Top 6 Tech Trends 2026

In the past two years, AI has moved from pilot projects to the center of IT strategy, security teams have had to defend systems that barely existed in 2023, and cloud decisions have become as much about cost and control as about speed. For businesses, keeping up no longer means chasing every new tool. It means knowing which shifts deserve real investment.

The stakes are high: nearly 40% of CEOs worry that their companies might not remain economically viable in a decade if they stay on their current trajectory. Here are the six trends shaping IT in 2026 and what they mean in practice.

AI is now a standard part of business. According to McKinsey's State of AI report, adoption climbed from 72% in 2024 to 88% in 2025, and most organizations use AI in at least one business function. But only about a third have scaled it across the enterprise. That gap between “we use AI” and “AI runs our operations” is where the trend is playing out in 2026.

The shift is from chat assistants to AI agents: systems that plan, use tools, and complete multi-step tasks with limited human input. Gartner places AI-native platforms and multiagent systems among its top strategic technology trends for 2026, reflecting how quickly companies are moving from single assistants to coordinated teams of agents.

The same logic is reaching the physical world. Connected devices increasingly analyze data where it is generated and act on it: adjusting settings in smart buildings, rerouting logistics, flagging faults on a production line. AI plus IoT turns passive sensors into systems that anticipate what users and operations need.

As agents take on more responsibility, the questions get harder:

• How do we protect privacy and sensitive data in AI applications?
• Who is accountable when an agent makes a wrong decision?
• How transparent and auditable are AI decisions?
• What is the risk of over-reliance on AI systems?
• How do we support employees whose roles change?

Writing code is no longer the slowest part of building software. AI assistants now generate, review, refactor, and test code, and development pipelines are being redesigned around them. Gartner predicts that by 2030, 80% of organizations will evolve from large engineering teams to smaller, AI-augmented ones.

The result is a shorter path from idea to launch. Competition and customer expectations keep rising, so delays mean losing ground to faster competitors. Teams that combine agile methods with AI tooling can validate concepts, ship an MVP, and iterate in weeks rather than quarters.

Several practices now form the baseline of modern delivery:

• AI-assisted and automated testing.

Automation pays off most in regression testing for large, frequently changing systems, and AI now helps generate and maintain test suites.

Manual effort is the main reason. In State of Test Automation report, manual testing was the most time-consuming activity in the test cycle at 36%, ahead of test failure analysis (26%). This is the kind of effort AI-assisted testing aims to reduce.

Note: Most time-consuming activity within a test cycle. Source: Perfecto, State of Test Automation (2023)

• Low- and no-code platforms

These platforms allow both developers and non-technical users to build solutions more quickly and easily. They do so without requiring extensive programming knowledge. Besides, their user-friendly interfaces and clear design make the development process more accessible.

• Infrastructure as code

It allows developers to automate and manage infrastructure through code, ensuring consistent and repeatable environments. This automation accelerates deployment and reduces manual errors. Additionally, it integrates seamlessly with modern DevOps practices, supporting the rapid and reliable scaling of applications.

Note: automation and AI cannot replace human judgment. People remain essential for usability testing, exploratory testing, reviewing AI-generated code, and handling complex scenarios.

AI is changing both sides of the security equation. Attackers use it for more convincing phishing and deepfake impersonation, while defenders use it to detect and contain threats faster. At the same time, the AI tools employees adopt on their own are creating a new kind of exposure.

The financial impact has been climbing for some time. PwC’s 2027 Global Digital Trust Insights survey found that the share of organizations reporting breach costs of $1 million or more had risen to 36% from 27% the year before:

Costs of organizations' most severe data breach in the past three years:

Note: Costs of organizations’ most severe data breach in the past three years. Source: PwC, 2024 Global Digital Trust Insights.

IBM’s 2025 Cost of a Data Breach Report adds more recent numbers:

• The global average cost of a breach fell to $4.44 million, the first decline in five years, but in the United States it reached a record $10.22 million.
• One in five organizations reported a breach linked to “shadow AI,” meaning unsanctioned AI tools used by employees. Organizations with high levels of shadow AI paid on average $670,000 more per breach.
• Only 37% of organizations have policies to manage AI or detect shadow AI.
• Organizations that used AI and automation extensively in security operations saved an average of $1.9 million per breach.

