain profoundly human.
As AI systems become more powerful, the importance of understanding human psychology may grow rather than diminish. The challenge is no longer simply creating intelligent machines; it is ensuring that the humans directing those machines possess the insight and foresight necessary to use them responsibly.
The future of AI may therefore depend on more than advances in computing power. It may depend on whether humanity can develop a deeper understanding of itself.
If we fail to do so, we risk repeating a familiar pattern: using extraordinary ingenuity to create solutions that generate new problems. But if technological innovation can be matched by greater psychological insight and wisdom, AI could become one of the most transformative forces for good in human history.
The contradiction facing us is clear. We are building machines to help save the world. The question is whether we can understand ourselves well enough to ensure they do.
