Storyblok’s new survey of 200 senior IT and procurement professionals paints a broadly optimistic picture of corporate attitudes to artificial intelligence heading into 2026: 90% of respondents said their organisations plan to increase AI investment next year, with 57% expecting a “significant increase” and only 2% forecasting cuts. According to the original report, 91% of those surveyed believe AI will improve content management within their organisations, suggesting firms see immediate, practical use cases for generative tools inside CMS workflows. [1][2][3]
The survey also captures why budgets are rising: respondents reported tangible returns from current AI activity. Operational efficiency was the most-cited benefit (54%), followed by faster time to value (48%), enhanced employee productivity (43%) and streamlined decision-making (41%). Such gains help explain why some vendors are accelerating feature rollouts and why enterprises are treating AI as a strategic line item rather than an experimental add‑on. Industry reporting shows similar investment patterns across retail and customer‑experience tooling, where firms have committed substantial sums despite mixed short‑term impact on customer metrics. [1][2][4]
Yet enthusiasm sits alongside clear gaps in readiness. The study found only 23% of organisations have fully integrated Generative Engine Optimisation (GEO) strategies to adapt content for AI-driven discovery, while 41% were at either zero or early stages of GEO adoption. The report warns that without GEO, brands risk losing visibility as user search behaviour shifts toward answer engines and chat‑style interfaces , a dynamic several analysts expect to reconfigure traffic and marketing channels in the coming year. Storyblok is positioning its headless CMS and related guidance as a way to make structured content GEO-ready. [1][2][6]
Security, privacy and regulation loom large as constraints on that momentum. Sixty‑one percent of respondents cited data privacy and regulatory concerns as the biggest challenge to adopting or scaling AI solutions, with security risks (58%) and legacy system constraints (43%) following closely behind. The survey indicates procurement and IT leaders want stronger data governance and quality assurance (62%), better system integration (54%) and greater vendor transparency (42%) to make deployments sustainable. As one of the company’s founders put it, “Our research paints an overwhelmingly positive business view of AI adoption as we look ahead to 2026,” said Dominik Angerer, CEO and Co‑Founder of Storyblok. [1][2][3]
Those worries dovetail with a shifting regulatory landscape. The EU’s forthcoming AI Act , due to be phased in through 2026 and already shaping procurement decisions , will impose classifications, transparency requirements, data governance and human oversight obligations for higher‑risk systems, with enforceable penalties for non‑compliance. That framework is instructing some buyers to prioritise governance and vendor accountability ahead of pure feature velocity. According to a white paper on AI governance, compliance obligations and the prospect of penalties are becoming central to enterprise procurement conversations. [7]
The corporate and vendor response includes fresh capital and product investment. Storyblok itself has recently raised growth funding to accelerate an AI and automation agenda aimed at enterprise customers, and the company highlights its client roster and technical roadmap as proof points for enterprise readiness. At the same time, independent surveys of retail and CX buyers show heavy spending on AI tools , sometimes with only modest immediate uplift in experience metrics , underscoring that money alone does not guarantee durable outcomes. The company claims its platform can act as an “AI partner in success,” but the survey respondents’ emphasis on governance and integration shows buyers expect vendors to back that claim with demonstrable controls and interoperability. [5][1][4]
As 2026 approaches, the data paints a picture of conditional optimism: businesses are prepared to commit capital and broaden AI use inside content management, but adoption at scale will depend on closing gaps in GEO readiness, shoring up security and meeting tightening regulatory expectations. “Content management is one of the areas where there seems to be near‑complete consensus on the transformational impact of AI,” Dominik Angerer said, even as he cautioned that governance and compliance challenges may slow some programmes. The balance between rapid productisation and disciplined governance will likely determine whether current optimism translates into durable advantage. [1][3][7]
📌 Reference Map:
##Reference Map:
- [1] (CMSCritic) - Paragraph 1, Paragraph 2, Paragraph 3, Paragraph 4, Paragraph 6, Paragraph 7
- [2] (CMSCritic summary) - Paragraph 1, Paragraph 2, Paragraph 4
- [3] (Business Matters Magazine) - Paragraph 1, Paragraph 4, Paragraph 7
- [4] (FashionDive) - Paragraph 2, Paragraph 6
- [5] (PR Newswire) - Paragraph 6
- [6] (Storyblok GEO checklist) - Paragraph 3
- [7] (Storyblok white paper on AI / EU AI Act) - Paragraph 5, Paragraph 7
Source: Noah Wire Services