The talk shows that while AI applications can be built in hours, the true engineering challenge shifts from fast coding to establishing shared ontologies, tool layers, and governance so that agents can scale across the entire value chain without creating isolated silos.
The 2026 618 promotion saw a 40% sales rise on JD, a doubling of 133 brands on Tmall and a 70‑fold surge on Meituan, while industry inventory exceeded 3000 billion CNY and turnover days hit 900, highlighting a shift from price subsidies to a multi‑dimensional value‑focused strategy across online channels.
The article analyses how Moutai transforms a homogeneous liquor market by rewriting its value‑distribution logic through digital DTC channels, dynamic pricing, and a pyramid product system, while balancing heritage with modern efficiency to build a resilient, industry‑wide innovation ecosystem.
Apoorv Agrawal’s AI supercycle analysis introduces an A‑shaped three‑layer value‑chain (Semiconductor → Infrastructure → Apps), shows how AI revenue grew from $90 B in 2024 to $435 B in 2026, why the semiconductor layer now captures most profit, and what conditions could flip the structure.
The article argues that, like the container‑shipping revolution, generative AI belongs to a mature phase of a larger ICT wave, offering limited upside for investors while the real wealth accrues to downstream users and established firms that can exploit cost reductions.
Many B2B product managers with three years of experience end up only drawing prototypes and writing documents, but to advance their careers they must develop four core competencies—business understanding, customer insight, product architecture, and industry/value‑chain knowledge—before the critical 3‑5‑year window closes.
The article explores the core challenges faced by junior technical managers, emphasizing the shift from hands‑on implementation to strategic domain oversight through frameworks like PESTEL and Porter’s value chain, and offers practical guidance for aligning with senior leadership while building expert teams.
This article explains the core concepts of enterprise architecture, defines both enterprise and architecture, outlines major frameworks such as Zachman, TOGAF, DoDAF and FEA, distinguishes business and IT architecture, and details the components, models, and practical integration of business architecture with value streams, capabilities, information, organization, products, stakeholders, policies, and metrics.
This article explains value chain analysis, outlines primary and support activities, and shows how assessing costs and value of each activity can reveal cost‑advantage or differentiation opportunities to improve operational efficiency and profitability.
This article explains the concept of a value chain, outlines Michael Porter’s value‑chain model, describes primary and support activities, compares cost‑leadership and differentiation strategies, and provides practical steps and templates for conducting a value‑chain analysis to improve efficiency and profitability.
This article explores the challenges faced by tech teams in fast‑changing, VUCA‑driven markets and proposes an entrepreneurial approach—strong belief, clear vision, value‑chain thinking, disciplined architecture, and a pragmatic team culture—to activate technical competitiveness and sustainable growth.
The article explores why many programmers feel lost, explains the business‑technology‑software value chain, and argues that adopting a value‑driven architectural mindset helps align learning and work with real business impact, improving both personal fulfillment and organizational outcomes.
This article provides a comprehensive overview of strategic analysis, introducing core tools such as SWOT, PEST, value‑chain analysis, Porter’s Five Forces, Four‑Corners analysis, and the Business Motivation Model (BMM), and explains how these techniques support effective business planning and decision‑making.
The article introduces the concept of a full‑value‑chain researcher, explains why traditional design roles are becoming obsolete, outlines the three‑level value chain (industry, company, product, user), and offers practical steps and skills needed to evolve into this role for lasting career growth.
The article explores why many programmers feel lost amid rapid tech change, arguing that true mastery comes from understanding the business‑technology‑software value chain, aligning architecture with business goals, and prioritizing cost‑benefit to become owners of technology rather than its slaves.
This article explores why programmers often feel lost, explains the business‑technology‑software value chain, and shows how adopting a value‑driven architecture mindset can help engineers align their work with business goals, reduce waste, and advance their careers.
This essay explores why many programmers feel confused and powerless, linking personal career anxiety to a lack of understanding of the business‑technology‑software value chain, and proposes a value‑driven architectural mindset to align learning, work, and true impact.
The article reflects on programmers' sense of bewilderment, explains how understanding the business‑technology‑software value chain and adopting a value‑driven architectural mindset can help engineers prioritize learning, align with business goals, and reduce wasted effort while enhancing system service capability.
