Companies Using Generative AI Have Lower Concerns About ROI Uncertainty

• Interpreted as achieving a certain level of ROI through the process of applying and utilizing generative AI in existing tasks
• Megazone Cloud-Foundry publishes 「Generative AI Usage Status」 report…Survey of 749 AI and IT executives at domestic companies
• Projected 85% of companies will use AI in 2026…Diversification of adoption methods and expansion of investment plans
• Misinformation and lack of credibility are the biggest concerns…Security and personal information leakage risks follow

Companies that have adopted and are utilizing generative AI enterprise-wide show relatively low concerns about ROI (Return on Investment) uncertainty. This is interpreted to mean that companies applying generative AI across various business areas are already achieving a certain level of ROI.

Megazone Cloud (CEO Yom Dong-hun), a leading AI and cloud company, jointly conducted a survey with Foundry (formerly IDG) on AI usage among 749 AI and IT executives at domestic companies, revealing that concerns about ROI uncertainty from AI adoption are only 13.1% for companies already utilizing AI enterprise-wide. This is noteworthy as it is only about one-third compared to 34.9% of companies planning implementation within 1-2 years expressing concerns about ROI uncertainty.

The survey also found that 55.7% of domestic companies are already utilizing generative AI either enterprise-wide (22.4%) or in some departments (33.2%). Including companies currently implementing or planning to adopt within 1-2 years, it is projected that over 85% of companies will be utilizing generative AI in their work by 2026.

By company size, large enterprises showed an enterprise-wide adoption rate of 35.1%, more than twice higher than small and mid-sized companies. Among industries, IT/telecommunications/broadcasting showed the highest adoption rate at 37.5%.

60.3% of respondents evaluated generative AI as 「high priority」 in their company's IT strategy, and 74.0% responded that related investments increased compared to the previous year. Priority and related investment showed a direct correlation. Among companies with very high priority, 48.1% answered that related investments increased significantly, while 37.6% of companies with medium priority answered that related investments increased slightly.

However, despite many companies adopting generative AI, concerns about credibility and security remain high. The biggest concern regarding generative AI utilization was 「generation of misinformation and lack of result credibility」 (61.3%), ranking first, followed by 「security and personal information leakage risks」 (53.3%) with over half the response rate. Other major concerns included 「copyright and legal liability issues (21.0%)」 and 「ROI uncertainty (19.8%)」.

As generative AI adoption is rapidly spreading, many companies are still facing difficulties in terms of execution capabilities such as securing personnel and technology. Nearly half (49.8%) of surveyed companies identified 「lack of technical personnel and technical expertise」 as the biggest obstacle to generative AI adoption, followed by 「difficulty in securing appropriate infrastructure and data」 (32.0%) and 「lack of executive support and investment」 (21.0%).

The most necessary element for companies to successfully spread generative AI was 「strategic will and leadership of executives」 (41.1%), recording the highest response rate.

Regarding adoption methods, commercial SaaS-type generative AI services such as ChatGPT and Microsoft Copilot accounted for the highest proportion at 35.5%, with fast deployment and cost efficiency cited as the biggest advantages. However, among companies currently implementing or planning to implement generative AI within 1-2 years, the proportion of commercial SaaS-type generative AI services was lower. Companies that chose to develop and operate their own generative AI models placed greater importance on 「security and data control considerations (45.9%)」 and 「possibility of implementing customized features (36.1%)」.

Regarding 2026 generative AI-related budgets, 79.3% of companies expected increases, with 20-49% increases accounting for 26.8% and increases under 20% accounting for 38.7%. Among companies that significantly increased investment in 2025, 37.2% responded they would increase budgets by 50% or more in 2026, showing that companies with full-scale generative AI utilization have a clear intention to expand investment.

The most cited purpose for generative AI utilization was 「improving work efficiency and productivity」 (70.5%). Major departments utilizing it included software development (44.1%), IT operations (40.3%), marketing, customer service, and research and development, with representative task types including 「document summarization and report writing (43.1%)」, 「data analysis and insight derivation (40.3%)」, and 「programming assistance (37.0%)」.

Megazone Cloud and Foundry published the survey results as a report titled 「2025 Domestic Companies' Generative AI Usage Status and Outlook」 (https://iting.co.kr/aiinsights-apply/).

Gong Sung-bae, CAIO (Chief AI Officer) at Megazone Cloud, said, 「The survey results show that limitations in specialized personnel and infrastructure, as well as security and personal information protection issues, are the biggest obstacles to substantial AI expansion,」 and added, 「To effectively overcome these challenges, cooperation with external partners with accumulated experience and technology is important.」

CAIO Gong also stated, 「Based on generative AI adoption and operation experience accumulated through collaboration with various clients, Megazone Cloud is providing strategies that connect from clear business goal setting to ROI achievement,」 and 「We will further strengthen our role as a customized partner by diagnosing the most suitable adoption method according to company size, industry, and technology level, and providing integrated support not only for necessary technology and infrastructure but also for data security and personal information protection.」

Megazone Cloud is a leading AI and cloud-native company with 2,000 cloud and AI technology experts, serving as a digital transformation (DX) partner for approximately 7,000 domestic and international clients. Based on strategic partnerships with major global and domestic cloud service providers (CSPs), it supports customer innovation and growth through 140+ ISV partners and self-developed cloud, AI, and security solutions. Under the vision of 「Transform Tomorrow, Together,」 the company is creating customers' future competitiveness together through technology, data, and employees' passion. Megazone Cloud operates local subsidiaries in 9 countries including Korea, North America, Japan, Southeast Asia, and Oceania, growing together with customers as a global partner.