Chapter 4
Adding headcount and vendors isn’t the solution
Global enterprises typically address translation challenges by adding more resources, but this approach becomes a trap.
A linear process can't unlock scale, so costs grow exponentially with translation demand. Complexity increases, errors multiply, and additional resources deliver diminishing returns.
Adding handoffs and dependencies won't solve the problem, but transforming the model with AI will. That's why 71% of leaders say workflow automation with AI is a priority for 2026.
Workflow automation with AI is a priority for 71% of global leaders in 2026
Source: DeepL 2025 survey of global business executives
Leaders prioritizing workflow automation with AI in 2026
UK: 0%
DE: 0%
US: 0%
FR: 0%
JP: 0%
Source: DeepL 2025 survey of global business executives
“It’s not just thinking about language. It’s thinking about the processes, the structure, and the culture. I think AI is really driving fluency on a structural level. Organizations need to start rethinking and maybe posing the question: do we have the right structure to really deliver the promises that AI brings?”
Harry Witzthum, Chief of Digital Transformation and AI, Caritas
Of all the workflows leaders could invest in automation, none touch as many areas of operations as translation, and none deliver a more immediate impact on cost and risk.
What’s more, the essential elements for transforming translation workflows with AI are already in place. Leaders shared the areas where they have the greatest confidence allowing AI to make decisions without human oversight.
Where leaders trust AI to take the lead
0%
name language and multilingual communications
0%
point to routine operations like compliance checks
0%
cite operational efficiency and process optimization
Source: DeepL 2025 survey of global business executives
