Deloitte: "Companies Lag in Business Model Redesign Despite Rapid AI Adoption"

Release of the "State of AI in the Enterprise 2026" Report

Statistics show that while companies are rapidly adopting artificial intelligence (AI), few have fundamentally redesigned their business models as a result.

Korea Deloitte Group announced the publication of the "State of AI in the Enterprise 2026" report, which contains the results of this survey. The survey was conducted with more than 3,200 business and information technology (IT) leaders worldwide who are directly involved in AI initiatives.

According to the report, companies are moving beyond the pilot and experimentation stage with AI, entering a phase where AI is being deployed in actual operations to create business value. Employee access to AI has expanded by 50% in just one year, and the proportion of employees using approved AI tools has increased from about 40% to 60%. The pace of AI operational transformation within organizations is also expected to accelerate. Currently, only 25% of companies responded that more than 40% of their AI pilots have been transitioned into full operations, but more than half (54%) expect to reach this level within the next three to six months.

Nevertheless, only 34% of companies are using AI to create new products and services, restructure core processes, and fundamentally transform their business models. While 30% are redesigning key processes around AI, this has not resulted in changes to their business models. The remaining 37% have only engaged in superficial use of AI without making significant changes to their existing processes.

Restructuring of roles at the organizational level is also progressing slowly. According to the survey, 84% of companies have not redesigned their roles or ways of working to align with AI capabilities. While more than half (53%) are focused on enhancing employees' AI fluency through training, the report notes that relatively few are fundamentally reworking role structures, workflows, and career paths.

The report also highlights next-generation AI trends such as agentic AI, sovereign AI, and physical AI, along with the challenges they present. With autonomous AI agents rapidly spreading across business sites, it is expected that within the next two years, 74% of all companies will have adopted agentic AI at least at a moderate level. However, only 21% have established mature governance models for autonomous agents.

Furthermore, AI adoption is shifting from a technological competition to a matter of strategic judgment, which includes sovereignty, supply chain stability, and regulatory response capabilities. Of the companies surveyed, 77% consider the country where the AI solution was developed when selecting vendors, and 58% said they are building their AI stacks primarily with local vendors.

Physical AI is also spreading rapidly, highlighting the importance of safety and oversight. Currently, more than half (58%) of companies are using physical AI at a moderate level or higher, and this proportion is expected to increase to 80% within the next two years. Notably, the Asia-Pacific (APAC) region is leading the initial adoption.

The report emphasizes that for companies to successfully realize the potential of AI, they must recognize AI as a foundational element rather than a supplementary tool, embedding it as the basis for operations, competition, and growth. It explains that achieving competitive advantage requires accelerating not just the adoption but also the company-wide deployment of AI, redesigning work structures and governance around AI, and modernizing data and infrastructure in parallel.

Jae Min Bae, leader of Korea Deloitte's AI Integrated Service Group (One AI), stated, "Companies are at a turning point, moving beyond the experimental phase to integrating AI at the core of their business. The competitiveness of a company now depends on how deeply AI is embedded, so it is crucial to make AI the foundation of management to achieve sustainable innovation," he added.

This content was produced with the assistance of AI translation services.