Around 37% of organisations in Asia Pacific (APAC) admit investing in AI aggressively with little evaluation, according to the latest IDC InfoBrief, commissioned by Expereo.
Ben Elms, CEO, Expereo, says: “Every enterprise we speak to is investing in AI, yet the data shows a clear gap opening up between AI ambition and AI outcomes. More often than not, that gap comes down to the network underneath. AI only delivers on its promise when the infrastructure carrying it is built to support it.”
AI adoption and investment
The report also found that in APAC, 61% of organisations plan to prioritise investment in AI or machine learning over the next 12 months. APAC is also leading on adoption, with 35% of organisations reporting extensive AI use.
However, only 40% say implementations have exceeded or significantly exceeded expectations.
The most-cited reasons for underperformance are cost overruns or ROI not achieved (54%), poor-quality training data (49%), and AI simply not performing as expected (46%).
The majority (87%) report productivity improvements in the business units most affected by AI, and 82% say quality of work has improved.
Only 9% of organisations in the region describe their network infrastructure as fully ready to support new AI, cloud, and digital initiatives, and 37% say it will need upgrading or replacing soon.
Eric Wong, president, APAC, Expereo, says: “Across the region, we are seeing enterprises reassess whether their infrastructure is truly ready to support AI at scale, particularly around performance, resilience, governance, and visibility. Organisations that address those foundations early are generally seeing stronger outcomes and faster operational impact from their AI initiatives.”
