Practical Strategies for SME CEOs in the Age of AX

The rapid rise of generative AI is quickly reshaping the competitive landscape across industries. While large corporations are establishing dedicated AI divisions and investing hundreds of billions of won, many SME CEOs, despite recognizing that “AI is important,” are delaying action due to uncertainty around implementation methods, cost, and actual impact.

One point must be made clear: AI transformation (AX, AI Transformation) is no longer the exclusive domain of large enterprises. In fact, SMEs, precisely because they operate under clear resource constraints, now have an opportunity to overturn existing competitive dynamics depending on how they choose to leverage AI.

Opportunities AX Creates for SMEs

If digital transformation (DX) was about converting analog data into digital form, then AI transformation (AX) is the stage of intelligence—using that data to predict, judge, and act. The fact that the global AI market is growing at an annual rate of more than 25%¹ indicates that this is not a passing trend, but an irreversible structural shift.

Unlike large companies that employ dozens or even hundreds of IT specialists, SMEs typically rely on only one or two IT staff. This is precisely where a shift in perspective is needed. AI is a leverage tool that allows even a small team to achieve large-enterprise-level analytical and operational capabilities. We have entered an era in which resource limitations no longer necessarily define capability limitations.

Below are three practical strategies SMEs can adopt to respond realistically in the age of AX.

Strategy 1. Focus on Utilization, Not Development: Strategically Adopt SaaS-Based AI Solutions

When discussing AI adoption, many CEOs first think of building an in-house solution. However, trying to independently develop an AI model that required trillions of won to create is neither realistic nor necessary for SMEs. The market already offers a wide range of proven AI solutions, and it is far more rational to customize and immediately apply these solutions to fit the company’s environment.

Method
Adopt proven SaaS-based AI solutions by business function, such as HR management, accounting and finance, customer support (chatbots), and marketing automation.

Impact
Without heavy upfront implementation costs, companies can deploy these tools immediately through monthly subscriptions and confirm visible productivity gains in a short period of time.

Strategy 2. Choose the Right Partner: Collaborate with Specialized AI Companies

When considering AI adoption, it may seem natural to first look at global IT consulting firms or large SI companies. However, proposals costing hundreds of millions of won and solution scopes disconnected from SME realities often lead to frustration at the execution stage. What SMEs need is not a massive platform, but practical AI that solves real on-site problems quickly.

In this context, the most effective strategy is to partner with specialized AI firms that have deep expertise in a specific industry or process.

Method
Select partners with the technical capabilities to address your company’s core pain points, such as process optimization, defect-rate analysis, or material property prediction.

Impact
Compared with large-scale solutions, these partnerships allow for more flexible customization and can generate tangible results within a short period, strengthening internal confidence in AI adoption.

Strategy 3. Use Government Support as Leverage: Minimize the Risk of AX Transition

The two approaches above alone can already reduce the financial burden considerably. In addition, CEOs should pay close attention to government-backed AI support programs. The current government has made strengthening manufacturing competitiveness a key priority and is expanding financial support for AI transformation through central ministries, local governments, and public institutions.

Method
Continuously monitor public support programs such as the AI Voucher Support Program led by the Ministry of SMEs and Startups and the Ministry of Science and ICT, or collaborate with AI partners that have extensive experience in carrying out government-funded projects.

Impact
A substantial portion of implementation costs—from tens of millions to hundreds of millions of won—can be covered through government subsidies, enabling companies to pursue AX while minimizing financial risk.

Key Risk Management Points to Address When Introducing AI

AI is a powerful tool, but there are also clear risks in the adoption process that are easy to overlook. The following three issues should be reviewed in advance.

1) Hallucination

AI can present false information in a convincing way. All AI-generated outputs must go through human verification, and companies should establish internal processes that require source attribution.

2) Lack of Standardization in AI Utilization Capability

If employees’ ability to use AI varies widely, it will be difficult to achieve organization-wide efficiency. Companies should build standard templates for repetitive tasks and operate an internal prompt library so that all employees can use AI at a consistent level.

3) Data Security

Entering sensitive corporate information into public AI tools, such as free versions of ChatGPT, can directly lead to information leakage incidents. Before adopting AI, companies should either establish a private cloud environment for enterprise use or first define clear security guidelines.

Conclusion

In the 15th century, the Ottoman Empire knew about the printing press but refused to adopt it for decades out of fear of internal resistance. The result was delayed knowledge dissemination and imperial decline. Likewise, the late Joseon dynasty’s isolationist policy delayed the adoption of modern civilization and exacted a harsh price in lost national competitiveness. History repeatedly shows how hesitation in the face of technological change can lead to severe consequences.

In the face of the wave of AI transformation, what SME CEOs need is not perfect preparation. By combining three approaches—controlling costs through SaaS solutions, solving core problems with proven AI partners, and spreading risk through government support—AI transformation is no longer the exclusive territory of large corporations.

At this moment, there is only one question a CEO should ask:

“Among our company’s tasks, what is the single area where replacing or augmenting it with AI would create the greatest impact?”

¹ Fortune Business Insights, Global AI Market Report

Featured image generated using AI for illustrative purposes.