Executive Perspectives on Top Risks for the Near- and Long-Term: Technology, Media and Telecommunications Industry Results

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By
Protiviti

Risk Management Best Practices for TMT Enterprises

Technology, media and telecommunications (TMT) companies are navigating a rapidly evolving landscape of risks that demand immediate attention and strategic foresight. Artificial intelligence (AI) is at the heart of this transformation, fundamentally reshaping the challenges these industries face. From the growing sophistication of AI-driven cyber threats like deepfake scams and ransomware to talent shortages and increasing regulatory complexities, the stakes have never been higher. Leaders must act decisively to build resilience, develop their workforce, and manage risks effectively. In today’s fast-paced environment, balancing innovation with security and compliance is no longer optional—it is essential for survival and long-term success.

To thrive in this new era, TMT leaders need to cultivate resilient teams, master the intricacies of AI governance, and remain agile as regulations evolve. Practical strategies include starting small AI projects before scaling, investing in diverse and multidisciplinary talent, and forming strategic partnerships to bridge expertise gaps. Cybersecurity must be prioritized across all business functions, not just IT, with a focus on collaboration and proactive risk management. Additionally, organizations should adopt multifaceted AI strategies that combine open-source and proprietary models, ensuring flexibility and compliance. Success in the TMT sector hinges on striking the right balance between operational efficiency and innovation while staying prepared for economic and regulatory disruptions. Those who embrace these imperatives will not only overcome current challenges but also position themselves as leaders in an AI-driven future.

Notable insights include:

  • Treat cybersecurity as a fundamental business priority.
  • Invest in workforce development to address AI-driven skill shortages.
  • Develop flexible, multifaceted AI strategies to mitigate emerging risks.
  • Foster agility and collaboration to navigate economic and regulatory changes effectively.