Dr.Dwi Suryanto, MM., Ph.D.
Date: February 12, 2026
Introduction
In the current global economy, Artificial Intelligence (AI) has transitioned from a speculative luxury to a fundamental pillar of strategic resilience. As the World Bank (2025) notes, digital transformation led by AI is now a primary driver of GDP growth in emerging and developed markets alike. However, for the modern executive, the challenge is no longer “if” AI should be adopted, but “how” it can be integrated without creating organizational friction or technical debt.
Consider a Tier-1 retail bank facing stagnating ROI on traditional marketing. By shifting from static demographic targeting to AI-driven, real-time behavioral modeling, they don’t just “automate” tasks; they redefine the customer relationship. This is the essence of the AI shift: it is a transition from operational efficiency to strategic autonomy.
Concepts and Theoretical Foundations
To navigate this landscape, two core concepts must be harmonized:
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Strategic Alignment: Based on the foundational research of Taşkın (2022), success is predicated on the “Enterprise-Objective Fit.” AI initiatives fail when they are treated as isolated IT projects rather than integral components of the corporate mission.
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Adaptive Leadership: As explored by Zelienková (2022), the “Innovative Leadership Theory” suggests that in a high-tech environment, the leader’s role shifts from a controller of processes to an architect of innovation ecosystems.
Evidence and Synthesis: The ROI of Intelligence
Recent evidence underscores that AI’s value is most potent when applied across three specific pillars:
1. Marketing Optimization and Performance Research by Fareniuk (2023) demonstrates that AI-enhanced Marketing Mix Modeling (MMM) can boost retail campaign effectiveness by up to 15%. This is echoed in the banking sector, where Awad (2025) found that data-driven AI marketing significantly elevates Business Performance and ROI through precision targeting.
2. Sustainability as a Competitive Strategy The “Green Business” paradigm is no longer elective. Shwawreh (2025) and Pranata (2025) highlight that integrating AI with green marketing strategies doesn’t just fulfill ESG (Environmental, Social, and Governance) mandates; it builds profound brand loyalty and opens new market segments, particularly for SMEs.
3. Resilience in Crisis AI serves as a critical buffer during geopolitical or economic volatility. Korneyev (2022) documented how businesses in conflict zones (Ukraine) utilized AI to maintain operational continuity, proving that digital maturity is a form of “corporate insurance.”
Current Data, Trends, and Policies (2023–2025)
The global landscape has shifted significantly:
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Tech Adoption: According to McKinsey (2024), over 70% of high-performing companies have integrated AI into at least one business function.
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Economic Context: With global inflation stabilizing but productivity lagging, the IMF (2025) identifies “AI-led efficiency” as the primary lever for maintaining margins in high-cost environments.
Cause–Effect Patterns: The Logic of AI Success
The path to AI maturity follows a distinct causal chain:
Strategic Clarity (Taşkın, 2022) ↓
Innovative Leadership (Zelienková, 2022) ↓
Data-Driven Execution (Awad, 2025) ↓
Sustainable Market Dominance (Shwawreh, 2025)
Cross-Domain Insights: Beyond the Algorithm
In Complex Systems Theory, a business is a network of nodes. For AI to work, it must “synchronize” with the human nodes of the organization. If the AI output (data) is not matched by the human output (decision-making), the system experiences “asynchrony,” leading to wasted investment.
Furthermore, drawing from Organizational Psychology, the implementation of AI requires what Noviyanti (2025) calls a “Psychological Safety Net”—an environment where employees view AI as a co-pilot rather than a replacement, fostering the experimentation necessary for true digital evolution.
Practical Recommendations
For CEOs & Founders
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Prioritize Strategy over Tooling: Never buy the software before defining the strategic “Why.” Ensure AI KPIs are tied directly to board-level objectives.
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Invest in Business Consulting: Don’t navigate the transition alone. Professional AI business consultancy can bridge the gap between technical potential and commercial reality.
For Middle Managers
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Upskill for Co-Piloting: Shift focus from managing tasks to managing AI-augmented workflows.
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Foster Data Literacy: Ensure your teams can interpret AI insights to make faster, decentralized decisions.
For Policymakers
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Support Digital Infrastructure: Focus on SME access to AI tools to ensure broad-based economic resilience, as suggested by Pranata (2025).
Conclusion: Leading the AI Revolution
AI is not a trend to be observed; it is a strategic frontier to be claimed. The companies that will lead the next decade are those that align their technological investments with visionary leadership and sustainable practices.
Borobudur Training & Consulting is dedicated to empowering your leadership team with the precise skills needed to master this transition. Beyond our Executive AI Training Programs, we offer specialized Business AI Consulting Services to help your organization design and implement a bespoke AI strategy that drives measurable growth.
Would you like me to draft a customized syllabus for your executive team’s AI training session?
References
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Awad, A. (2025). Data-Driven Marketing in Banks: The Role of Artificial Intelligence in Enhancing Marketing Efficiency and Business Performance. International Review of Management and Marketing. https://doi.org/10.32479/irmm.19738
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Fareniuk, Y. (2023). Optimization of Media Strategy via Marketing Mix Modeling in Retailing. Ekonomika. https://doi.org/10.15388/Ekon.2023.102.1.1
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Korneyev, M. (2022). Business marketing activities in Ukraine during wartime. Innovative Marketing. http://dx.doi.org/10.21511/im.18(3).2022.05
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Noviyanti, A. (2025). The Role of Transformational Leadership in Adaptive Business Strategy Implementation in the VUCA Era. SIMBA. 10.63985/simba.v1i1.9
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Pranata, S. (2025). Peningkatan Kesadaran dan Implementasi Green Marketing Bagi UMKM. Aspirasi Masyarakat. 10.71154/f1ntkf73
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Shwawreh. (2025). The Role of Green Business Strategy in Enhancing Digital Marketing Strategy for Sustainable Business Intelligence. International Review of Management and Marketing. 10.32479/irmm.18287
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Taşkın, N. (2022). An Empirical Study on Strategic Alignment of Enterprise Systems. Acta Infologica. 10.26650/acin.1079619
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Zelienková, A. (2022). What Theories Explain Entrepreneurship as Compared to Innovative Leadership? Acta Academica Karviniensia. 10.25142/aak.2022.019
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