Market Impact Report

Tariffs lit the fuse for bold enterprises to automate

This Market Impact Report is for CIOs, chief procurement officers, chief operating officers, and enterprise sourcing and transformation leaders evaluating how to restructure delivery models, vendor contracts, and automation strategies in response to trade volatility and tariff risk.

Executive summary

Tariffs are back in the headlines, causing business headaches—but they’re not the root problem. They’re a symptom of a deeper issue: enterprises are operating in a world of sustained volatility.

The past five years have hurled enterprises into a relentless storm of pandemics, geopolitical tensions, snarled supply chains, inflation spikes, and shifting regulations. Trade policy isn’t a standalone headache; it’s woven deeply into a continuous cycle of disruption. Even if tariffs haven’t yet hit many enterprises head-on, the mere shadow of trade disruption has laid bare glaring vulnerabilities: stubbornly inflexible delivery models, dangerously concentrated vendor dependencies, and woefully inadequate scenario planning.

To understand how leaders navigate these dynamics, HFS Research, in collaboration with KPMG LLP (KPMG), surveyed 402 US-based senior executives across seven major industries and conducted in-depth interviews with senior executives from Global 2000 organizations. The focus was to understand both the short and long-term impacts of trade policies on services delivery and outsourcing among major enterprises. The findings revealed that while most enterprises remain reactive, a significant minority is engaged in fundamentally re-architecting how services are delivered, governed, and protected.

Key takeaways
  • Trade disruption isn’t the real threat—enterprise inertia is.
    While trade wars are the top global concern, 69% of enterprises remain frozen or focused on short-term cuts. Only 22% are proactively scenario planning. The gap between concern and preparation is widening, and some are using it to leap ahead.
  • Automation, not relocation, is the first line of defense.
    83% of enterprise leaders said they’re accelerating AI and automation initiatives to address tariff threats. Automation offers immediate insulation without the disruption of relocation.
  • Services are shifting from people to platforms.
    Traditional outsourcing (where providers scale labor to fulfill task-based delivery) is expected to decrease from 55% to 37% in two years, while platform-based models will rise from 14% to 30%. The services-as-software shift is turning delivery into a modular, geography-neutral capability.
  • Contracts must be rewritten for volatility, not just cost.
    Only 28% said their current commercial models are fit for today’s unpredictable environment. Enterprises are demanding elastic contracts that support modularity, dual-sourcing, and delivery flexibility.
  • Vendor sourcing is becoming a test of adaptability.
    55% are planning to reassess vendor concentration, and 52% are favoring partners with flexible delivery models over those offering the lowest cost. In short, procurement is evolving from a cost gatekeeper to a strategic risk buffer.

This isn’t a story about tariffs—it’s about adaptation. While 69% of enterprises remain frozen or reactive, the transformative 22% are using uncertainty to restructure and gain lasting advantages. Organizations investing in real resilience today will move forward as volatility becomes the permanent backdrop to business.

  • Enterprise inertia, not trade disruption, is the real threat

Tariffs aren’t triggering panic; they’re exposing paralysis. Enterprises are frozen at the edge of transformation.

Tariffs aren’t existential threats for most enterprises. Instead, they’re shining an uncomfortable light on brittle operating models designed for a bygone era of steady growth, predictable supply chains, and frictionless globalization.

Volatility today doesn’t start and stop at supply chains. It cuts across consumer demand, regulatory exposure, service delivery, and innovation planning. When we asked enterprise leaders to rank their top global concerns, they cited the usual suspects: trade wars, supply chain disruption, and rising offshore labor costs. However, a different story emerged when we shifted the lens to local and downstream impacts. The top concerns were consumer demand contraction, slowdowns in innovation and R&D, and increased compliance burdens (see Exhibit 1).

