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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

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...