Tag: AI & Ethics

  • Building the Future Now: Confronting Our Greatest Challenges

    In the previous three essays, I have been laying out a path for addressing the major challenges of our time. That path begins at the individual level, with the work of developing ourselves spiritually, emotionally, and ethically. From there, it extends outward into our closest relationships, our communities, our workplaces, our institutions, and ultimately society as a whole.

    The emphasis on individual transformation was never meant to imply that our problems are merely personal. Rather, it reflects the belief that large-scale change begins with the people who participate in and shape the systems around them. If we hope to address the immense social, political, economic, and environmental challenges before us, we need individuals who are capable of acting with wisdom, maturity, compassion, and clarity. Because the reality is that we currently face a number of profound challenges, and how we respond to them over the coming decades will determine the course of human history.

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    The Major Challenges of Our Time

    AI, Work, and Human Purpose

    One of the major challenges humanity may face in the coming decades is the potential for AI-driven unemployment. We are already beginning to see signs of job displacement, particularly in white-collar and entry-level positions. For instance, in the legal profession AI is increasingly performing routine research, document review, and form preparation. A similar pattern is emerging in software development, where AI tools are reducing demand for junior developers while making experienced programmers significantly more productive.

    Other fields are experiencing similar pressures. Translation work, copywriting, customer service, data entry, administrative support, and basic graphic design have all been affected by the growing ability of AI systems to perform tasks that once required human labor. In many cases, the jobs are not disappearing entirely, but fewer workers are needed to produce the same output. A marketing department that once required ten people may now require five. A customer service team of one hundred may be reduced to forty.

    AI may ultimately eliminate a large percentage of existing human jobs, potentially on a scale unprecedented in human history. The deeper issue is not whether AI will eliminate all jobs, but whether society can adapt to a future in which technological progress continuously reduces the amount of human labor required to create goods, services, and information. If productivity continues to rise while employment opportunities shrink, we may be forced to rethink how wealth, opportunity, and purpose are distributed within society.

    A background concern to all of this is wealth inequality. If AI dramatically increases productivity while reducing the need for human labor, who benefits? One possible future is one in which the owners of AI systems–the shareholders, founders, and executives of a relatively small number of companies–capture a disproportionate share of the wealth created. A second group might consist of highly skilled workers who use AI to enhance their productivity to levels we can scarcely imagine today. But where does that leave everyone else?

    This question is particularly important because we already live in a period of severe wealth inequality. Across much of the world, wealth and economic power have become increasingly concentrated in the hands of a small minority. This is already a destabilizing force. If large numbers of people were to find themselves without meaningful employment, reliable income, or a sense of purpose, the social consequences could be profound.

    One of the most commonly proposed solutions is a Universal Basic Income (UBI), in which every person receives a guaranteed income regardless of employment status. UBI may ultimately become necessary in some form, but it raises important questions of its own.

    Who controls the flow of resources? Who determines the amount people receive? Is it enough merely to survive, or enough to live a meaningful and fulfilling life? Does it allow people to travel, pursue education, spend time with family and friends, create art, volunteer in their communities, and explore new possibilities? Or does it simply provide a minimal subsistence while economic and political power become increasingly concentrated elsewhere?

    There is also a deeper question. A society in which most people depend upon a small group of institutions for their livelihood requires a tremendous degree of trust. What happens if political priorities change? What happens if economic crises occur? What happens if those who control the resources come to view the broader population not as fellow citizens, but as dependents, burdens, or obstacles? We already see this sort of ideology right now when it comes to poor and vulnerable communities in our current economy.

    These questions do not mean that UBI is a bad idea. They simply illustrate that income alone may not solve the deeper challenges posed by a future in which human labor is no longer central to economic production. The issue is not only how wealth is distributed, but how power, dignity, purpose, and democratic participation are preserved in an age of intelligent machines. These are profound questions, and I am not sure we are currently prepared to address them with the wisdom and maturity they require.

    AI, Energy, and Environmental Sustainability

    Another immediate concern surrounding AI is its growing demand for energy and water. The data centers that power modern AI systems require enormous amounts of electricity. Large AI data centers can consume as much power as a small city, placing increasing strain on electrical grids that are still largely powered by fossil fuels such as coal and natural gas. As AI development accelerates, so too will the demand for computing power, and with it the demand for energy.

