January 2026 Summaries

In 2026, despite widespread adoption of AI among B2B SaaS content teams, content production and outsourcing practices have not significantly changed, according to research by Benchmarker in partnership with Contentful. The study, which surveyed 321 marketing leaders, found that AI has not drastically increased content output, with most teams maintaining similar production levels as before, constrained by factors like idea generation and quality control. Outsourcing remains common, especially among larger companies, with nearly half of content being produced externally, as AI still can't fully replace human-led tasks such as editing and distribution. While AI is heavily used in content ideation and writing, its integration into broader tech stacks is underutilized, with high-performing teams distinguished by their consistent activation of AI features across tools. The research also highlights a shift in content strategy, with blog posts losing their impact as standalone pieces, and a more balanced distribution of content efforts across different customer journey stages. Despite technological advancements, successful content teams focus on quality, strategic distribution, and comprehensive performance measurement, treating content as a crucial component of their operating system rather than isolated initiatives.

Contentful has made significant updates to its identity and access management (IAM) system, addressing security gaps while maintaining workflow efficiency for enterprise content operations. The improvements include stricter controls on single sign-on (SSO) exceptions, enhanced visibility into security posture through command-line interface tools, more effective governance of personal access tokens, and the introduction of more granular access controls at the environment level. These changes are designed to help organizations better align permissions with their current security needs as they scale, ensuring that access remains tightly governed and easily auditable. By focusing on IAM fundamentals such as authentication, authorization, and token management, Contentful aims to offer a secure yet flexible platform that adapts to the evolving needs of large enterprises without hindering their operational speed.

Contentful has launched Automations, a feature designed to streamline workflows for marketing teams by automating processes across campaigns and digital experiences. This tool allows teams to set rules that dictate the progression of content, reducing reliance on manual follow-ups and coordination. Automations help address common issues in marketing workflows, such as delays and inconsistency due to inefficient handoffs and manual processes. Built into the Contentful platform, Automations integrate existing tools and capabilities, allowing both non-technical users to create visual workflows and developers to extend functionalities using APIs. It ensures that necessary reviews and approvals are not bypassed, maintaining accountability while increasing efficiency. Automations are particularly useful in scenarios like ensuring legal compliance, scaling localization, and keeping SEO synchronized with content changes, offering a structured approach that enhances speed without sacrificing oversight. As teams expand their use of AI and digital channels, the ability to define and automate workflows becomes increasingly important for maintaining control and trust while accelerating operations.

As the year 2026 approaches, Contentful leaders provide insights into the evolving landscape of marketing, AI, and digital experiences, emphasizing the significant impact of decisions made in these areas. They highlight the emergence of a new generation of "Full-Stack Marketers" who integrate creativity with technical expertise to harness AI for competitive advantage. Predictions include the rise of "Content Collapse" due to excessive low-value content, the transformation of experiences into data for enhanced personalization, and the shift towards targeting over sheer content volume as AI reduces content creation costs. Additionally, the need for evidence-based creativity and the evolution of employment roles in response to AI advancements are emphasized. The overarching message is that success in 2026 will depend on clarity, intentional technology adoption, and the integration of human judgment with automation, setting a new standard for meaningful customer engagement.