As a marketing consultant based in Hobart, Tasmania, I’ve always emphasized the importance of efficient content operations for driving real business results. The latest report from leading content management platform Canto, “The State of Digital Content 2026,” in partnership with Ascend2, provides a snapshot of where content teams stand today. Based on a survey of 434 content and creative professionals, it reveals how high-performing organizations are pulling ahead while others grapple with operational hurdles. Sure the report is design to boost Canto’s authority and credibility in this space, nevertheless it is worth scanning. Here’s a breakdown of the standout findings and what they mean for marketers looking to scale content effectively.

The content boom: budgets up, volume surging, AI leading the charge

Content production is accelerating at a pace that’s outstripping expectations, fueled by expanding channels and AI innovations:

• Rising budgets: Over 80% of organizations plan to increase content and creative budgets in the near future, up from 70% in 2024. Notably, 29% expect significant increases, a jump from 19% in 2023.
• Volume explosion: 82% of teams reported higher content output last year, with 27% seeing significant growth. AI is the primary driver, with 75% of professionals saying it has boosted volume—30% significantly.
• Evolving ROI metrics: Success is measured through a mix of engagement (40%), brand awareness (38%), conversions/lead gen (38%), and sales revenue (38%). ROI is improving, with 28% reporting significant gains (up from 19% last year).

Teams with mature workflows are reaping the rewards, being 3x more likely to see substantial ROI. This underscores the need for investments in AI, automation, and centralized systems to handle the surge without sacrificing quality.

Content operations: maturity matters, fragmentation hurts

Operational challenges persist, but top performers are addressing them head-on. Canto’s report highlights persistent pain points like keeping up with content demands (40%) and managing volume (36%), but also shows progress in tech adoption.

• Workflow maturity: Only 43% have advanced, standardized workflows, but these teams report 48% significant ROI increases compared to 0% for those with ad-hoc processes.
• Improvement tactics: 51% are using AI for creation, tagging, and organization; 41% are enhancing cross-team collaboration; and 36% are introducing automation to cut manual work.
• AI’s role in efficiency: Widespread AI users find maintaining brand consistency extremely easy (49% vs. 6-9% for non-users).

High-ROI teams prioritize automation (47%), templates (45%), and asset distribution (33%), proving that streamlining operations directly boosts returns.

Digital Asset Management: centralization is key to avoiding chaos

Fragmented asset storage, a persistent problem, remains a major drag, with most teams using multiple systems like cloud storage (62%) and DAM solutions (47%). The consequences are clear:

Consequence	Percentage
Employee frustration/burnout	44%
Wasted/misused budget	39%
Duplicated work	38%
Missed revenue	35%
Delayed launches	35%

Only 35% are very confident employees use up-to-date brand assets, meaning most perceive that colleagues in sales, product management, customer service and the broader marketing team are using dated, often inaccurate materials which exposes their brands to numerous risks.

In contrast, DAM users report smoother operations, and those unifying assets with product content see 4x higher ROI gains.

For product-focused teams, accuracy is critical: 88% struggle with consistency across channels, but centralized approaches reduce duplication and improve access.

Tech stack optimization: closing gaps for better scale

Content teams lose time on manual tasks, with 22% prioritizing AI automation and 21% better search/retrieval. Core capabilities like analytics (43%) and standardized workflows (41%) are established in many organizations, but only 24% have fully optimized stacks.

Teams with strong ROI excel in AI tools (59%), analytics (50%), and automated tagging (42%). As stacks mature, expect more focus on integration to eliminate silos.

AI throughout the lifecycle: from analysis to personalization

AI is embedded across operations, with top uses in performance analysis (41%), SEO optimization (40%), and tagging (39%). High-ROI teams apply it more broadly, especially in personalization (41%) and discovery (43%).

Looking ahead, teams want AI for streamlining reviews (38%), smart search (36%), and reuse recommendations (35%). Adoption is at 77%, with 81% confident in AI’s accuracy for tagging—higher among heavy users.

What this means for your marketing strategy

The report paints a clear picture: success in 2026 hinges on operational maturity. Fragmented systems fuel burnout, waste and magnify risks, while AI-driven, centralized approaches unlock speed, consistency, and ROI. If your team is stuck in manual workflows or siloed assets, now’s the time to audit and optimize.

I help businesses in Tasmania and beyond implement these strategies— from AI integration to DAM setups. If you’re ready to scale your content operations, let’s talk. Download the full Canto report here to dive deeper. Let’s turn these insights into action for your business.