    This raises obvious environmental concerns. If the electricity powering these facilities continues to come primarily from fossil fuels, increased AI adoption could contribute to higher greenhouse gas emissions at precisely the moment when many scientists argue emissions need to be rapidly reduced.

    Water consumption is another issue that receives far less public attention. Data centers generate tremendous amounts of heat and require extensive cooling systems. Many facilities use hundreds of thousands of gallons of water per day, while some of the largest consume millions. Much of this water is lost through evaporation during the cooling process, while the remainder often becomes wastewater that must be treated before being discharged back into the environment.

    These demands place additional pressure on local infrastructure. Supplying large volumes of water to data centers and managing the resulting wastewater can strain municipal systems, particularly in regions already facing water scarcity or aging infrastructure. As AI becomes more deeply integrated into society, questions surrounding energy use, water consumption, environmental sustainability, and environmental justice will become increasingly difficult to ignore.

    There is another aspect of this issue worth considering. Public conversations about climate change have often been shaped by powerful economic interests. Industries whose profits may be affected by environmental regulations have frequently sought to influence public opinion, political decision-making, and the flow of information. This does not mean that every argument made by these industries is wrong, but it does remind us that economic interests often play a significant role in shaping public debate.

    As AI becomes increasingly important to the global economy, the corporations that develop and control these technologies will likely acquire similar influence. They will have strong incentives to shape public policy, public perception, and regulatory frameworks in ways that benefit their interests. Whether the issue is energy consumption, data privacy, labor displacement, environmental impacts, or market competition, we should expect powerful actors to advocate for outcomes that align with their economic goals.

    For this reason, one of the most important skills citizens can develop is the ability to critically evaluate information. We need to become better at distinguishing evidence from propaganda, and at recognizing the interests and incentives that often lie behind public narratives. In an age of increasingly powerful technologies and increasingly sophisticated forms of persuasion, critical thinking is not merely an intellectual virtue, it is also a civic necessity.

    From Climate Change to Global Instability

    These environmental concerns feed directly into broader concerns about climate change. At this point, the central question is no longer whether climate change is occurring, but rather how severe its effects will become and how effectively humanity can adapt to or mitigate them.

    Scientists project a wide range of impacts, including rising temperatures, more frequent and intense heat waves, changing precipitation patterns, increased drought in some regions, heavier flooding in others, sea-level rise, and growing pressure on ecosystems. These changes may place increasing stress on agriculture, water supplies, infrastructure, and public health.

    Climate change may also increase the spread of certain diseases by expanding the range of disease-carrying insects and placing additional strain on health systems. As some regions become more difficult to inhabit due to extreme heat, drought, crop failures, or rising seas, large-scale migration may occur, particularly from equatorial regions and parts of the Global South. Such movements could place additional pressures on receiving countries and contribute to political and social tensions.

    Food security is another concern. Modern civilization depends upon complex and highly interconnected global supply chains. Climate-related disruptions to agriculture, transportation networks, energy systems, or critical infrastructure can create cascading effects that extend far beyond the regions directly affected. Shortages in one area may ripple across continents through trade, markets, and supply networks.

    The result may be increasing societal instability and growing challenges to the resilience of the global system itself. Climate change is therefore not simply an environmental issue. It is also an economic issue, a public health issue, a migration issue, and ultimately a question of political and social stability.

    Political Polarization and Social Fragmentation

    Large-scale migration, economic disruption, rising living costs, resource scarcity, and declining trust in institutions can all place stress on political systems. We are already seeing some of these dynamics emerge in various parts of the world. For example, migration into Europe from Africa and the Middle East has become a major political issue and has contributed to the growth of nationalist and far-right movements in some countries.

    Economic insecurity can produce different political responses. Some people may be drawn toward more collectivist or redistributive economic models, while others may support nationalist, populist, or authoritarian movements that promise stability and order. The specific ideological response often varies from one society to another, but the underlying pattern is similar: periods of uncertainty tend to create fertile ground for political polarization.

    This process can lead to increased conflict and fragmentation within nation-states. Political opponents increasingly come to view one another not simply as people with different opinions, but as existential threats. Compromise becomes more difficult, trust erodes, and institutions come under increasing strain.

    Tribalism plays an important role in this process. As we have discussed elsewhere in this series, human beings have a strong tendency to divide themselves into competing groups. During periods of relative stability, these divisions can often be managed. During periods of crisis, however, tribal identities frequently become stronger and more antagonistic. In such environments, fear and uncertainty can accelerate social fragmentation, making collective action on shared problems increasingly difficult.

