APPLIED AI RESEARCH

Research & Publications

Investigating autonomous agentic enterprises, transformer model architectures, and the macroeconomic impacts of artificial intelligence.

Google Scholar ↗
Citations, academic indexing & author metrics
ORCID iD ↗
0009-0001-4122-6394 · Researcher identity
Zenodo Repository ↗
Open-access research DOIs and dataset archives

Published Research Papers

PUBLISHED RESEARCH PAPER DOI: 10.5281/zenodo.21923448

AI-Driven Business Transformation: Automation, Productivity, Employment, and the Emergence of the Agentic Enterprise

Author: Divyansh Shukla · Published on Zenodo · Topic: Artificial Intelligence, Agentic Workflows, Enterprise Productivity

Abstract & Summary

This research paper explores how artificial intelligence and autonomous agentic workflows are driving fundamental structural changes within business operations. It analyzes the transition from task-specific automated software to self-orchestrating "Agentic Enterprises," evaluating key metrics around operational throughput, labor displacement dynamics, productivity compounding, and corporate infrastructure adaptation.

PUBLISHED RESEARCH PAPER (2026) DOI: 10.5281/zenodo.20553932

The Evolution, Capabilities, Limitations, and Future of Large Language Models (2026): A Comprehensive Review

Author: Divyansh Shukla · Year: 2026 · Published on Zenodo · Topic: Large Language Models, Generative AI, Evaluation

Abstract & Summary

A rigorous synthesis reviewing state-of-the-art Large Language Model (LLM) architectures in 2026. The paper examines transformer optimization techniques, emergent reasoning heuristics, hallucination mitigation methods, context-window expansion capabilities, and the practical challenges of deploying LLMs in mission-critical software environments.

Active Research Domains

Large Language Models (LLMs) Agentic Architecture Enterprise Automation Generative AI Heuristics Human-AI Collaboration AI Macroeconomics RAG & Vector Search Multi-Agent Systems