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Your Sitecore Content Team Is About to Lose Access to the Platform's Most Powerful Features

Sitecore is retiring JSS and rebuilding its entire platform around AI-powered content operations. The Content SDK migration is not a developer housekeeping task. It is the gate between your content team and the next generation of authoring, personalization, and experimentation tools.

March 21, 202610 min read
Your Sitecore Content Team Is About to Lose Access to the Platform's Most Powerful Features

If your organization runs Sitecore XM Cloud, your development team has probably mentioned something about a JSS deprecation and a Content SDK migration. It likely sounded like a technical dependency update, the kind of thing that lives on a sprint backlog and surfaces briefly in a status meeting before disappearing back into the engineering queue.

It is not that. This migration determines whether your content team, your marketers, your personalization strategists, and your brand managers get access to the capabilities Sitecore is building for the next five years, or whether they stay locked into a toolset that is no longer receiving investment. The JSS deprecation is a developer problem. The consequences of ignoring it are a marketing leadership problem.

Roughly 80 percent of XM Cloud implementations are still running JSS. JSS 22.x enters end-of-life in June 2026. After that date, Sitecore stops shipping security patches, bug fixes, and compatibility updates. But the support deadline is not the real issue. The real issue is that Sitecore has built an entirely new layer of AI-powered content tools, and none of them work unless your front-end runs on the Content SDK.

~80%

of XM Cloud sites currently locked out of SitecoreAI capabilities

Approximately 80 percent of XM Cloud sites are still running JSS. These implementations cannot access SitecoreAI features including Agentic Studio, AI copilots, native experimentation, or the new Pages editing experience until they migrate to the Content SDK.

A Better Editing Experience for Your Content Team

The most immediate change your content authors will notice is a new editing environment. The Content SDK moves all visual editing to XM Cloud Pages, replacing the legacy Experience Editor entirely. This is not a cosmetic refresh. It is a fundamentally different tool that unifies content management and page layout into a single interface.

Experience Editor required content authors to switch between two separate applications: the Content Editor for managing content trees and the Experience Editor for visual page layout. Pages eliminates that split. Your team works in one place, with inline editing, drag-and-drop component management, and real-time preview that accurately reflects what visitors will see. The interface is faster, more responsive, and built on modern web technology rather than the legacy architecture that made Experience Editor notoriously slow on complex pages.

Pages also introduces capabilities that Experience Editor never had. A structural visualization feature called Layers lets editors see and interact with the component hierarchy of any page, making it easy to understand how a page is composed and where content lives. Floating editing panels provide configurable toolbars for text fields, including metadata. Device preview lets authors check how content renders across desktop, tablet, and mobile without leaving the editor.

For teams managing content at scale, the collaboration improvements matter most. Pages supports parallel versions, allowing multiple editors to work on the same page simultaneously without overwriting each other's changes. Each editor's modifications remain isolated until they are ready to be merged, with full version history tracking changes, comments, and annotations across contributors. This is the kind of workflow that content teams have come to expect from tools like Figma and Google Docs, now applied to CMS editing.

If your content authors are still using Experience Editor, that workflow breaks entirely when you migrate to the Content SDK. But the replacement is a significant upgrade. Plan for retraining, and your team will be working faster within weeks.

SitecoreAI and Agentic Studio: AI That Knows Your Brand

The Content SDK migration is the technical prerequisite for accessing SitecoreAI, the AI layer Sitecore has embedded across its entire platform. This is not a chatbot bolted onto the sidebar. It is a system of AI copilots and autonomous agents designed specifically for content operations, trained on your brand guidelines, and integrated directly into the tools your team already uses.

The foundation is brand-aware AI. Your team uploads brand documents (voice and tone guidelines, visual identity standards, messaging frameworks) as a Brand Kit. Every piece of AI-generated content is then anchored to those guidelines using retrieval-augmented generation. The AI does not guess at your brand voice. It references your actual documentation. Your data is never used to train the underlying model.

On top of that foundation, Sitecore provides three specialized copilots. The Brand Copilot handles idea generation and content briefs. The Content Copilot handles writing, refining, translating, and optimizing content directly within the editor. The Experience Copilot improves search performance and generates Q&A content. These copilots work inside the editing environment, not in a separate application, so content creation and AI assistance happen in the same workflow.

Agentic Studio: Autonomous AI for Content Operations

Agentic Studio is where the platform gets genuinely transformative. It is a workspace where your content strategists collaborate with AI agents that handle multi-step, goal-oriented tasks autonomously. Sitecore ships more than 20 pre-built agents covering campaign planning, content generation, SEO and AEO research, translation, summarization, account enrichment, and structured content extraction. No coding is required to configure or deploy them.

The workspace is organized around four building blocks. Agents are the AI workers themselves, each designed for a specific function. Flows let your team chain multiple agents into end-to-end workflows on a visual canvas. A research agent feeds its output to a brief-generation agent, which passes to a content-creation agent, with each step building on the previous one. Spaces are shared workspaces where teams manage active and completed agent work, grouped by campaign or project. Signals surface AI-generated market intelligence, linking each insight to its source for traceability.

The practical implication: a content strategist who used to spend a full day researching competitors, drafting a campaign brief, generating initial copy for three channels, and translating it into two languages can orchestrate that entire workflow through Agentic Studio in a fraction of the time, with brand-consistent output at every step.

