Digital Transformation in 2026: 3 Key Decisions to Make This Year

Last year, many organizations took a capability-first mindset by deploying AI, platforms, and tools simply because they were available and technically feasible. Unfortunately, this often resulted in solutions in search of a problem: initiatives that looked good on paper but failed to create any real value. 

In our experience, business impact doesn’t come from capability alone. It takes a need-focused mindset to ensure transformation initiatives are tied to business choices: Where are the opportunities for the biggest impact? What outcomes matter most? What decisions do we need to make to achieve these outcomes? 



Capabilities matter, but only in how they enable measurable results. Leaders who roll out initiatives based on true business needs in 2026 will reap the rewards, but those who take a tech-first approach will struggle to see the value of their efforts. 

Questions to Ask Yourself and Your Team

1. Which of our current initiatives would we still fund if the enabling technology disappeared tomorrow?
   
   

2. Where are we mistaking momentum for impact?
   
   

3. What business outcomes are we explicitly choosing to pursue this year—and why? Which outcomes are we choosing not to pursue?

Synthetic customers built from well-researched human data are useful for accelerating exploration, testing ideas, and filling gaps when real customers aren't available. But savvy leaders understand when—and when not—to use these tools.

The fact is, designing experiences and business models that deliver engagement and growth requires engaging with real humans. Only real people exhibit the emotional nuance, contextual detail, and unpredictable behaviors that reflect authentic customer needs.

People, through their actions, show us what matters most to customers, reveal areas of friction, and demonstrate how trust is earned or broken. Synthetic models simply can't compete. For decisions that carry real impact, or any innovation that enters new or sensitive territory, human research is irreplaceable. It's always a good bet to focus on solving problems for actual people rather than simulations.

Questions to Ask Yourself and Your Team

1. Where are we using synthetic customers to replace human insight rather than to extend it—and what risks do we accept by doing so?
   
   

2. Which decisions in our organization are “reversible experiments” versus “irreversible commitments”?
   
   

3. How do we ensure our synthetic customers stay anchored to human reality?

Automation and AI can deliver efficiency gains and scale when applied to the right problems. But if these tools aren't used thoughtfully, they erode value by flattening experiences and eliminating human judgment and empathy—the precise qualities that underpin great businesses.

On the other hand, having talented people work on low-value tasks that could be handled by tech tools is a waste of time and resources. So how can companies bridge the gap?

In 2026 leaders should move beyond “AI-first” or “human-first” thinking and focus on designing intentional human–technology systems. This means automating where it makes sense while ensuring humans handle work that involves discernment, creativity, and accountability, and orchestrating nuanced handoffs between the two.

This is more than an operating model—it’s a blueprint for success. Getting the balance right will deliver both efficiency and experience gains; getting it wrong leads to margin pressure, missed opportunities, and customer backlash.

Questions to Ask Yourself and Your Team

1. Where are we optimizing for efficiency at the expense of judgment, empathy, or accountability?
   
   

2. Which human roles are we under-leveraging by asking people to do work machines should handle?
   
   

3. What handoffs between humans and technology are currently invisible—but most likely to break?