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Is AI replacing Architects?

Architecture is perhaps the most complex discipline operating in more dimensions than any other coordinated human activity. However with the advancement of artificial intelligence, like every other profession, architects to are worried about the level of automation that has already taken away specific tasks from their roles.

While the ‘Humans are hooked and Machines are learning’, AI and ML are disrupting all manner of industries. Although AI has taken decades to go from crazy lab demos to a finished consumer product — today, there are immense possibilities for the industry to be augmented and enhanced by artificial intelligence. 

The earliest sense of advancement in the construction field came with Building Information Modelling (BIM) — a term that has existed since the 1970s, but came to its penultimate fore in the early 2000s, when Autodesk began popularizing the tag. 

The resulting by-product was the BIM software which is a type of intelligent 3D-modelling process used by architecture, engineering, and construction (AEC) practitioners to design and construct any kind of infrastructure. BIM software includes computer-aided design (CAD software) tools and libraries specifically targeted toward architectural design and construction and goes beyond traditional drawings to generate a fully digital model. 

Over several years the BIM (Building Information Modelling) software has had a huge influence on the day-to-day operations undertaken in an architectural firm

The Parametric design or the programming architecture can scrape through several design styles in no time and can come up with a perfect Zaha style building plan — that would otherwise take years to be designed. 

Over the last few decades, BIM has transformed the roles of engineers, contractors, architects, developers, and consultants by allowing them to communicate the same language and collaborate better. It has quite literally revolutionized both the design process itself and the designs themselves. 

BIM software produces an immense volume of big data, so much so that most architecture firms and their consulting partners don’t know what to do with them. Once AI permeated the technological landscape and bled over into every imaginable business use case — the industry learned to create value by collecting, organizing and storing building-related data (collected from models, simulations, etc.) It is now widely believed, that the scope for innovating the most optimal designs for each construction project becomes completely conceivable.

AI BIM = Optimized [Affinity]

When ‘parametric design’ technology is combined with AI that can actually use 6D BIM-models, and can record the whole life cycle of the building — it can come up with better decisions and insights into project execution by learning from the mistakes of the past.

Today, there are machines that can run through an infinite number of datasets, simulate for each model, pick the best option, verify its efficiency and continue to learn and communicate when introduced with the new autonomous building technology.

AI is the next frontier for architecture
Changes in the demographics, technology and business models have opened up a plethora of far-reaching opportunities for architects to explore areas like urban housing in more ecosystems than ever before.

Let’s have a look at some architectural products augmented and enhanced by AI.

Road Printers
The six meters wide machine that can pave entire streets at once. Naturally, the stones fall on the road directly into the appropriate pattern. The device is simple to handle and can finish the work in no time.

Concrete 3D Printers
3D printing as a core method to fabricate buildings or construction components. At a construction scale, it will have a wide variety of applications within the private, commercial, industrial and public sectors. The concrete 3D printers enable faster construction, lower labor costs, increased accuracy, greater integration of function and less waste produced.

Brick Laying Machine
The bot can lay between 300 to 400 bricks an hour, compared to a human which can only lay around 60 to 75 bricks an hour. It works 5 times faster than a human and can alleviate the labor shortage.

Brick Laying & 3D Printing Concrete Drone
Though in its infancy, researchers from Imperial College London have taken the first step towards making this a reality with their work on a drone that is able to ‘3D print’ while it is in flight.

However efficient bots may be, it will always lag in understanding the personality and the character of the customer — and this is where humans intervene.

Architects with the help of AI can create something different from the one-size-fits-all range of products already in the marketplace, to create more personalized solutions that perfectly align with user needs — but it is the imperfections in our creative decisions that truly makes something personal and truly unique.

What is your opinion about AI in architecture? Do you think AI will either augment or eliminate every profession in the near future?

Let us know by commenting.

To know us in person, reach us on hello@mantralabsglobal.com  

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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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