Exhibit 1: Enterprise leaders’ top global (left) and downstream (right) concerns

Two-column ranked table showing enterprise leaders' concerns. Left column answers the question "Which of the following global economic or policy risks are of greatest concern to your organization?" Top three ranked items are: 1. Trade wars, 2. Supply chain disruptions, 3. Rising offshore labor costs. Items ranked 4 through 11 are: Tariffs on goods (4), Energy/resource cost/availability (5), Regulatory compliance burdens (6), IT services tariffs (7), Currency/inflation volatility (8), Restriction on people's movement such as visa constraints (9), Political instability/Sanctions (10), Trade restrictions (11). Right column answers the question "Which of the following local or downstream impacts of trade and tariff policy raises concern for your organization?" Top three ranked items in bold are: 1. Decrease in consumer spending or market demand, 2. Disruption to innovation or R&D investment, 3. Increased regulatory burdens on US firms in foreign markets. Items ranked 4 through 9 are: Erosion of local competitiveness or growth potential (4), Brand risk or reduced demand for US services abroad (5), Loss of skilled workers to other regions/reverse brain drain (6), Reduced attractiveness of the US for talent and investment (7), Increased internal polarization or civil unrest (8), Delays in digital or transformation programs (9). Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

This distinction matters. A senior global operations executive at a leading US-based beauty brand explained: “Tariffs weren’t the problem. We were already known for being a ‘made in America’ company. The retaliatory threats and drop in customer demand could shift everything.” Even companies with low direct exposure to cross-border trade are experiencing ripple effects in their growth plans, sourcing models, and customer outlook.

Yet, despite these signals, enterprise response remains sluggish. While most firms report that the current US trade policy is hurting their operations, only 22% are actively scenario planning for escalation or structural change (see Exhibit 2). Most are stuck in a reactive mode, delaying transformation, defaulting to cost containment, and waiting for clarity.

Exhibit 2: Most enterprises are in wait-and-see mode – 37% are waiting it out, 32% are scrambling with reactive cost cuts, and only 22% are proactively scenario planning

Combined bar chart and breakdown table. Left bar chart shows overall enterprise leadership reaction to recent tariffs: 7% are downplaying risks and continuing as planned, 37% are adopting a wait-and-see approach, 32% are taking reactive short-term cost-saving measures, and 22% are proactively scenario planning and restructuring operations. Right table breaks down the same four responses by industry. Life sciences (n=50): 6% downplaying, 52% wait-and-see, 24% reactive, 16% proactive. Insurance (n=50): 4%, 44%, 24%, 24%. Banking and financial services (n=76): 4%, 36%, 41%, 18%. Manufacturing and industrial (n=50): 0%, 40%, 32%, 28%. Telecommunications, media, and technology (n=76): 9%, 39%, 28%, 24%. Retail and consumer products (n=50): 12%, 24%, 36%, 26%. Energy and utilities (n=50): 18%, 22%, 34%, 22%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

What’s most revealing is how this inertia plays out across industries, even those with significant trade exposure. In the life sciences and insurance sectors, over 40% have paused transformation plans—including tech upgrades, digital workflows, and sourcing redesigns—despite the regulatory and supply chain pressures from trade policies, while only 12–16% are moving faster. Even in energy and utilities, an industry positioned to benefit from domestic investment trends driven by trade policy, most firms are still hedging for stability rather than pushing for strategic change.

It’s not a crisis of awareness—but one of readiness

The threat is not receding but rather accelerating. While 52% of firms said that current trade policy is already disrupting delivery, that number jumped to 74% when asked about the next two years (see Exhibit 3).

Exhibit 3: Current and projected impact of trade policy on sourcing and delivery

Paired horizontal bar chart comparing current ("Today") and projected ("Two years") impact of trade policy changes on sourcing and delivery strategies. Five response categories are shown. Today vs two years: Significant disruption to current sourcing or delivery plans: 26% today, 37% in two years. Minor adjustments, but manageable: 26% today, 37% in two years. No impact yet, but we anticipate disruption: 38% today, 14% in two years. No impact and none anticipated: 9% today, 9% in two years. Unsure: 1% today, 3% in two years. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

Yet, most enterprises aren’t preparing. Just 15% said they accelerated transformation in response, while 38% have paused or delayed initiatives (see Exhibit 4). There’s an odd logic at work: the greater the uncertainty, the more organizations retreat.

