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Incipient Insurance: Attitudinal Variations amongst Gen Z in India

There is no getting around the fact that India, despite being one of the world’s leading economies has an abysmally low level of penetration when it comes to Insurance.

As a new cohort makes its way to working age and begins to confront the many dilemmas of adulthood, Insurance seems to have taken center stage. A looming pandemic, coupled with the younger generation being witness to the ill effects of rapid urbanization and sedentary lifestyles has highlighted the importance of insurance to India’s GenZ population.

Tiered Expectations

Urban India hosts about 30% of the Indian population, with the remaining 70% being distributed amongst Tier 2/Tier 3 cities and rural areas. In the absence of definitive data regarding GenZ’s outlook towards Insurance, we shall rely on the prevailing attitudes demonstrated by millennials (who are astoundingly close to GenZ when it comes to outlook and behavior).

An online study conducted by Policybazaar revealed that respondents from Tier 2 and Tier 3 cities were far more likely to renew their health and term insurance when compared to their Tier 1 counterparts (89% versus 77%). 

A large part of this could be attributed to Tier 2/Tier 3 cities being more grounded in familial values, and higher incidences of diseased folk not having access to advanced medical care in times of distress. Furthermore, Tier 2/Tier 3 cities are less likely to feature more avenues of distractions thereby inculcating a more conservative attitude amongst the younger folks in these places, particularly GenZ. 

This attitude has a direct bearing on the kind of services that GenZ customers from smaller towns expect. Since they are not as informed, they tend to seek more information and niche insurance plans that are uniquely suited to their needs. Agents who can empathize with them are also a welcome addition to it. 

As for Tier 1 residents, those who come from relatively affluent backgrounds are less likely to worry about insurance as they have a solid safety net to fall back on. Consequently, expectations have less to do with the variety and depth of insurance plans, and more to do with slick, delightful user interfaces that are on par with the other consumer-facing apps that they are used to.

Several respondents, across both Tier 1 and Tier 2/Tier 3 cities who were hospitalized experienced the distress of not having a proper insurance plan (or a plan with limited coverage) and were jolted into seeking a comprehensive insurance plan. The collective sentiment is that health coverage ought to hover anywhere between ₹15 – ₹20 Lakhs to ensure that medical expenses do not end up denting one’s savings.

Despite the ongoing economic slump, GenZ has woken up to the perils of putting the horse before the cart and is more likely to prioritize their health over almost everything else. The insurance market could very well experience a period where demand is relatively inelastic as Insurance becomes a non-negotiable for many young Indians.

InsurTech firms and a redefined Insurance distribution playbook only mean that the age-old model of deployed agents and brokers is going to be upended. GenZ, being a digitally savvy and precocious lot is more likely to undertake extensive research and seek out honest advisors before purchasing an insurance product.

Insurance, Disrupted

Technology has finally caught up to the insurance industry and is working its way toward disrupting it at a record pace. Improved connectivity and radically improved customer service in adjacent industries have raised the bar for satisfying GenZ. This is the primary factor that is driving the expectations and attitudes of GenZ when it comes to Insurance.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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