How Technology is Disrupting the Construction Industry
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The rate of digital disruption is escalating in almost every industry. However, despite being one of the fastest-growing industries globally—construction has been one of the last to get hit.
Today’s infographic from Raconteur ranks the adoption of emerging technologies that will have a major impact on the industry’s processes and bottom line. The technologies help solve four major challenge areas that the construction industry struggles with: productivity, safety and training, labor shortages, and collaboration.
Which technologies could improve the lives of industry workers, and which technologies may pose a threat to their jobs?
Towards a New Dimension
Output from the global construction industry is expected to rise to $12.7 trillion in 2022, up from $10.6 trillion in 2017. Despite this promising outlook, the industry has gained only 1% of productivity in the last 20 years due to lack of digitization. This creates an opportunity for an added $1.6 trillion by innovating in this area.
According to the infographic, the industry is divided when it comes to the current state of digital transformation. Almost half (46%) of construction companies self-identify as having been on a path towards digital transformation for some time, while 41% see their company as only in the very early stages of digital transformation.
The Spectrum of Tech Adoption
The technology adoption spectrum ranks construction companies by their stages of innovation and rate of technological adoption, using data from the KPMG Future-Ready Index.
Technologies that have the highest adoption rates in the top 20% of companies (considered innovative leaders), are as follows:
- Building Information Modeling (BIM): 86%
- Basic data analytics: 83%
- Project management and information systems: 79%
- Drones: 72%
- Mobile platforms: 69%
BIM is a 3D modeling system that creates depictions of manufacturing facilities, buildings, and highways. While 3D modeling is widely used in construction today, next-generation 5D BIM represents both the physical and functional aspects of a project, and considers a project’s cost and schedule in addition to the standard parameters of 3D BIM.
Meanwhile, for the bottom 20% of companies (considered behind the curve), the rate of adoption can be low or even non-existent for many key technologies. Here are the ones with the lowest adoption rates within this group:
- Cognitive machine learning: 0%
- Robotics: 0%
- Artificial intelligence: 0%
- Machine engineering and design: 3%
- 3D printing: 7%
Both employers and employees are hesitant about adopting new technologies, due in part to the lack of knowledge surrounding them. More specifically, 29% of companies agree that lack of knowledge is a barrier for adoption, while 38% believe that it is due to lack of budget. A further 38% believe it is the lack of support from employees that inhibits mass adoption.
Despite these barriers, 52% of innovation leaders claim that technologies like artificial intelligence and cognitive machine learning will become commonplace within the industry over the next five years.
The Long-term Impact
Construction companies are now in a race to go digital, with the hope that technology will enhance profitability while also fending off competitors.
In total, 70% of construction companies believe that those who do not adopt digital tools will go out of business. Further, most believe digitization will improve productivity, speed of delivery, and help meet sustainability challenges.
Infographic: Generative AI Explained by AI
What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.
Generative AI Explained by AI
After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.
We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.
Everything in the infographic above – from illustrations and icons to the text descriptions—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.
Without further ado, generative AI as explained by generative AI.
Generative AI: An Introduction
Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.
Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.
Generative AI has a wide range of applications, including:
- Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
- Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
- Audio: Generative AI can generate new music tracks, sound effects, and even voice acting
People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.
Generative AI has the potential to disrupt several industries, including:
- Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
- Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
- Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences
Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.
In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.
How This Article Was Created
This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.
In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.
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