Only 2% Report Live Agentic AI in Tm Forum’s Asia-Pacific Telco Research

What Readers Should Know
TM Forum research found that just 2% of regional respondents report having scaled AI agents into core systems for live operational tasks, even as 89% consider AI critical to their organizations’ competitive strategies. Skills shortages, poor data quality, costs, accuracy concerns, and undocumented decision-making remain obstacles. The regional findings are based on 55 respondents and are directional rather than a…
Key Takeaways
- Live deployment remains limited: Just 2% of regional respondents report scaled AI agents performing live tasks in core systems.
- AI is a strategic priority: 89% consider it critical to their organization’s competitive strategy.
- Most implementations remain experimental or task-specific: This describes AI adoption for 72% of regional respondents.
- Skills are the leading barrier: Skills shortages were cited by 49%, followed by low-quality data at 43% and high costs at 42%.
- The sample requires context: The regional findings draw on 55 respondents and are intended as an indicative view.
Asia-Pacific telecom operators see artificial intelligence as central to their future, but integrating AI agents into everyday operations remains an early-stage effort, according to new TM Forum research.
Released ahead of Innovate Asia 2026, the findings show that just 2% of regional respondents report having scaled AI agents into core systems for live operational tasks.
The results highlight a gap between AI ambitions and deployment. However, the regional findings draw on 55 respondents and should be treated as directional, rather than a statistically definitive measure of the entire Asia-Pacific telecom industry.
AI ambition runs ahead of implementation
TM Forum’s Reinventing IT for the AI era research found that 89% of regional respondents consider AI critical to their organization’s competitive strategy. Among that group, 24% acknowledge that their organizations are not investing sufficiently to succeed.
For 72% of respondents, AI remains experimental or an addition used for specific tasks. Meanwhile, 55% place integration across their core enterprise architecture among their top three priorities for the next 18 months.
The findings suggest that recognizing AI’s importance has yet to translate consistently into changes across the systems that support operators’ businesses.
TM Forum describes the next challenge as moving from automation toward autonomy: expanding beyond individual automated tasks to systems capable of carrying out operational work with greater independence.
Skills and data remain major obstacles
Skills shortages were the most frequently cited barrier to AI adoption, identified by 49% of regional respondents.
Other obstacles included:
- Low-quality data: 43%
- High costs: 42%
- AI accuracy or hallucination concerns: 39%
- Insufficient documentation of critical human decisions: 38%
The documentation gap presents another challenge for deployment. When important decisions depend on knowledge that has not been recorded clearly, organizations can find it harder to translate existing practices into consistent AI-supported processes.
Harry Wang, TM Forum’s regional director for APAC, said moving toward autonomy requires addressing the practical realities of deployment through collaboration among operators and technology partners.
He said Innovate Asia would provide a venue to examine implementation barriers and learn from approaches already delivering results.
Innovate Asia 2026 heads to Bangkok
The research will help frame discussions at Innovate Asia 2026, scheduled for November 17–19 at Centara Grand at CentralWorld in Bangkok, Thailand.
TM Forum expects the event to bring together more than 1,200 telecom leaders, technology partners, and solution makers.
Under the theme “From Architecture to Autonomy: Asia’s Race to 2030,” discussions will focus on AI-native IT, autonomous networks, and trusted AI and data.
The agenda centers on how operators can move from experimentation into implementation, with AI integrated more deeply into their operations.
What the research covers
The global Reinventing IT for the AI era report surveyed 216 IT executives from 111 operators across 72 countries.
Participants included C-suite leaders, network architects, and software engineering practitioners. The Asia regional analysis draws on 55 respondents, offering an indicative view of priorities and deployment challenges.
The findings therefore provide insight into the surveyed group’s experience. They should not be interpreted as establishing that precisely 2% of all Asia-Pacific telecom operators have deployed live agentic AI.
Frequently Asked Questions
What does the study’s 2% figure mean?
It refers to regional respondents who report having scaled AI agents into core systems for live operational tasks. It is not a definitive percentage of all APAC telecom operators.
What is agentic AI in this context?
It refers to AI agents carrying out operational tasks within core systems, going beyond isolated experiments or tools added for specific activities.
What are the main barriers to AI adoption?
Respondents cited skills shortages, low-quality data, high costs, accuracy or hallucination concerns, and insufficiently documented human decisions.
How large was the research sample?
The global survey covered 216 IT executives from 111 operators across 72 countries. The Asia regional findings draw on 55 respondents.
When and where is Innovate Asia 2026?
The event takes place November 17–19, 2026, at Centara Grand at CentralWorld in Bangkok, Thailand.