Worldwide spending on artificial intelligence is forecast to reach about $2.59 trillion in 2026, a 47 percent jump, with infrastructure such as servers and chips making up the largest share, according to Gartner.
Spending on artificial intelligence is on course to reach a striking new high in 2026. According to a new forecast, businesses and other organizations around the world are set to pour record sums into the technology over the course of the year ahead.
The projection puts the scale of the current wave of investment into sharp focus. It suggests that artificial intelligence has moved firmly from a promising idea into one of the single largest areas of technology spending anywhere in the world today.
A trillion dollar market
According to the research firm Gartner, worldwide spending on artificial intelligence is forecast to reach around 2.59 trillion US dollars in 2026. That figure represents an increase of about 47 percent compared with the level recorded in the previous year.
An increase on that scale means close to a trillion dollars of additional spending being added in a single year. The forecast was set out by Gartner, with distinguished vice president analyst John-David Lovelock among those commenting on the figures.
Infrastructure leads the way
One of the most striking findings concerns where the money is actually going. According to Gartner, vendor driven infrastructure that supports the technology accounts for more than 45 percent of all of the spending recorded in this particular area.
That infrastructure covers a broad range of components. The forecast lists optimized cloud services, optimized servers, network fabric, processing semiconductors and a range of connected devices as making up this large and rapidly growing category of spend.
Servers set to dominate
Within that infrastructure, one segment stands out for its expected growth. According to the forecast, spending on optimized servers is set to triple over the next five years, going on to become the single largest subsegment of the entire market.
That points to enormous continued demand for the specialized hardware needed to train and run modern systems. Building and equipping the data centers that house this hardware has become a major undertaking in its own right for many operators.
More money for models and agents
Beyond the hardware, organizations are also increasing what they spend on the software side. According to Gartner, enterprises are expected to more than double their spending on generative models and on so called agents during the course of 2026.
That shift is expected to add around 6 billion US dollars in spending over the year. It reflects a growing appetite among businesses to move from simply experimenting with the technology towards putting it to work in their everyday operations.
What it means for the industry
Taken together, the figures describe a market that has reached a remarkable scale in a relatively short space of time. For technology companies, the forecast points to a period of strong demand across hardware, software and services alike.
At the same time, spending on this scale raises longer term questions. Businesses investing heavily will be watching closely to see whether the technology delivers the kind of returns that justify the very large sums now being committed to it.
Looking ahead
For now, the direction of travel described by the forecast is clear enough. Artificial intelligence has become one of the defining areas of technology investment, and the money flowing into it currently shows little sign of slowing down.
Been following spending and this helps.
Keep following Ethan BrooksHer next filing reaches you the moment it publishes, on her own subdomain.
Follow