Core Insights - The future of management is uncertain, with ongoing debates about whether it will focus on AI collaboration or sustainability as its core axis [1] - The platform "Management Horizons" aims to illuminate future management trends by integrating global academic insights and diverse cultural perspectives [1] Group 1: Research Findings - A survey titled "The Future of Management and Management of the Future" was conducted, gathering opinions from scholars and IACMR members on three core topics: technology, sustainability, and talent development [2] - Among 82 valid responses, a significant consensus emerged that AI will not replace human management roles, but will instead lead to transformative changes in management practices [2][4] - The concept of "cross-disciplinary integration" is seen as a key competitive advantage for business schools in the next decade, with nearly 80% of respondents supporting this view [5][7] Group 2: Sustainable Development - Business schools are encouraged to foster a culture of sustainability, integrating ESG principles into core curricula and collaborating with companies to address real-world sustainability challenges [8][10] - The emphasis is on creating a supportive environment for sustainable practices, ensuring that sustainability becomes a driving force rather than a hindrance to business growth [10] Group 3: Future Management Trends - The most frequently mentioned keyword predicting changes in management over the next decade is "disruption," primarily driven by AI [13] - There is a strong belief in the importance of "human-machine collaboration" rather than complete automation, highlighting the need for adaptability in management practices [13][14] - The future of management is expected to focus on sustainability across social, ethical, and environmental dimensions, with ESG principles playing a crucial role [14] Group 4: Challenges in Business Education - A common concern among respondents is the disconnect between business schools and practical applications, with calls for a shift towards integrating management knowledge with technological advancements [17] - The need for business schools to cultivate critical thinking and problem-solving skills, moving beyond traditional theoretical frameworks, is emphasized [17]

Group 1 - Peter Drucker is recognized as a significant figure in management theory, often referred to as the "father of management" due to his contributions to the field and his focus on the relationship between individuals, organizations, and society [1][4][11] - Drucker's seminal work, "The End of Economic Man," published in 1939, explores the rise of totalitarianism and the implications of viewing humans solely as "economic beings" [2][8][10] - Drucker proposed that management is not just a discipline but a perspective and a means to combat totalitarianism, emphasizing the importance of human values and responsibilities in organizations [3][12][16] Group 2 - Drucker identified three significant shifts in the concept of "man" throughout Western history: from "spiritual man" to "rational man," and finally to "economic man," which he critiques for reducing human existence to material concerns [5][6][13] - He argued that both capitalism and revolutionary ideologies share the assumption that humans are merely "economic beings," leading to despair and the rise of totalitarian regimes [6][7][10] - Drucker emphasized the need for a new societal structure that includes diverse organizations to fill the gaps between family and state, thereby preventing the monopolization of resources by totalitarian powers [11][12][14] Group 3 - The emergence of the "knowledge worker" concept in the 1950s marked a significant transition from "economic man" to a new understanding of human potential in the context of knowledge economies [13][14] - Drucker believed that the highest ideal of human existence is the concept of the "free man," rooted in the tradition of liberal education, which promotes spiritual and intellectual freedom [15][16] - His vision for management as a "liberal art" reflects the integration of humanistic values with practical skills, aiming to redefine management as a means of fostering individual dignity and societal change [12][16]

Core Viewpoint - The article presents a forward-looking perspective on the evolution of AI, proposing three stages: AI Enable, AI Native, and AI Awaken, emphasizing the need for a fundamental rethinking of business systems rather than merely enhancing existing processes with AI [2][3]. Group 1: AI Enable Stage - Most companies are currently in the AI Enable stage, where the logic is to add AI as a plugin to existing processes, resulting in a superficial transformation [4]. - In this stage, the power structure remains unchanged, with humans acting as the central processing unit (CPU) and AI serving as a more powerful external graphics processing unit (GPU) [5]. - The transition from additive to multiplicative logic requires overcoming three technical thresholds: moving from probability fitting to logical reasoning, from text dialogue to tool action, and from statelessness to long-term memory [5][6][7]. Group 2: AI Native Stage - The AI Native stage represents a shift where AI becomes the CPU, and humans focus on strategy and exception management, fundamentally redesigning processes and organizations for AI from the ground up [8]. - Companies must assess their status in this stage by asking critical questions about their dependency on AI for business existence, the flow of operations, and the transformation of data into experiential knowledge [9][10]. Group 3: AI Awaken Stage - The AI Awaken stage raises profound questions about the definition of work and the role of AI as it evolves from an executor to a discoverer, challenging human understanding and decision-making [11][12]. - This stage signifies a potential shift in power dynamics, where humans may relinquish not only execution rights but also the authority to define what is considered "work" [13][14].

