The Corporate Hacker's Guide 2026
Description
The Corporate Hacker's Guide 2026
Enterprise AI Transformation Intelligence
THE PROBLEM: IBM Watson lost $15B. Zillow lost $881M in one quarter. Knight Capital lost $440M in 45 minutes. AI transformation without proper strategy destroys value.
THE SOLUTION: 281 pages of battle-tested frameworks, tools, and case studies. Everything you need to transform with confidence—at 1.6% the cost of a consulting engagement.
WHAT'S INSIDE
11 Strategic Sections
13 Implementation Appendices
3 Scale-Specific Supplements
99 Tables & Frameworks
5 Industry Blueprints ✓ 100-Point AI Readiness Assessment
AI-Adjusted DCF Financial Model
EU AI Act Compliance Toolkit
5 Failure Case Studies
Enterprise AI Transformation Intelligence
THE PROBLEM: IBM Watson lost $15B. Zillow lost $881M in one quarter. Knight Capital lost $440M in 45 minutes. AI transformation without proper strategy destroys value.
THE SOLUTION: 281 pages of battle-tested frameworks, tools, and case studies. Everything you need to transform with confidence—at 1.6% the cost of a consulting engagement.
WHAT'S INSIDE
11 Strategic Sections
13 Implementation Appendices
3 Scale-Specific Supplements
99 Tables & Frameworks
5 Industry Blueprints ✓ 100-Point AI Readiness Assessment
AI-Adjusted DCF Financial Model
EU AI Act Compliance Toolkit
5 Failure Case Studies
Table of Contents
194 Pages
- PART I: THE TRANSFORMATION FRAMEWORK
- Section 1: The Exponential Technology Imperative
- 1.1 The AI Imperative: Compete or Be Obsolete
- 1.2 AI Maturity Model: Where Does Your Organization Stand?
- 1.3 Generative AI: The Productivity Revolution
- 1.4 Quantum Computing: Preparing for the Next Frontier
- 1.5 The 180-Day Transformation Sprint
- Section 2: Zero-Friction Operations
- 2.1 The Hidden Cost of Organizational Friction
- 2.2 The Friction Taxonomy: A Diagnostic Framework
- 2.3 Intelligent Automation: The Friction Elimination Engine
- 2.4 Decision Intelligence: Augmenting Human Judgment
- 2.5 Process Redesign Principles
- Section 3: Continuous Disruption Architecture
- 3.1 The Disruption Imperative
- 3.2 The Innovation Operating System
- 3.3 The 10 Commandments of Corporate Hacking
- Section 4: Ecosystem Orchestration
- 4.1 The Platform Imperative
- 4.2 Platform Economics: Deep Dive
- 4.3 Platform Mastery: Case Studies
- 4.4 Platform Strategy for Established Enterprises
- PART II: THE OPERATING ENVIRONMENT
- Section 5: 2026 Economic Outlook & Macro Trends
- 5.1 The AI Economy Emerges
- 5.2 Critical Economic Indicators for 2026
- 5.3 Monetary Policy and Capital Markets
- 5.4 Global Trade Architecture: A Fragmented World
- 5.5 Sector-Specific Economic Outlook
- 5.6 Strategic Recommendations: Capital Allocation Framework
- Section 6: Geopolitical Risk Analysis
- 6.1 The New Geopolitical Reality
- 6.2 Top Geopolitical Risks for 2026
- 6.3 US-China Strategic Competition: Deep Analysis
- 6.4 Taiwan Scenario Analysis
- 6.5 Building Geopolitical Resilience 4
- The Quantum Institute | www.theq.institute | [email protected]
- PART III: STRATEGIC ENABLERS
- Section 7: ESG Integration & Sustainability Strategy
- 7.1 The ESG Inflection Point
- 7.2 Climate Strategy: From Commitment to Execution
- 7.3 Human Capital and Social Strategy
- 7.4 ESG Governance and Disclosure
- 7.5 ESG Value Creation Opportunities
- Section 8: M&A Strategy in the Age of AI
- 8.1 The AI Acquisition Imperative
- 8.2 2026 M&A Market Dynamics
- 8.3 AI Acquisition Categories
- 8.4 AI-Era Due Diligence Framework
- 8.5 Integration Success Framework
- Section 9: Cybersecurity Frameworks for the AI Era
- 9.1 The Transformed Threat Landscape
- 9.2 2026 Cybersecurity Threat Matrix
- 9.3 AI-Enabled Defense Strategies
- 9.4 Zero Trust Architecture
- 9.5 Securing AI Systems
- Section 10: Talent Wars: Winning the AI Workforce Battle
- 10.1 The Talent Crisis Quantified
- 10.2 AI Talent Market Dynamics 2026
- 10.3 Talent Acquisition Excellence
- 10.4 Internal Development: Building Your Own Talent
- 10.5 Retention Excellence
- APPENDICES
- Appendix A: Transformation Case Studies
- Case Study 1: Amazon — The Continuous Reinvention Machine
- Case Study 2: Microsoft — The Cloud and AI Transformation
- Case Study 3: JPMorgan Chase — Traditional Finance Meets AI
- Case Study 4: Tesla — Software-Defined Manufacturing
- Appendix B: Industry Transformation Blueprints
- Blueprint 1: Healthcare & Life Sciences
- Blueprint 2: Financial Services
- Blueprint 3: Manufacturing
- Blueprint 4: Energy & Utilities
- Blueprint 5: Retail & Consumer Goods
- Appendix C: Implementation Toolkit
- Tool 1: 100-Point AI Readiness Assessment
- Tool 2: AI Platform Vendor Evaluation Matrix
- Tool 3: AI Use Case Prioritization Framework
- Tool 4: AI ROI Calculation Template
- Tool 5: AI Transformation Checklist
- Appendix D: Glossary & Key Definitions
- Appendix E: References & Further Reading
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