As Ron Walker, Global Head of Managed Services at KPMG LLP, put it: “The real shift isn’t just about trade policy. It’s about recognizing that old delivery models were built for cost, not resilience. Now companies need both.”

Waiting around might’ve been acceptable in the old, slower world, but today’s environment allows trade policy shifts to be broadcast in real time even before contracts catch up. A Global Business Services (GBS) leader of a Fortune 500 CPG firm remarked, “You can’t build a five-year roadmap around a policy that can change with a social media post.”

Exhibit 4: 38% have paused or delayed initiatives, while 15% have accelerated transformation in response to trade risk

Combined bar chart and industry breakdown table. Left bar chart shows how organizations adjusted investment or transformation plans in response to trade and tariff changes: 7% made no significant changes, 38% paused or delayed most planned initiatives, 40% made selective adjustments, and 15% accelerated major transformation or modernization initiatives. Right table breaks down accelerated transformation vs paused or delayed by industry. Life sciences (n=50): 12% accelerated, 52% paused. Insurance (n=50): 16% accelerated, 42% paused. Banking and financial services (n=76): 12% accelerated, 41% paused. Manufacturing and industrial (n=50): 10% accelerated, 40% paused. Telecommunications, media, and technology (n=76): 11% accelerated, 39% paused. Retail and consumer products (n=50): 14% accelerated, 30% paused. Energy and utilities (n=50): 32% accelerated, 20% paused. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

Some enterprises are using the noise to move

But not everyone is retreating. A small but significant subset of organizations is using chaos as the impetus for reinvention. A GBS executive described how a tariff threat-induced hiring freeze helped stabilize technical talent. When attrition dropped and external movement slowed, that window became the perfect moment to test automation at scale.

Their team ran more than 20 pilots across key workflows, reallocating more than 300 roles through AI augmentation. It was a deliberate repositioning effort: de-risking delivery today while building muscle for tomorrow. These examples are still the exception, but they point to a different mindset: one that sees turbulence not as a reason to pause but as the best moment
to move.

  • Automation, not relocation, is the first line of defense

Enterprises aren’t fleeing geography; they’re automating around it.

When disruption strikes, enterprises don’t start with relocation or renegotiation. They turn to automation. It’s faster, quieter, and avoids the red tape of structural change.

A significant 83% of enterprise leaders said they’re either already accelerating or are very likely to accelerate AI and automation initiatives in response to the geopolitical and trade uncertainty. This spans everything from automating supplier onboarding and invoice processing to reprogramming how support, compliance, and planning workflows are executed. Why automation? Because it delivers impact without inviting complexity. It doesn’t require site moves, new vendor contracts, or regulatory reviews. It’s the one lever companies can pull fast—quietly reengineering the work itself before taking bigger swings. And it’s not just talk—40% said they will act within the next 12 months, more than any other tactic by a significant margin (see Exhibit 5).

Exhibit 5: AI and automation lead as the most likely and active response to trade volatility

Two-panel exhibit. Left panel: stacked horizontal bar chart showing likelihood of taking specific actions in response to geopolitical or trade uncertainty, with two segments per bar (Very likely and We are already doing this). Accelerating AI and automation: 49% very likely, 34% already doing = 83% combined. Re-evaluating vendor mix: 36% + 34% = 70%. Diversifying delivery across multiple regions: 41% + 30% = 71%. Opening new global capability centers (GCCs): 41% + 30% = 71%. Offshoring to lower-cost overseas locations: 25% + 35% = 60%. Creating redundancy in critical functions: 33% + 30% = 63%. Consolidating service vendors: 43% + 21% = 64%. Nearshoring services to Latin America or Canada: 21% + 20% = 41%. Reshoring services to the US: 18% + 17% = 35%. Right panel: table showing percentage of respondents (who said somewhat or very likely) planning to act within 12 months per action. Accelerating AI and automation: 40%. Re-evaluating vendor mix: 33%. Diversifying delivery across multiple regions: 28%. Opening new GCCs: 18%. Offshoring to lower-cost overseas locations: 26%. Creating redundancy in critical functions: 35%. Consolidating service vendors: 30%. Nearshoring services to Latin America or Canada: 26%. Reshoring services to the US: 16%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

