KOMPAS.com - "AI boom" or the explosion of artificial intelligence (Artificial Intelligence/AI), is making many industries rush to adopt it, including the financial services industry.
Although adoption is accelerating, many companies are still facing fundamental problems. Governance and infrastructure readiness remain "PR" or challenges.
This was revealed in the latest report by global cloud software company Nutanix, titled Financial Sector Enterprise Cloud Index 2026.
The report involved 1,600 executives in the cloud, information technology, and engineering fields from various countries.
According to the report, the biggest challenge in implementing AI in the financial sector is no longer about the technology itself, but rather how companies manage, monitor, and integrate the technology into their daily business processes.
"Across the Asia Pacific and Japan (APJ) region, the competition is no longer about who has the most sophisticated AI model, but who can scale its implementation safely and responsibly," said Jay Tuseth, Vice President and General Manager APJ Nutanix, in an official statement received by KompasTekno.
The problem is not just about technology
Many people think that the challenge of AI will revolve around a lack of computing power, expensive hardware, or limited access to AI chips. However, the results of the Nutanix survey show something different.
As many as 38 percent of respondents cited business processes and company governance as the biggest obstacle in expanding AI use within their organizations.
Meanwhile, 34 percent others considered organizational issues such as lack of expertise, talent limitations, and misalignment of management policies to be the main challenges.
Conversely, only 28 percent of respondents considered technical constraints to be the biggest problem.
These findings show that many companies already have the technology they need but do not yet have the rules, procedures, or organizational structure in place to manage AI on a large scale.
In practice, business divisions usually want to move quickly to leverage AI to increase productivity or pursue growth targets.
On the other hand, information technology teams must ensure that all AI use complies with security regulations, regulatory compliance, and data protection.
This imbalance between business needs and oversight capabilities is what has led to a new phenomenon called "shadow AI".
The "shadow AI" phenomenon is becoming worrisome
Shadow AI refers to the use of AI applications by employees without the official approval or supervision of the company's information technology team.
