AGI, Optimism and the Ethics of Abundance: Where Do We Go From Here?
Google’s DeepMind, Demis Hassabis, claims artificial general intelligence (AGI) could usher in an age of abundance and perhaps make us more altruistic. But, will a more powerful AI truly inspire a better society or simply amplify old human dilemmas in new ways?
A New Age of Plenty - or Just New Problems?
Artificial intelligence, in all its promise and peril, is not just a set of algorithms. It is an idea that invites us to imagine the future sometimes with hope, sometimes with trepidation. In a recent Wired interview, Google DeepMind CEO Demis Hassabis captured this duality perfectly: AGI, he argues, could solve fundamental global challenges and nudge humanity towards greater altruism. His vision is compelling, but as we stand at the threshold of this new era, the real question is not just what AI can do, but what we will do with AI.
The Promise: Radical Abundance and Human Flourishing
Hassabis sees AGI (artificial general intelligence) as the missing piece in humanity’s puzzle. With AGI’s help, he suggests, we could finally address age-old problems: eradicating disease, mitigating climate change, even transcending the limits of resource scarcity. In his view, the “zero-sum” mindset that often drives conflict and competition could give way to a “non-zero-sum” world where abundance allows for more generous, collective action.
There is genuine reason for optimism. DeepMind’s achievements, such as AlphaFold’s breakthroughs in protein folding, have already shown that AI can unlock scientific mysteries once thought beyond our grasp. If these advances scale, and if AGI is developed with appropriate safeguards, the prospect of a society less preoccupied with scarcity - and perhaps more open to cooperation - doesn’t seem so far-fetched.
The Reality: Old Incentives, New Capabilities
However, technology alone rarely rewrites human nature. Abundance, in itself, does not guarantee altruism or wisdom. History is full of examples from the advent of the printing press to the rise of the internet, each technological leap bringing as much upheaval as it has progress. The capacity for misusing powerful tools is never far behind their creation.
Hassabis himself acknowledges this tension warning of the very real risks posed by AGI ranging from misuse by malicious actors to failures in technical safety. Public scepticism, as shown in recent surveys, is growing. People worry not just about jobs or privacy, but about the erosion of foundational skills - critical thinking, creativity, independent judgment - when AI becomes a shortcut rather than a collaborator. This scepticism isn’t anti-progress; it’s a signal that society wants to see responsibility and reflection, not just relentless optimisation.
In this light, AGI’s potential is as much a test of our collective maturity as it is a measure of technical prowess. Tools reflect the priorities and values of those who wield them. If incentives remain narrowly focused on profit, control or short-term gain, the benefits of AGI could be uneven at best, catastrophic at worst.
The Responsibility: Shaping Outcomes, Not Just Technologies
What, then, is required to ensure that AGI’s arrival is a turning point for the better?
First, as Hassabis wisely suggests, we must pursue international cooperation and regulation with seriousness and urgency. The stakes are too high for nationalistic competition or corporate secrecy. Shared frameworks for safety, transparency and accountability must become the norm, not the exception.
Second, the development of AGI and all other advanced AI needs to move beyond technical benchmarks to include philosophical, ethical and social perspectives. This means involving a broader range of voices: ethicists, educators, policymakers and the communities most likely to be affected by AI’s deployment. It means asking not just “Can we build it?” but “Should we build it, and for whom?”
A Call to Leadership - Not Just Innovation
The age of abundance that Hassabis describes will not arrive by default. Abundance without stewardship is as much likely to generate new dilemmas as it is to resolve old ones. AGI, when it comes, will give us new tools, but it won’t make choices on our behalf. That work remains ours.
The goal is not to fear AGI, nor to place blind faith in it, but to earn, through collective effort and high standards, the right to call it progress. If we want AI to help create a society that is not just wealthier, but wiser and more humane, we must design not just smarter algorithms, but stronger norms and institutions around their use.
This is where professional bodies like the Institute of Artificial Intelligence (IoAI) have a defining role. If AGI is to be developed and used for the common good, it must be underpinned by robust professional standards. Raising the bar for professional recognition in AI is not a bureaucratic exercise, it is a way of ensuring that those building, deploying and governing these technologies are equipped not only with technical skill, but with a sense of duty to the wider world.
Ethics, accreditation, transparency and ongoing education are not just formalities, they are safeguards for public trust and social value.
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