This article addresses AI’s structural footprint, the labor conditions behind annotation and subcontracting, and the AI 2027 scenarios, weighing what is already real against what remains speculative, and closes on concrete pathways for adopting AI without giving up trust.
Abstract
NOTHING WILL ESCAPE ARTIFICIAL INTELLIGENCE - Artificial intelligence is not a rupture but the acceleration of a very old drive: to measure, classify, and predict. From the Antikythera mechanism to Hollerith’s punch cards, up to the 1956 Dartmouth conference that coined the term, simulating cognitive tasks is nothing new. What sets generative AI apart is its speed: adoption among American adults reached 45% by late 2024, then 54.6% in 2025, nearly three times faster than the PC at the same stage. This article examines that phenomenon and its impact on the gemstone and jewelry trade. Drawing a parallel with the twentieth-century diamond monopoly, it shows how AI’s value chain reproduces a familiar three-layer architecture: raw material (compute, dominated by Nvidia), the distribution channel (cloud, concentrated among hyperscalers), and the narrative, once controlled by maisons through campaigns like “A Diamond Is Forever”, now increasingly shaped by generative engines. Concrete cases, Chaumet, Louis Vuitton, Tiffany, Richemont, illustrate this integration. The article seeks to lay out the findings
of a balanced analysis of real-world impacts. It addresses AI’s structural footprint, the labor conditions behind annotation and subcontracting, and the AI 2027 scenarios, weighing what is already real against what remains speculative.It closes on concrete pathways for adopting AI without giving up trust.
This article, a book review-cum-critique, raises the question: should AI be referred to as “Artificial Intelligence” or as “Algorithmic Intelligence”? The document under review, Antiqua et Nova, is issued by the Vatican’s Dicastery for the Doctrine of the Faith and the Dicastery for Culture and Education (2025) and it...
L. Muthuma· Writing the Arts & Human...· 0 citations
The Embodied Hijack hypothesis is advanced, arguing that the goal is epistemic alignment — bringing how users interpret these systems into correspondence with what these systems actually are — and that this alignment is achieved through interface design rather than user education.
Sheila L. Macrine· Frontiers in Psychology· 0 citations
Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI) have
revolutionised the interaction between humans, knowledge and technology. What
once needed years of formal education, years of institutional access or specialist's
help is now obtained, translated, explained, reorganised in seconds. This
un...
Srija Chakraborty· International Journal of Mod...· 0 citations
This essay sketches the class structure that a large-scale deployment of artificial intelligence might produce in advanced economies. Because AI is a general-purpose technology, its aggregate effects cannot be predicted, but three consequences can be reasoned through: output per unit of live labor will rise; a surplus...
Kurt Wonnegut’s Player Piano is a cautionary tale about the social and ethical consequences of unchecked automation that raises pressing questions about what work means when machines can perform tasks more efficiently than humans, and how societies might cope with the loss of purpose and community that meaningful labor...
Eva Lindell, Marcus Persson, Kristina Palm· Nordic Journal of Working Li...· 0 citations
By explaining what is 'deep' about deep learning and showing that AI is more maths than magic, the briefing aims to equip the reader with the understanding they need to engage in clear-headed reflection about AI's opportunities and challenges.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026