Core Viewpoint - The emergence of AI agents is fundamentally challenging traditional management practices, suggesting a shift from "better management" to "management's exit" in organizations [2][3] Group 1: Traditional Management Limitations - Traditional KPIs are likened to tracks for employees, necessary due to human limitations, but are inadequate for AI agents that possess "eternal memory" [2] - Traditional management tools like KPIs, hierarchical structures, and incentive mechanisms are designed to compensate for human cognitive limitations rather than enhance organizational intelligence [2] Group 2: AI-Native Enterprises - AI-native enterprises must undergo five fundamental rewrites at the genetic level: architecture as intelligence, growth as compounding, memory as evolution, execution as training, and humans as meaning [3] - The ultimate form of an AI-native enterprise focuses on a new operating system centered on "cognitive evolution," moving away from reliance on outdated management logic [3]

Core Insights - The future of management will be fundamentally based on intelligence rather than biology, marking a shift from human-led to AI-augmented enterprises [1][2] - Traditional management systems are seen as corrective measures for human cognitive limitations, which will collapse as AI agents take over execution roles [2][4] - The emergence of AI-native enterprises will redefine organizational structures and operational paradigms, focusing on cognitive evolution rather than resource management [4][5] Summary by Sections Management Paradigm Shift - Management will transition from being human-centered to AI-native, where AI expands human capabilities rather than being managed by humans [1][2] - The introduction of AI agents will disrupt the biological foundations of traditional management, necessitating a complete rethinking of organizational genetics [1][2] Cognitive Anatomy Comparison - A comparison between human employees and AI agents highlights three key differences: continuous memory (AI's eternal memory vs. human's fragile memory), holistic cognition (AI's full alignment vs. human's hierarchical filtering), and endogenous evolution (AI's self-evolving capabilities vs. human motivation-driven evolution) [3][4] Collapse of Traditional Systems - Traditional KPIs are becoming obsolete as AI agents can navigate complex problem spaces without rigid constraints, unlike human-centric systems that were designed to mitigate cognitive shortcomings [4] - The existing supervisory frameworks are shifting from error correction to recalibrating goals, as AI agents understand and execute tasks without the need for constant oversight [4][5] Definition of AI-native Enterprises - AI-native enterprises will require a new operational framework focused on cognitive evolution, characterized by five aspects: architecture as intelligence, growth as compounding, memory as evolution, execution as training, and humans as meaning-makers [5][6] - The demand for talent is shifting towards mid-career professionals with specialized knowledge, as AI reduces the need for generalist analysts [5][6]

Core Insights - The article commemorates the 30th anniversary of Pixar's "Toy Story" and features an unpublished interview with Steve Jobs, emphasizing the enduring nature of storytelling and the importance of talent in creative industries [1][2]. Group 1: Talent and Management Philosophy - Jobs highlights that the core of any enterprise is talent, and he aimed to create an environment where exceptional individuals could thrive without bureaucratic obstacles [5][10]. - Pixar's unique culture allows it to attract top talent from both Hollywood and Silicon Valley, which is rare in the industry [7][8]. - The company has successfully maintained high-quality standards while expanding its workforce from approximately 175 to 300 employees within a year [12]. Group 2: Business Model and Industry Challenges - Jobs discusses the challenges faced by the advertising and special effects sectors, noting a decline in profitability and the difficulty of retaining talent in these areas [18]. - Pixar has exited the advertising business to focus on creating original content, as the need for talented individuals outweighs the benefits of short-term projects [18][20]. Group 3: Storytelling and Technological Advancement - The essence of storytelling remains unchanged despite technological advancements; a good story cannot be transformed by technology alone [26]. - Jobs reflects on the longevity of stories, citing Disney's "Snow White" and the continued relevance of "Toy Story" as examples of timeless narratives that resonate across generations [21][26]. - The complexity of visual storytelling has increased significantly, with rendering times remaining consistent despite advancements in technology, indicating a constant pursuit of higher visual ambitions [23][25].