The Localization Landscape in 2025

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n 2024, the localization industry shifted gears on artificial intelligence (AI), starting out with a degree of concern and progressing to seeing a huge opportunity. We saw a lot of experimentation and early adoption, with many proof points demonstrating that there is a clear role for large language models (LLMs) in the enterprise.

In our industry, we understand as well as anybody that LLMs and AI in general are phenomenally powerful tools that can solve a broad spectrum of business problems. They apply to an exciting range of new use cases that neural and deterministic models cannot address accurately and where humans are simply too expensive at scale.

In 2025, we expect the power and sophistication of LLMs to increase rapidly as latency and cost decrease. More real-time applications, such as live customer interactions and hyper-personalized marketing campaigns, can be brought to life.

However, AI is not a silver bullet, and while the foundational models are incredibly powerful, they are ultimately highly creative and probabilistic in their output. Enterprises should apply them carefully. These models need to be used as part of a solution, rather than as the whole solution.

Outputs from these models require careful tuning to ensure accuracy and relevance. Incorporating language assets can significantly enhance their performance. At Phrase, we are strong believers that language assets will remain essential for fine-tuning model outputs well into the future. The addition of guardrails around these models will ensure that their outputs align with brand strategy and minimize the potential risks that they can introduce.

An “Ecosystem” Approach

Enterprises need an ecosystem of technology and service partners to tap into the value of AI-based tools. At Phrase, we believe that a well-integrated ecosystem in which software, services, and partners work seamlessly together is essential.

This approach enables businesses to be adaptable, which is especially important as technologies and markets move faster each year. Integrating diverse technologies, including competitive systems, creates solutions that meet business needs and enhance efficiency and agility.

Phrase strongly believes in collaborating with technology innovators and industry specialists. Through shared expertise and co-development, we unlock new growth opportunities for our customers, partners, and ourselves.

Scaling Personalization With Greater Control

Personalization has long been a priority for global enterprises, but achieving it at scale has been cost-prohibitive and technically demanding. AI is changing that by enabling “multi-dimensional adaptation,” which involves tailoring content by language and demographics such as age, gender, interests, and personal preferences. For example, a marketing campaign targeting 20-year-olds in Italy might use a different tone, imagery, and messaging than one aimed at their counterparts in the United States. AI can automate these adaptations, saving time and resources. This is AI-driven transcreation, which can be enhanced by humans, but is affordable at a scale humans cannot match.

However, scaling personalization isn’t just about creating more content. It’s about adapting content with consistency and precision. Businesses need control over content adaptation to ensure brand alignment while resonating with specific audience segments.

The Phrase Platform excels here by integrating machine translation (MT) with linguistic assets such as translation memories, glossaries, and pre-approved content libraries. Advanced quality assessment technologies ensure that machine-translated content is both accurate and contextually aligned with brand guidelines, enabling scalable localization without sacrificing quality.

Maximizing Customer Engagement With Hyperautomation

Delivering context-aware customer experiences is increasingly critical as customer expectations continue to rise. Hyperautomation integrates customer insights with operational data, enabling real-time, multilingual, brand-aligned personalization through AI.

For example, two customers interested in the same product might receive tailored recommendations based on browsing history and past interactions. One could be guided toward a premium brand they frequently explore, while the other might see a budget-friendly alternative better aligned with their purchasing behavior.

Enterprises can also tailor communications using internal data, such as stock levels or promotions, to enable dynamic pricing or target specific product lines. External factors, such as current affairs and recent events that might have an impact on the tone with which the company chooses to communicate, could also be incorporated.

In localization, hyperautomation streamlines multilingual content management and personalizes interactions across markets. AI-powered translated and automated content workflows enable real-time adaptation of product descriptions, marketing campaigns, and customer service responses. This reduces manual effort while ensuring culturally relevant, language-specific experiences that resonate globally.

While many enterprises are still in the early stages of AI-driven implementation, progress is rapidly accelerating. Early adopters are already demonstrating the transformative potential of real-time localization. By combining AI with integrated tech ecosystems, they are crafting personalized experiences that drive engagement and loyalty. For these trailblazers, localization is no longer a back-office function — it has become a strategic growth driver.

Localization “Shifts Left” and Becomes More Strategic

For too long, localization has been seen as a cost center rather than a growth enabler. In 2025, that perception must change. Localization is the front line where AI, innovation, and business value converge. Companies around the world are trying to figure out where AI can generate business value for them. Alongside customer support and software engineering, localization should be recognized as a key business opportunity. However, where AI drives cost efficiencies and productivity gains in other areas, in localization, AI can significantly drive top-line revenue, customer purchase intent, customer loyalty, and competitive advantage.

By adopting AI and LLMs and shifting their focus “left” into content production pipelines, localization teams can transform into key enablers of business growth and operational efficiency. They can deliver personalized customer engagement, accelerate time to market, and maintain brand consistency — all while driving measurable business outcomes.

Localization must shift from a reactive process — translating content after creation — to a proactive one that is integrated into content generation from the start, whether for marketing campaigns, technical documentation, legal content, or real-time customer support chats.

At Phrase, we are committed to helping enterprises make this shift. Our platform streamlines localization workflows while delivering insights that demonstrate return on investment.

Looking Ahead

In 2025, the localization industry faces a pivotal opportunity. Advances in AI and LLMs will reshape the landscape, but their true potential lies in seamless integration within broader ecosystems. Companies that embrace this approach will be better equipped to scale personalization, navigate industry shifts, and transform localization into a strategic growth driver.

At Phrase, we enable organizations to lead this transformation. Our cutting-edge, AI-powered translation technology platform — combined with a committed ecosystem approach — equips enterprises to adapt faster, personalize at scale, and harness localization as a key engine for business growth.

The question is no longer whether to adopt AI, but how businesses can harness its full potential within a connected ecosystem — and adapt quickly to gain a competitive edge. The choices made today will determine tomorrow’s leaders in global markets.