In Buckminster Fuller’s imaginatively scientific “Operating Manual for Spaceship Earth” (1969), he looks forward to automation and computation, and I’ve no doubt he would have welcomed the automation we now have at our disposal called Artificial Intelligence, or AI.
Man is going to be displaced altogether as a specialist by the computer. Man himself is being forced to reestablish, employ, and enjoy his innate “comprehensivity.” Coping with the totality of Spaceship Earth and universe is ahead for all of us. Evolution is apparently intent that man fulfill a much greater destiny than that of being a simple muscle and reflex machine – a slave automaton – automation displaces the automatons.
How to describe the common reader’s understanding of AI? We use AI, often unwittingly. Like it or not, it’s increasingly shaping our online experience. If we use it directly, via the Gemini or ChatGPT apps, we might notice the fine print: “ChatGPT can make mistakes. Check important info.” And, “Gemini can make mistakes, so double check it.” When I asked Gemini about the possibility of making mistakes just now, it responded, in part, with this:
“The fact that I can make mistakes is a core part of how I function.”
I’m not quite sure what that means, but it gives me pause. And I’m not at all sure how well I understand AI, what it is, how it works, where it’s headed. What to do? Ask AI?
AI is already significantly affecting, often asymmetrically, with both positive and negative results, every part of our daily lives: in schools, where it’s being encouraged or banned; in finance, where it’s considered a smart bet or a bubble; and in healthcare. In June of 2025, Bill Gates, speaking at the African Union, talked about including AI in solutions to health care problems:
Gates spoke about the transformative potential of artificial intelligence, noting its relevance for the continent’s future. He praised Africa’s young innovators, saying he was “seeing young people in Africa embracing this, and thinking about how it applies to the problems that they want to solve.” Drawing a parallel to the continent’s mobile banking revolution, he added, “Africa largely skipped traditional banking and now you have a chance, as you build your next generation healthcare systems, to think about how AI is built into that.”
If the banking comparison seems simple, consider how the distribution of health care works, the availability of diagnosis and providers, particularly in rural areas.
How to balance that potential good with the possibilities of bad outcomes? But assuming AI takes off on its own, as in some sci-fi doomsday predicting scenarios, how is that any different from what human agency has already spread? Fuller addressed this question:
Of course, our failures are a consequence of many factors, but possibly one of the most important is the fact that society operates on the theory that specialization is the key to success, not realizing that specialization precludes comprehensive thinking. This means that the potentially-integratable-techno-economic advantages accruing to society from the myriad specializations are not comprehended integratively and therefore are not realized, or they are realized only in negative ways, in new weaponry or the industrial support only of war faring.
Am I hopeful, as Gates seems to be, or do I see AI’s future as business as usual, as the usual hands spoil it? Perceived winners and losers already seem to be taking sides. Fuller anticipated such, and here he talks about what we might call “guaranteed income”:
“It is easy to demonstrate to those who will take the time and the trouble to unbias their thoughts that automation swiftly can multiply the physical energy part of wealth much more rapidly and profusely than can man’s muscle and brain-reflexed-manually-controlled production. On the other hand humans alone can foresee, integrate, and anticipate the new tasks to be done by the progressively automated wealth-producing machinery. To take advantage of the fabulous magnitudes of real wealth waiting to be employed intelligently by humans and unblock automation’s postponement by organized labor we must give each human who is or becomes unemployed a life fellowship in research and development or in just simple thinking. Man must be able to dare to think truthfully and to act accordingly without fear of losing his franchise to live. The use of mind fellowships will permit humans comprehensively to expand and accelerate scientific exploration and experimental prototype development. For every 100,000 employed in research and development, or just plain thinking, one probably will make a breakthrough that will more than pay for the other 99,999 fellowships. Thus, production will no longer be impeded by humans trying to do what machines can do better. Contrariwise, omni-automated and inanimately powered production will unleash humanity’s unique capability – its metaphysical capability. Historically speaking, these steps will be taken within the next decade. There is no doubt about it. But not without much social crisis and consequent educational experience and discovery concerning the nature of our unlimited wealth.”
“AI at the Crossroads” means, depending on which road we turn down, AI can either unfold Fuller’s wealth or create more disparities — and the outcome depends on choices being made in our moment. But first we have to figure out what it is, if we still have time. Let’s hope there’s not a pact with that strange figure Robert Johnson met up with at his crossroads.





Hamlet, talking to Rosencrantz and Guildenstern: “I could be bounded in a nut shell and count myself a king of infinite space, were it not that I have bad dreams” (Act I, Scene II). Hamlet’s body does not seem to be the problem. Uploading Hamlet’s mind into a supercomputer and dispensing with his body would only make matters worse.