In a recent LinkedIn post, Noemi Kis✨ highlights a burgeoning trend where everyday tasks are being used to train artificial intelligence for household robots, a development she argues is often overlooked. Kis✨ points out that while the advancement of robotics is exciting, the human effort behind this progress is significant and often goes unacknowledged.
The Hidden Cost of Robot Training
Noemi Kis✨ draws attention to companies like Shift, which offers free apartment cleaning services, but with a crucial condition: the cleaning process is recorded via a head-mounted camera. This footage is then meticulously used to train household robots. As Kis✨ explains:
“The cleaner wears a head-mounted camera. Every minute of footage is used to train household robots.”
This practice, while raising privacy considerations that companies address by blurring sensitive information, is fundamentally about data acquisition for AI training. Kis✨ notes that this is not an isolated incident, referencing DoorDash’s app, Tasks, which allows users to record themselves performing various chores for modest pay, thereby generating valuable data.
Repetitive Tasks as the Foundation for AI
The core of Kis✨’s argument centers on the individuals performing these tasks. She posits that the very people whose jobs are at risk of automation are the ones currently providing the essential training data for the robots that will eventually replace them. This phenomenon is most prevalent in work that is easily standardized and repetitive.
“This is mostly happening in work that’s repetitive and easy to standardize.”
According to Kis✨, this phase of AI development relies heavily on human input for tasks that are straightforward to codify. High-skill work, conversely, remains largely in the human domain for now. Kis✨ emphasizes the subtle nature of these transformative changes:
“As someone who’s spent years watching industries shift, I’ve learned that the most important changes always start small. Small enough that most people miss them.”
The Future of Work and Automation
Kis✨’s analysis suggests a pattern of technological evolution where significant disruptions begin unnoticed. The data generated from seemingly mundane tasks like cleaning or walking a dog is, in her view, incredibly valuable for the development of sophisticated robotics.
“The pay is modest. But the data they’re generating is worth a fortune.”
She urges readers to consider the implications of this trend, where the groundwork for advanced automation is being laid by the very workforce it stands to displace. This perspective challenges a common narrative that often focuses solely on the technological achievement rather than the human labor underpinning it. As Kis✨ points out, the current ‘teachers’ of robots are the future ‘replaced’ workforce, a dynamic that warrants closer examination as the field of robotics continues its rapid advance.
📝 About This Content
This article is based on insights shared by Noemi Kis✨ on LinkedIn.
📅 Originally posted on July 28, 2026 | View original post on LinkedIn →