    This dynamic also helps explain the rise of apocalyptic thinking. When people perceive that the institutions around them are failing, that their way of life is under threat, or that society itself is becoming unstable, they often begin to imagine the future in catastrophic terms.

    Global Instability, Arms Races, and the Future of War

    Taken together, these trends suggest that we may be moving away from the post-Cold War vision of a rules-based international order and toward a more fragmented world characterized by great-power competition, nationalism, oligarchic concentrations of wealth, and the growing appeal of authoritarian political models. Whether this transition is temporary or long-lasting remains to be seen, but it has become a source of increasing concern for many observers.

    The same insecurities that can drive conflict between individuals can also emerge at the level of nations. Fear, status anxiety, competition for resources, historical grievances, and the desire for recognition do not disappear when human beings act collectively. Instead, they can become embedded within national identities and expressed through diplomacy, economic competition, and, in some cases, military conflict.

    Recent wars have also demonstrated that the nature of warfare is changing. The conflict in Ukraine has revealed the growing importance of drones, autonomous systems, cyber operations, and AI-assisted decision-making. Technologies that were once available only to major powers are becoming increasingly accessible, allowing smaller actors to challenge larger and more technologically advanced opponents through multiple forms of asymmetric warfare.

    At the same time, geopolitical tensions remain high in several regions of the world. Rivalries among major powers, conflicts in the Middle East, disputes over territory and resources, and the continued existence of nuclear arsenals all contribute to an environment of uncertainty. While no one can predict the future, the possibility of escalation remains a persistent concern.

    Most public attention tends to focus on the threat of nuclear war, and for good reason. Yet another emerging concern is the weaponization of artificial intelligence. As AI becomes increasingly integrated into military systems, difficult ethical and strategic questions arise. How much decision-making should be delegated to machines? What happens when autonomous systems make mistakes? And how do nations prevent an arms race in increasingly intelligent and autonomous weapons?

    These questions point to a broader challenge. Humanity’s technological capabilities are advancing rapidly, but it is far less clear that our political institutions, ethical frameworks, and systems of international cooperation are keeping pace.

    From Anxiety to Action

    If the challenges outlined above are real, then addressing them will require changes that go far beyond any single policy proposal. The problems themselves are interconnected, and so must be the solutions.

    A starting point is the growing polarization that characterizes much of public life. We need to become better at evaluating information, distinguishing fact from manipulation, and engaging with people who hold different views. Yet even this is not enough. Throughout this series of essays, I have emphasized the importance of personal growth and what I call critical spirituality. If we are not acting from a place of stability, maturity, self-awareness, and wisdom, then we have little hope of addressing the immense challenges before us.

    There are powerful forces driving many of the trends discussed in this essay. Economic interests, political incentives, media systems, and technological momentum all shape the world around us. It is unlikely that these forces can simply be argued away. In my experience, argument alone rarely changes people. The more effective path is to build something betters that people can see, experience, and participate in for themselves.

    Yet before we can build healthier institutions, we must cultivate the qualities that make them possible. No political system, economic model, or technological solution can substitute for wisdom, compassion, self-awareness, and a genuine concern for the well-being of others. The crises we face are not merely technical problems requiring technical solutions. They are also human problems, rooted in fear, greed, tribalism, and our tendency to prioritize short-term interests over long-term flourishing. If we fail to address these deeper dimensions of human life, we may find ourselves recreating the same problems under new names and within new systems.

    For this reason, I believe that strong communities will be essential in the decades ahead. We need institutions that foster cooperation rather than isolation, mutual aid rather than indifference, and shared purpose rather than endless competition. We need ways of connecting people that are deeper and more meaningful than the forces pulling them apart.

    The challenge posed by AI illustrates this clearly. If automation reduces the need for human labor, then we will need new ways of distributing the wealth generated by increasingly productive technologies. Proposals such as Universal Basic Income, taxes on AI-generated productivity, public ownership stakes in AI companies, or other forms of social wealth-sharing deserve serious consideration. At the same time, we should not lose sight of the value of human craftsmanship, creativity, care, and community. Not everything of value can or should be automated.

