Yaakov Simon, Documentation Manager at Cato Networks, offers a compelling view on the evolution of technical writing in the AI era. With 18 years of experience, Simon emphasizes the shift from basic "how-to" documentation to more sophisticated, tailored content. "When I started, the how-to was it," he reflects, noting how documentation once primarily served to standardize and simplify. Today, the focus increasingly lands on creating high-value, audience-specific pieces. This shift becomes particularly relevant as Simon's team at Cato Networks has been producing content aimed at C-level buyers for the past year, a move reflecting the changing demands and expectations in documentation.

Simon draws an intriguing parallel between different types of documentation and iconic vehicles, describing some as "Model T" documents — standardized, functional, and necessary — while others are "Ferraris," crafted meticulously for a niche audience. The latter may not garner widespread attention but are indispensable for those they serve, underscoring the need for documentation that resonates deeply with its target demographic. This viewpoint highlights the evolving role of technical writers, who must transcend traditional boundaries to thrive in an AI-driven landscape. As Simon points out, the tech writers who excel will not be the ones "who write the cleanest how-to," but those who can navigate the complex needs of their audience with agility and insight.

Furthermore, Simon speaks to the challenges engineers face in understanding customer usage of features. This gap presents an opportunity for writers to bridge understanding, ensuring that product documentation not only instructs but also informs strategic decision-making. Simon's metaphorical treatment of "translation memory" as "gold bars" underscores the value of nuanced language resources in maintaining both accuracy and efficiency in multilingual documentation. His insights, shared during a conversation with Stefan Huyghe on The Agile Localization Podcast, are particularly pertinent as organizations strive to align their documentation strategies with advanced localization practices.

Overall, Simon's perspective offers a roadmap for technical writers navigating the transformative impact of AI in the localization space. By emphasizing the importance of audience-centric, high-value content creation, Simon positions documentation as a strategic tool that extends beyond traditional boundaries. Those who master this dual role of educator and bridge-builder will define the forefront of technical writing in an increasingly complex and interconnected digital world. As highlighted by Crowdin Blog, these evolving roles reflect the broader trends reshaping how businesses communicate their value and expertise through documentation.