AI时代下的蜂群组织丨马蹄研学

This article is a recruitment notice for a马蹄社 (Mati Club) themed research event on bee swarm organizations in the AI era. The event focuses on the common pain points of AI transformation among cross-border enterprises and will share cutting-edge practical insights, with key details as follows:

1. The vast majority of current cross-border enterprises face two common dilemmas in AI transformation: first, they struggle to identify intersections between AI and their core business, making implementation extremely difficult; second, AI strategies face strong internal resistance. Even proven strategies that work at other companies fail to gain traction internally, hitting on the core difficulties many enterprises encounter during transformation.

2. This event features a rich lineup of practical sessions, including explanations of AI-native bee swarm organizational structure, experience sharing on IPD organizational transformation, pitfalls to avoid from founders, and group co-creation discussions on entry points for AI organizational transformation. It helps interested readers gain hands-on actionable insights for AI transformation.

This article announces a closed-door research event targeting the core pain points of AI transformation for cross-border brands, providing practical references for brands to carry out organizational change and advance AI implementation. Key takeaways are as follows:

1. Cross-border brands generally face two common transformation challenges amid the AI wave: difficulty identifying intersections between AI and their own business that allows for solid implementation, and strong internal resistance that blocks the rollout of AI strategies. These are shared issues most brands encounter during transformation.

2. Targeted at brand founders and core decision-makers, this event will deeply deconstruct the practical experience of leading AI-native enterprises, explain the bee swarm organizational structure adapted to the AI era, and share how IPD organizational transformation helps brands shift from systemic failure to building a "hit product assembly line". It will also discuss practical issues such as cutting product lines, backlash during process rollout, and personnel arrangements after AI adoption, and provide pitfalls-avoidance advice for brand transformation.

For cross-border sellers, this article outlines the industry's common AI transformation pain points and offers an opportunity to access cutting-edge experience and connect with industry resources. Key details are as follows:

1. The vast majority of cross-border sellers generally fall into two common dilemmas when planning AI transformation: first, they cannot find intersections between AI and their own business, making AI transformation hard to implement; second, AI strategies face great internal resistance, making it difficult to replicate the successful transformation achieved by leading companies. These point to the core difficulties many sellers face during transformation.

2. This closed-door research event will deconstruct the practical experience of AI-native organizations at leading firms, facilitate discussions on seller-focused practical issues including entry points for organizational change, product line adjustment, process implementation, and personnel arrangements. It also allows for in-depth exchanges with peer core decision-makers, offers pitfalls-avoidance advice for transformation, helps sellers seize growth opportunities from AI transformation and reduce transformation risks.

The AI transformation-themed research event introduced in this article provides valuable inspiration for factories advancing digital transformation and expanding cross-border business. Key insights are as follows:

1. Many factories encounter the same common problems as other cross-border enterprises when expanding overseas and embracing AI transformation: they struggle to find intersections between AI and core operations including production, design and sales, which blocks implementation, and heavy internal resistance stops AI transformation strategies from moving forward. These are the core issues factories must address to complete transformation.

2. This research event will share the experience of building AI-native bee swarm organizations from leading enterprises, explain how IPD organizational transformation enables a shift from systemic failure to building a hit product assembly line. It helps factories clarify organizational requirements for product development and production in the AI era, identify directions for advancing digital and e-commerce transformation, access industry resources, gain pitfalls-avoidance experience for transformation, and uncover new business opportunities.

This article outlines the common pain points of AI transformation for cross-border enterprises, helping service providers grasp industry trends, clarify customer demands, and optimize their own solutions. Key takeaways are as follows:

1. The vast majority of cross-border enterprises generally face two core pain points during AI transformation: difficulty implementing AI because it cannot be integrated with their core business, and internal organizational resistance that blocks AI strategy rollout. These are the most common core customer pain points service providers encounter when serving clients pursuing AI transformation, and can help service providers accurately pinpoint customer demand directions.

2. This research event will deconstruct cutting-edge practical solutions from leading AI-native enterprises, introduce the bee swarm organizational structure adapted to the AI era, share implementation experience of IPD organizational transformation, and discuss various practical issues that arise during organizational change. It helps service providers accurately grasp industry development trends in the era of AI transformation, better develop implementation solutions adapted to customer demand, and capture industry growth opportunities.

This article outlines the common demands for AI transformation among cross-border sellers on platforms, providing references for platform operators to optimize operation services and plan investment attraction layouts. Key insights are as follows:

1. The vast majority of cross-border sellers on platforms face two shared problems during AI transformation: difficulty implementing AI due to lack of clear business integration points, and internal organizational resistance that blocks strategy rollout. This indicates sellers have strong demand for organizational adjustment and implementation methods for AI transformation, and platforms can optimize their merchant service systems around this demand.

2. This closed-door research event for core decision-makers of brands gathers transformation practical experience from leading enterprises, covering multiple practical issues including organizational change, product adjustment, and personnel arrangements. Platform operators can grasp the trend of merchant transformation from the event, avoid risks in serving merchants, and refer to this event model to build a merchant growth service system. This helps attract more high-quality brand merchants to settle on the platform and improve merchant retention and growth.

This article points out new trends and issues in industrial organizational transformation for the cross-border sector in the AI era, providing cutting-edge research materials and directions for industry researchers. Key details are as follows:

1. Amid the AI wave, new shared research questions have emerged in the cross-border industry: the vast majority of cross-border enterprises face two major dilemmas in AI transformation: difficulty implementing AI due to lack of clear integration points with core business, and internal organizational resistance that blocks AI strategy advancement. These are new industrial problems that emerged during the industry-wide AI implementation phase, and carry high research value.

2. New practices of AI-native organizations have already emerged in the industry: leading firms have explored the bee swarm organizational structure for the AI era, where hundreds of AI Agents deeply take over core business operations, and have also developed a new model of building a hit product assembly line through IPD organizational transformation. This research event will deconstruct these cutting-edge practical experiences and discuss various new transformation issues, providing first-hand cutting-edge materials for researchers to study organizational change and new business models in the AI era.