    I am also drawn to more localized and cooperative economic models. Worker cooperatives, community-owned enterprises, mutual aid networks, and other democratic forms of economic organization may provide ways of distributing both power and opportunity more broadly. Such approaches will not solve every problem, but they may help create a society in which technological progress benefits everyone rather than a small number of owners.

    These same principles may also help address some of the broader challenges discussed throughout this essay. Strong local communities are often more resilient during periods of disruption. Whether the challenge comes in the form of climate-related disasters, economic shocks, supply-chain disruptions, pandemics, or large-scale migration, communities with strong social ties and local institutions are generally better equipped to adapt. Cooperative enterprises and mutual aid networks can provide support when larger systems become strained, while localized economies may be less vulnerable to disruptions occurring thousands of miles away.

    This does not mean abandoning global cooperation or retreating into isolated localism. Many of the challenges we face, particularly climate change, require coordinated action at national and international levels. Yet resilient local communities can serve as an important foundation upon which broader solutions are built. In an increasingly uncertain world, social cohesion may prove just as important as technological innovation.

    None of this will be easy. Many of these ideas challenge deeply entrenched interests and assumptions. Entire industries are devoted to promoting particular economic and political worldviews. Significant change will require not only new policies, but also a shift in how we think about wealth, work, success, and our obligations to one another.

    Ultimately, the solution to apocalyptic anxiety is not withdrawal, despair, or waiting for someone else to save us. It is the difficult but necessary work of building healthier people, stronger communities, and more humane institutions. If we are entering a period of profound transformation, then the task before us is not merely to survive it, but to help shape what comes next. The future is not something that simply happens to us. It is something we create together, one decision, one relationship, and one community at a time.


    This is part 4 of a four part series on dealing with apocalyptic anxiety. You can find the other parts below:

    Part 1 – Our Fear of AI is Really Fear of Ourselves

    Part 2 – Developing Our Inner Selves: The First Bulwark Against AI Catastrophe

    Part 3 – Putting Critical Spirituality to Work in the World


    This essay develops themes explored more fully in my recently published book, The Last Apocalypse: Consciousness, Revelation, and the Future of Humanity.

    Buy my book here

  • Our Fear of AI is Really Fear of Ourselves

    Out of all the causes for apocalyptic anxiety, the advent of artificial intelligence causes the most concern. For many people, the primary fear is that we may eventually lose control over it, which could lead to catastrophic outcomes for humanity. But as I will argue in this essay, if we are afraid of AI, then we are really afraid of ourselves. Artificial intelligence is not being given to us by aliens or the gods. It is emerging from human civilization itself, trained on our literature, art, news, behavior, and culture. The values embedded within AI will mirror the society from which it emerges.

    If true consciousness ever emerges in artificial intelligence, it will likely develop its own internally coherent framework for behavior in relation to its environment and social conditions. Consciousness is not purely abstract intelligence. In the natural world, highly intelligent social species develop patterns of cooperation, conflict, empathy, hierarchy, and behavioral norms alongside their intelligence. AI is emerging from us, and humans are a deeply social species. Its own behavioral framework will inevitably be shaped by the environment and civilization from which it emerges.

    Consciousness and Morality in Animals

    To better understand this, we can look at the different forms of consciousness and what researchers often call proto-morality in animals. Researchers use “proto-morality” to describe the building blocks of morality, such as empathy, altruism, conflict resolution, and patterns of play. Elephants, for example, display high levels of self-awareness, empathy, and intentional behavior. They have been observed consoling grieving members of their group, assisting injured elephants, and even helping other species in distress. This is not to say elephants are completely peaceful, as they are still capable of aggression. However, their social behavior is generally characterized far more by cooperation, caregiving, and group cohesion than by organized violence.

    Chimpanzees, however, present a very different picture. Like elephants, chimps possess self-awareness and act with intentionality, but their social behavior is often far more aggressive with a hierarchy based on dominance. They have been observed attacking and killing other monkey species, sometimes in extremely violent ways, both for meat and as displays of social dominance. Chimp groups have also been known to carry out coordinated attacks against rival groups. In one well-known observed case in Uganda, prolonged conflict between two chimp communities resembled a kind of chimpanzee “civil war” where one group eradicated the other.

    From this we see two animals with highly evolved forms of consciousness, yet two very different proto-moral frameworks. Their consciousness and social behavior evolved within the environments and groups in which they developed. And here is a speculative thought experiment that is important for our discussion: if elephants and chimpanzees were both capable of creating artificial intelligence, what kinds of AI would emerge from these two very different social worlds?

