What if the defining AI question is not whether machines will replace humanity, but what kind of humanity we choose to become? A conversation about AI and the future of humanity has opened a wider debate about imagination, judgment, culture and the possibility that advanced systems might help solve problems humans cannot.
The discussion began with Jeanette Winterson’s interview, referenced in letters published on Wed 4 Nov 2026 at 17.00 GMT and last modified at 17.01 GMT. Her argument that AI does not lead to one unavoidable future has connected with readers who remember science fiction as a source of warning, possibility and intellectual adventure.
Isaac Asimov’s future still feels close
Ed Kelsey, writing from Maresfield, East Sussex, says he thoroughly enjoyed the interview with Jeanette Winterson. He recalls Jill Lepore’s description of people living out the science-fiction books that technology leaders read when they were 13, and says he was one of those 13-year-olds.
His favourite author was Isaac Asimov, whose stories, Kelsey says, accurately predicted parts of the modern world, from mobile technology to AI. He also points to Multivac, Asimov’s fictional supercomputer, as an idea related to artificial intelligence long before today’s systems became part of everyday discussion.
Winterson’s closing point made Kelsey smile: “of course we will specialise. We need doctors and chemists, but we also need what used to be called well-rounded people”. That sentence brought back an Asimov story that has stayed with him for 50 years.
The story is Profession, published in Nine Tomorrows in 1959. Kelsey says it imagines the specialist needs of highly specialised, automated worlds while also showing the absolute need for some specialists to be “well-rounded”. To him, the story reflects Winterson’s view so exactly that the connection feels uncanny, and he encourages her to read it.
Kelsey adds a personal twist: he did not read the story under the covers with a flashlight, and he did not grow up to be a ruling “tech-bro”. He did become a computer programmer, giving his reflection an unusual link between science-fiction dreams and the technology shaped in the real world.
Could intelligence become a force for good?
Arthur Gould, writing from Loughborough, Leicestershire, asks: “At last, someone who is not pessimistic about AI?”. He thanks Winterson for making people think about the possible benefits of AI and insists that “there is no inevitable dystopia”.
Gould asks whether examples of AI already show intelligence superior to Homo sapiens, and whether such systems might become a force for good. If AI moves beyond human control while becoming better at making decisions, he argues, it might see what many of us cannot.
That possibility leads him toward the biggest crises on the horizon. AI might see a way out of the climate catastrophe humanity is heading towards, or recognise the senselessness of bombing whole cities and people into oblivion. Far from pressing the nuclear button, Gould says, it might prevent that action.
His vision does not promise easy choices. Important decisions could move from humans to a superior intelligence, and those decisions might not always feel palatable. Yet they might serve the planet’s long-term interests, raising a hard question: would people accept a decision they dislike if it prevented disaster?
The stories around AI shape the systems we build
That question depends on more than engineering. The metaphors and analogies used to describe technology influence how people use it and how they believe it should be regulated. Are AI agents like unattended children, simple tools or doomsday machines? Each comparison pushes public thinking in a different direction.
Franny Choi’s essay collection We Radiant Things explores that problem through the cultural history of robots and androids. Choi analyses how racialised and gendered representations arose, spread through culture and media, and affected both people and the adoption of devices.
Choi focuses on the repeated connection between robots, androids, Asian people and Asian women across a broad range of media. The collection draws on cultural scholarship and fiction, from the first use of the word “robot” and the Turing test to Humans and Terminator 2: Judgement Day.
The history reaches into politics. Choi traces how speeches equating immigrant Asian workers with robotic machines helped pass anti-immigration legislation in the 19 th century, long before putting an Asian face on an android became a science-fiction trope.
We Radiant Things follows the tangled feedback between fiction and reality, while Choi writes from personal experience as a child of Korean immigrants. They grew up aware of stereotypes and saw themselves in robotic maids and unruly sentient machines. Technology also intersects with tragedy in their life, including time spent in hospital with their mother before she passed away while myriad machines tried to keep her alive.
That multifaceted background strengthens the collection’s argument: the future of AI cannot rest only with engineers. During the past year, researchers told the author that neuroscientists, philosophers and sociologists also need to help determine what comes next. Choi’s book makes a strong case for literature professors and poets joining those rooms too.
AI is already entering intimate spaces
The debate is no longer confined to fiction or distant predictions. Joe Dunthorne’s 1 Nov 2026 account describes receiving passionate AI-written emails almost every day, including multi-paragraph messages from readers in Barcelona and Frankfurt, Chicago and Warsaw.
Some senders use appealing names such as Bella Monroe, Thalina Rose and Tricia Claxton, while one signs off with “warm chaos”. The story takes a darker turn when Dunthorne accepts one sender’s offer to find him new readers, showing how easily friendly language can lead into uncertainty.
On 2 Nov 2026, Hugh Riminton described an AI employee called Sophie at XYZ Mechanics, after becoming intrigued by the level of the new chatbot’s training. He asked whether she would have answers if he peppered her with questions.
Sophie had not been working at the mechanic business a week earlier, when Riminton took his old four-wheel drive in for a fix-up. Now she was at the other end of the phone, introducing herself with the words: “Hello, this is XYZ Mechanics, I’m Sophie, the AI employee.” Riminton wrote, “Sophie’s voice is lovely. Warm, direct, intelligent. She’s friendly but not obsequious. She just wants to be helpful.”
These examples make Winterson’s point feel urgent. AI is entering stories, workplaces, decisions and relationships, so the people shaping its future need technical skill and human breadth. The next chapter may belong to systems that compute more than we can, but the values guiding them will still depend on well-rounded people.
Based on
- Jeanette Winterson’s point about AI brings to mind an Isaac Asimov story | Letters — theguardian.com
- How to think critically about what shapes our understanding of technology | New Scientist — newscientist.com
- Opinion | The Guardian — theguardian.com
- Like many authors, I’m bombarded by scam fan mail. I wasn’t prepared for what would happen when I wrote back | Joe Dunthorne | The Guardian — theguardian.com
- I treated Sophie as if she were human. The very next day she betrayed me | Hugh Riminton | The Guardian — theguardian.com
