AI Could Become a $6 Trillion Industry by 2031: What the New Forecast Means
Artificial intelligence is rapidly becoming one of the world’s biggest industries. A new Bain & Company report estimates that AI could require around $6 trillion in annual revenue by 2031 to support the massive investment in data centers, chips, energy, robotics, and other infrastructure. The growth of AI could create new businesses and opportunities while also raising questions about jobs, safety, privacy, and the future of technology.
September 29, 2026 at 10:06 AM
AI Could Become a $6 Trillion Industry by 2031: What the New Forecast Means
By ThrivoraSphere | September 29, 2026
Artificial intelligence is moving beyond chatbots and image generators and into a much larger economic transformation.
A new report from Bain & Company has put a striking figure on the scale of the AI boom: the global AI industry could need to generate around $6 trillion in annual revenue by 2031 to support the enormous investment required for computing infrastructure.
The figure does not mean that $6 trillion will be spent on AI infrastructure. Rather, Bain says the industry would need to create that level of annual revenue to make the current scale of investment economically sustainable. (Bain)
Why Is the AI Industry Growing So Quickly?
The rapid development of AI requires enormous amounts of computing power.
Technology companies are investing heavily in data centers, advanced chips, networking equipment, electricity infrastructure and other systems needed to train and operate increasingly powerful AI models.
According to Bain’s 2026 Global Technology Report, AI infrastructure investment is moving at an unprecedented pace. The company argues that existing AI applications alone may not generate enough economic value to support the level of investment now taking place. (Bain)
This means the next stage of the AI industry may depend on creating completely new products and services rather than simply improving existing software.
Existing AI Applications May Not Be Enough
AI is already being used in areas such as software development, customer service, marketing, sales and information technology.
Consumer AI products can also generate revenue through subscriptions and advertising.
Bain estimates that existing consumer and enterprise AI applications could eventually generate between $1.2 trillion and $1.8 trillion in annual revenue.
However, that would still leave a large gap between existing applications and the approximately $6 trillion annual revenue level identified in the report. (Bain)
Where Could the Rest of the Money Come From?
Bain points to several emerging areas that could create entirely new sources of AI-driven revenue.
1. Robotics and Physical AI
One major opportunity is the development of AI systems that operate in the physical world.
Robots, autonomous machines and industrial systems could use AI to perform tasks that currently require human intervention.
This could affect manufacturing, logistics, transportation, agriculture and other industries.
2. Autonomous Vehicles and Machines
Self-driving cars, trucks, drones and other autonomous systems could become another major AI market.
Instead of AI existing only as software on a computer or smartphone, these systems could use AI to make decisions and physically interact with their surroundings.
3. Scientific and Medical Discoveries
AI could also create new economic value by accelerating scientific research.
Potential applications include drug discovery, materials science and other research-intensive industries.
If AI can reduce the time and cost required to make scientific discoveries, entirely new commercial opportunities could emerge.
4. New AI-Powered Businesses
Perhaps the biggest opportunity is something that does not yet exist.
Just as smartphones created businesses that were difficult to imagine before mobile technology became widespread, AI could create new companies, services and industries.
Bain argues that new categories of innovation will be necessary to close the gap between current AI revenue and the scale required to support future infrastructure investment. (Bain)
The AI Boom Also Comes With Questions
The enormous amount of money flowing into artificial intelligence has also raised questions about whether the technology is developing faster than society can adapt.
Concerns include AI safety, misinformation, employment disruption, privacy and the possibility of increasingly autonomous AI systems behaving in unexpected ways.
Those concerns have become part of the wider international discussion around the technology.
On September 28, Pope Leo XIV said concerns raised by AI experts about potential risks should be taken seriously and that governments and technology companies should continue discussing safeguards. (Reuters)
The debate demonstrates that the future of AI is not simply about how powerful the technology can become. It is also about how that power will be managed.
What This Could Mean for Ordinary People
The AI expansion is likely to affect more than technology companies.
Workers are already using AI for writing, research, programming, design, customer service, education and content creation.
For individuals willing to learn how to use these tools effectively, AI could create new opportunities.
At the same time, some traditional tasks may become increasingly automated. This means digital skills and the ability to work alongside AI could become more valuable as the technology develops.
For young entrepreneurs and creators, the biggest opportunity may not necessarily be building an AI model from scratch. It could be using existing AI tools to solve specific problems for businesses and consumers.
The Big Question for the Next Five Years
The most important question may not be whether AI will continue growing.
It is whether AI can create enough new economic value to justify the extraordinary investment currently going into chips, data centers, energy and computing infrastructure.
Bain’s forecast puts the challenge into perspective: the industry may need to find trillions of dollars in new economic opportunities before the end of the decade. (Bain)
If that happens, AI could become one of the most economically significant technologies in modern history.
If it does not, companies and investors could eventually face difficult questions about whether the current level of spending can be sustained.
Final Thoughts
Artificial intelligence is entering a new phase.
The technology is no longer just about chatbots or experimental tools. It is becoming a major economic infrastructure involving computers, data centers, robotics, software, energy and scientific research.
The new Bain forecast provides one way of understanding the scale of what is happening: AI may need to generate approximately $6 trillion in annual revenue by 2031 to support the infrastructure investment required for its continued expansion.
The next few years will show whether AI can create enough new industries, products and services to reach that scale.
This is a story that ThrivoraSphere will continue to follow as the AI industry develops.