AI will struggle to be effective if businesses don't transform their workflows accordingly.

Amidst the global surge in AI applications aimed at improving labor productivity, a common question arises for almost every business leader, regardless of their field: how to leverage AI for maximum efficiency, how to integrate AI into existing processes, and how to build a culture receptive to AI?

 

These questions reflect a noteworthy reality. Global spending on AI is projected to surpass $2 trillion by 2026, yet return on investment remains a daunting challenge for most organizations. A report from MIT shows that 95% of AI generational projects fail to deliver clear business value. This figure doesn't indicate a lack of AI potential, but rather suggests that our implementation may be misguided.

 

Currently, many AI initiatives are implemented using a "human plus machine" approach, meaning adding AI to existing processes or using AI to replace some labor. This approach may have been suitable for previous technologies, but generative AI is different. It has the ability to predict, learn, and evolve, and can produce different results even with the same input. This is not a technology that can be plugged in and operated immediately. If organizations continue to treat AI as a plug-and-play tool, failure is almost inevitable.

 

Analysis from Deloitte reveals a clear imbalance in AI investment. The majority of budgets are allocated to data, infrastructure, and technology, while very few resources are dedicated to redesigning work processes, training people, or managing change. Consequently, many businesses are optimizing tools but neglecting to optimize how they work, resulting in a lackluster return on investment (ROI).

In a context where every business has access to the same AI model, cloud platform, and similar toolkits, competitive advantage will no longer lie in technology. History has shown that email and the internet changed the way we worked in the 1990s, but the most successful businesses weren't those with the best tools, but those that knew how to redesign their processes to leverage that technology.

Deloitte's research indicates that organizations truly generating ROI from AI have one thing in common: they've shifted their focus from technology deployment to job redesign. In an increasingly prevalent AI environment, human-like skills such as judgment, empathy, creative thinking, and contextual understanding become crucial competitive advantages. These aren't weaknesses in the AI ​​era, but rather sharp edges that differentiate businesses.

 

1. Start with the technology you already have.

Instead of pitting people and technology against each other, leading organizations are adopting a 'human multiplied by machines' mindset. Humans bring judgment, empathy, and creativity; machines provide speed, scale, and pattern recognition. When properly designed, this combination delivers superior performance compared to relying solely on machines.

2. Clearly explain how AI is changing jobs.

Pioneering HR leaders often start with the AI ​​tools already available in the system instead of waiting for a perfect platform in the future. They also clarify how AI will change job roles, differentiating between AI-assisted positions and those heavily reliant on automation, thereby helping employees see the future with AI rather than feeling replaced. More importantly, they don't separate technology and talent into two distinct areas, but proactively categorize jobs into machine-friendly parts, parts best suited for humans, and parts at the intersection of the two. It is this intersection that creates new roles, new skills, and entirely new ways of creating value.

3. Remove the lines between technology and human resources.

Ultimately, AI is not simply a technological problem, but a job design problem. The real opportunity for AI lies not just in performance, but in its ability to reshape how organizations operate. In a world where access to AI is nearly universal, the combination of humans and machines will always outperform machines alone. Organizations that leverage human advantages alongside intelligent machines will be the ones to turn AI investments into sustainable advantages.