As Apple and Meta push forward with plans to integrate high-performance artificial intelligence into personal computers, concerns grow over the billions already allocated to data centers—and what this technological evolution might imply for Jamaica’s economy.
The Computer Is Becoming the Data Centre
For a long time, powerful computers kept inside special buildings have been the main way artificial intelligence works. When you ask an AI assistant a question, the request is usually sent to a distant server via the internet, processed there, and then the answer is sent back. These specialized facilities need a lot of physical support, such as land, electricity, cooling equipment, communication lines, and backup power sources.
However, progress in processor technology and AI software means that more capable models can now run on devices closer to the user. Instead of routing every request to a distant data center, companies might eventually handle complex tasks on office computers. This would allow them to review documents, answer customer questions, and analyze business data without every single action needing an online connection.
Apple and Meta Take Different Approaches
Apple’s June 2026 reveal of its third generation foundation models showed how far local AI has come. The lineup includes a 20 billion parameter model that uses advanced techniques to activate only part of its brain during specific tasks. This makes it possible to run sophisticated AI on powerful personal hardware. But Apple isn’t abandoning the cloud; they also expanded server-side AI, including partnerships with Google Cloud and NVIDIA for heavy-duty tasks.
Meta is taking a different path by enabling developers and companies to host AI models on their own infrastructure. This could let organizations control their AI systems more closely instead of relying solely on major tech providers. There is a major contradiction, however. In July 2026, Meta announced building a huge AI data center in Alberta, Canada, with over CAD $13 billion invested. The facility will have a one gigawatt power capacity. So, the company is helping decentralize AI while still pouring billions into massive centralized facilities.
These two approaches can coexist. Smaller systems might handle daily operations, while large centers stay essential for training advanced models and supporting intensive computing. The Growing Pressure on Land and Electricity
Even with efficiency gains, global data center demand is expected to keep rising. The International Energy Agency reported that data centers used about 485 terawatt-hours of electricity globally in 2025. This is projected to hit roughly 950 terawatt-hours by 2030, almost doubling in five years. The agency also noted that AI-focused data centers saw a 50 percent jump in power use during 2025.
These numbers highlight the scale of the challenge for governments, energy suppliers, and property developers. Large computing centers are more than just tech projects; they are major physical developments needing suitable sites, reliable power, big investments, and supporting infrastructure. In some nations, expanding these centers has sparked debates about grid stress, water usage, and land competition. Local computing might eventually change the size and type of facilities needed, but current data doesn’t show a peak in demand for large data centers.
Emerging Benefits and Practical Limits
Local processing offers benefits for privacy and independence, especially where internet access is poor or companies want to keep sensitive data secure. This doesn’t mean businesses will stop using the internet or remote services, but rather that the mix between on-site and cloud computing will shift.
Local AI Processing Reduces Reliance on Data Centers
A shift in artificial intelligence is advancing as tech companies develop systems capable of running sophisticated AI directly on personal computers. This trend, highlighted in a Kingston announcement on October 24, 2026, could decrease demand for large-scale data centers globally. The BBC’s AI Decoded programme examined how Apple and Meta’s approaches enable powerful computing without traditional cloud dependencies, potentially easing infrastructure and resource pressures.
Implications for Jamaica’s Development
For property experts, builders, and small businesses, running AI locally could help with admin tasks, paperwork, customer service, and record analysis. A real estate firm, for instance, might use an office-based AI system to check property details, organize listings, or spot errors in records while keeping internal data under direct control.
For investors and developers, this trend raises questions about future commercial property needs. If more computing happens inside offices, the demand for specialized computing services could shift. Meanwhile, rising digital activity might create chances for telecom hubs, smaller regional data centers, and buildings built for advanced technology.
There are limits to these possibilities. Powerful computing equipment still requires capital investment, electricity, maintenance and technical expertise. In Jamaica, where energy costs and infrastructure reliability are important considerations for commercial operations, those practical requirements would remain central to any decision to adopt local AI.
There is currently insufficient evidence to suggest that decentralised artificial intelligence will substantially reduce Jamaica’s future electricity demand or alter its property market in the near term.
The emerging development is less about the disappearance of data centres and more about where computing power will be located. The industry appears to be moving towards a combination of powerful personal devices, privately operated business systems and enormous centralised facilities.
Each serves a different purpose, and the relative importance of those systems may change as hardware becomes more capable and AI software becomes more efficient. For governments and investors, the challenge will be understanding how quickly that balance develops before committing substantial resources to infrastructure designed to last for decades.
For Jamaica, the opportunity may lie in making advanced computing more accessible to businesses while ensuring that electricity, telecommunications and commercial infrastructure can support changing technological demands. The buildings that power artificial intelligence are unlikely to disappear. But the next generation of AI may increasingly operate inside the buildings where people already live and work. And that could prove just as significant as the construction of another giant data centre.
