What I See Happening to Digital Experience in 2026 And Beyond

Most prediction posts happen in December of the previous year or in January, before anyone has actually seen what a new year will bring. By February or March, a few things start to become clear, and that’s why I like to make my predictions then.

In my time running Oshyn for over two decades, I’ve watched the web go from static brochures to content management systems to digital experience platforms to whatever we're about to call the next thing.

Here are my predictions based on what I’ve observed so far and where I see the digital experience space heading.

Key Takeaways

• AI will compress the professional services industry significantly, but the firms that survive will likely earn more than they do today because the bottleneck shifts from execution capacity to judgment capacity, and judgment has always been scarcer and more valuable.

• The next evolution of digital experience is not a better CMS or a smarter personalization engine. It is a platform that delivers a unique experience to each visitor in real time, tailored to who they are and what they need at that moment.

• Oshyn is already building for this shift through Agentic Development, UX for AI, and AEO/GEO services, helping organizations structure their content, delivery, and customer journeys for a world where AI agents are part of the buying process.

1. The Consulting Firms that Survive Will Be Worth Significantly More

AI is going to dramatically reshape professional services. We’re already seeing this play out across the wider tech industry as layoffs increase and companies consider how to do more with less headcount. Offshore development, particularly across time zones, will get hit the hardest, but onshore development will as well, and the industry will contract, leaving the most brilliant and creative to do the "work" of ideating and organizing, monitoring and approving output.

The people and companies who make it through will likely earn significantly more than they do today. Perhaps double, within a few years, because the bottleneck shifts from execution capacity to judgment capacity, and judgment has always been scarcer and more valuable.

Client organizations will try to bring this talent in-house, but these organizations don't move fast enough and can't pay what specialized consulting firms can. What will likely change is how consulting companies charge. Hourly rates tied to headcount stop making sense when a small team can do in hours what used to take months, so the model shifts toward fixed-price engagements and value-based pricing, where companies pay for outcomes and not inputs.

This is why we're launching Agentic Development. We built this delivery model on the premise that our developers' most valuable contributions are judgment and orchestration, not line-by-line code generation. Our teams use AI agents to handle more of the build execution, enabling us to deliver faster and more efficiently without compromising quality.

2. DXP Pricing Comes Down As Switching Gets Easier

For years, enterprise organizations have stayed on platforms they'd outgrown, partly because the cost and complexity of moving was prohibitive. As AI continues to reduce the friction of migration by handling tasks such as generating mappings, translating content models, and automating redirects, the switching cost decreases.

The major DXPs will adapt, but expect more pressure on licensing fees and more flexibility in how enterprise agreements are structured over the next two to three years.

3. The 'Generative Experience Platform' Emerges

The current model for digital experience involves you building a site, defining templates and components, and configuring rules for how content is served to different audience segments. In most implementations, personalization is segmented, so you're serving a variation rather than an individual experience.

What's coming is something fundamentally different. A platform that knows everything there is to know about your business and your customers, and assembles an experience from scratch for each visitor, in real time, based on who they are and what they need at that moment.

Perhaps for a small company, that means you feed this "GXP" all you can about the business and its customers, and it now assembles a general approach to serving customers. You then go to the website, and it morphs to your needs. It's hard to know what this will look like. Initially, it could look like a traditional website, but as UX patterns evolve, it may change drastically, perhaps becoming significantly more personalized. It might even be a voice interface, a video assistant, or something we don't have a name for yet.

Here's what this could look like in practice when a visitor arrives at Oshyn's site.

Agent: You've come to Oshyn. How may I help you?"

You: "I'm wondering if you guys work with Contentstack".

Agent: "Well, yes we do.” It then starts providing information verbally while showing case studies and other stats on everything we know about it.

Agent: “Are you already on Contentstack or are you considering investing in it for your company? Do you care to share the specifics of your need? What company are you with, by the way?"

It then continues to adapt based on your responses. The technology to build a rough version of this exists today, but what's still missing is the performance.

We're not waiting for that future to arrive before helping clients prepare for it. We've also launched a service called UX for AI. This is a UX design offering for organizations planning a website redesign who want to build for how LLMs read and surface their site, not just how human visitors experience it.

4. LLM Analytics Will Become a Standard Marketing Metric

New analytics will enter the marketing world, helping us understand where we are in our ability to reach customers via LLMs and their agents. This is something Oshyn is working on right now, and many have this, but there isn't a "standard" yet.

The organizations that get ahead of it now and that start structuring their content for AI retrieval, not just for traditional search, will have a meaningful advantage when the standard arrives, and everyone else starts paying attention.

Our AEO and GEO services help organizations do exactly this. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) address how your content performs in AI-generated responses, not just in traditional search rankings.

5. The Customer Journey Will Include AI Agents

For years, the customer journey has been built around human behavior. Someone visits a site, reads content, fills out a form, and then talks to a sales rep. That model is still largely intact, but it's starting to change.

Customer journeys now shift to include customer agents and LLMs, giving marketers better control and insights into how effective their experience is in ensuring that, as customers shift their behavior, they reorganize their touchpoints appropriately. Again, the combination of our UX for AI and AEO/GEO services can help businesses navigate this period.

It may be early days for some of these capabilities, but the organizations paying attention now will be significantly better positioned as agent-based customer behavior becomes mainstream.

We’re already seeing these factors influence the decisions that clients are making and how they’re considering their digital experiences today. If you want to ensure you can capitalize on these coming changes, contact us today for assistance.