0+

pre-built AI agents available in Agentic Studio at launch

SitecoreAI ships with more than 20 pre-built AI agents for content operations, with custom agent creation available to any team. These agents handle campaign planning, content generation, SEO research, translation, and more, all within a collaborative workspace.

Personalization and Experimentation Without Developer Dependencies

The Content SDK makes personalization a first-class capability at the platform level. In the JSS model, implementing personalization typically required developer involvement to wire up variant logic, configure audience rules, and integrate with Sitecore Personalize. The Content SDK changes that equation. Component-level A/B testing and audience-targeted content variants are built into the SDK, configurable directly from the Pages editing interface without custom development.

For marketing leaders, this means your team can set up an experiment, allocate traffic between variants, and analyze results without filing a development ticket. You can deploy different hero banners to different audience segments, test call-to-action copy at the component level, and let the platform automatically serve the winning variant, all from within the same interface where you edit content.

Sitecore Personalize, powered by the Customer Data Platform, provides two statistical engines: a classic model for standard A/B testing with statistical significance, and an optimized model that uses multi-armed bandit algorithms to automatically shift traffic toward winning variants in real time. The platform supports web experiments (marketer-friendly, no code), interactive experiments (server-side, for more complex scenarios), and triggered experiments for email, SMS, and push channels.

The CDP layer is also evolving. Sitecore now delivers generative insights with AI-driven recommendations to optimize campaigns, and Personalize automates post-experiment actions for faster decisioning. The direction is clear: reduce the manual analysis burden on marketing teams and let the platform surface what is working, why, and what to do next.

Sitecore recommends a crawl-walk-run maturity model for experimentation. Start with simple A/B tests on high-traffic components. Measure rigorously. Then scale to multi-channel experiments with sophisticated audience targeting. The platform supports the full spectrum, but the wins compound when you build the discipline first.

What Your Team Cannot Access on JSS

This is the part that should concern marketing leadership most directly. Every capability described above requires the Content SDK. JSS applications can still render content and deliver pages. But they cannot access any of the following:

  • SitecoreAI copilots for brand-aware content generation, translation, and optimization
  • Agentic Studio for autonomous, multi-step content workflows
  • XM Cloud Pages with inline editing, parallel versions, and real-time collaboration
  • Component-level A/B testing and personalization configured directly in the editor
  • AI-powered Design Studio for visual component creation
  • Generative insights and automated post-experiment decisioning from the CDP
  • Content extraction, media metadata generation, and AI-assisted translation

This is not a theoretical gap. It is a widening one. Every quarter that your implementation stays on JSS is a quarter where your content team falls further behind what the platform now offers. The June 2026 deadline is the hard cutoff for security support, but the practical divergence in content operations capability is already here. Organizations that delay migration are not just accepting technical risk. They are keeping their content teams on last generation's tools while the platform moves forward without them.

What This Means for Your Content Strategy

Sitecore is collapsing what used to be separate tools into a single platform where content creation, AI assistance, personalization, and experimentation all happen in one place. The standalone CDP and Personalize products are being integrated into the broader SitecoreAI platform with unified data. The direction is full convergence: one platform, one data model, one intelligence layer.

For organizations running content operations at scale, this convergence creates a genuine competitive advantage, but only if you can access it. A content team using Agentic Studio to orchestrate campaign creation, Pages to collaborate on content in real time, and built-in experimentation to optimize continuously is operating at a fundamentally different speed than a team using Experience Editor and filing developer tickets for every personalization change.

The migration itself is a development effort. Your engineering team or implementation partner handles the technical work of replacing JSS packages, updating component registration, refactoring data fetching patterns, and validating the authoring experience. The scope varies based on how customized your current implementation is. A standard JSS application may migrate in a few sprints. A heavily customized one could take a quarter.

The Questions to Ask Your Team This Week

If you are a CMO, VP of Marketing, or content operations leader at an organization running Sitecore XM Cloud, here is what you need to find out:

  • Are we on JSS or the Content SDK? If your development team has not explicitly told you they have migrated, assume you are still on JSS.
  • What is our migration timeline? If there is no timeline, that is the problem. June 2026 is three months away.
  • Are our content authors still using Experience Editor? If so, they need to transition to Pages before or during the SDK migration. Plan for retraining.
  • What SitecoreAI features are we missing? Ask your implementation partner to map the specific capabilities you are forgoing by staying on JSS.
  • What does our experimentation roadmap look like? If the answer involves developer tickets for every test, the Content SDK changes that equation entirely.

The organizations that move proactively on this migration will have their content teams operating with AI copilots, autonomous agents, real-time collaboration, and self-service experimentation by Q3. The organizations that wait will still be filing tickets and editing in Experience Editor while the platform, and their competitors, move on.

This is not a technical migration that happens to affect marketing. It is a content operations transformation that requires a technical migration to unlock. The difference in framing matters, because it determines who owns the urgency. Reach out to discuss your implementation and we will help you assess where you stand, build the migration plan, and get your content team onto the tools Sitecore is building for the future.

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Brett Berchtold

Written by

Brett Berchtold

Founder of Berchtold and two-time Sitecore MVP, Digital Strategy. Working at the intersection of marketing and technology since 2003, Brett works with B2B and B2C marketing leaders on SEO, content strategy, and martech activation. More about Brett →

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