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The Impact of Covid-19 on the Global Economy and Insurance

3 minutes, 35 seconds read

The pandemic COVID-19 or the well known “Coronavirus” is gradually stretching its limbs throughout the world. COVID-19 has now spread to more than 180 countries with its epicentre in China. Coronavirus confirmed cases reported globally, adds up to 8,60,181 (1st April 2020) and is still on the rise. With the death toll of 42,345(1st April 2020) the insurance companies have to take it on the chin. 

Public gatherings have been banned in several places. For instance, Mipim — the world’s largest property fair is postponed to the later part of the year. Similarly, the Mobile World Conference in Barcelona is cancelled altogether. From the IPL to the world’s premier basketball league to a 250-year-old parade and sprawling festivals, all national and international events are either cancelled or kept at hold indefinitely. Almost every business (likewise insurance) is impacted with corona outbreak and any business cannot rebound in a day.

Referring to the 2008 financial crisis when credit markets seized up, Mr Muri- Wood said, “The only thing we’ve ever had which was bigger than this was the banking crisis.” 

Businesses, Corona and Insurance

Many businesses have insurance policies that are meant to kick in when disaster strikes. But few of those policies are likely to cover pandemic outbreaks. Business interruption insurance, the coverage typically availed by the companies, as part of their property policies, pays cash to make up for lost revenue when a business has to halt operations unexpectedly.

Despite the fact that most policies won’t pay out if people cancel their travel due to coronavirus; in February, Post Office Insurance saw a year on year rise in sales of policies of 168% and CoverForYou saw a 150% increase.

Queries on new policies have sharply spiked up to 60% since fresh cases of Covid19 reports.

“Globally, we have seen such cases that impact large populations there is an increased push from consumers to get themselves covered. We have seen the same happen here as well in the wave of fresh cases being detected” 

Pankaj Verma, head marketing & underwriting operations, SBI General Insurance.

After the epidemics of SARS in 2003, Ebola in 2014 and Zika in 2015 — insurance companies realized that business-interruption claims could become unwise if they covered closures related to outbreaks of disease. Since then, insurers have taken steps to exclude epidemics from their policy.

Though epidemics are excluded from many business insurance policies, as recession threatens the global economy along with rising insolvencies, all sorts of companies, from airlines to retailers are coming under strain.

The insurers refused to comment, but Atradius said it is expected that corporate insolvencies will grow 2.4% globally in 2020, majorly resulting from the coronavirus outbreak.

The harsh reality

Perhaps, it’s too late to buy coverage for the current outbreak. Insurance companies do agree to take the brunt of the situation and pay the decontamination cost after the outbreak, but would tightly limit the amounts.

With unprecedented turmoil the industry created by the outbreak caused global airlines to cancel thousands of flights. Companies could choose a policy that would cover the deaths from an epidemic, when it passed a pre-estimated threshold, or when a government body — anywhere in the world — ordered a lockdown or travel ban. The policies are intended as custom contracts, so the company would choose according to their own risks.

Coface chief executive Xavier Durand mentioned that hotels and airlines will have to take the maximum brunt of the epidemic outbreak, while Euler Hermes saw coronavirus costing $320 billion of trade losses every quarter this year.

This indicates that companies will have to bear the losses themselves. It can be either directly or in the form of self-insurance funds (large companies often set aside some funds for emergencies).

LV, the insurance giant in the UK, have stopped selling travel insurance with immediate effect as a result of the coronavirus outbreak.

“We can’t insure a burning building,” Mr Ryan Christian Ryan of the risk advisory firm Marsh says.

The bottom line

The Coronavirus have adversely impacted the economy worldwide. From time to time, violent demonstrations slowed down the flood of travellers to a trickle and transactions grind to a halt. 

McKinsey anticipates recession until the end of Q2 because of large-scale quarantines, travel restrictions, and social-distancing leading to a sharp fall in consumer and business spending. However, because of banks’ strong capitalization and macroprudential supervision, a full-scale banking crisis is averted.

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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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