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Recap: Key Takeaways from Canva's AI Vision Event I attended Canva's AI Vision event a couple of weeks ago. On the surface, it was a showcase of how fast generative AI has made content production. Underneath, almost every session arrived… The post AI vs H

Transcreation isn't just creative translation. It means understanding a whole campaign, its goal, its market, its competitors, then rebuilding the idea so it works naturally for a local audience, even when the final line looks nothing like the original. A

The prediction that AI is putting linguists out of work doesn't match what's actually happening. As businesses get more sophisticated with AI, the role of linguists is evolving alongside. One area that has become apparent is linguists' unique ability to…

Website localisation is no longer limited by how much content can be translated. AI can make an entire site multilingual quickly. The real challenge is deciding which pages need stronger human input to protect the brand, improve discoverability and conver

Multilingual product feed optimisation is no longer just a Google Shopping task. As AI shopping experiences begin to interpret structured product data, feeds are becoming a visibility channel in their own right. For global brands, that means the quality,

TL;DR 1) Use AI voiceover for speed, scale and versioning. Use human talent when nuance, trust, and performance hinge on micro-delivery. 2) Avoid "same-voice syndrome" by designing a sonic identity and owning a distinct voice library, not relying on defau

TL;DR 1) Cost savings are now table stakes. The bigger risk is governance failure as content volume and speed increase. 2) Centralisation is an operating model plus a platform that creates a single source of truth, standard workflows, and consistent… The

Global content adaptation is a paradox. On the surface, omnichannel campaigns launch simultaneously in twenty markets, speaking to customers in perfect local dialect. But take a closer look and the cracks of fragmented workflows, poor visibility are bared

LLMs are helpful, but a little lazy Many people assume AI models gather information, compare sources, and reach conclusions. They do not. They recognise familiar patterns and generate the wording most statistically likely to come next. A recent copyright

Adapting content from one language to another means choosing every term carefully, conveying the intended message of the source and making sure that the target will not carry a different meaning or, even worse, a negative one. This challenge is… The post