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How to Stay Resilient as Tariffs Disrupt Cloud and AI Innovation

Dmitry Panenkov
emma

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over. As global tensions and trade policies introduce new variables into cloud infrastructure planning, organizations must confront an urgent question: Are our cloud and AI operations truly resilient and flexible enough to weather this storm — and the next one?

While the challenges are real, so is the opportunity. Enterprises can use this disruption as a catalyst to reassess their digital foundations and adopt smarter, more adaptable strategies that don't just react to disruption, but are designed to thrive in spite of it. Resilience in cloud operations is no longer a "nice to have," it's a strategic imperative.

The Tariff Landscape: What's Changing and Why It Matters

The latest round of US tariffs represents a seismic shift in the economics of cloud computing and AI infrastructure. Key hardware components — such as semiconductors, GPUs, servers, and high-capacity data storage systems — now face tariff rates as high as 145% if imported from China.

These are not isolated policy tweaks; they are part of a broader geopolitical strategy aimed at reducing America's reliance on Chinese tech manufacturing and reclaiming control over critical technology supply chains. As a result, enterprises that rely heavily on imported infrastructure, particularly from China, Taiwan, and South Korea, are finding themselves caught in the crosshairs of international trade tensions. The consequences are immediate: escalating hardware costs, disrupted procurement strategies, and growing uncertainty around long-term infrastructure planning.

For CIOs and CTOs, the new tariff landscape is an immediate operational crisis. Sudden cost surges are blowing apart already high cloud spend models, with procurement teams now scrambling to account for multi-million-dollar overruns on AI infrastructure, networking equipment, and compute capacity. These budget blowouts are particularly painful for enterprises locked into long-term, single-vendor cloud contracts, where flexibility is limited and switching costs are prohibitively high. The result is a deepening sense of strategic uncertainty, with organizations pausing or rethinking digital transformation initiatives until they can secure more flexible, future-proof frameworks.

Adjustments and Responses

As tariffs escalate and geopolitical tensions persist, businesses are rethinking the very foundation of their supply chains. The lessons of COVID-era disruptions remain fresh, and now, with US tariffs targeting critical tech imports like semiconductors, GPUs, and networking components, companies are accelerating diversification efforts. Enterprises are diversifying their sourcing strategies, looking beyond China to countries like Vietnam and India. Vietnam, with its diplomatic agility, and India, with its scale and ambitions in chip fabrication, are both rising players in the global tech manufacturing ecosystem. However, challenges persist — Vietnam still lacks China's robust production capacity, and India's ramp-up will take time.

Alongside geographic diversification, there's a notable resurgence in vertical integration. Tech giants like TSMC and Intel are investing billions in domestic manufacturing, aiming to bring chip production back onshore and regain control over critical nodes in the tech supply chain. The message from the boardroom to the data center has never been clearer: resilience is now a core metric of operational health.

What Can Organizations Do?

To stay resilient amid the growing disruption caused by tariffs on cloud infrastructure and AI innovation, enterprises must pivot from static, vendor-locked strategies to dynamic, adaptable architectures. Here's how:

1. Embrace Multi-Cloud and Hybrid Cloud Models: Distributing workloads across multiple cloud providers and geographic regions minimizes dependency on any single vendor or infrastructure environment. This mitigates the impact of policy shifts, tariffs, or localized supply chain disruptions.

2. Invest in Cloud-Agnostic Management Platforms: Platforms that offer real-time visibility into usage, cost, and performance enable companies to make fast, data-driven decisions when tariffs or policy shifts impact specific vendors or geographies.

3. Diversify Supply Chains: This reduces dependence on any one region, particularly those vulnerable to trade restrictions. Move from reactive to proactive infrastructure planning. This includes forging relationships with emerging tech manufacturing hubs and investing in procurement agility.

Conclusion

The new era of tariffs is more than just a pricing issue, it's a profound disruption to how enterprises plan, build, and operate their digital infrastructure. For CIOs, CTOs, and procurement leaders, this is a defining moment. Resilience must be engineered into every layer of cloud and AI operations.

Gone are the days when convenience, cost-efficiency, or vendor loyalty were enough. Today's infrastructure must be built for uncertainty. That means rejecting single-vendor dependencies, embedding agility into infrastructure decisions, and building global supply chains that can bend without breaking. The organizations that respond proactively — rethinking strategy, investing in adaptability, and aligning digital infrastructure with geopolitical realities — will emerge not just intact, but ahead. In a world where disruption is the new constant, structural resilience is the ultimate competitive advantage.

