Focus Area

Focus AreaAgentic AI & Autonomous Systems

Agentic AI is moving from experimental technology into enterprise infrastructure and the gap between hype and production is where the real conversation lives.

$52B

Projected global agentic AI market by 2030

40%

Enterprise applications expected to embed AI agents by end of 2026

11%

Organizations with AI agents successfully deployed in production

The Moment We're In

The Moment We're InThe pilot-to-production gap is the story of 2026

The generative AI experimentation phase is ending. What's emerging is a structural shift in how enterprises deploy intelligence at scale — systems that reason, plan, and pursue multi-step goals autonomously. Yet most companies are still experimenting, not scaling. 2026 is the inflection point where early architectural decisions determine who leads and who stays stuck in pilot purgatory.

Agentic AI — Express Your Interest

We are shaping this pillar community now. Express your interest and be among the first voices in the conversation.

→ Only 5% of companies achieved AI value at scale despite average GenAI spends of $1.9M in 2024 — what separates the 5% from the 95%?

→ CISOs express deep concern about agent risk, yet most have no mature safeguards — organizations are deploying agents faster than they can secure them.

→ Gartner predicts 40% of agentic AI projects will fail by 2027 because legacy systems can't support modern AI execution demands.

What We are Tracking

Sub-topics inside this pillar

Framework

Agentic frameworks for business transformation

MCP, LangGraph, AutoGen — which orchestration patterns survive enterprise governance, and how do CIOs build guardrails without killing innovation speed?

Operating Model

Autonomous enterprise operating models

Gartner predicts 15% of day-to-day decisions will be made autonomously by 2028 — what does this mean for workforce design in regulated industries like insurance and finance?

Region

Manufacturing transformation in NC

How Triangle-area manufacturers are deploying agent-driven quality control, predictive maintenance, and AI-optimized supply chains.

Lead This Conversation

Working in this space?

We're looking for scientists, founders, and practitioners to write an anchor essay or join ILF Conversations for this pillar.

Agentic AI: A Tool to Accelerate Interdisciplinary Research

By-

Nitish Deshpande, PhD  - Wireless Systems Engineer, Apple · Electrical Engineering (Wireless Communications)
Pallav Ranjan, PhD — Assistant Professor, Civil Engineering, Indian Institute of Technology Bombay

The agentic AI framework opens new avenues for researchers from different backgrounds to work together on real-world problems at the intersection of several disciplines.