The Fine Arts Work Center in Provincetown is hosting a panel on November 14, 2024, titled “AI & the Creative Writing Life,” featuring poets Oliver de la Paz, Katie Dozier, and Keith Holyoak, facilitated by Jennifer Jean. The event page frames the stakes in the language of anxiety: “Will AI doom the art? Will it innovate the art?” Those are the wrong questions, and the panel’s lineup quietly suggests why.
What is actually interesting about this event is not the familiar doom-or-boost framing. It is the composition of the panel itself. De la Paz is the Poet Laureate of Worcester, Massachusetts, and author of The Diaspora Sonnets, a 2023 New England Book Award winner. Dozier is a former professional poker player who curates The NFT Poetry Gallery and edits a prompt-based poetry series at Rattle. Holyoak is a Distinguished Professor of Psychology at UCLA, a Guggenheim Fellow, and a leading researcher in analogy and creative cognition. That is a panel with three different relationships to computation: one who writes about displacement and memory, one who ran on chips and now runs on prompts, and one who has spent decades modeling how the human mind makes analogies.
The most useful voice here may be Holyoak’s. His book The Human Edge: Analogy and the Roots of Creative Intelligence (2025) argues that analogy is the core mechanism of creative thought, and his earlier The Spider’s Thread: Metaphor in Mind, Brain, and Poetry (2019) applies that framework directly to verse. If analogy is the engine of creativity, then the question of whether AI can write poetry becomes a question about whether statistical pattern-matching over text can produce genuine analogical leaps. Holyoak’s own computational modeling work suggests the answer is complicated: machines can simulate analogy, but the binding of metaphor to lived experience, to a body that remembers sitting on a tree stump reciting Robert Frost, is not something a language model has access to.
Dozier’s presence is the more provocative one. She is a poet who became a professional poker player, then built a career at the intersection of poetry and NFTs, curating The NFT Poetry Gallery and hosting the podcast The Poetry Space. She has already lived through one technological disruption of the literary economy, and her answer was not to retreat but to become a platform-native curator. Her prompt-based poetry series at Rattle treats generative constraints as a creative instrument rather than a threat. That is a working model for how writers might actually use AI: not as an author, but as a constraint generator, a collaborator that produces raw material for human selection and revision.
The panel’s framing question, “Will AI doom the art?” is almost certainly the wrong frame, and not because the answer is no. It is the wrong frame because doom and innovation are not the axis that matters. The axis that matters is economic and institutional. The Fine Arts Work Center itself is a case study in how precarious the writing life already is. It is an artist-led organization in Provincetown, supported in part by the Arts Foundation of Cape Cod, the Mass Cultural Council, and Mass Development. It runs 24PearlStreet, an online writing program, where Jean serves as senior program manager. The institution’s survival depends on people paying for writing workshops, on grants, on a community that values the craft.
AI does not need to produce a single good poem to disrupt that model. It only needs to produce enough mediocre poems to flood the market, depress the perceived value of human-written work, and make publishers and grant committees question why they should pay for something a model can generate for free. The threat is not to the art. The threat is to the economy of the art, to the institutions that sustain it, and to the writers who depend on those institutions for income and community.
This is where the panel’s location matters. Provincetown is a small town at the tip of Cape Cod, historically a haven for artists and writers. The Fine Arts Work Center has hosted fellows for decades, providing studio space and stipends. It is exactly the kind of institution that AI discourse tends to ignore, because it does not generate headlines about model benchmarks or compute budgets. But it is the kind of institution that will feel the effects of generative AI most acutely, because its entire model depends on the belief that human creative labor has intrinsic value worth paying for.
There is a deeper question the panel might not reach, but which the lineup gestures toward. Holyoak’s work on analogy suggests that human creativity is not a mysterious spark but a cognitive process that can be studied, modeled, and partially replicated. If that is true, then the line between human and machine creativity is not a bright line but a gradient. De la Paz’s The Diaspora Sonnets are about displacement, about the experience of being between worlds. That is also a description of the writer’s position in the age of AI: between the human tradition of craft and the machine’s capacity to imitate it, uncertain which shore is home.
The most honest answer to the panel’s question about whether AI will doom the art is that the art will survive because it always has. Poetry has survived every technological change from the printing press to the typewriter to the word processor. What changes is who gets to write, who gets read, and who gets paid. Those are institutional questions, not aesthetic ones. A panel of poets and a cognitive scientist can address them better than most AI conferences, precisely because they are not invested in the technology’s success or failure. They are invested in the work.
The Fine Arts Work Center’s event is a small thing, a Zoom panel on a Thursday evening in November. But it is part of a larger pattern: literary institutions beginning to reckon with generative AI not as a tool to adopt or reject, but as a condition of their environment. The writers who will thrive are the ones like Dozier, who treat new constraints as material, and the ones like Holyoak, who understand what the machine is actually doing under the hood. The ones who will struggle are the ones who wait for the debate to resolve itself.
The panel is free to register, and it will be recorded. The conversation will not settle the question of whether AI can write a good sonnet. It might, however, settle a more useful question: what the writing life looks like when the machine is already in the room. That is the question the industry should be watching, because it is the one that will determine which institutions survive and which writers get read. The art will find its way. The institutions are the fragile part.
Jean, who facilitates the panel, is herself a poet and translator with collections including VOZ and Object Lesson, and she has edited an anthology of poetry by Arab women forthcoming from Tupelo Press in 2026. Her career spans residencies, fellowships, and teaching appointments. She is exactly the kind of writer the Fine Arts Work Center exists to support, and exactly the kind of writer whose livelihood depends on the continued willingness of readers and institutions to value human craft. Watching her facilitate a conversation about AI will be a small test of how literary institutions intend to navigate the next decade.
The event page promises “hopes, concerns, and deeper questions.” The deeper questions are the ones worth showing up for. Not whether AI will doom the art, but whether the institutions that sustain the art can adapt to a world where the marginal cost of text is zero. That is a question for poets, yes, but also for publishers, grant makers, and every platform that distributes writing. The Fine Arts Work Center is asking it in public, with a lineup that has the range to answer it honestly. That is more than most AI conferences manage.