Technology trends 2027: Gartner’s top 10 and what to do about them

On 20 October 2026, at its IT Symposium/Xpo in Orlando, Gartner presented the ten technology trends 2027 that, in its view, will do most to transform organisations over the next five years. The list has a clear common thread: AI is no longer the trend, it is the backdrop. The debate now is how to control it, which models to use for each task and how to avoid being locked into a single provider.

The timing matters. A day earlier, Gartner published a survey in which only 13% of CIOs said their organisation had realised significant or transformational value from AI. Gene Alvarez, the analyst who presented the list, described the underlying problem: AI systems operate without an architecture to frame them, generate software faster than anyone can review it and open access paths with credentials nobody manages. In this article I go through the ten trends and, above all, what a company operating in a regulated environment should do about each one.

Gartner’s ten technology trends for 2027

Gartner presents them as a list, without grouping them. To read them with some judgement I arrange them in four blocks and leave the most distant one aside. The grouping is mine, not Gartner’s.

1. Large quantitative models.
2. Speech reasoning models.
3. World models.
4. AI context platforms.
5. Agent coding harness.
6. AI agent identity.
7. Autonomous exposure remediation.
8. Sovereign tech.
9. Disposable applications.
10. Wetware as a service.

Specialised models beyond the LLM

Large quantitative models

Gartner warns that using general-purpose language models for numerical tasks creates serious accuracy and compliance risks, because the model gets things right by probability, not by calculation. Large quantitative models are hybrid architectures built to work with numerical data, and they make it possible to simulate scenarios instead of reacting to problems. Gartner itself mentions regulated sectors such as finance and healthcare.

This is the most relevant trend for banking and insurance. If someone in your organisation currently uses a chat assistant for forecasts, risk calculations or reconciliations, that is the first case to review. And remember that a model involved in creditworthiness assessment or in pricing life and health insurance falls under the high-risk category of the EU AI Act. Before choosing, you need to evaluate AI models with your own data and criteria.

Speech reasoning models

These are voice AI systems that reason directly on audio and track context and intent across the whole conversation. Gartner points out that voice is still the enterprise’s highest-volume channel and that a decade of customer service automation has not delivered the accuracy or resolution rates required.

The potential for customer service is obvious, but there are two prerequisites: recorded voice is personal data under the GDPR, and the EU AI Act requires people to be told that they are talking to an AI system.

World models

World models understand space, time and causality. They allow an agent to simulate future states and anticipate the consequences of its actions before carrying them out. Investment in robotics, autonomous vehicles and spatial computing is driving them.

For most companies this is a trend to watch, not to budget for in 2027. It makes sense earlier in logistics, manufacturing or agri-food with robotics.

Governing agents

Three of the ten trends respond to the same problem: agents already act, and hardly anyone controls them well.

AI context platforms

They give agents the contextual knowledge they need to interpret their inputs, decide and act in line with business objectives. Without that layer, Gartner refers to overprivileged agents, compliance failures, low trust and excessive token consumption. It also predicts that by 2027 organisations that prioritise semantics in their AI-ready data will increase agentic AI accuracy by up to 80% and reduce costs by up to 60%.

It is the natural evolution of context engineering: context stops being hand-crafted for each project and becomes a shared platform. And it depends on something unglamorous, data governance that keeps definitions, owners and quality in place.

Agent coding harness

Gartner defines it as a closed-loop control system that governs what coding agents do across the whole development lifecycle. Without it, developers end up manually checking what the machine produces and the productivity gain disappears.

It matches what I see in projects: the bottleneck is no longer writing code, it is reviewing it. A good harness combines automated tests, security analysis, policies on what the agent may touch and traceability for every change. I cover this in vibe coding in the enterprise and in AI in the secure development lifecycle.

AI agent identity

Agents carry out tasks on their own and on behalf of several people, and legacy identity systems cannot provide just-in-time access. Gartner predicts that by 2028, 25% of enterprise security breaches will trace back to AI agent abuse, due to unmanaged machine privileges and legacy credential practices. Its answer is to replace static credentials with dynamic, policy-controlled access, and to link model, prompts and credentials to every action the agent takes.

