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Today, consumers are getting used to being satisfied quickly. They expect to get what they want. With the rise in on-demand services, convenience has become an unbelievable expectation, and the notion that it is being waited or restricted by outdated systems is becoming a thing of the past. In 2025, flexibility and immediacy cannot be non-sympathetic.
However, organizations and individuals who use artificial intelligence find themselves at the mercy of the centralized providers that dominate the market, primarily the “magnificent 7.” These include major players such as Amazon, Google, Meta, and Microsoft. These key players will provide critical infrastructure and resources to drive AI operations.
Just this week, these same companies announced plans to invest $320 billion in AI. This is 28% higher than last year’s spending. Many may have been expecting China’s Deepseek, but after the CEO proved to sacrifice a fraction of competitor’s claims to encourage CEOs to rethink their budgets The AI platform, which was the AI platform, has occurred.
With Big Tech continuing to make significant financial investments, small businesses still rely on several centralized providers. They have little or no choice but to resort to a small number of companies that control access to these critical resources needed to promote their business.
One of the most pressing concerns when relying on big technology is the possibility that providers may limit access to services or, worse, stop operations without notice. For example, a quick search for “Azure Down” will give you thousands of results, like countless Reddit pages that highlight how often users encounter confusion. Microsoft dedicated pages on the site to provide real-time service status updates.
This lack of control over critical infrastructure can be devastating. In these circumstances, businesses remain vulnerable without access to essential systems. This can result in operational disruption and financial consequences.
As businesses integrate their power over AI, the risk of data breaches and geographical tensions rises. Companies that rely solely on American providers on their AI needs can be vulnerable to tensions between the US and other countries like China. A sudden change in foreign policy could limit access to AI tools, services, or data. These disruptions could be that businesses are in a hurry to adapt to new compliance requirements, potentially hindering their business with a momentary notification.
While some projects dream of being able to invest in computing power running advanced AI models, the reality is that, like advanced graphics processing units, hardware can be millions of dollars. It’s a price tag.
The increased reliance on centralized infrastructure has prompted the search for alternatives that could destroy the Cloud Giants monopoly. Just as decentralized finance has begun access to investments other than traditional financial services, decentralized technology will give businesses more control over the tools and services needed to take the power of AI.
One solution is Exabits, a company that has introduced the concept of decentralized AI. The project focuses on democratizing access to AI by providing computing power and resources to projects across the growing ecosystem. After raising $15 million in seed funding, Exabits integrated 4,000 Nvidia H200 GPUs into the network with trusted execution environment (TEE) capabilities. This integration ensures the highest level of security and ensures that calculations are protected against tampering data.
These high-performance AI Ready GPUs allow Exabit to cope with the growing demand for some of the most ambitious projects on the market. The company has already established strategic partnerships with numerous projects across the sector, cementing its position as a key player in the AI field.
As AI grows, projects can no longer afford to be at the mercy of the world’s largest tech giants. The future of AI will rely on expanding access, and without this shift we risk continuing to rely on a handful of dominant players, leaving projects limited to control and vulnerable. Only by decentralizing AI can we be free from exclusive control and create an inclusive future that is within reach of all.
