Observed Signal · Mar 12, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Unlocking AI ROI: Smartcat's Blueprint for Global Enterprises
Smartcat published its flagship research report, The 2026 State of Global Enterprise Growth, examining how enterprise teams scale AI ROI across global content operations. The study surveyed enterprise leaders responsible for workforce enablement, brand growth and revenue, finding 98% of respondents reported a significant increase in content demand over the past year. Smartcat identifies a wide performance gap: teams with the highest AI ROI are nearly seven times more likely to have significantly faster localization workflows and tend to embed AI across connected workflows (creation, review, localization, maintenance). High‑ROI teams also adopt three operating transformations — unified workflow orchestration, structured AI training for process automation, and proactive governance integrated into workflows. The report includes a stage‑based AI maturity framework to help organizations prioritize investments in technology, training, and governance to improve AI ROI.
Vendor research offers practical operating-model insights for content localization and AI adoption, but it is not a major platform policy or industry‑shifting announcement.
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Key Takeaways & Evidence Grounding
- Smartcat released a research report titled The 2026 State of Global Enterprise Growth.
- 98% of surveyed enterprises reported a significant increase in content demand over the last year.
- Teams with the highest AI ROI are nearly seven times more likely to have achieved significantly faster localization workflows.
- High‑ROI teams embed AI in connected workflows across content creation, review, localization, and maintenance.
- The report proposes a stage‑based AI maturity framework to prioritize investments in technology, training, and governance.
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Enterprises Deploy AI Faster Than Governance, Smarsh Study
Smarsh released the 2026 Enterprise AI Trends Study (conducted by FTI Consulting) finding that 55% of enterprises are actively deploying AI while only 26% say governance is keeping pace. The report highlights limited visibility into unauthorized or "shadow AI" (only 30% report comprehensive detection and management capabilities) and frames communications data as a critical foundation for responsible AI, investigations, and business intelligence. The study identifies five trends — governance lagging adoption, communications data becoming strategic, interconnected systemic risk across AI agents/APIs/third-party apps, a shift toward proactive security and resiliency, and compliance evolving into a strategic function. It also reports enterprise investment priorities: 62% in AI/ML capabilities, 53% in data quality/enrichment, and 51% modernizing archives. Smarsh and FTI executives emphasize that scaling AI safely requires stronger data governance across connected ecosystems.
Where Enterprises Are Adopting AI
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Responsive Study: Execution, Not AI Adoption, Drives Results
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