The reason is not because automation is the most transformative option—it’s the most deployable. It doesn’t provoke regulators or public scrutiny. It’s fast, discreet, and under enterprise control, making it the default response even when it’s not the long-term answer.

The head of operations at a multinational consumer goods company noted that while automation initiatives had long been on the roadmap, they rarely cleared the investment hurdle until the external pressure shifted. “We had the automation plans ready. But the numbers never justified the spend. Now that even a 10% tariff can swing the balance sheet, it’s a different equation.“

Enterprises automate early, absorb costs second, and delay the rest

When asked about the tariff levels that would initiate specific actions, enterprise leaders outlined a clear sequence of escalation. AI and automation came first, triggered at just 5–10% tariff levels by 61% of respondents—the highest early activation rate across all options. The second most common early-stage move is to absorb the costs internally, with 56% of enterprises opting to bear the brunt of tariff hikes before considering structural changes (see Exhibit 6).

This shows how enterprises are prioritizing risk response. AI is the hedge—the first lever pulled, not because it’s radical but for its promise of productivity without upheaval. The only other actions triggered early with any scale are renegotiating vendor contracts (46%) and exploring new delivery models (55%), both of which serve as transitional maneuvers to buy time, not transform the model.

Exhibit 6: Enterprises pull the AI lever early, while most other responses wait for higher tariff thresholds

Two-panel exhibit. Left panel: stacked horizontal bar chart showing at which tariff level (5%, 10%, 15%, 20%, 25%+, or no action regardless of level) organizations would initiate each action. Accelerate automation and AI initiatives: 25% at 5%, 36% at 10%, 19% at 15%, 11% at 20%, 6% at 25%+, 3% no action. Absorb additional costs internally: 26% at 5%, 30% at 10%, 22% at 15%, 12% at 20%, 7% at 25%+, 2% no action. Explore new delivery models (e.g., SaaS, agents): 23% at 5%, 32% at 10%, 17% at 15%, 15% at 20%, 12% at 25%+, 1% no action. Renegotiate vendor contracts: 14% at 5%, 32% at 10%, 28% at 15%, 17% at 20%, 8% at 25%+, 1% no action. Shift services to US or nearshore markets: 7%/15% at 5%/10%, 27% at 15%, 25% at 20%, 23% at 25%+, 3% no action. Reduce scope of outsourced functions: 7%/14% at 5%/10%, 20% at 15%, 29% at 20%, 29% at 25%+, 1% no action. Pause or cancel outsourcing projects: 4%/10% at 5%/10%, 30% at 15%, 45% at 20%, 2% no action. Right panel: table showing percentage acting under 15% tariff threshold per action. Accelerate automation and AI initiatives: 61%. Absorb additional costs internally: 56%. Explore new delivery models: 55%. Renegotiate vendor contracts: 46%. Shift services to US or nearshore markets: 22%. Reduce scope of outsourced functions: 21%. Pause or cancel outsourcing projects: 13%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

Most enterprises aren’t leaping into new markets or overhauling sourcing strategies. They’re stabilizing spend and preserving existing structures. Geographic moves such as reshoring or even nearshoring remain marginal; only 22% said they would shift services to the US or nearby markets at sub-15% tariff levels, and even fewer (13%) would consider pausing or cancelling outsourcing entirely. Companies aren’t choosing between automation and relocation—they’re using automation to avoid relocation entirely, achieving speed, discretion, and minimal disruption.

