By Titik Puspa 
Thibault Sottiaux, a pivotal figure at OpenAI, known for his behind-the-scenes role in scaling their powerful AI tools like Codex, is now at the forefront of a new initiative: ChatGPT Work. This ambitious platform aims to extend the transformative capabilities of AI agents beyond the realm of software engineering and into the daily operations of white-collar professionals. Sottiaux, a Technical Staff member and the lead for core products including API, agent infrastructure, enterprise solutions, and all facets of ChatGPT (including ChatGPT Work and classic ChatGPT), as well as Codex, shared insights into OpenAI’s strategy for broad AI adoption and the underlying philosophy driving this expansion.
"We wanted to bring the power of coding agents to everyone," Sottiaux stated in a recent interview, emphasizing the foundational goal behind ChatGPT Work. "This is an exercise in taking something that was made for technical people, and then packaging it in a way that is like safe and delightful to use, but also you can use on the go on mobile, on web, and making it available to as broad of a population as possible." This democratizing vision is underscored by ChatGPT Work’s integration into the Plus plan, priced at an accessible $20 per month, a testament to OpenAI’s commitment to delivering "incredible" value to a wide user base. This approach aligns with OpenAI’s overarching mission to ensure that advanced AI technologies are not siloed but rather integrated into the fabric of everyday professional life.
The economic rationale behind ChatGPT Work is also a significant driver. As industry analysts suggest, OpenAI’s strategic imperative is to cultivate direct relationships with users, thereby owning the application layer of AI interaction. Sottiaux acknowledged this, explaining, "The more value and the more utility that we generate for users, the more they will be willing to also pay for some part of that utility." He drew a parallel to the existing success of ChatGPT, noting, "It’s like I’m bringing so much utility to you as a user that you just sort of sit there and you’re like, ‘of course I want to pay $20 bucks a month for this,’ because you know the value that you get is so much more." This model hinges on demonstrating tangible benefits that naturally encourage user investment, creating a sustainable ecosystem where AI’s productivity gains translate into financial viability for the provider.
Beyond economic considerations, ChatGPT Work plays a crucial role in shaping public perception and fostering broader acceptance of AI. Sottiaux views this as a core responsibility for OpenAI. "The way that I view it is, we have a role in bringing everyone along with this technology," he asserted. The transition from specialized tools like Codex, designed for a technically proficient and forgiving audience, to a user-friendly platform like ChatGPT Work signifies a maturation of the technology. "Codex was built for a forgiving technical audience, where we were making some of these capabilities available very early on, and now we are at a level of maturity of this technology where we feel it is the right step to diffuse it to a much broader audience," Sottiaux explained. The objective is to educate the public that AI is capable of far more than just assisting with writing or personal advice; it can autonomously handle complex, multi-faceted tasks with efficiency and safety, thereby transforming the nature of work itself.
The design philosophy behind ChatGPT Work prioritizes an intuitive and natural user experience, allowing the AI to take the lead where appropriate. "The essence of what we’re trying to do is building extremely capable models, and then figuring out the most simple and delightful way to bring them into your life so that you get tremendous utility from it," Sottiaux elaborated. This often means minimizing user intervention and allowing the AI’s capabilities to shine. "And in order to do that, you need to get out of the way, almost, of the model, and you need to just let it express itself and be able to harness all of the utility that it can provide to you," he added, advocating for a "minimal product surface, just delightful simplicity, a way to engage with humans that is very natural."
This emphasis on natural interaction is exemplified by the recent success of ChatGPT Voice. "We had text before, but now we’ve launched ChatGPT Voice, which has seen a lot of growth. It is super natural to just talk to it, right? The way that we’re talking now, just have an engaging conversation," Sottiaux observed. He foresees this trend continuing, with AI adapting to human communication styles rather than forcing users to adapt to complex interfaces. "The progression of this technology is going to become more natural over time. It adapts to humans. You don’t have to do the reverse, where you have to learn how to use this application." This user-centric design aims to remove friction and make AI an effortless extension of a professional’s capabilities.
Addressing the question of whether the AI is "magic" enough for general adoption, Sottiaux pointed to the overwhelming user response. "We definitely see that the world seems to be ready. This is why we’ve had incredible adoption. We just announced, we hit 20 million users," he revealed, highlighting the successful rollout as "simple but powerful, simple but uncompromising." This widespread acceptance suggests that professionals are indeed ready for AI that can perform complex tasks autonomously, a stark contrast to earlier AI tools that required more user input and guidance. The "magic" Sottiaux refers to is the seamless execution of sophisticated workflows that were previously time-consuming or impossible for individuals to undertake alone.
The development of ChatGPT Work is not a linear process of building a predefined product but rather an ongoing journey of discovery. "It is almost like a product of discovery as well," Sottiaux explained. "As we push on the frontier of capabilities of models, we also discover what it’s capable of, and we sort then lean into the things that it is the most capable of, and then you know build great products around it." This iterative approach allows OpenAI to capitalize on emergent AI strengths. For instance, the development of GPT 5.6 significantly enhanced its capacity for "general work: being able to process a large amount of documents, generating quality slides, generating quality reports, doing deep research, things that a professional will do." OpenAI then leverages these discovered capabilities to refine and enhance the product, incorporating user feedback and real-world usage into its continuous improvement cycle.
Concerns regarding the cost of intelligence, particularly the perceived gap between subscription fees and token usage, are being actively addressed by OpenAI. Sottiaux assured that the company is "working every day to push the frontier on efficiency." The announcement of significant price reductions, such as the 80% cut with Luna, signals a commitment to making advanced AI more affordable. "This is a permanent price correction—so the current level of frontier capabilities become cheaper and cheaper over time. This is something that will continue," he stated. The ultimate goal is to "include more utility in the same dollar amount," meaning users will be able to accomplish more with their existing subscriptions, with the expectation that advancements will lead to reduced costs for comparable or greater capabilities over time.
The critical issue of trust and security, especially when granting AI access to sensitive data like emails and iMessages, is a paramount concern for OpenAI. Sottiaux emphasized that "it’s important to pick models that are safe and aligned." A substantial portion of OpenAI’s investment is dedicated to its "safety stack, the safety approach, publishing honest benchmarks on these things." He confidently asserted that "our models are world-class at these topics," aiming to reassure users that robust security measures and ethical considerations are integral to the development and deployment of their AI technologies, including the newly integrated iMessage functionality. This focus on safety and alignment is designed to build the necessary confidence for widespread adoption of AI agents in professional environments, where data privacy and security are non-negotiable.