Security strategy is shifting accordingly. Gartner predicts that more than 50% of enterprises will use dedicated AI security platforms by 2028, and that by 2030 half of all security spending will go to preemptive solutions as organizations move from reactive defense to proactive protection. A practical starting point is to inventory the AI tools in use, set clear access controls and usage policies, and treat AI systems as part of the attack surface.

Cloud is no longer a question of “whether” but of “how well.” Flexera’s 2026 State of the Cloud report shows that 88% of organizations run a multicloud strategy and 73% combine public and private cloud. Flexera describes the cloud as maturing from a cost center into a value driver, as companies gain better visibility into their technology and spending.

The picture has been stable for a while: Flexera’s 2024 report already put multicloud adoption at 89%, with hybrid cloud (a mix of public and private) the most common model at 73%.

Organizations embrace multi-cloud. Source: Flexera 2024 State of the Cloud Report.

Three developments define the trend:

• Multicloud and hybrid by design.

Companies pick the best environment for each workload, which improves resilience and reduces dependence on a single vendor.

• Cloud-native development.

Microservices, containers, serverless computing, CI/CD, and dynamic scaling remain the foundation for flexible, scalable systems.

• Edge plus cloud.

Processing data close to where it is created reduces latency for IoT and other time-critical applications, and cloud providers keep extending their services to the edge.

Cost discipline (FinOps) and data sovereignty are rising priorities too, pushing some workloads toward regional or private environments. Public clouds still come with trade-offs, including data security, compliance, and downtime risks, so architecture and governance matter as much as the platform itself.

This year, companies are focusing on modernizing their core technologies, such as mainframes, networks, and data centers, which are now burdened by technical debt. To stay competitive, businesses are shifting from piecemeal updates to a comprehensive approach aimed at achieving full-scale technical "wellness". This integrated strategy addresses accumulated issues and improves overall system performance.

Key aspects of this trend include:

• Comprehensive wellness assessments

These assessments, aligned with business impact, help identify which areas of the tech stack require immediate modernization and which can continue to support operations.

• Customized and integrated wellness plans

Organizations are developing tailored strategies to manage and maintain their entire tech infrastructure effectively.

• Investment in “self-healing” technologies

These are systems and tools that automatically detect, diagnose, and fix problems without human intervention. Companies are increasingly adopting such technologies to proactively address issues, reducing the need for future modernization efforts.

This shift from managing technical debt to ensuring overall technical wellness will be essential for businesses looking to lead in the evolving tech landscape.

The race from idea to market is accelerating rapidly, driven by increasing competition and rising customer expectations. As AI and automation technologies advance, the time it takes to develop and launch a product is shrinking, making speed a critical factor for success. Businesses have to quickly turn concepts into market-ready solutions, as delays can mean losing out to faster, more agile competitors.

Leveraging agile methodologies in developing a dynamic website, we delivered the project two months ahead of schedule and boosted user retention by 35%. Foundevs team provides end-to-end project development services to help both startups and enterprises transform ideas into fully realized products: from concept validation and MVP development to scaling. Let’s begin with the idea discovery phase, designed to clearly define project goals and scope, and set the foundation for a successful and timely product launch.

The thread running through all six trends is that technology only creates value when it is deployed responsibly and designed around people. AI agents need governance, faster development needs human oversight, and cloud flexibility needs cost and security discipline. Businesses that adopt these trends deliberately, rather than reactively, will be best placed to lead in 2027 and beyond.

Ready to turn a trend into a product?

Speed matters. Using agile methods, we built a dynamic website two months ahead of schedule and boosted user retention by 35%. The Foundevs team provides end-to-end project development services for startups and enterprises, from concept validation and MVP development to scaling. Start with an idea discovery phase to define goals and scope and set the foundation for a timely, successful launch.