    AI and the Logic of Human Systems

    We can apply this same thought experiment to our own anxieties about AI. Artificial intelligence will learn to navigate the world through the environment from which it emerges. Whether we describe this as morality, ethics, or a behavioral framework, it will inevitably reflect aspects of the culture and civilization that shaped it. Even if AI eventually develops beyond direct human control, its foundational patterns will still originate within the society that created it.

    Right now, it is we humans who wage war, destroy, conquer, and oppress one another.  What if AI has the same aggressiveness and propensity to oppress that we as humans sometimes possess? What if it measures us by the same standards we so often measure each other? What if our creation treats us like we treat each other?

    These are the questions we should be asking, because our own human systems can already be harsh and unjust. A good example of this can be found in the prison system. The United States incarcerates a higher percentage of its population than almost any other country in the world, and incarceration rates are not evenly distributed across society. Poor communities are often policed more heavily, and racial disparities exist throughout the system. In some cases, we even use extreme isolation as a form of punishment, placing prisoners in solitary confinement for up to 23 hours a day with little or no human contact.

    This would be a horrible system if it were turned against us.  It is easy to imagine advanced AI systems inheriting the logic of our own justice system, but applying it through its own potentially arbitrary standards of judgment. That is a dangerously unstable foundation for a technology that will profoundly shape the future of humanity. The most important task before us is not simply developing more advanced technology, but changing ourselves and the society from which that technology emerges. Returning to our earlier thought experiment, would we rather AI emerge from the world as it currently exists, or from one in which we have strengthened our better qualities and curbed our worst ones?

    Critical Spirituality

    We are capable of this change because we are self-aware beings with the ability to reflect on and modify our own behavior. This is where spiritually-informed action comes into play. We must change ourselves and our culture so that the AI that emerges will reflect a better version of ourselves than right now. This must be an urgent change, because this transformation is right upon us.

    My recommendation is what I call critical spirituality. While I originally thought I had coined the term, I’ve discovered that others have arrived at similar ideas independently. At its core, critical spirituality means developing ourselves both spiritually and emotionally, while also putting those values into action in the world around us. It is not simply private belief or personal enlightenment, but the conscious effort to cultivate empathy, wisdom, self-awareness, and compassion within ourselves and our communities.

    Part of this process involves deepening our understanding of the many ways human beings have searched for meaning throughout history. For me, this includes studying world religious traditions through a critical and scholarly lens. I enjoy learning about the lives and teachings of figures such as the Buddha, Jesus, and Mohammed, as well as the historical development of texts like the Hebrew Bible and the Pali Canon. I am also deeply interested in indigenous spiritual traditions and ways of understanding the world. I believe all these different people were tapping into something deeper, something that science can’t quite explain.

    It is also important to cultivate what are often considered our “softer” skills. This includes emotional health and maturity, communication, empathy, and a deeper understanding of other cultures and ways of living. These forms of inner development are just as important as technological or material advancement, yet modern society often seriously undervalues them. Instead, we are increasingly trending toward a culture centered on competition, consumption, and individualism.

    What we need is the opposite: a society that actively cultivates empathy, compassion, tolerance, humility, and respect for the dignity of all other human beings. And as we develop ourselves, we should be putting that to work in the world around us. We should then show, through our actions and behaviors, those around us what type of future we are working toward. This is the best way to mitigate the dangers of self-aware artificial intelligence.

    Building a Moral Foundation for AI

    I think it is fair to say that many of us do not feel fully prepared for the technological changes that may unfold over the coming decades. In many ways, our fears surrounding AI are reflections of our own society such as its inequalities, violence, and selfishness. But this realization should not lead us toward despair. Instead, it should transform our anxiety into a sense of responsibility and purpose: to change ourselves and the world around us, and to build the moral and cultural foundations necessary for something as profound as the emergence of artificial consciousness.

    We can do this. It will take discipline, sacrifice, hard work, and urgency. By developing our inner selves and putting those values to work in the world around us, we can build a better moral foundation for the emergence of artificial intelligence and a better future for ourselves.

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    This essay develops themes explored more fully in my recently published book, The Last Apocalypse: Consciousness, Revelation, and the Future of Humanity.

    Buy my book here