Rahsaan Shears, Principal at KPMG and aiQ Program Lead, framed the shift as deeper than just automation: “AI is reshaping how work gets done and it’s exposing the limits of traditional, in-house operating models. That’s where managed services comes in. It gives organizations the ability to scale faster, with built-in access to automation, analytics, specialized talent, and global delivery.

This isn’t just outsourcing. It’s a new way to run the business, one that can keep up with AI’s pace and extend transformation across every function. To make it work, companies need more than tech. They need clear roles, stronger data foundations, and a culture ready to embrace continuous change.”

This shift is more than just where work gets done—it’s about how. Enterprises are turning to AI and managed services not as a stopgap but as a way to rewire their delivery models for volatility and scale.

  • Services are shifting from people to platforms

Enterprises are no longer buying services—they’re investing in agility.

In the past, geopolitical disruption has been associated with broken supply chains—ports clogged with containers, semiconductor droughts, and factories forced to relocate. Meanwhile, services seemed immune, a safe haven from global shocks. But that assumption is unraveling fast. Digital services, previously considered bulletproof, are now undeniably within the geopolitical blast zone.

Tax is just part of the concern. Enterprises are worried whether services can withstand volatility in the first place. When asked which services would be most vulnerable if tariffs extended to digital or third-party delivery, respondents pointed to the operating system of modern business (see Exhibit 7): IT consulting (46%), contact centers (41%), and SaaS (34%). These aren’t fringe services—they’re foundational.

Exhibit 7: IT consulting, contact centers, and SaaS top the list of services most exposed to trade disruption

Horizontal bar chart showing which types of services enterprise leaders expect to be most impacted if tariffs or trade restrictions expand to cover third-party or digital services. IT consulting and implementation: 46%. Customer service and contact center operations: 41%. SaaS software subscriptions: 34%. Cloud infrastructure or platforms: 28%. Engineering and product development: 28%. Data and analytics services: 27%. Finance and accounting services: 24%. IT and infrastructure support: 18%. Financial or tax advisory services: 13%. Procurement and supply chain support: 12%. Regulatory, legal, or compliance support: 11%. None/not applicable: 2%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

Even if service tariffs aren’t yet a reality, the perceived exposure is already shifting enterprise behavior. Services are being restructured, not because of what has changed, but rather what could.

From headcount to APIs: The shift to services-as-software

The real shift isn’t away from outsourcing—but from labor-based delivery. Over the next 24 months, traditional outsourcing models (defined by location dependency and manual effort) are expected to drop from 55% to 37%. In contrast, modular and software-based services—including embedded platforms, AI-powered workflows, and automation-first delivery—will more than double from 14% to 30%. Managed services, particularly those blending automation with outcomes, remain steady, highlighting the shift from staffing to scalable systems (see Exhibit 8).

Exhibit 8: Enterprises are shifting from outsourcing to modular platforms and digital services

Paired horizontal bar chart comparing current ("Today") and projected ("In two years") service delivery model composition. Three delivery model categories shown. Software-based service delivery (e.g., embedded platforms, AI-powered workflows, minimal human labor): 14% today, 30% in two years. Managed services 2.0 (e.g., outcome-based, automation-enabled services with more flexibility): 32% today, 33% in two years. Traditional third-party outsourcing (e.g., people-based, location-dependent delivery models): 55% today, 37% in two years. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

This isn’t just a geopolitical hedge—it’s a structural reset. Enterprises are prioritizing automation and AI-enabled delivery for speed, resilience, and control. Half of the respondents said they’re turning to automation to accelerate service delivery without increasing headcount. Others cited the need to reduce offshore labor volatility (41%), drive long-term transformation (38%), and address tariff-related cost increases (37%) (see Exhibit 9).

