Mexican enterprises are officially entering the “execution phase” of artificial intelligence, shifting their focus away from experimental pilot projects toward full-scale operational deployment. According to new research presented by Dell Technologies at the 2026 Dell Technologies Forum in Mexico City, the number of local organizations running AI at scale has more than doubled, jumping from 9% in 2025 to 19% today.
While this momentum suggests a significant leap in maturity, experts warn that the primary hurdle for businesses has fundamentally changed. The challenge is no longer about securing sufficient processing power or choosing the “right” model; it is about data readiness, security, and the intelligent placement of AI workloads.
## The Data Bottleneck and Infrastructure Challenges
Although processing capabilities have become more accessible, organizational data architecture remains a major point of friction. The Dell study, conducted alongside Vanson Bourne, reveals that 76% of Mexican firms find the process of managing, cleaning, and preparing data far more complex than the actual processing of AI models.
This complexity is compounded by fragmented digital environments. With workloads currently spread across private data centers, public clouds, and the growing edge, nearly two-thirds of surveyed leaders admitted that their existing infrastructure requires significant upgrades before they can reliably support advanced AI initiatives. Juan Francisco Aguilar, Director General of Dell Technologies Mexico, emphasized that the winners in this space will be the companies that treat data center modernization, AI scaling, and workplace digital transformation as a single, cohesive strategy rather than siloed projects.
## Security as a Non-Negotiable Foundation
As AI integration accelerates, security has transitioned from an optional add-on to the most critical prerequisite for investment. The threat landscape is evolving rapidly, with Dell reporting that over 94% of modern ransomware attacks are now specifically targeting backup systems.
This reality is reflected in market behavior: 95% of Mexican organizations now prioritize platform procurement based on integrated data protection and cyber-resilience features. Furthermore, the survey identified a phenomenon dubbed “Shadow AI,” where 83% of employees are accessing AI tools through personal devices, and over half are purchasing unauthorized software using corporate credit cards. Dell views this not as a simple case of policy violation, but as a clear “demand signal” that organizations must address by providing secure, governed internal platforms to capture worker productivity while mitigating security risks.
## The Shift to Hybrid “Tokenomics”
The economics of AI—what Dell calls “tokenomics”—are also forcing a rethink of where applications should run. While the cost per AI token has plummeted by 80% over the past year, the volume of token consumption has surged 320-fold due to the rise of advanced reasoning models.
This massive increase in usage means that relying solely on public cloud resources can become prohibitively expensive for certain workflows. Dell is advocating for a hybrid “AI Factory” model where sensitive or high-volume tasks remain on local, secure infrastructure—such as the company’s new Deskside Agentic AI workstations—while only necessary tasks utilize the public cloud. By processing data locally on dedicated hardware, organizations can effectively reduce their marginal token costs to zero, allowing them to scale their agentic AI projects without spiraling operational expenses.
As the Mexican market moves forward, the consensus is clear: success in 2026 will be defined by the ability to integrate security, data management, and cost-efficient hardware into a unified, resilient corporate strategy.
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