How Agentic AI Will Rewire Both Industrial and Human Workflows

Over the past year, Artificial Intelligence (AI) has generated more heat, hype, and headlines than any other technology. But beneath the noise, two quiet revolutions are forming—revolutions that could reorganise industries, labour markets, and even national competitiveness.

These two revolutions arise from the convergence of Agentic AI with two new technological forces: digital twins and Large Behavioural Models (LBMs). Together, they form the backbone of the next wave of transformation in factories, logistics networks, offices, and households.

This is the real story of the AI transition. And it is only just beginning.


The First Convergence: Agentic AI + Digital Twins

The industrial world is about to become self-optimising

Digital twins—high-fidelity virtual replicas of factories, warehouses, production lines, or even entire cities—have existed for almost a decade. But their true power remained dormant until the rise of Agentic AI: AI systems capable of planning, simulating actions, and making autonomous decisions.

When digital twins meet agentic AI, a new kind of industrial engine emerges.

Agentic AI can now:

test multiple scenarios inside the digital twin before touching the real system

predict machine failures well in advance

optimise production schedules

redesign workflows with full awareness of constraints

coordinate fleets, energy usage, and material flows

reduce downtime to near zero


If industrial automation was the 20th century’s great productivity booster, this convergence may become the 21st century’s equivalent.


Global impact

Companies like Siemens, Tesla, Amazon Robotics, Airbus, and Hyundai are already moving in this direction. The payoff is immense: faster prototyping, safer operations, dramatic cost reductions, and supply-chain resilience.

Countries with strong manufacturing bases—Japan, South Korea, Germany, and increasingly China—stand to gain the most, as digital twins allow them to modernise existing industrial infrastructure rather than rebuild it.


India: an early but promising adapter

India’s manufacturing sector lags in digital twin penetration, but greenfield projects give it a surprising advantage. From semiconductor fabs in Gujarat to defence manufacturing corridors in Tamil Nadu and Uttar Pradesh, India could integrate agentic-AI-driven digital twins from day one—leapfrogging legacy systems.

If done right, this convergence could accelerate Make in India 2.0, reduce wastage, and substantially raise productivity in MSME-heavy clusters.


The Second Convergence: Agentic AI + Large Behavioural Models (LBMs)

Productivity gains shift from machines to people

If the first convergence transforms factories and logistics, the second transforms humans.

Large Behavioural Models (LBMs) are emerging as a parallel track to Large Language Models (LLMs). Where LLMs understand and generate language, LBMs understand and model human behaviour—patterns of decision-making, habits, cognitive styles, workflow sequences, and emotional responses.

Combine this with Agentic AI, and we get a new kind of “personalised productivity engine.”

Agentic AI + LBMs can:

map how individuals approach tasks

build personalised learning and working rhythms

break complex goals into steps tailored to a person’s behavioural profile

plan days, weeks, or months of work

monitor burnout or motivational dips

automate routine workflows by predicting user intent

assist HR teams with behavioural insights


This is, effectively, industrial engineering—applied to human workflows.


Global impact

Tech giants are already experimenting with behavioural modelling: from personalised assistants to adaptive learning platforms to “AI secretaries” that manage schedules, summarise work, and suggest next steps.

In advanced economies facing demographic decline—Japan, Europe, South Korea—agentic AI + LBMs may become the primary lever to sustain productivity as workforces shrink.


India: the biggest beneficiary in the long run

India’s workforce is young, diverse, and massive—but also unevenly skilled. The country has long struggled with productivity gaps across sectors.

LBM-driven agentic assistants could:

help millions of workers upgrade skills

assist teachers in understanding student learning patterns

guide small business owners in operational and financial decisions

personalise workflows for knowledge workers

support gig workers with planning and coordination


The gains for India may be larger than for any other major economy—if access and affordability are ensured.


The Strategic Meaning of These Two Convergences

Together, these AI forces reorganise the economic landscape at two levels:

Level 1: Systems

Factories, supply chains, fleets, utilities, ports, and cities become cyber-physical organisms—self-correcting, self-simulating, and increasingly autonomous.

Level 2: Individuals

Business managers, workers, students, teachers, healthcare professionals, creators, etc gain personalised digital assistants capable of modelling their behaviour and optimising their workflows.

This is the emerging dual architecture of the global economy:

Agentic AI + Digital Twin→ Industrial optimisation
Agentic AI + LBM→ Human optimisation  

The first improves machines and systems.
The second improves people.

The country that harnesses both will lead the next wave of economic transformation.


4. A Bird’s-Eye View: What the Future Looks Like

Imagine a near-future scenario:

A factory runs on a digital twin.

An Agentic AI system automatically schedules maintenance, shifts workflow, and adjusts energy usage.

Meanwhile, each human worker has an AI assistant that understands their behavioural patterns, energy cycles, and skill gaps.

The assistant guides them through tasks, training, learning, break times, and workload balancing.


It’s not a science-fiction workplace.
It’s a fully optimised socio-technical ecosystem.

The efficiencies multiply at both ends—machines and humans.


Conclusion: National Growth with Double Boosters

We are entering a decade where AI won't just “assist” people or “automate” processes. Instead, two new engines will drive global growth:

1. Agentic AI + Digital Twins — optimising physical systems

2. Agentic AI + LBMs — optimising human behaviour and productivity


Together, they represent the next major reframing of the AI-driven economy.

And if nations —especially India—recognise it early, this dual convergence may decide who would lead the world in industrial productivity, economic resilience, and social stability.

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