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Can NFTs be insured, and who carries the risk?

Nike and RTFKT launched Nike CryptoKicks in the beginning of the year which is a collection of NFT sneakers called the “RFTKT X Nike Dunk Genesis,”. Owners can personalize these sneakers using ‘skin vials’ from different designers by adding new patterns and effects such as flashing lights and floating swooshes. Some of the NFT sneakers have already fetched more than $100,000. With so much spending in the NFT space, the biggest question that needs to be answered is ‘Can NFTs be insured?’

Nike CryptoKicks

The Past and Present

The first NFT-Quantum was published in 2014, but the NFT world has gained a lot of traction in the past year. The Merge created by an anonymous digital artist Pak was sold for a record-breaking $91.8 million in December’21, making it the most expensive Non-Fungible token (NFT) transaction to date. Beeple’s latest masterpiece artwork was sold for $69 million. 

The Merge

According to NFT stats compiled by Chainalysis Inc., the NFT marketplace grew to almost $41 billion in 2021, closing in on conventional art sales. 

The Scam Game

According to a report in Decrypt, the designers of the Big Daddy Ape Club scammed investors out of $1.13 million, making it the largest ‘rug pull’ in Solana blockchain’s history.

Recently, an attacker hacked into the Instagram account of the Bored Ape Yacht Club (BAYC) and stole about $3 million in NFTs. The hacker used a phishing link to steal tokens from victims’ cryptocurrency wallets. 

Non-Fungible Tokens can’t be traded interchangeably due to their unique numbers and codes. Because NFTs are so expensive, hackers and scammers have been actively eyeing the NFT world for their monetary gains. For buyers, digital security has become a serious concern.

Ensuring digital assets is an absolute necessity now, so the question here is whether NFTs can also be insured? The answer is, yes. Buyers may get compensated for fraudulent activities in the following situations:

a)In case, the private key is lost by the owner.

–When an NFT is created, it has dual keys: private and public. The blockchain ledger maintains the public key whereas the private key acts as proof of ownership.

b)When scammers sell replicas and fake digital assets.

c)Damages caused by intervention on the blockchain.

What’s happening in the NFT Insurance space?

Coincover provides corporate and consumer protection for NFTs through an insurance-backed solution. The company protects its partners’ wallets and the NFTs they possess from hacking, phishing, and other illegal activity, while also providing an insurance-backed guarantee in the event that something goes wrong. This is in addition to their disaster recovery service, which is a backup key recovery service that allows NFTs to be recovered in the event of lost passwords.

Due to increased demand from NFT holders seeking security against hacking and theft, Hong Kong-based virtual insurer OneDegree has teamed up with Munich Re to insure digital assets.

Recently, Amulet has secured $6m in its first funding round to provide insurance coverage in the Web 3.0 world which includes NFTs as well. The first Rust-based decentralized finance (DeFi) insurance protocol will utilize Solana’s PoS network to provide insurance service and stable returns. Using its unique Protocol Controlled Underwriting and Future Yield Backed Claim mechanisms, the firm will reduce the risk for underwriting capital providers.

The Challenges

A report by Technavio predicts that the NFT market will grow by $147.24 billion from 2021 to 2026 at a CAGR of 35.27%. With this growing demand for NFTs, there is a pressing need for NFT protection in the virtual world. Ensuring an NFT would be very different from insuring a conventional product or service. Insurers have three key challenges that they need to address when it comes to insuring NFTs:

  1. Uncertainty is involved in the valuation of NFTs since there isn’t any fixed market price. 
  2. Lack of structured and unified legal framework for ensuring NFTs.
  3. Ambiguity in the scope of the risks associated with NFTs is compounded by the fact that technology is evolving at a rapid pace.

The Road Ahead

The dynamics of the NFT market has changed in the past few months. After witnessing a fall in the NFT prices, user expectations have also changed dramatically where NFT utility is the latest lookout for the NFT customers. One of the most common utility is NFT being used as a gaming asset. Be it an art NFT or utility NFT, its loss may have serious repercussions not just for the owner, but also for the entire ecosystem, as NFT may lose its value if it is not secured. Open Sea – the world’s largest NFT marketplace lost $1.7 million worth of NFTs due to a phishing attack. A Bengaluru-based caricature artist found that one of his artworks was listed on Open Sea, without his knowledge. The media and insurance companies have been paying close attention to massive losses like these. NFT owners and creators will seek insurance to protect them as they become more aware of the risks involved in owning digital assets. With pioneers such as Coincover and Amulet leading the way, it’d be intriguing to see how the development unfolds in the NFT insurance space.

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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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