Exhibit 9: AI-enabled service delivery interest is driven by speed, volatility protection, and tariff pressure

Horizontal bar chart showing which motivations influence organizational interest in automation or AI-enabled delivery models. Accelerating service delivery without increasing headcount: 50%. Reducing exposure to offshore labor volatility: 41%. Driving long-term transformation and innovation: 38%. Responding to increased delivery costs due to tariffs or policy changes: 37%. Driving long-term transformation and innovation (second instance as shown in source): 27%. Improving regulatory or compliance alignment: 23%. We are not actively exploring automation or AI-enabled delivery: 5%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

This is not about chasing cheaper labor markets anymore. Enterprises are doubling down on delivery models where geography and headcount no longer dictate outcomes. As a CTO of a Fortune 500 firm put it: “We are not chasing the next low-cost country. We are chasing a model that doesn’t care where the cost sits.”

This is the foundation of the services-as-software shift. Software is no longer a wrapper around work—it is the work. Instead of scoping headcount and signing service-level agreements, enterprises are embedding workflows and configuring capabilities. As services become software, the criteria for choosing who delivers them is being fundamentally rewritten.

  • Vendor sourcing is becoming a test of adaptability

Picking the right vendors matters; structuring the right relationships matters more.

Enterprises are no longer evaluating service providers based on traditional metrics. Size, reputation, and cost competitiveness—the holy trinity of vendor selection—are giving way to a new priority: maneuverability. In a world where trade winds shift overnight, the real test for vendors isn’t meeting today’s specs—it’s whether they’ve got the agility to pivot when tomorrow flips the script.

Geographic flexibility trumps cost and expertise

The data clearly reveals this shift. When asked about the most important vendor selection criteria, 56% of enterprises now prioritize flexibility of delivery location above all else. That beats out cost and ROI transparency (35%), regulatory compliance readiness (32%), and even past experience and trust (28%) (see Exhibit 10).

Exhibit 10: Flexibility of location is the top vendor selection criterion

Horizontal bar chart showing which selection criteria have become important when evaluating service providers due to the threat of tariffs. Flexibility of delivery location: 56% (highlighted as top response). US-based operations: 38%. Cost and ROI transparency: 35%. Regulatory compliance readiness: 32%. Scalability and speed of deployment: 31%. Past experience and trust they can get the job done: 28%. Industry-specific knowledge: 24%. AI/agentic capabilities: 23%. Cultural fit and long-term partnership potential: 17%. Existing IP that can be scaled: 15%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

This is a fundamental reordering of what enterprises value in partnerships. Geographic agility has become the new table stakes, while traditional strengths such as industry expertise (24%) and cultural fit (17%) have slipped down the priority list.

Best-of-breed beats consolidation when volatility is the enemy

The vendor strategy follows the same logic. When asked about their primary sourcing approach in response to current pressures, 37% of enterprises favor best-of-breed solutions for flexibility. This significantly outpaces consolidation plays such as shifting to large multi-service providers (24%) or reducing external reliance through insourcing (16%) (see Exhibit 11).

Exhibit 11: Enterprises are prioritizing flexibility over consolidation

Horizontal bar chart showing organizations' primary vendor sourcing strategy in response to current pressures. Favoring best-of-breed solutions for flexibility: 37%. Shifting toward large, multi-service providers for stability: 24%. Increasing in-house delivery to reduce external reliance: 16%. Exploring smaller or emerging players for innovation: 15%. No major shift, maintaining current sourcing model: 8%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

This is a subtle but powerful shift. Enterprises are not picking partners based on scale or one-stop shopping convenience but on adaptability—how quickly a vendor can reconfigure delivery if geopolitical realities shift. The emphasis is on building a portfolio of specialized providers that can move fast rather than betting on integrated giants that might be too complex to pivot.

Vendor relationships are in wholesale reassessment

The scale of change is significant. Seventy percent of enterprises are either very likely to reevaluate their vendor mix or are already doing so, making this one of the most widespread responses to trade uncertainty. But enterprises aren’t just swapping providers—they’re fundamentally changing what they buy.

Over 90% plan to increase AI-specific spending over the next 12 months, while 18% are pulling back on traditional IT services. This shift toward AI-enabled providers reflects a broader strategy: partnering with vendors that can automate away geographic risk rather than simply relocate it.

