New AI Anthology Offers Perspectives Beyond Revenue
The 2025 book release documents how peer-driven insights shape industry and social views on artificial intelligence.
Updated on Oct. 27, 2026 in Artificial Intelligence
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In 2025, Verizon employee Prabha Jha and 20 peers released The AI Anthology, a collection of essays examining artificial intelligence across various sectors. The project emerged following the authors' participation in the MIT xPRO AI for Senior Executives program.
Why it matters
The publication reflects a shift toward documenting personal and industry-wide perspectives on AI that prioritize societal impact over corporate growth metrics. It highlights how professional networking and peer collaboration can produce insights distinct from traditional research outputs.
The anthology features 20 contributing authors who derived 70% of their program learning from peer-to-peer exchange versus 30% from structured coursework. This collaborative process began during an MIT-hosted salon gathering.
The players
Prabha Jha
A Verizon employee and University of Calcutta graduate who completed the MIT xPRO AI for Senior Executives program.
MIT
A research university that hosts the AI for Senior Executives program and facilitates professional salon gatherings.
Verizon
A telecommunications company that employs Prabha Jha.
The details
The book serves as a repository for diverse viewpoints on how AI alters industrial workflows and social structures. To assemble the text, contributors leveraged their experiences from the MIT xPRO program, where Jha completed coursework alongside a second cohort of 100 peers. Jha supplemented the core curriculum with five additional days of campus-based engagement.
Timeline
The AI Anthology was released in 2025.
MIT published an article regarding the project on October 27, 2026.
The Tech Race
The project follows a pattern of professional cohorts leveraging institutional networking to publish peer-driven discourse on technological trends. It distinguishes itself from industry-standard white papers by prioritizing individual narrative over corporate revenue targets.
Readers interested in executive-level AI education can examine the peer-driven insights documented in the book. The anthology is currently available as a retrospective resource for those analyzing the 2025 landscape of AI adoption.
The takeaway
The project suggests that mid-career executive education is increasingly serving as an incubator for non-corporate AI discourse. Professionals should monitor similar cohorts emerging from executive AI programs as potential indicators of shifting industry sentiment.
Further reading
For broader trends in enterprise-grade machine learning and workforce education, see our Artificial Intelligence section.
Source note: This article includes information reported by MIT News | Massachusetts Institute of Technology.
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