OpenAI首次亮相戛纳 正式官宣入局广告业务

This article covers OpenAI's official entry into the advertising business, announced at the 2026 Cannes Lions International Festival of Creativity in June. The business is still in its early stage, and brings several tangible benefits to general users and content professionals:

1. General users will get access to AI services with lower barriers. OpenAI explicitly stated that advertising revenue will be used to subsidize costs for free and low-tier paid users, further lowering the threshold to access high-quality AI tools.

2. Clear protections are in place for user privacy. OpenAI has set clear boundaries for advertising: sponsored content will be explicitly marked, and no user conversation data will be shared with advertisers, maximizing protection of user rights.

3. For creative content professionals, OpenAI's AI model can significantly improve content production efficiency. Creators without programming experience can call tools via natural language to rebuild creative workflows, and creative leads can directly participate in tool development.

OpenAI's official entry into advertising brings new channels and capability support for brand marketing:

1. The new advertising channel offers considerable traffic value. OpenAI currently has over 900 million weekly active users, 20% of whose queries carry direct commercial intent, and many upper-funnel searches also have conversion potential. This allows brands to reach highly targeted potential customers.

2. Its performance measurement framework aligns better with conversion goals. Instead of centering on impressions or dwell time, OpenAI focuses on whether advertising helps users complete actual tasks, which fits the industry's ongoing shift from an attention economy to an intelligence economy.

3. It helps brands relieve content production pressure. OpenAI's models can quickly generate massive content assets adapted for different languages, audiences and platforms, and brands can build custom creative production tools without programming experience, lowering the barrier for in-house content production.

4. Two billing models are currently available: cost per thousand impressions (CPM) and cost per click (CPC), with CPC accounting for the majority of current ad spend, giving brands flexible options.

OpenAI's official entry into the advertising industry brings sellers new opportunities for traffic growth, along with key considerations:

1. It offers a new incremental traffic opportunity. With over 900 million weekly active users, nearly 20% of queries carry clear commercial intent, and the platform holds large untapped conversion potential. This is an underutilized new incremental traffic pool that is well-suited for sellers looking to open new customer acquisition channels.

2. The business is already ready for ad placement. After launching a U.S. pilot in February 2026, OpenAI rolled out a beta ad manager and expanded to international markets including the U.K. and Australia, and has launched conversion tracking tools that already support integration with advertisers' placement needs.

3. Flexible, controllable billing options. In addition to the original CPM model, OpenAI added CPC billing, which now accounts for the majority of total ad spend. Sellers can choose a suitable billing model based on their own profit model to control placement costs.

4. Sellers should note that the business is still in an early stage with evolving rules, so it is necessary to understand the platform's clear advertising content boundaries in advance to avoid non-compliant placement.

OpenAI's entry into advertising and opening of AI capabilities brings factories new business opportunities and directions for digital upgrading:

1. It opens new customer acquisition opportunities. OpenAI's advertising ecosystem helps factories directly reach users with clear commercial demand, shortens customer acquisition paths, and lowers the cost of opening new channels, making it well-suited for factories looking to expand D2C business or tap new customer markets.

2. It lowers the barrier for producing marketing content. Factories can use OpenAI's models to quickly generate promotional materials adapted for multiple languages, platforms and audiences. This allows factories to meet massive content demand without a dedicated professional content marketing team, cutting promotional costs.

3. It provides inspiration for factories' digital transformation. OpenAI allows users without programming experience to build business processes by calling tools via natural language. Factories can leverage this type of AI capability to lower the barrier for digital transformation and advance digital upgrading across production, marketing and other links.

4. The cost of accessing AI tools will continue to decline, as advertising revenue subsidizes free and low-cost access, which will further lower the threshold for factories to access high-quality AI tools.

OpenAI's entry into the advertising industry clarifies new industry trends and cooperation directions for advertising and related service providers:

1. It outlines the future development direction of the industry. The advertising industry is currently shifting from an attention economy to an intelligence economy: the core value of advertising is no longer capturing user attention, but helping users complete actual tasks, and the entire industry's value logic is undergoing transformation.

2. It clarifies the core pain points of current brand clients. Brands now need to produce tens of thousands of content assets adapted for different languages, audiences and platforms, creating far greater content production pressure than ever before that traditional production models cannot meet. This creates new service opportunities for providers.

3. AI and service providers are complementary, not a replacement. AI boosts content production efficiency, allowing service providers to focus on core links such as strategy and creativity. This creates aligned mutual interests, and providers can integrate OpenAI's capabilities to upgrade their own services.

4. Protecting user trust is a core industry pain point. OpenAI's clear policy of not sharing user conversation data and explicitly labeling advertising provides a reference framework for providers to maintain user trust.

The path and operating logic of OpenAI's advertising business offer many valuable lessons for platforms developing their own advertising operations:

1. OpenAI's operating approach of balancing revenue and user experience is highly instructive. Instead of chasing short-term traffic metrics, OpenAI positions helping users complete actual tasks as the core goal of advertising, and uses ad revenue to subsidize free users to lower AI access barriers, expanding user scale while preserving user experience.

2. User trust is core to a platform's long-term development. OpenAI clearly defines boundaries for advertising content, explicitly labels sponsored content, and strictly refuses to share user privacy data with advertisers. This approach sustains long-term user trust and reduces the platform's trust-related risks.

3. Its incremental iterative product development strategy reduces trial-and-error costs. OpenAI launched a pilot in the U.S. first, then gradually expanded to international markets, rolling out features such as an ad manager and conversion tracking one by one to iteratively improve the product and fit market demand.

4. It flexibly adjusts billing models to meet advertisers' needs. After launching with only CPM billing, OpenAI added CPC based on market feedback to meet the placement needs of different advertisers and boost willingness to投放.

OpenAI's official announcement of entering advertising is a major new development in large AI model commercialization, and holds important reference value for research on AI industry development and advertising industry transformation:

1. It opens up a new core path for large AI model commercialization. Leading AI company OpenAI's entry into the advertising industry sends a clear signal about the direction of AI commercialization. OpenAI has projected to investors that it will reach $100 billion in annual ad revenue within four years, far outpacing Meta, which took 17 years to hit the same milestone. Commercialization of AI advertising is progressing much faster than it did for the traditional internet industry.

2. It establishes an entirely new advertising business model. OpenAI categorizes its new offering as a completely new type of advertising, with a core logic that shifts from the traditional attention economy to an intelligence economy. Its key performance indicators shift from impression-based traffic metrics to whether advertising helps users complete actual tasks, restructuring the value logic of the entire advertising industry.

3. It forms a replicable positive circular business model. OpenAI generates revenue from advertising, uses that revenue to subsidize free and low-cost users to lower AI access barriers and expand user scale, which in turn grows the overall advertising traffic pool. At the same time, privacy protections preserve user trust to support long-term sustainable growth.

4. The business has already passed initial validation. Just 19 weeks after launch, OpenAI completed the U.S. pilot, expanded to the U.K. and Australian markets, built out multiple billing models, and formed partnerships with all stakeholders across the industry, proving the preliminary feasibility of the model.