<h3 style="font-size: 22px; font-weight: normal;">How Small Organizations Build Competitiveness Through Digitalization</h3>Traditionally, small and medium-sized enterprises (SMEs) have faced more constraints than large corporations regarding capital, talent, and technology. However, as of 2025, the competitive landscape is shifting from "scale" to "agility + digitalization" due to the rapid proliferation of digital technology and Artificial Intelligence (AI).According to a U.S. Chamber of Commerce report, approximately 58% of U.S. SMEs are now using generative AI, a significant increase from about 23% in 2023. For SMEs, AI and digital transformation are no longer a matter of choice; they are essential strategies for growth and survival.<h3 style="font-size: 22px; font-weight: normal;">Why AI and Digitalization Matter for SMEs</h3>(1) Securing Cost-Efficiency Because SMEs have limited resources, improving efficiency is directly linked to competitiveness. Applying AI or automation tools to repetitive or manual-heavy processes can significantly reduce costs and time. SMEs that utilize digital tools for marketing, customer management, and inventory control are establishing better cost structures.(2) Securing Competitive Advantage SMEs often compete with large companies for the same clients or customer bases. Through digitalization and AI, SMEs can transform into smaller, yet more responsive organizations. Improving customer experience via marketing automation, customer data analysis, and chatbots increases brand loyalty and repeat purchase rates. In fact, 75% of SME respondents believe AI helps them secure a competitive edge.(3) New Business Models &amp; Market Expansion Digital and AI technologies provide opportunities for SMEs to pivot from traditional business models toward subscription services, online channels, and data-driven businesses. The increased use of online channels post-pandemic has created conditions where SMEs can reach global customers, overcoming physical limitations.<img src="https://d20jzv1ghtxgkk.cloudfront.net/images_temp/1/image-1777003317877.png" width="90%" draggable="true" style="max-width: 100%; width: 100%; height: auto; cursor: pointer;"><h3 style="font-size: 22px; font-weight: normal;">Key Technology Areas for SMEs</h3>(1) Marketing &amp; Customer Experience (CX) Improvement Marketing automation, customer behavior prediction, and chatbots are the easiest areas for SMEs to implement. AI-based tools allow companies to send messages to customers at the optimal time and improve strategies by analyzing reaction data. Over 75% of SMEs cite marketing as a primary use case for AI.(2) Operations &amp; Back-Office Automation Digitalization can significantly improve efficiency in repetitive tasks such as inventory management, order processing, and accounting/payroll. Automating these workflows reduces errors and allows employees to focus on higher-value tasks.(3) Data-Driven Decision Making More SMEs are digitizing customer, market, and internal operational data to derive insights using AI/analytics tools. Analyzing customer purchasing patterns, for example, allows for efficient inventory management and personalized promotions for different customer segments.<h3 style="font-size: 22px; font-weight: normal;">Implementation Strategies for Success</h3>(1) Phased Approach: 'Start Small, Scale Up' Since resources are limited, SMEs should prioritize specific areas rather than attempting to digitize everything at once. Begin with areas that yield visible, short-term results—such as marketing automation or chatbots—and then expand to data infrastructure or process improvement.(2) Leveraging External Capabilities and Partnerships For SMEs, utilizing external solutions or cloud services is the most realistic path. Most SMEs adopt third-party tools rather than developing AI in-house. It is also crucial to provide digital literacy training to internal staff and build a 'culture of digital transformation.'(3) The Role of Organizational Culture and Leadership Digital and AI transformation is not just a technological issue; it depends on change management and leadership awareness. Leaders must understand the potential and limitations of AI and foster a culture of 'experimentalism' where failures are tolerated. It is important to communicate that automation changes the nature of work, rather than eliminating it.<h3 style="font-size: 22px; font-weight: normal;">Challenges and Countermeasures</h3><ul class="editorBulletList"><li class="editor_editorListItem__FKzSL">Cost and Investment Burden: While initial costs can be a burden, cloud-based SaaS models offer low-cost entry points. The focus should be on demonstrating ROI from early use cases.</li><li class="editor_editorListItem__FKzSL">Skill Gaps: Many SMEs lack internal expertise on how to implement or operate these technologies. Collaborating with external consultants or solution providers and utilizing online educational resources are effective countermeasures.</li><li class="editor_editorListItem__FKzSL">Data Security and Ethics: Increased digitalization brings risks to privacy and data management. SMEs must prepare by establishing data management protocols and ensuring the responsible use of AI tools.</li><li class="editor_editorListItem__FKzSL">Internal Resistance: Change management is vital. Leadership must clearly articulate the vision and maintain open communication to mitigate employee anxiety regarding job role changes.</li></ul> <img src="https://d20jzv1ghtxgkk.cloudfront.net/images_temp/1/image-1777003332186.png" width="90%" draggable="true" style="max-width: 100%; width: 100%; height: auto; cursor: pointer;"><h3 style="font-size: 22px; font-weight: normal;">Future Outlook and Opportunities</h3>Post-2025, the adoption of AI and digital technology in SMEs is expected to evolve in the following ways:<ul class="editorBulletList"><li class="editor_editorListItem__FKzSL">Expansion of Agentic AI: AI tools that "self-learn and suggest actions" will become more accessible and cost-effective for SMEs.</li><li class="editor_editorListItem__FKzSL">Growth of SaaS &amp; Cloud Services: The model of using AI functions through subscriptions will become the standard over in-house development.</li><li class="editor_editorListItem__FKzSL">Enhanced Digital Ecosystem Participation: SMEs will increasingly favor collaborative approaches—sharing technology and utilizing plug-ins within industrial ecosystems.</li><li class="editor_editorListItem__FKzSL">Transition to Data-Driven Business Models: Beyond simple digitalization, companies will treat data as an asset, enabling moves toward subscription services and customized product design.</li></ul><h3 style="font-size: 22px; font-weight: normal;">Conclusion: SMEs Can Be the Protagonists of Digital Transformation</h3>Many SMEs may still view digital transformation as something only for large corporations. However, the barrier to entry is continuously lowering, and agile organizations are better positioned to reap the benefits. The crucial factor is not just using technology, but weaving it into the organization's strategy and culture.If an SME can improve customer experience, streamline internal processes, realize data-driven decision-making, and manage organizational change, it can become not just a survivor, but a leader in the AI and digital era. The question should no longer be, "When and how do we start?" but rather, "Where do we start and how do we scale?"

Expanding the Use of AI and Digital Technology in SME

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