Businesses across Southeast Asia will undergo a major technology reset in 2026, as artificial intelligence, edge computing and new security models upend long-held approaches to software, cloud and industrial systems, according to Cloudflare Asean Vice President Kenneth Lai.
In his year-end outlook, Lai said next year will mark the end of some traditional assumptions in enterprise technology. Most notable is the dominance of single-cloud strategies and traditional Software-as-a-Service (SaaS) licensing models.
“The traditional SaaS model defined by static functionality and centralized data silos is coming to an end,” says Lai. “Enterprises are now looking for AI-native, real-time, context-aware services that provide intelligence, not just software.”
Lai said that in 2026, enterprises will move away from the once-preferred monocloud strategy for efficiency and cost savings.
Instead, boards and executives will prioritize resiliency, availability, and risk management, especially as outages, cyber threats, and regulatory pressures expose the vulnerabilities of centralized architectures.
According to Lai, organizations will increasingly deploy domain-specific AI models closer to where data is generated, distributing intelligence across edge environments while keeping sensitive information local.
“The focus is shifting from application consumption to AI as a service,” he said. “Companies pay for intelligence and outcomes, not seats of software.”
Although SaaS platforms will continue to be part of the enterprise IT stack, their dominance will decline as AI agents become the primary interface for enterprise workflows, Lai said.
Instead of paying monthly licenses for each employee, companies will invest in AI systems that can analyze data, automate tasks, and provide real-time insights. This change will reshape the way organizations measure value from technology investments, he said.
“In 2026, businesses will demand software that is smart, adaptable, and customized to their domain,” Lai said. “AI assistants will move to the front lines, driving productivity and decision-making across organizations.”
The move also reflects growing concerns about data privacy, latency, and sovereignty, especially in regulated industries, moving AI workloads closer to users and local infrastructure.
Beyond enterprise IT, Lai said 2026 will be a breakthrough year for industrial AI, transforming the way factories, utilities and critical infrastructure operate.
Rather than simply monitoring systems for failure, AI models proactively optimize machines and processes in real-time, moving operational technology from reactive to autonomous.
“Industrial AI moves OT from monitoring work to driving it,” says Lai.
However, this proliferation of automation creates new security challenges, especially in environments with large numbers of IoT devices and machines that cannot run traditional security software.
To address this, Lai pointed to the rapid adoption of agentless zero trust security, where the network itself automatically and continuously verifies all machine interactions.
“You can't install agents on every robot or sensor,” he said. “Security must be invisible, built into the network fabric, and every interaction must be instantly verifiable.”
Lai said that these three trends, taken together, point to a decisive inflection point for enterprises in 2026, where intelligence, resilience and trust become core design principles rather than add-ons.
“Successful organizations will be those that redesign their architecture around distributed intelligence and continuous verification,” he said. “2026 will be the year these changes move from experiment to mainstream.”
