By Amy Kang
AI has experienced rapid development, aka the “AI boom,” due to a massive expansion of the “hidden” infrastructure needed to run it. That includes new data center space, better computer chip design, and greater access to reliable electrical energy. These advancements explain how rapidly AI is improving and reaching new users.
Companies are putting up a lot of infrastructure to support a lot of new AI systems. This was confirmed by Stanford University’s Institute for Human Centered Artificial Intelligence (HCAI) in their recent report on frontier AI model production. Their latest study states that more than 90% of the major frontier AI models from 2025 came from the industry.
AI systems will do many things. They will be used on a daily basis, in business, and for public service. All of these use cases will increase the demand for all forms of hardware around the world.
When Did The AI Boom Begin?
The AI explosion started with rapid advancements in computing power and machine learning. Many businesses discovered that AI could take care of tasks that previously required humans.
Cloud computing was an important factor in this incredible boom. It allowed companies and even individuals to deploy powerful computers without having to build them themselves.
Will the AI Boom Continue?
Many experts believe that the AI boom will continue for several years. Each year, new opportunities for using AI emerge in areas/sectors that touch on human life.
These areas are healthcare, education, transportation, and manufacturing. This means that companies will continue to look at ways to incorporate AI and infrastructure projects into their operations.
Physical Infrastructure Underpinning AI Advancement
Modern AI relies upon vast networks of:
- Servers
- Fiber optic cables
- Power grids
All of these are key components of today’s cutting-edge AI infrastructure. Today, the tech industry is seeing global investments in AI infrastructure take shape in record time.
Increasing Data Center Activity: Why Is It Growing?
With an increasing amount of workloads created from AI activity, there’s a growing need for data center capacity. AI firms are building new data centers at a rate never seen before.
As they do this, they face two major hurdles: The timely delivery of the necessary equipment and having their sites ready for use. In both cases, if delays occur, it will slow down the project timeline and increase costs.
Luckily, these firms can turn to Stream Mission Critical for help. Stream Mission Critical acts as a logistics general contractor (LGC) for AI manufacturing plants and data center projects. If interested in learning more about Stream Mission Critical, particularly how they use logistics coordination to help clients stay on schedule, feel free to contact them.
Electricity Demand Increases With Increased Use Of AI
The increasing use of AI is also resulting in an increase in electricity consumption. In response, upgrades are underway at many regional power grids all over the country. The upgrades are in place to accommodate the increased demands created by growing levels of AI usage.
Investments in Chip Factories and Global Supply Chains
Advanced chips provide the foundation for most modern AI systems. Here are some reasons why chips are so essential in something called AI infrastructure development:
- Chips process large datasets quickly
- Chips provide rapid model training
- Complex applications can be run on chips
- System efficiency is improved via chips
Chip manufacturers are currently investing in new chip factories around the world. Besides this, they are also improving global supply chains related to the manufacturing of advanced chips.
By doing so, they will manage to decrease risk. Such a strategy lets them create conditions that enable long-term growth within the AI sector.
The Global Competition in Building AI Systems
Large tech companies view AI as a long-term opportunity. Therefore, they are investing large sums in the development of systems that can help them maintain their position relative to competitors. These investments are focused on areas such as:
- Construction of new “AI Ready” buildings
- Expansion of cloud computing projects
- Purchase of advanced microprocessors (chips)
- Upgrades to global networks
As a result, these investments are generating jobs and driving growth in many non-tech-related industries.
How Governments and Private Investors are Looking to Grow AI Innovation
AI technology expansion relies on well-developed infrastructure within several different systems. Examples include data centers, chips, power/energy, and logistics. The scope of this build-out will ultimately determine how AI continues to evolve into the future.
Governments today recognize AI as an important strategic initiative to grow the economy and ensure national security. According to the White House fact sheet, the U.S. government works collaboratively with the private sector to foster innovation in AI.
Additionally, private investors have provided capital for many new initiatives. All these are accelerating both the construction of new infrastructure and the advancement of research related to AI technology.
Frequently Asked Questions
Why Do Some Communities Have Data Centers, Whereas Other Communities Don’t?
The location is determined by several factors. These are the availability of land, a reliable source of power, access to water, and policies that support the development of these types of projects.
Are There Potential Impacts on Local Water Supplies From AI Infrastructure?
Yes. Large data centers typically utilize water-based cooling systems. As such, these cooling systems do place additional demands on regional water resources.
How Does Rapid Expansion in AI Impact Construction Work?
It increases demand for highly-skilled workers in the area where a data center is being set up. These types of projects demand a lot in terms of time from contractors/workers.
Is AI-Related Infrastructure Replacing Traditional Forms of Infrastructure?
No. Rather than replace traditional forms of infrastructure related to it, AI adds to them.
Are There Any Significant Risks Associated With Expanding AI Infrastructure Faster?
There certainly are. The key risks include energy strain, increasing competition for land, and the risk of unequal distribution of economic benefits among communities.
The AI Boom Is Here to Stay
Although the AI boom is driven by technology (it is a digital event), it also relies upon physical systems in the “real” world. As such, infrastructure will become the primary driver of both future growth and performance. This trend is likely to increase as global demands for the application of AI grow.
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