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Gartner's 9 trends that will define technology in 2026
Technology has officially entered a new cycle.
If the last decade was marked by digitalization, the turn of the millennium towards 2026 inaugurates a much deeper movement: the consolidation of Artificial Intelligence as a structural axis of the digital economy.
According to Gartner , the trends predicted for this year are not just about technological acceleration, but about a paradigm shift.
We are moving from an experimental phase to what experts are already calling operational AI, supported by more powerful infrastructures, more specialized models, and rigorous security and governance practices.
Companies that understand this transition early will gain a significant advantage. Those that delay will face competitive constraints that are difficult to overcome.
Next, an in-depth analysis of the nine strategic trends shaping 2026 and what they represent for the future of business.
The explosion of advanced models, especially multimodal and specialized models, has only become possible thanks to the convergence of three factors: supercomputing platforms, intelligent hybrid architectures, and components dedicated to AI processing.
This evolution doesn't just affect technology companies.
It redefines entire sectors:
- Pharmaceutical companies are simulating molecules with greater precision
- Financial institutions run risk models in minutes, not hours
- Agribusiness and logistics incorporate highly granular weather forecasts
- Retailers are testing pricing strategies in near real-time
Supercomputing thus becomes a strategic asset and no longer a luxury for large global players.
2026 is the year in which processing ceases to be a bottleneck and becomes an enabler of continuous innovation.
Traditional automation relied on rigid workflows. AI-driven automation is evolving into something more sophisticated: ecosystems of autonomous agents, each specializing in specific microtasks or domains.
The competition will no longer be between companies that use AI and companies that don't.
It will be between organizations capable of orchestrating agents, enabling faster decisions, reducing bottlenecks, achieving scalability without a proportional increase in teams, and processes that adapt to the context in real time.
Multi-agent systems represent the beginning of self-adjusting operations, a milestone in modern management.
The era of generalist models was essential for democratizing AI.
But the era of Domain-Specific Language Models (DSLMs) ushers in a different level of maturity: models that encompass terminology, processes, regulatory cycles, and the nuances of each industry.
The effect is transformative:
- more precision in decision making
- less regulatory risk
- greater confidence in business areas
- ability to customize at scale
DSLMs (Data-Driven Learning Management Systems) are the synthesis of proprietary data, operational context, and specialized intelligence, and will be one of the biggest competitive differentiators in the coming years.
The widespread adoption of AI expands the risk surface for organizations.
Models can be manipulated, agents can perform unforeseen actions, and data can leak within seemingly harmless prompts.
Therefore, Gartner points to the emergence of AI security platforms , which unify:
- model governance
- audit of shares
- usage policies
- behavioral detection
- protection against attacks targeting AI
If the cloud demanded new layers of security in 2015, AI in 2026 will require a completely new approach: more dynamic, contextual, and adapted to digital behavior.
Software development will also enter a new phase in 2026.
We're not just talking about using AI as a support tool, but about adopting a continuous operational model, the logic of the AI Factory applied to engineering.
In this scenario, generative AI doesn't just create code or prototypes. It becomes integrated into the end-to-end process, functioning as a permanent augmenting layer for human teams.
The consequence is structural:
- exponentially shorter development cycles
- drastic reduction of technical rework
- Direct involvement of business experts in building solutions
- Replacing large engineering structures with lean and highly productive teams
AI Factory transforms the way companies think about technology.
Projects cease to be long and costly initiatives and become recurring delivery flows, with AI supporting analysis, generation, testing, and continuous software evolution.
Gartner projects that by 2030, 80% of organizations will migrate to this industrialized innovation model, supported by AI Factory platforms and native AI practices.
With this, IT ceases to be merely an executor of demands and assumes a much more strategic role: orchestrating the corporate AI Factory, accelerating deliveries, and definitively aligning technology and business results.
2026 therefore marks the beginning of an era in which development is no longer a bottleneck.
It is a continuous engine of competitiveness.
With the explosion of AI workloads across multiple clouds, data is no longer vulnerable only "at rest" or "in transit."
It can now be exposed while being processed.
Confidential computing solves this problem by ensuring encryption throughout the entire data lifecycle, including within the processor.
This progress is critical for sectors such as:
- financial
- health
- legal
- governments
- global supply chain
By 2026, privacy will no longer be a requirement: it will become a cornerstone of enterprise AI architecture .
AI is moving beyond screens to influence the physical environment — and that changes everything.
Drones, robots, industrial machines, and smart devices are gaining cognitive autonomy. They are able to:
- understanding context
- making decisions
- interact with dynamic environments
- perform tasks with precision
This creates a new cycle of industrial productivity and ushers in the era of distributed operational intelligence .
AI models make it possible to identify anomalous behaviors and attack patterns before they are activated.
This radically changes the nature of cybersecurity.
With this approach, organizations experience fewer incidents, faster responses, a drastic reduction in impact, and attacks neutralized before they manifest.
Cybersecurity is no longer a cost center but a mechanism for preserving value.
With AI generating text, code, images, and even decisions, the fundamental question ceases to be "who produced this?"
and becomes:
"Can I trust this?"
Digital provenance becomes essential for:
- avoid fraud
- prove origin
- guarantee integrity
- meet regulatory requirements
Digital governance is now a competitive differentiator and a financial risk when neglected.
Analyzing the nine trends, one point becomes clear:
AI, data, cloud, and security are no longer parallel paths. They now form a single ecosystem.
The new era demands prepared infrastructure, specialized models, rigorous governance, adaptive security practices, and deep integration between technology and business.
It's no longer about implementing tools.
It's about building long-term organizational capabilities.
Companies that move now will not only survive the new technological cycle. They will set the pace for their own industry.
Skyone operates precisely where these trends converge, offering a unified platform that combines:
- AI-ready cloud computing
- Data governance and organization for DSLMs and agents
- modern layers of protection and monitoring
- infrastructure for creating and running intelligent agents
- End-to-end traceability and control
In the scenario that will solidify in 2026, this integration will no longer be an advantage.
It will become a prerequisite for competing .
Skyone empowers companies to operate at this new level, reducing complexity and accelerating the adoption of AI in a secure, governed, and scalable way.
2026 doesn't just inaugurate another technological cycle.
It ushers in the era of mature AI , where innovation, security, and digital sovereignty cease to be isolated initiatives and begin to define the future of organizations.
Companies that understand the depth of this movement now will not just be following trends. They will be shaping the market in which they operate.
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