Considerations for the launch of AI solutions in new markets
AI-driven solutions are transforming industries worldwide, presenting opportunities for faster data analysis, boosted productivity and improved decision-making. Now, the advent of agentic AI is offering autonomous agents that can analyse vast swathes of data and make accurate decisions with minimal human supervision.
But launching an AI-powered product in a new territory can come with challenges. For example, businesses may need to navigate different regulatory landscapes, including compliance with local data laws and evolving governance frameworks. Additionally, cultural nuances and user expectations around AI may differ, alongside concerns around data usage, reliability, transparency and potential job displacement. It’s a venture that requires careful consideration.
The challenge of localisation goes beyond language
When expanding into new territories, businesses often face a range of unfamiliar regulatory, cultural and operational factors. For AI in particular, these factors are amplified by the pace of technological change and varying levels of maturity in local regulatory frameworks.
At least 69 countries have proposed over 1000 AI-related policy initiatives and legal frameworks around the world, with the global picture continuing to evolve. For example, the UK takes a principles-based and pro-innovation approach to AI regulation. As opposed to one central AI regulator, sector-specific regulators are expected to apply the principles of safety, security and robustness, appropriate transparency, fairness, accountability and contestability to their domains.
Beyond the regulatory considerations, businesses must also appreciate the region-specific concerns about the introduction of AI. In some cases, its use could be welcomed enthusiastically. In others, it might trigger concern around data usage, trust or job displacement. For example, 39% of businesses in the United States have little to no confidence that companies will develop and use AI in a responsible manner, according to stats from the Pew Research Center. Therefore, assumptions that hold true in one country may fall flat, or spark backlash, in another.
Why local expertise makes the difference
This is where local knowledge becomes critical. Local experts can offer a deeper understanding of the environment that a B2B tech brand wishes to enter. They know the rules, the media landscape and the messages that will resonate most with people on the ground.
From a regulatory standpoint, these experts can help businesses navigate compliance with existing laws, while keeping an eye on future developments. They’re also well-placed to advise on how best to talk about AI: what to emphasise, what to clarify and how to build trust. For example, messaging might focus on how a solution aligns with local policies and guidelines, offering reassurance to cautious buyers. It might highlight transparency features or human oversight to ease fears around automation, which can make a big difference in how a product is perceived.
Beyond compliance and customer concerns, there’s also the matter of visibility. A successful product launch needs the right attention from the right voices, whether it’s media, analysts or industry influencers.
Local experts, supported by a lead agency, can help identify key outlets, manage outreach and suggest the most effective formats and narratives for different audiences. They can also make sure performance reporting is consistent across markets, enabling better comparison and tracking of success.
Global opportunities don’t come with a universal playbook
AI will continue to open doors for innovation and business growth, particularly as it grows in sophistication. But global opportunities don’t come with a universal playbook. Whether the strategy is to enter a neighbouring market or launch in a region with completely different expectations, success depends on working with people who know the landscape.
Launching an AI-driven product in a new market? Talk to us today