Healthcare, finance, education, and industry will lead the adoption of tailored artificial intelligence models, opening up new opportunities for partners, integrators, and technology providers in the B2B ecosystem.

Artificial intelligence is entering a new phase of maturity in which personalization is no longer an option but a strategic requirement. In 2026, the focus will clearly shift toward AI models tailored to each sector, capable of responding to specific business needs and generating tangible competitive advantages, according to technology industry forecasts.

This paradigm shift, which will be addressed in depth in Big Data & AI at Tech Show Madridon November 4 and 5 at IFEMA Madrid, represents a direct opportunity for the channel, which will play a key role in the implementation, integration, and operation of these solutions.

From generic to specialized model: a strategic shift

Industry experts point out that general-purpose AI models are beginning to show limitations when applied to critical contexts. The trend is toward solutions trained with industry-specific data, capable of improving accuracy, operational efficiency, and decision-making.

From a B2B perspective, this implies a change in the conversation with customers: it is no longer enough to deploy AI capabilities; it is necessary to design architectures adapted to specific processes, with in-depth knowledge of the sector.

Furthermore, it is predicted that by 2027 more than 50% of AI models will be industry-specific, reinforcing the urgency for partners and suppliers to develop verticalization in their offerings.

Sectors where personalization will have the greatest impact

Healthcare: precision and advanced diagnostics

Personalized AI will enable medical images or clinical data to be analyzed with greater reliability, reducing errors and supporting critical decisions. Models trained with specific healthcare datasets can detect complex anomalies that would go unnoticed with generic approaches.

For the channel, this opens up opportunities in infrastructure projects, data governance, regulatory compliance, and edge deployments.

Finance: risk, fraud, and predictive analytics

In banking and insurance, personalization will improve fraud detection, risk management, and hyperautomation of regulatory processes. Entities will demand solutions with a high level of explainability and security, which increases the value of specialized integrators.

Education: adaptive learning at scale

Sector-specific models will facilitate personalized learning experiences, performance analytics, and content optimization. For technology providers, this translates into smart platform projects and managed services.

Industry: operational efficiency and predictive maintenance

In industrial settings, tailored AI will enable the optimization of supply chains, predictive maintenance, and quality control, driving digital transformation initiatives and smart factories.

Implications for the channel: new capabilities and new business models

The evolution toward sector-specific AI requires the partner ecosystem to strengthen several key areas:

• Vertical specialization and knowledge of the client's business
• Data integration and governance capabilities
• Managed services and continuous model operation
• Results-oriented strategic consulting
• Regulatory compliance and security

In addition, the growing demand for AI workload infrastructure, from cloud to edge, will generate additional opportunities in hardware, platforms, and associated services.

A structural change in the relationship between technology and business

The adoption of customized AI models reflects a more profound change: artificial intelligence is shifting from being an experimental tool to a central driver of business transformation. In this context, the channel will not only implement technology, but will also act as a strategic partner in defining use cases and generating value.

Looking ahead to 2026, the question is no longer whether organizations will adopt sector-specific AI, but rather which players will be ready to accompany them in this process. Professional events such as Big Data & AI will serve as a meeting point to discuss trends, real cases, and opportunities in a market entering a decisive phase.