人工智慧情緒指數分析－2026年上半年回顧

本報告檢驗了2026 年上半年人工智慧 (AI) 產業趨勢的變化。

本報告追蹤人工智慧在四個關鍵領域的應用變化——包括採用率、顛覆性創新、支出和應用案例——深入分析了人工智慧的採用情況、投資趨勢和商業前景。報告全面展現了各組織如何應對人工智慧在各行業日益重要的作用。

調查範圍

人工智慧 (AI) 正進入企業應用的新階段。在這個階段，競爭優勢的關鍵不在於對 AI 本身的投資，而是能否有效地將 AI 融入長期業務策略。隨著 AI 透過自動化、智慧決策、科學創新和數位轉型改變各行各業，了解企業如何看待、優先考慮和採用這些技術對於企業領導者、投資者、技術提供者和政策制定者至關重要。 AI 情緒指數衡量了企業對 AI 的信心隨時間推移在不同行業的變化。該指數並非僅僅關注技術進步和市場公告，而是從四個方面——採用、顛覆、用例和支出——捕捉行業專家、分析師和負責人的觀點。透過整合這些觀點，該指數能夠全面評估企業從策略意圖到全企業採用 AI 的進展。

報告內容

• 對2026年上半年人工智慧情緒指數的全面回顧
• 從四個關鍵面向洞察人工智慧產業的發展趨勢：採用率、顛覆性創新、支出和用例。
• AI 採用情緒指數評估重點在於各行業如何擴大 AI 在其業務營運和策略舉措中的整合。
• 對人工智慧顛覆性情緒指數的分析，該指數檢驗了人工智慧對經營模式、競爭定位和產業轉型的影響。
• 對人工智慧用例情感指數進行審查，該指數評估各個行業如何識別、部署和擴展可操作的人工智慧應用程式。
• 人工智慧支出情緒指數評估涵蓋組織在人工智慧技術、人才、基礎設施和長期能力方面的投資。

目錄

第1章：人工智慧情感指數：引言

• 介紹
• 為什麼人工智慧情緒追蹤很重要？
• 它是如何計算的？
• 資料收集過程與受訪者資訊來源
• 調查結構和評分方法
• 關於回覆數量和回覆狀態的關鍵點
• 四種情感類型
• 介紹
• 中斷
• 用例
• 支出

第2章：人工智慧情緒趨勢分析（1月至6月）

• 2026年上半年（1月至6月）檢討目標
• 2026年上半年（1月至6月）主要亮點
• 影響2026年上半年（1月至6月）民眾對人工智慧看法的因素
• 策略評估增強了人們對人工智慧的長期信心。
• 我們已從實驗性實施過渡到全公司範圍的實施。
• 投資重點已轉向具有高擴充性的企業。
• 人工智慧的實際應用持續推動企業的發展動能。
• 管治和執行能力的成熟度成為了競爭優勢。
• 產業優先事項持續影響人工智慧的發展。

第3章：人工智慧實施：情緒分析－上半年（2026年1月至6月）

• 介紹
• 產業特定情緒分析
• 概述
• 相關性分析
• 化學與能源
• 科技與家用電子電器
• 生命科學與醫療保健
• 先進製造

第4章：人工智慧顛覆性影響：情緒回顧－2026年上半年（1月至6月）

• 介紹
• 產業特定情緒分析
• 概述
• 相關性分析
• 化學與能源
• 科技與家用電子電器
• 生命科學與醫療保健
• 先進製造

第5章：人工智慧應用案例：情緒分析－2026年上半年（1月至6月）

• 介紹
• 產業特定情緒分析
• 概述
• 相關性分析
• 化學與能源
• 科技與消費性電子產品
• 生命科學與醫療保健
• 先進製造

第6章：人工智慧支出：情緒回顧－上半年（2026年1月至6月）

• 介紹
• 產業特定情緒分析
• 概述
• 相關性分析
• 化學與能源
• 科技與家用電子電器
• 生命科學與醫療保健
• 先進製造

第7章概要－上半年（2026年1月至6月）

• 產業和類別關鍵情緒趨勢概述
• 專家對市場趨勢的說明與分析
• 2026年下半年展望

The report examines how industry sentiment toward artificial intelligence evolved during the first six months of 2026. It tracks changes across four key dimensions Adoption, Disruption, Spend and Use Case to provide insights into AI implementation, investment trends and business expectations. The review offers a consolidated view of how organizations are responding to the growing role of AI across industries.

Report Scope

Artificial intelligence (AI) has entered a new phase of enterprise adoption, where competitive advantage depends less on investing in AI and more on effectively integrating it into long-term business strategies. As AI transforms industries through automation, intelligent decision-making, scientific innovation, and digital transformation, understanding how organizations perceive, prioritize, and implement these technologies is essential for business leaders, investors, technology providers, and policymakers. The AI Sentiment Index measures how enterprise confidence in AI evolves across industries over time. Rather than focusing solely on technological advances or market announcements, the index captures the outlook of industry experts, analysts, and practitioners across four dimensions: Adoption, Disruption, Use Cases, and Spend. Together, these dimensions provide a balanced assessment of how organizations are progressing from strategic intent to enterprise-wide implementation.

