Montreal-based artist Audrey-Eve Goulet was initially unsure as she watched an AI-powered robotic arm reproduce certainly one of her works, however stated the end result was “actually spectacular.”
“I used to be shocked, in a great way,” she stated, as she watched the machine seize a brush, dip it right into a pot of paint, and replicate her work stroke after meticulous stroke.
Goulet had agreed to work with Acrylic Robotics, a Montreal-based firm that claims it goals to assist artists earn a residing by making high-quality replicas of their work, with their consent.
Firm founder Chloe Ryan instructed AFP the thought started after coming to a discouraging realization about her personal earnings.
She stated she first beginning promoting work at 14, however grew annoyed on the weeks, and even months, required to make each bit.
“I did the again of the serviette math, and I stated, ‘Oh my god, I am making $2 an hour.'”
Ryan studied mechanical robotics at Montreal’s McGill College, and commenced contemplating how robots might assist reproduce her personal work, earlier than launching an organization to make the know-how accessible to artists worldwide.
‘The final layer’
Assessing the robotic’s efficiency, Goulet stated, “It actually seems like certainly one of my works.”
“I like that you may see the strokes… You may actually see the place the comb went and the form it drew,” she stated, conceding the robotically producing model had “much less story behind it” than her personal.

“My remaining piece may need gone by way of 5 lives earlier than attending to this, however the robotic solely sees the final layer,” she stated.
Ryan stated that by replicating “stroke chronology” her firm’s reproductions can seize “the aura of a chunk…in a manner {that a} photograph print merely by no means might.”
To breed Goulet’s piece, an Acrylic Robotics specialist recreated the work utilizing digital brush strokes and pigments, creating directions to information the robotic.
Ryan plans to advance the know-how, permitting artists to add photos straight.
She desires to create an on-demand market the place purchasers might make particular requests, like a portrait of their canine within the fashion of their favourite artist.
‘Waitlist’
Ryan stated she understands the inventive neighborhood’s considerations about generative AI, however burdened her firm is grounded within the so-called “Three Cs” demanded by artists: consent, credit score and compensation.
“Lots of people, earlier than they perceive the why of what we’re constructing, see a robotic portray and go, ‘Oh my god, that is the worst factor I’ve ever seen,'” she instructed AFP.
Acrylic Robotics is targeted on boosting artist earnings, particularly for individuals who do not break into the elite gallery circuit, Ryan stated.

When approaching an artist, she generally suggests they ship a couple of reference items—work that has already been accomplished.
When she tells them, “I’ll simply deposit cash in your checking account on the finish of each month…. There is a hotter reception,” she stated.
The worth of reproductions can fluctuate, averaging between a pair hundred to a thousand {dollars}.
The income cut up with the artist fluctuates.
An rising artist who merely uploads an image of a chunk with restricted worth could get 5 p.c of a sale, however that determine might rise to 50% for a outstanding artist with their very own base of patrons.
“Now we have a waitlist of about 500 artists,” Ryan stated.
Michael Kearns, a pc and knowledge science professor on the College of Pennsylvania, questioned whether or not the know-how would in the end decrease the worth of the product.
Kearns, a part of an Amazon scholarship program that funds lecturers to work on technological challenges, stated he understood the push to “let many extra individuals make an honest residing from (artwork).”
However, he cautioned, “whenever you make one thing that was scarce ample, it will change individuals’s perceptions about its worth.”
© 2025 AFP
Quotation:
AI-backed robotic portray goals to spice up artist earnings (2025, September 19)
retrieved 19 September 2025
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