As AI adoption accelerates across organizations in Asia Pacific, application teams are under pressure to deliver faster, more personalized, and more automated solutions while dealing with growing delivery demands and constrained team capabilities. Recent research from the Info-Tech Research Group shows that many organizations are at risk of missing their goals by 2026 due to increased technical debt, constrained delivery capabilities, and increased integration complexity. of the company Application priorities for 2026 This report outlines four priorities to help application leaders strengthen their delivery fundamentals, scale AI responsibly, and realign execution to align with corporate goals for the year ahead.
sydney, March 25, 2026 /PRNewswire/ — Application teams in the APAC region face an ever-widening gap between AI ambitions and the reality of implementation as we head into 2026, according to recent findings from Info-Tech Research Group. As organizations accelerate their AI efforts, many face delivery constraints and capability gaps that limit their ability to translate initial momentum into sustained results. Global research and advisory firm Application priorities for 2026 This report identifies the most critical execution gaps facing application leaders and provides a structured set of priorities to help teams stabilize delivery, modernize practices, and support AI adoption across the enterprise.
Info-Tech Research Group’s Applications Priorities 2026 report outlines four priorities to help application leaders strengthen their delivery fundamentals, scale AI responsibly, and realign execution to align with corporate goals for the coming year.
Info-Tech’s report found that while AI adoption is accelerating, most organizations still lack a modern enterprise-wide AI strategy, increasing execution risk for application teams tasked with scaling delivery. At the same time, technical debt continues to limit throughput and modernization efforts, limiting organizations’ ability to deliver consistent value as AI becomes more deeply integrated into application delivery and operations. These challenges are particularly evident across APAC, where organizations are grappling with expanding AI capabilities while grappling with talent shortages and uneven delivery maturity.
“AI is accelerating faster than most application practices are prepared for.” said Andrew Kum-Seun, lead author of the report and research director at Info-Tech Research Group. “Organizations that focus solely on pilots and tools will struggle to sustain results. Leaders who strengthen their delivery fundamentals and intentionally integrate AI into roles, workflows, and architectures will be in a much better position to deliver consistent value.”
Key challenges facing application leaders in 2026 Despite increasing investment in AI-enabled development and automation; Application priorities for 2026 The report shows that application teams across APAC continue to face several structural challenges that constrain their execution, especially as organizations work to expand their delivery capabilities and build the capabilities needed to support AI-driven initiatives.
Accumulating technical debt reduces throughput, increases costs, and limits modernization
Resource capacity constraints due to skills shortages, growing backlogs, and unrealistic delivery expectations
Integration complexity due to expanding SaaS, cloud, and third-party ecosystems
Inconsistent governance and data practices increase risk and limit AI trustworthiness
These pressures are increasing as application teams are expected to support more personalized experiences, automate end-to-end processes, and operationalize AI across the delivery lifecycle.
Info-Tech’s four application priorities for 2026 To help organizations overcome these challenges, Info-Tech Application priorities for 2026 This report outlines four priorities designed to refocus application teams on execution readiness and stakeholder value:
Accelerate solution delivery with AI Increase throughput, quality, and predictability by incorporating mature, proven AI capabilities into your core delivery activities.
Make AI a team member We do this by making AI a collaborator rather than a standalone tool, and by rethinking team composition, capabilities, and skills.
Generate personalized digital experiences in context Deliver the right content, features, and workflows at the right time through data-driven design and AI-powered personalization.
Enabling end-to-end business process automation By orchestrating deterministic, AI-driven automation across systems, workflows, and teams.
“Now is the time for application practices to act.” Geum-sun added. “Application leaders need to reprioritize the issues that stakeholders actually care about. When application teams move in lockstep with the organization’s ambitions, AI becomes an accelerator rather than a source of risk.”
of Application priorities for 2026 The report is based on real-world cases, industry research, and information technology diagnostic benchmarks. It provides practical guidance to help application leaders strengthen their delivery foundations, apply AI purposefully, and move from piecemeal improvements to sustainable enterprise-wide impact in the year ahead.
Get exclusive and timely commentary from Info-Tech experts, including Andrew Kum-Seun, and access to the complete documentation. Application priorities for 2026 To report, please contact pr@infotech.com.
About Information Technology Research Group Info-Tech Research Group is one of the world’s fastest-growing research and advisory firms, serving more than 30,000 IT, human resources, and marketing professionals worldwide. As a trusted products and services leader, the company provides unbiased, relevant research and industry-leading advisory support to help leaders make strategic, timely and informed decisions. For nearly 30 years, Info-Tech has worked closely with teams to provide them with everything they need, from practical tools to expert guidance, ensuring tangible results for their organizations.
For more information about Info-Tech’s HR research and advisory services, please visit McLean & Company. Also, check out our SoftwareReviews platform for data-driven software purchasing insights and vendor ratings.
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