Dr.Dwi Suryanto, MM., Ph.D.
Date: 26 Februari, 2026
Introduction
In the current global landscape, Artificial Intelligence (AI) has transitioned from a futuristic curiosity to the bedrock of competitive advantage. We are no longer debating if AI will transform the boardroom, but how fast leaders can integrate it to avoid obsolescence. As we navigate a “permacrisis” of geopolitical volatility and economic shifts, AI serves as the primary engine for resilience and strategic pivot.
Consider a Tier-1 retail executive in 2024 facing a sudden 20% spike in logistics costs due to regional instability. While traditional firms manually adjust spreadsheets, an AI-aligned organization utilizes predictive modeling to reroute supply chains in real-time, preserving margins and customer trust. This is not mere automation; it is strategic orchestration.
Concepts and Theoretical Foundations
To harness AI effectively, leadership must move beyond the “black box” mentality and embrace two core pillars:
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Strategic Alignment: As Nazım Taşkın (2022) emphasizes, the efficacy of enterprise systems is entirely dependent on how closely technology is tethered to core business objectives. Without alignment, AI is an expensive vanity project.
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Innovative Leadership: Strategic depth requires what Andrea Zelienková (2022) identifies as “Innovative Leadership”—a framework where leaders act as catalysts for technological adoption, bridging the gap between academic theory and the daily realities of the boardroom.
Evidence and Synthesis
The business case for AI is now backed by robust, cross-disciplinary evidence:
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Operational Excellence and ROI: Research by Abdelrehim Awad (2025) demonstrates that AI-driven marketing in the banking sector significantly elevates ROI by optimizing data usage. Similarly, Yana Fareniuk (2023) highlights that marketing mix modeling can boost retail campaign effectiveness by 15% through real-time data synthesis.
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Adaptability in Crisis: The work of Maxim Korneyev (2022) provides a sobering yet powerful insight: during the conflict in Ukraine, AI allowed businesses to maintain marketing and operational continuity under extreme pressure. AI is, therefore, a tool for survival as much as growth.
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The Green Imperative: Modern strategy cannot ignore ESG (Environmental, Social, and Governance). Research by Shwawreh (2025) and Sudadi Pranata (2025) indicates that AI-enabled “Green Business Strategies” do more than protect the planet—aka “Green Marketing”—they build profound brand loyalty among the conscious consumer base of 2025.
Current Data, Trends, and Policies (2023–2025)
The macro-economic landscape underscores this urgency. According to the McKinsey Global Institute (2024), Generative AI is projected to add between $2.6 trillion and $4.4 trillion annually to the global economy. Furthermore, IMF reports suggest that up to 40% of global employment is exposed to AI, necessitating a massive upskilling movement to prevent a “digital divide” in corporate productivity.
Cause–Effect Patterns
The logic of AI success follows a clear, verifiable mechanism:
Strategic Alignment (Taşkın, 2022) → Innovative Leadership (Zelienková, 2022) → AI Adoption → Data-Driven Efficiency (Awad, 2025) → Sustainable Growth & Resilience (Shwawreh, 2025).
In short: Deep strategic integration + Visionary leadership = Sustained Market Dominance.
Cross-Domain Insights
To truly lead, we must look beyond business. In Complexity Theory, a system’s survival depends on “synchronicity.” Similarly, if AI tools operate in silos, the corporate organism fails.
From Organizational Psychology, the work of Anis Noviyanti (2025) suggests that successful AI implementation requires “Psychological Safety.” Employees must feel that AI is an augmenter of their talent, not a replacement. This mirrors ecological principles where the most successful species are those that adapt through symbiosis rather than mere competition.
Practical Recommendations
For CEOs and Board Members:
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Prioritize “Strategic Alignment” audits. Ensure your AI roadmap directly serves your 5-year vision.
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Invest in leadership development that focuses on “Adaptive Strategy” (Noviyanti, 2025).
For Middle Managers:
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Implement AI-driven “Marketing Mix Modeling” to optimize department budgets and prove ROI (Fareniuk, 2023).
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Foster a culture of experimentation where data, not hierarchy, drives decisions.
For Policymakers:
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Encourage “Green Digital Marketing” frameworks to ensure AI adoption aligns with national sustainability goals (Pranata, 2025).
Conclusion
AI is the defining strategic frontier of our decade. It is the difference between a company that reacts to the market and one that shapes it. However, technology alone is insufficient; it requires the steady hand of expert leadership and a rigorous, evidence-based approach to implementation.
At Borobudur Training & Consulting, we empower leaders to master this transition. We invite you to join our AI Leadership Training programs designed for senior executives. Furthermore, for organizations ready to move from theory to execution, our Business Consulting Services provide bespoke AI implementation strategies to ensure your business remains at the vanguard of innovation.
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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McKinsey & Company (2024). The Economic Potential of Generative AI: The Next Productivity Frontier.
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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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