  • Sourcing strategies are being rebuilt for instability

Enterprises are no longer sourcing just for value; they’re sourcing for volatility.

Geopolitical storms, tariff uncertainty, and regulatory volatility aren’t just shaking things up—they’re rewriting vendor management rules entirely. Procurement teams, once considered mere gatekeepers or bargain-hunters, are now at the strategic forefront, architecting resilience into their operating DNA.

Contracts are evolving into built-in contingency systems

Sourcing agility isn’t just about who you choose. It’s about how you contract. Here, the strategy has fundamentally shifted: contracts are now tools for building in flexibility before
disruption hits.

More than half of enterprises (52%) are inserting renegotiation clauses tied to economic or policy triggers. Another 41% are breaking large contracts into smaller, modular scopes, and 37% are shifting to more variable or consumption-based pricing models (see Exhibit 12).

Enterprises are moving from long-cycle partnerships to dynamic agreements that can adapt in real time. The traditional approach—lock in favorable terms and cruising comfortably for three to five years—no longer works when a single policy announcement can shred every assumption overnight.

Exhibit 12: Enterprises are rewriting contracts to build in flexibility

Horizontal bar chart showing how organizations are restructuring contracts with service providers in response to uncertainty. Adding renegotiation clauses based on economic triggers: 52%. Breaking large contracts into smaller, modular scopes: 41%. Moving to more variable or consumption-based models: 37%. Favoring fixed-price contracts for cost predictability: 18%. No changes to the contract structure: 10%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

These aren’t incremental moves. They’re structural responses to persistent instability. Procurement teams are translating this mindset into action. Over half (53%) now mandate multi-region service redundancy, 44% require onshore delivery clauses, and 40% have tightened compliance and audit protocols (see Exhibit 13).

These actions show that sourcing is no longer just about cost optimization. It’s a resilience strategy. Procurement has become a strategic shock absorber—anticipating disruption, not just reacting to it.

Exhibit 13: Procurement is taking the lead on resilience-building

Horizontal bar chart showing how procurement functions have responded to trade and tariff pressures. Mandated multi-region service redundancy: 53% (highlighted in dashed box as top response). Required onshore delivery clauses: 44%. Tightened compliance and audit protocols: 40%. Requiring third parties to reduce costs by a pre-defined %: 39%. Accelerated shift to outcome-based contracting: 32%. Freezing discretionary IT spend: 31%. Imposed stricter data residency policies: 24%. Moving more toward time and materials and fixed-term contracts: 21%. Extended contracts to beyond Net 30: 18%. No changes have been made yet: 4%. Not sure: 1%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

Data sovereignty drives new contractual requirements

The urgency extends beyond commercial terms to data control. Sixty percent of enterprises are ‘extremely’ and ‘very concerned’ about losing control over where their data is stored or processed due to global trade changes (see Exhibit 14). This isn’t theoretical anxiety; it’s driving concrete contractual changes.

“In today’s disruptive landscape, external pressures such as shifting regulations and rapid tech change are often compounded by inefficient data management and legacy deployments,” said Chris Yeaton, Tax Managed Services Leader, KPMG LLP. “Once you build the infrastructure to treat data as a strategic asset and automate capacity, you can finally shift focus to business enablement and risk management.”

Exhibit 14: Data sovereignty anxiety is driving infrastructure shifts

Two-panel exhibit. Left panel: horizontal bar chart showing level of concern about losing control over where data is stored or processed due to global trade or regulatory changes. Extremely concerned: 22%. Very concerned: 42%. Moderately concerned: 25%. Slightly concerned: 3%. Not at all concerned: 7%. Right panel: horizontal bar chart showing steps organizations are taking to protect data control and sovereignty. Increasing use of private cloud or in-house data centers: 53% (highlighted). Requiring service providers to keep data in specific countries or regions: 49%. Moving sensitive workloads onshore: 46%. Limiting outsourcing of data-intensive work: 33%. Automating compliance controls into workflows or platforms: 29%. No specific actions taken: 3%. Not sure: 0%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

As a recap, 53% are increasingly using private cloud or in-house data centers, 49% are turning to service providers to keep data in specific countries or regions, and 46% are moving sensitive workloads onshore entirely. The data sovereignty requirements are becoming non-negotiable, forcing vendors to redesign delivery architectures or risk losing business. The stakes are even higher when paired with cybersecurity concerns, given the growing pressure to secure regulated data across borders while maintaining resilience against rising threats.