Dmitry Panenkov is Founder and CEO of emma

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How to Stay Resilient as Tariffs Disrupt Cloud and AI Innovation

Dmitry Panenkov
emma

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over. As global tensions and trade policies introduce new variables into cloud infrastructure planning, organizations must confront an urgent question: Are our cloud and AI operations truly resilient and flexible enough to weather this storm — and the next one?

While the challenges are real, so is the opportunity. Enterprises can use this disruption as a catalyst to reassess their digital foundations and adopt smarter, more adaptable strategies that don't just react to disruption, but are designed to thrive in spite of it. Resilience in cloud operations is no longer a "nice to have," it's a strategic imperative.

The Tariff Landscape: What's Changing and Why It Matters

The latest round of US tariffs represents a seismic shift in the economics of cloud computing and AI infrastructure. Key hardware components — such as semiconductors, GPUs, servers, and high-capacity data storage systems — now face tariff rates as high as 145% if imported from China.

These are not isolated policy tweaks; they are part of a broader geopolitical strategy aimed at reducing America's reliance on Chinese tech manufacturing and reclaiming control over critical technology supply chains. As a result, enterprises that rely heavily on imported infrastructure, particularly from China, Taiwan, and South Korea, are finding themselves caught in the crosshairs of international trade tensions. The consequences are immediate: escalating hardware costs, disrupted procurement strategies, and growing uncertainty around long-term infrastructure planning.

For CIOs and CTOs, the new tariff landscape is an immediate operational crisis. Sudden cost surges are blowing apart already high cloud spend models, with procurement teams now scrambling to account for multi-million-dollar overruns on AI infrastructure, networking equipment, and compute capacity. These budget blowouts are particularly painful for enterprises locked into long-term, single-vendor cloud contracts, where flexibility is limited and switching costs are prohibitively high. The result is a deepening sense of strategic uncertainty, with organizations pausing or rethinking digital transformation initiatives until they can secure more flexible, future-proof frameworks.

Adjustments and Responses

As tariffs escalate and geopolitical tensions persist, businesses are rethinking the very foundation of their supply chains. The lessons of COVID-era disruptions remain fresh, and now, with US tariffs targeting critical tech imports like semiconductors, GPUs, and networking components, companies are accelerating diversification efforts. Enterprises are diversifying their sourcing strategies, looking beyond China to countries like Vietnam and India. Vietnam, with its diplomatic agility, and India, with its scale and ambitions in chip fabrication, are both rising players in the global tech manufacturing ecosystem. However, challenges persist — Vietnam still lacks China's robust production capacity, and India's ramp-up will take time.

Alongside geographic diversification, there's a notable resurgence in vertical integration. Tech giants like TSMC and Intel are investing billions in domestic manufacturing, aiming to bring chip production back onshore and regain control over critical nodes in the tech supply chain. The message from the boardroom to the data center has never been clearer: resilience is now a core metric of operational health.

What Can Organizations Do?

To stay resilient amid the growing disruption caused by tariffs on cloud infrastructure and AI innovation, enterprises must pivot from static, vendor-locked strategies to dynamic, adaptable architectures. Here's how:

1. Embrace Multi-Cloud and Hybrid Cloud Models: Distributing workloads across multiple cloud providers and geographic regions minimizes dependency on any single vendor or infrastructure environment. This mitigates the impact of policy shifts, tariffs, or localized supply chain disruptions.

2. Invest in Cloud-Agnostic Management Platforms: Platforms that offer real-time visibility into usage, cost, and performance enable companies to make fast, data-driven decisions when tariffs or policy shifts impact specific vendors or geographies.

3. Diversify Supply Chains: This reduces dependence on any one region, particularly those vulnerable to trade restrictions. Move from reactive to proactive infrastructure planning. This includes forging relationships with emerging tech manufacturing hubs and investing in procurement agility.

Conclusion

The new era of tariffs is more than just a pricing issue, it's a profound disruption to how enterprises plan, build, and operate their digital infrastructure. For CIOs, CTOs, and procurement leaders, this is a defining moment. Resilience must be engineered into every layer of cloud and AI operations.

Gone are the days when convenience, cost-efficiency, or vendor loyalty were enough. Today's infrastructure must be built for uncertainty. That means rejecting single-vendor dependencies, embedding agility into infrastructure decisions, and building global supply chains that can bend without breaking. The organizations that respond proactively — rethinking strategy, investing in adaptability, and aligning digital infrastructure with geopolitical realities — will emerge not just intact, but ahead. In a world where disruption is the new constant, structural resilience is the ultimate competitive advantage.

Dmitry Panenkov is Founder and CEO of emma

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...