Report Includes

• A comprehensive review of the AI Sentiment Index for the first half of 2026
• Insights into the evolving AI landscape based on four key dimensions - Adoption, Disruption, Spend and Use Case
• Assessment of the AI Adoption Sentiment Index highlighting how industries are expanding AI integration across business operations and strategic initiatives
• Analysis of the AI Disruption Sentiment Index examining AI's influence on business models, competitive positioning and industry transformation
• Review of the AI Use Case Sentiment Index evaluating how industries are identifying, implementing and scaling practical AI applications
• Evaluation of the AI Spend Sentiment Index covering organizational investments in AI technologies, talent, infrastructure and long-term capabilities

Table of Contents

Chapter 1 AI Sentiment Index: Introduction

• Introduction
• Why Is AI Sentiment Tracking Important?
• How Is It Calculated?
• Data Collection Process and Respondent Sources
• Survey Structure and Scoring Methodology
• Response Volume and Effort Highlights
• Four Categories of Sentiment
• Adoption
• Disruption
• Use Case
• Spend

Chapter 2 AI Sentiment Trend Analysis (January-June)

• Objectives of H1 2026 (January-June) Review
• Key Highlights from H1 2026 (January-June)
• Forces Shaping AI Sentiment Across the Half-Year (January-June 2026)
• Strategic Reassessment Strengthened Long-Term AI Confidence
• Enterprise Integration Replaced Experimental Deployment
• Investment Priorities Shifted Toward Scalable Business Value
• Practical AI Applications Continued Driving Enterprise Momentum
• Governance and Execution Maturity Became Competitive Differentiators
• Industry Priorities Continued to Shape AI Evolution

Chapter 3 AI Adoption: Sentiment Review - H1 (January-June 2026)

• Introduction
• Sentiment Analysis by Industry
• Overview
• Correlation Analysis
• Chemicals and Energy
• Technology and Consumer Electronics
• Life Sciences and Healthcare
• Advanced Manufacturing

Chapter 4 AI Disruption: Sentiment Review - H1 (January-June 2026)

• Introduction
• Sentiment Analysis by Industry
• Overview
• Correlation Analysis
• Chemicals and Energy
• Technology and Consumer Electronics
• Life Sciences and Healthcare
• Advanced Manufacturing

Chapter 5 AI Use Cases: Sentiment Review - H1 (January-June 2026)

• Introduction
• Sentiment Analysis by Industry
• Overview
• Correlation Analysis
• Chemicals and Energy
• Technology and Consumer Electronics
• Life Sciences and Healthcare
• Advanced Manufacturing

Chapter 6 AI Spend: Sentiment Review - H1 (January-June 2026)

• Introduction
• Sentiment Analysis by Industry
• Overview
• Correlation Analysis
• Chemicals and Energy
• Technology and Consumer Electronics
• Life Sciences and Healthcare
• Advanced Manufacturing

Chapter 7 Summary - H1 (January-June 2026)

• Summary of Major Sentiment Trends Across Industries and Categories
• Expert Commentary and Market Reflections
• Outlook to H2 2026

List of Tables

• Table 1 : AI Adoption Sentiment Scores, by Industry, January-June 2026
• Table 2 : Correlation Analysis with Key Findings, by Industry, January-June 2026
• Table 3 : AI Disruption Sentiment Scores, by Industry, January-June 2026
• Table 4 : Correlation Analysis with Key Findings, by Industry, January-June 2026
• Table 5 : AI Use Cases Sentiment Scores, by Industry, January-June 2026
• Table 6 : Correlation Analysis with Key Findings, by Industry, January-June 2026
• Table 7 : AI Spend Sentiment Scores, by Industry, January-June 2026
• Table 8 : Correlation Analysis with Key Findings, by Industry, January-June 2026

List of Figures

• Figure 1 : AI Sentiment Scores: January-June 2026
• Figure 2 : AI Adoption Sentiment Scores, by Industry, January-June 2026
• Figure 3 : AI Adoption Sentiment Scores for Chemical and Energy Industry, January-June 2026
• Figure 4 : AI Adoption Sentiment Scores for Technology and Consumer Electronics Industry, January-June 2026
• Figure 5 : AI Adoption Sentiment Scores for Life Sciences and Healthcare Industry, January-June 2026
• Figure 6 : AI Adoption Sentiment Scores for Advanced Manufacturing Industry, January-June 2026
• Figure 7 : AI Disruption Sentiment Scores, by Industry, January-June 2026
• Figure 8 : AI Disruption Sentiment Scores for Chemicals and Energy Industry, January-June 2026
• Figure 9 : AI Disruption Sentiment Scores for Technology and Consumer Electronics Industry, January-June 2026
• Figure 10 : AI Disruption Sentiment Scores for Life Sciences and Healthcare Industry, January-June 2026
• Figure 11 : AI Disruption Sentiment Scores for Advanced Manufacturing Industry, January-June 2026
• Figure 12 : AI Use Cases Sentiment Scores, by Industry, January-June 2026
• Figure 13 : AI Use Cases Sentiment Scores for Chemicals and Energy Industry, January-June 2026
• Figure 14 : AI Use Cases Sentiment Scores for Technology and Consumer Electronics Industry, January-June 2026
• Figure 15 : AI Use Cases Sentiment Scores for Life Sciences and Healthcare Industry, January-June 2026
• Figure 16 : AI Use Cases Sentiment Scores for Advanced Manufacturing Industry, January-June 2026
• Figure 17 : AI Spend Sentiment Scores, by Industry, January-June 2026
• Figure 18 : AI Spend Sentiment Scores for Chemicals and Energy Industry, January-June 2026
• Figure 19 : AI Spend Sentiment Scores for Technology and Consumer Electronics Industry, January-June 2026
• Figure 20 : AI Spend Sentiment Scores for Life Sciences and Healthcare Industry, January-June 2026
• Figure 21 : AI Spend Sentiment Scores for Advanced Manufacturing Industry, January-June 2026
• Figure 22 : AI Sentiment Scores, by Category, January-June 2026