The Value Paradox: Moving Beyond Efficiency to the Human Edge

Ariya Phukfon
Technology & Transformation Leader
Deloitte Thailand

The classic S-curve of growth has traditionally defined business evolution: a period of gradual lift, followed by rapid acceleration, before eventually reaching a plateau. In 2026, however, this curve is no longer slow-moving. The relentless pace of Artificial Intelligence (AI) and workforce transformation is compressing the curve, accelerating the ascent while causing the plateau to arrive sooner. For organisations, the primary challenge has shifted from steady progress to making a decisive leap to the next curve.

The Efficiency Trap in Thailand

In Thailand, the ambition to achieve transformative growth is clear, yet execution remains constrained by legacy models. According to Deloitte’s Thailand Digital Transformation Survey 2026 most organisations have initiated AI projects; however, 81% remain in the experimentation phase, and only 19% have successfully scaled AI across the enterprise. This stagnation is often due to challenges in identifying meaningful AI use cases, stemming from a limited understanding of business units' specific operational needs.

This "experimentation trap" frequently arises from an overemphasis on cost-efficiency. Currently, 50% of Thai organisations identify cost reduction as the primary benefit of their AI initiatives, with efficiency and productivity improvements following closely. Although these outcomes are valuable, exclusive reliance on efficiency reflects an outdated strategic approach. Efficiency mandates that are intensified often result in incremental improvements, emphasising speed over innovation. As AI-driven efficiency becomes widespread and easily replicated, sustainable competitive advantage must be sought in the Human Edge: the distinctive and irreplaceable value that humans contribute to the workforce, which technology alone cannot replicate.

Tipping Point: From Cost Efficiency to Value Creation

Organisations have reached a critical tipping point, requiring a choice between prioritising efficiency at all costs and pursuing value creation. The 2026 Global Human Capital Trends report indicates that value is not unlocked by technology alone, but through a reimagining of work that integrates humans and machines into synergy, advancing from "Human + Machine" (collaboration) to "Human x Machine" (integration).

Empirical data support this shift. Organisations that adopt a purely technology-focused approach to AI are 1.6 times more likely to fall short of expected returns on investment compared to those that implement a human-centric strategy. This disparity arises because technology is replicable, whereas human capabilities are unique. Differentiation is achieved through human adaptivity, creativity, and judgment, especially as automation increasingly handles routine tasks. Leading organisations are evolving their functions to be fit-for-purpose, prioritising innovation and growth through adaptability rather than focusing solely on cost reduction.

Dealing with AI’s Cultural Debt

A significant yet frequently overlooked barrier to transformation is what the 2026 trends identify as "Cultural Debt." The integration of intelligent machines into the workforce fundamentally alters human behaviours, norms, and trust. Many organisations neglect this impact, resulting in the accumulation of misalignment and distrust.

In Thailand, this cultural debt is evident in AI management practices. Currently, 69% of Thai organisations regard enterprise AI primarily as an IT- or technology-led responsibility rather than a cross-functional, collaborative initiative. When AI remains siloed within IT, use cases are determined by technical feasibility rather than by actual business or workforce needs. This absence of a shared vision undermines trust and organisational cohesion.

To prevent a gradual deterioration of organisational culture, leaders must deliberately design the interactions between humans and AI. This process requires clearly defining accountability, particularly when both humans and AI contribute to decision-making. When implemented effectively, AI should enhance rather than diminish human agency, fostering a culture of digital trust in which employees feel empowered to influence change. Organisations should formally define decision rights and accountability frameworks, and shift AI ownership to business functions to enable intentional workflow redesign.

The Orchestration Advantage

To remain competitive on the new S-curve, speed has become more critical than scale. 70% of business leaders identify agility as their primary competitive strategy for the next three years. Achieving this requires transitioning from static planning to dynamic orchestration, which involves reconfiguring people, skills, and technology in real time to deliver specific outcomes.

In Thailand, this approach requires moving beyond a narrow IT focus and investing in upskilling the existing workforce. Despite concerns about workforce reductions, 51% of Thai organisations intend to maintain current staffing levels while prioritising reskilling to enable employees to work effectively alongside AI. 

However, training alone is insufficient. Organisations must intentionally design human-AI interactions, whether AI serves as an assistant, coach, or collaborative thought partner. Research indicates that organisations that successfully redesign these interactions are 2.5 times more likely to achieve improved financial outcomes. Upskilling efforts must be integrated with broader AI and technology strategies, rather than occurring in isolation.

Conclusion: Betting on the Human Edge

The next S-curve is already underway. Success in 2026 will be achieved by organisations that leverage discontinuity as a source of momentum. By shifting focus from narrow efficiency to comprehensive value creation and proactively addressing the cultural debt introduced by AI, leaders can unlock the full potential of their workforce. While technology delivers speed and scale, humans remain the foundation of trust, direction, and meaning. In the age of AI, the ultimate differentiator is not the technology deployed but the human edge that is cultivated.