Regional Outlook: What Guide to Next 2026 Means for North America, Europe and LATAM Leaders

Guide to Next 2026 captures a common reality facing enterprise leaders: the big priorities are remarkably consistent, but the path to action is not. Across industries, executives are aligning around AI, modernization, customer experience, data strategy and sustainability. Yet the pressure points behind those priorities differ by region. Market maturity, regulatory requirements, customer expectations and operating models all shape where leaders move first, where they move cautiously and where they can create outsized advantage.

For multinational organizations, that raises a practical question: is one global transformation agenda enough? In most cases, the answer is no. A shared enterprise ambition still matters, but the investment thesis, sequencing and governance model often need to flex by region.

The global priorities are shared. The regional playbooks are not.

Publicis Sapient’s perspective on digital business transformation is holistic: organizations create value by elevating customer experiences, modernizing how they operate and unlocking value through technology and data. Guide to Next 2026 builds on that same premise, informed by research across more than 500 industry leaders and nearly 70 expert interviews. The implication for executives is clear: transformation cannot be treated as a collection of isolated programs. AI, platform modernization, data activation, experience design and sustainability must be connected.

What changes regionally is not the destination, but the emphasis.
That means a global roadmap should set the enterprise guardrails, while regional leaders shape the execution model.

North America: accelerate growth by modernizing the core

For many North American enterprises, the opportunity is less about proving the value of digital and more about capturing it faster. These organizations often have significant digital estates already in place, but they also carry fragmented platforms, technical debt and inconsistent customer and data foundations. In that environment, AI becomes most valuable when paired with modernization.

The strongest emphasis is likely to fall on three areas.

First, enterprise AI must move beyond experimentation. Publicis Sapient’s AI approach stresses platforms, orchestration, governance and real business workflows rather than disconnected pilots. For North American leaders, the question is not whether to invest in AI, but how to scale it with speed and control. That makes enterprise-ready platforms, standardized tooling and strong governance essential.

Second, modernization is a growth lever, not just a cost program. Modernization should reduce tech debt, increase adaptability and speed delivery. When legacy systems slow product launches, personalization or operational responsiveness, modernization directly affects revenue and customer relevance.

Third, customer experience remains a competitive battleground. Publicis Sapient’s experience work consistently points to customer obsession, personalization and connected journeys as differentiators. North American leaders are therefore likely to prioritize data-rich customer platforms, omnichannel orchestration and the operational capabilities required to turn insight into action.

In practice, North American organizations should pressure-test whether their AI strategy is too separate from their engineering roadmap, whether customer data is truly activation-ready and whether modernization investments are tied clearly enough to growth outcomes such as conversion, loyalty and customer lifetime value.

Europe: transform with trust, precision and regional complexity in mind

European leaders face the same transformation imperatives, but often through a more complex operating lens. Privacy expectations, regulatory scrutiny and cross-market variation mean that scaling digital capabilities requires more precision. In Europe, transformation success is frequently defined not only by speed, but by trustworthiness, compliance and the ability to deliver consistency across diverse markets.

This changes the emphasis in several ways.

AI investment is likely to be shaped by governance from the outset. Rather than treating governance as something added later, European organizations are more likely to embed it into AI design, deployment and operating models. That includes a stronger focus on explainability, risk management and enterprise controls.

Data strategy must account for privacy and fragmentation. Publicis Sapient’s platform and CDP perspective underscores that first-party data has become increasingly important as legislation changes and third-party tracking becomes less reliable. In Europe, that challenge is amplified. Leaders need data strategies that unify insight and activation while respecting regional privacy requirements and avoiding operational sprawl.

Customer experience must balance consistency with local relevance. Europe is not one market. Brands operating across the region must manage language, cultural expectations, channel differences and country-level complexity. That makes design systems, modular platforms and flexible operating models especially important. A single customer experience strategy may set standards, but execution often needs local nuance.

Sustainability is more likely to be treated as a strategic and operational requirement. Publicis Sapient has long positioned sustainability as central to business strategy, not adjacent to it. In Europe, leaders are especially likely to integrate sustainability into transformation decisions involving supply chains, transparency, digital products and customer trust.

For European executives, the key question is whether transformation programs are designed to scale across borders without creating excessive complexity. If not, the business risks ending up with fragmented stacks, uneven customer experiences and governance models that slow innovation instead of enabling it.

LATAM: build for resilience, scale and leapfrog advantage

LATAM leaders often operate in a different transformation context: one defined by uneven legacy environments, rapidly changing customer behavior and the need to create impact under real constraints. But constraints can be a catalyst. The region presents significant opportunity for organizations willing to build adaptable platforms, simplify operating models and invest where digital maturity can advance quickly.

AI in LATAM is likely to be judged by practicality and business value. Leaders may place less emphasis on abstract experimentation and more on targeted use cases that improve productivity, accelerate service, support decision-making or strengthen customer engagement. AI has the potential to create step-change gains when paired with the right operating model and a disciplined data foundation.

Modernization is about resilience as much as innovation. In LATAM, modernization can unlock speed, stability and scalability at the same time. This is particularly important for enterprises looking to reduce operational fragility, enable distributed teams and create a stronger base for future growth.

Customer experience can be a leapfrog opportunity. Publicis Sapient’s work repeatedly highlights the importance of connected experiences, design consistency and personalization. In LATAM, organizations can often create competitive differentiation by skipping incremental fixes and moving directly toward more unified, digital-first experience models.

Workforce and operating model modernization matter. Several Publicis Sapient perspectives emphasize the link between employee experience, customer experience and enterprise performance. In LATAM, leaders should not separate internal enablement from external growth. Better tools, clearer workflows and more agile delivery models can improve both customer outcomes and organizational resilience.

For LATAM leaders, the practical challenge is prioritization. The winners are unlikely to be the organizations trying to transform everything at once, but those that choose a few high-impact moves—often around platform consolidation, data readiness, digital experience consistency and AI-enabled productivity—and scale them deliberately.

One agenda, three different emphases

A multinational transformation strategy should create coherence across regions, but it should not force uniformity where it does not belong. The most effective model is a shared global backbone with regional interpretation.

That backbone should include:
Regional teams should then adapt the execution model:

The executive takeaway

Guide to Next 2026 should not be read as a single universal playbook. It is better understood as a shared set of enterprise priorities that manifest differently by region. Leaders who recognize those differences can invest more intelligently, sequence transformation more effectively and avoid the trap of imposing one operating model on very different markets.

The real strategic advantage comes from holding two truths at once: transformation must be enterprise-wide, and it must also be region-aware. Organizations that can do both will be better positioned to scale AI responsibly, modernize with purpose, deliver more relevant experiences, activate data more effectively and build sustainability into the way they grow.