AI-Ready Infrastructure: The Backbone of Global Business Growth
AI is revolutionising global business operations for multinational organisations, driving efficiency, enhancing decision making, and simplifying complex processes. Learn how scalable digital infrastructure—from hybrid cloud to advanced security solutions—enables businesses to fully leverage AI and stay competitive across markets.
AI and automation are foundational for companies aiming to stay competitive. That’s probably why, Gartner predicts, worldwide AI spending to hit $2.5 trillion in 2026, a 44% increase year-on-year. Yet in today’s rapidly evolving digital landscape, large corporations often have to balance harnessing AI with ensuring security and compliance across diverse markets. This calls for a robust infrastructure strategy that prioritises scalability, resilience, and compliance.
Why a scalable digital infrastructure matters
More than just an IT asset, digital infrastructure is a fundamental business enabler for multinational organisations (MNCs). KPMG’s Global Tech Report 2026, PDF opens in a new window finds that organisations that spend half of their budgets on digital transformation now achieve an average 3.2x ROI from their digital transformation initiatives, outcomes made possible by the strength of their digital infrastructure. For global businesses managing complex cross-border operations, scalability is crucial to maintain flexibility amid regulatory demands. A data-driven infrastructure not only supports AI but also helps with real-time decision-making, operational efficiency, and robust data protection.
Hybrid and multicloud as strategic global imperatives
As global markets demand flexibility, companies increasingly rely on hybrid and multicloud environments. Hybrid multicloud solutions not only optimise costs but also support real-time insights—a significant advantage for businesses leveraging AI at scale. Gartner identifies hybrid computing as a leading infrastructure trend for 2026, describing it as an approach that orchestrates diverse compute, storage and networking mechanisms, giving organisations a flexible, distributed foundation to support applications and workloads. operations across complex global environments.
Enhancing data accessibility through colocation
As global organisations expand, the need for low-latency and high-performance networks become critical for their operations. Advanced colocation services from providers like Equinix and Digital Realty offer cloud-adjacent networks, integrating on-premises infrastructure with direct cloud peering. This arrangement enhances compliance, data accessibility, and performance for latency-sensitive applications, ensuring efficient operations.
AI and automation in global operations
AI is reshaping multinational organisations by enabling smarter, data-informed decisions across all operational levels. Around 71% of global CEOs now rank AI among their top investment priorities for 2026, treating it as strategic capital rather than experimentation, according to KPMG 2025 Global CEO Outlook.
AI-ready in decision-making
Predictive algorithms can analyse global market trends, forecast demand, and even identify new growth opportunities. This helps businesses to stay competitive as real-time decision-making is enhanced across all levels of operations, from supply chain optimisation to marketing strategies. AI also supports advanced data analytics, which companies can leverage to monitor production, optimise customer experiences, and improve resource allocation. However, these capabilities demand significant processing power and low-latency networks to handle vast data sets efficiently.
Automation of global operations
Organisations are using AI to automate essential tasks across finance, HR, and supply chain management, which results in cost savings and operational efficiencies. From automating invoice processing to real-time inventory management, AI empowers businesses to operate smoothly. Automation reduces the complexity of managing global operations by streamlining workflows, optimising resources, and minimising manual intervention. A robust infrastructure ensures AI applications run efficiently and can adapt to the evolving demands of global operations.
Security and compliance in the age of AI
As businesses integrate AI, cybersecurity and compliance become top concerns. Deloitte reports that hybrid and multicloud adoption heightens cyber risks with global frameworks, such as GDPR and CCPA, imposing stringent requirements on data management.
Cybersecurity in an MNC environment
As global organisations expand their digital operations, securing user identities has become a top priority. Cybercriminals increasingly exploit compromised credentials to gain unauthorised access to sensitive systems and data. To prevent breaches and ensure operational continuity, businesses require robust identity security frameworks that prioritise access control and authentication at every touchpoint. Advanced solutions like identity and access management (IAM) and zero trust network access (ZTNA) play a vital role in addressing these challenges.
Gartner predicts, by 2028, half of all organisations will adopt a zero-trust approach to data governance as unverified AI-generated data proliferates, highlighting the need for continuous data authentication and adaptive security measures to manage risk in a rapidly evolving AI landscape.
These systems adapt in real-time to potential threats, ensuring only verified users can access critical resources. By embedding identity security at the core of their cybersecurity strategy, businesses can enhance trust, maintain compliance with evolving regulations, and address emerging risks effectively.
Compliance and regulatory adherence
MNCs operate in complex regulatory environments, with countries imposing various compliance regulations such as GDPR in Europe and data residency laws in other regions. A strong cybersecurity framework can help achieve regulatory compliance without sacrificing operational efficiency. By leveraging colocation and hybrid multicloud services that offer regional compliance, MNCs can ensure data protection while continuing to innovate.
Telstra’s role in supporting global enterprises
Telstra International equips global organisations with AI-ready infrastructure and secure, high-performance connectivity to drive growth and streamline operations. By offering scalable cloud, network, and security solutions, Telstra helps simplify complex cross-border activities to enable organisations to focus on what matters most—their business.
Global connectivity for seamless operations
With Telstra’s high-performance global network, featuring over 400,000 km of subsea cables and extensive in-region presence, organisations gain reliable, robust connectivity across continents. This infrastructure supports real-time data flow and decision-making, facilitating seamless cross-border collaborations that are essential for maintaining global operational efficiency.
Colocation for secure, low-latency solutions
Telstra’s colocation services provide organisations with access to over 600 managed, partnered, and sustainable-focused data centres worldwide. Strategically located, these facilities offer secure data storage, low-latency connectivity, and compliance with local regulations, ensuring organisations can process data swiftly and maintain the security needed for AI-driven applications.
The future of AI-driven global organisations
As businesses adopt AI-driven processes and automation, having a resilient digital infrastructure can put enterprises at the forefront of staying competitive in a complex international market. Technology solutions providers like Telstra can support enterprises with the scalable networks, to navigate today’s digital landscape confidently.