For me this is the most urgent trend on the list. Each agent needs its own identity, least privilege and a person accountable for it. If an agent uses an employee’s credentials, traceability is impossible. I explain it in detail in non-human identities and AI agents.

Security and resilience

Autonomous exposure remediation

This is an integrated set of capabilities that combines AI and automation to find, prioritise and fix vulnerabilities across the company’s digital estate, including automatically testing and deploying patches, or virtual patches, into production.

It comes at a good time from a regulatory point of view. NIS2 includes vulnerability handling among the required measures, as I explain in patch and vulnerability management under NIS2, and since 11 September 2026 the Cyber Resilience Act has required manufacturers to report actively exploited vulnerabilities within 24 hours. But in a regulated environment, deploying to production without human intervention has to coexist with change management. My recommendation: automate detection and prioritisation now, and introduce automatic remediation in phases, starting with low-risk assets and with tested rollback.

Sovereign tech

Gartner uses this term for hardware, software, databases and AI models that are technically and legally designed to offer realistic exit strategies from critical providers and avoid lock-in. It predicts that by 2030 over 75% of organisations based outside the United States will have adopted digital sovereignty strategies, moving critical workloads to reduce geopolitical and vendor lock-in risks.

For a European company this is not only geopolitics, it is regulation. DORA requires exit plans for ICT services supporting critical or important functions, NIS2 requires you to assess your supply chain and the Data Act requires cloud providers to make switching to another provider easier. Sovereign tech is what turns that exit plan into something you can actually execute rather than a document.

Changing how software is built

Disposable applications

These are applications built for a specific purpose and designed to be retired once that purpose is fulfilled or no longer relevant. According to Gartner, they change how software is bought, designed and budgeted for: the application portfolio stops being a long-term investment and becomes a dynamic system.

Managed well, they reduce technical debt. Managed badly, they multiply shadow IT, the same dynamic I describe in shadow AI in the company. The key is that the application is disposable, not the controls: an inventory, a retirement date defined at design time, data that outlives the application and evidence for audit.

Wetware as a service

This is remote, cloud-based access to living or synthetic biological systems that perform computation. Gartner presents it as a response to the energy demands of an AI that cannot keep growing indefinitely on silicon. It is the most distant trend on the list: no company should budget for it in 2027, following its progress is enough.

How to prioritise them in 2027

They do not all call for the same response. This is how I would rank them for a medium-sized or large company in a regulated sector:

• Act now: AI agent identity, AI context platforms and the agent coding harness. If you have agents in production, or pilots about to move to production, the risk already exists.
• Plan in 2027: autonomous exposure remediation, sovereign tech and disposable applications. They require changes to processes, contracts and budgets.
• Pilot if it fits your sector: large quantitative models in finance and insurance, and speech models in customer service.
• Watch: world models and wetware as a service.

Mistakes to avoid

• Reading the list as a shopping list. These are five-year trends, not products you must have in 2027.
• Starting with the most eye-catching one. World models are spectacular; agent identity is what prevents the incident.
• Automating without governance. Fixing vulnerabilities or creating applications autonomously, with no change control or inventory, only moves the risk elsewhere.
• Forgetting regulation. In Europe, several of these trends already have an obligation behind them: the EU AI Act, NIS2, DORA, the Cyber Resilience Act and the Data Act.

Conclusion: less novelty, more control

Gartner’s technology trends 2027 confirm a change of phase. In recent years the question was what AI could do. The 2027 list focuses on how to govern it, which model to use for each task and how not to depend on a single provider. For anyone running technology in a regulated sector this is good news: much of what regulation requires coincides with what Gartner considers strategic. If you are interested in how it fits with the evolution of project management, I covered it in IT project management trends for 2026.

If you need to decide which trends to tackle and in what order, I can help you turn them into a realistic roadmap for your organisation. Let’s talk.

Frequently asked questions about technology trends 2027