Internal leadership drives sourcing strategy transformation

The shift extends to who is driving sourcing decisions. Internal strategy and finance teams are now the top source of guidance (48%), followed by analyst firms (42%) and peer networks. Independent sourcing advisors and traditional consultants are further down the list, while government guidance trails far behind (see Exhibit 15).

Exhibit 15: Internal leadership drives sourcing strategy as enterprises take control of their own resilience

Horizontal bar chart showing where organizations seek guidance when shaping sourcing and delivery model strategy. Internal leadership (C-suite, strategy, or finance teams): 48%. Analyst firms (e.g., HFS, Gartner, Everest, Forrester): 42%. Big 4, Accenture, or other peer competitors: 42%. Peer organizations and industry networks: 37%. Technology and service provider partners: 32%. Independent consultants or sourcing advisors: 27%. Industry events, media, or trend coverage: 20%. Government or policy organizations: 15%. Other: 0%. Sample: 402 US-based senior executives. Source: HFS Research in collaboration with KPMG, 2025.

Sample: 402 US-based senior executives
Source: HFS Research in collaboration with KPMG, 2025

The procurement function has moved from tactical execution to strategic design. Vendor diversification, geographic hedging, and embedded flexibility are now central to competitive advantage. The question is no longer “can we get this cheaper?” It’s “can we keep this running when everything else breaks?”

  • Uncertainty is the constant, so what’s the strategy?

The real question isn’t about how we survive this wave. It’s what we would build if we knew disruption wasn’t going away.

Enterprises that will lead the next decade aren’t waiting for stability to return. They’re the 22% using trade chaos to build automation capabilities, platform-based services, and adaptive sourcing strategies, while others hesitate.

What separates them isn’t just speed—it’s mindset and, to some extent, executive commitment and foresight. They’ve moved beyond treating volatility as an aberration and started designing systems that assume constant change. This strategic shift requires five fundamental changes:

    • Stop outsourcing resilience: Enterprises must own more of their delivery architecture—digitally, contractually, and operationally. Service models must become modular, not monolithic.
    • Move beyond reaction: Scenario planning isn’t a quarterly exercise—it’s a cultural muscle. The 22% that are actively planning for future disruption aren’t just reacting faster; they’re building institutional reflexes.
    • Rethink service consumption: Services-as-software isn’t just a vendor trend but a survival mechanism. Platforms offer control, telemetry, and configurability, which are essential in a world of shifting borders and compliance codes.
    • Center compliance in design, not in audit: Data sovereignty, tax jurisdiction, digital IP, and cloud locality aren’t legal clean-up jobs; they’e architectural inputs. Enterprises need multi-stakeholder playbooks that treat infrastructure and governance as one system.
    • Rewire procurement for power: The buying function has moved from tactical execution to strategic design. Vendor diversification, geographic hedging, and embedded flexibility now sit at the heart of competitive advantage.

What emerges from this is a very different enterprise mindset: agility not for its own sake but as a structural condition. The endgame isn’t stability—it’s fluidity.

The Bottom Line: Leaders of the next decade aren’t waiting for stability. They’re proactively architecting operating models that not only withstand volatility but can thrive because of it.

Today’s disruption isn’t seasonal—it’s structural. Enterprises poised to succeed aren’t chasing elusive stability; they’re engineering operating models that can flex, absorb, and evolve continuously. The objective isn’t achieving certainty—it’s mastering adaptability. Designing for turbulence, not control, is the only way forward.

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