Awesome Business Resources
Awesome AI for Business
A curated list of the best resources about AI strategy, implementation, and practical applications for business leaders.
Inspired by awesome lists. Maintained by Rework.
AI is no longer a future technology. It's a present competitive advantage. But the gap between organizations that use AI as an efficiency tool and those that use it to fundamentally rethink their business models is widening fast. These resources will help you think clearly about AI strategy, avoid common traps, and build AI capabilities that actually move the needle.
Contents
- Articles
- Books
- Videos & Talks
- Tools & Software
- Templates & Frameworks
- Case Studies & Real-World Examples
- Communities & Newsletters
- Rework Resources
Articles
- The State of AI: Agents, Innovation, and Transformation (2025) - McKinsey's annual survey finding 88% of companies now use AI in at least one function.
- AI and Machine Learning - Harvard Business Review's curated collection of executive-focused AI leadership articles.
- Embracing Gen AI at Work - HBR research on how knowledge workers are integrating generative AI into daily workflows.
- Where Senior Leaders Are Struggling with AI Adoption - HBR's 2026 research on the organizational barriers that slow down AI programs.
- How Do Workers Develop Good Judgment in the AI Era? - HBR on the new skill gap AI creates: junior employees who can't evaluate AI output.
- AI-First Leadership: Embracing the Future of Work - Harvard Business on what it means to lead with AI at the center of your operating model.
- Three Keys to Building a Data-Driven Strategy - McKinsey on the data infrastructure required before AI can deliver business results.
- What Separates AI High Performers from the Rest - Analysis of McKinsey's finding that top AI adopters are 3x more likely to use AI for transformation.
- The AI Hype Cycle and What Comes Next - Gartner's framework for understanding where AI technologies sit on the maturity curve.
- AI Superpowers: Why China and the US Are Pulling Ahead - MIT Technology Review analysis of global AI competition and what it means for business.
- Why Human Skills Matter More in the AI Era - Harvard Business on the leadership competencies AI cannot replace.
Books
- Co-Intelligence: Living and Working with AI by Ethan Mollick - The most accessible and honest 2024 book on how to actually work with AI right now.
- Power and Prediction: The Disruptive Economics of Artificial Intelligence by Agrawal, Gans & Goldfarb - How AI shifts decision-making power and reshapes business models at an economic level.
- AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee - The strategic landscape of global AI competition and what it means for business leaders.
- The AI-First Company by Ash Fontana - How to build a business that compounds its advantage through data and AI loops.
- Competing in the Age of AI by Iansiti & Lakhani - How AI is changing the fundamental logic of firm strategy and competitive advantage.
Videos & Talks
- AI for Everyone - Andrew Ng - Coursera course preview: the clearest non-technical introduction to AI strategy for executives.
- Ethan Mollick on Using AI Right Now - Mollick's practical talk on AI's current capabilities and how to build the skill of using it well.
- Sam Altman at Stanford: The Intelligence Age - Sam Altman's talk on where AI is headed and what it means for organizations and society.
- McKinsey on AI Agents in the Enterprise - McKinsey's video briefing on the rise of agentic AI and its enterprise implications.
- Our Favorite Management Tips on Leading with AI - HBR's curated collection of the most practical AI leadership advice from 2025-2026.
Tools & Software
- Microsoft 365 Copilot - AI assistant embedded across Word, Excel, PowerPoint, Teams, and Outlook for enterprise teams.
- Google Workspace AI - AI features across Gmail, Docs, Sheets, and Meet for Google-based organizations.
- Claude for Business (Anthropic) - Anthropic's AI assistant with strong reasoning, long context, and enterprise security options.
- ChatGPT Enterprise - OpenAI's enterprise offering with data privacy, advanced analytics, and custom GPT deployment.
- GitHub Copilot - AI coding assistant that significantly accelerates software development across engineering teams.
- Notion AI - AI writing and knowledge management features built into Notion workspaces.
- Perplexity Pro - AI-powered research assistant for executives who need fast, cited answers.
- Glean - Enterprise AI search that connects across all your organization's tools and documents.
Templates & Frameworks
- AI Use Case Prioritization Matrix - McKinsey's framework for evaluating and ranking AI use cases by value and feasibility.
- AI Governance Policy Template - World Economic Forum's governance template for responsible enterprise AI deployment.
- AI Readiness Assessment - Gartner's framework for assessing your organization's data, talent, and culture readiness for AI.
- AI ROI Calculator Framework - HBR's approach to measuring and communicating the business impact of AI investments.
- AI Tools for Business Operations - A guide to selecting and deploying AI tools across core business operations functions.
Case Studies & Real-World Examples
JPMorgan Chase - Deployed its COIN (Contract Intelligence) system to review commercial loan agreements, a task that previously required 360,000 hours of lawyer and loan officer time annually. COIN completed the same work in seconds while reducing errors, demonstrating how AI applied to a specific, well-defined legal workflow delivers measurable ROI without replacing the entire workforce. Source
GitHub Copilot - A controlled study by GitHub found developers using Copilot completed coding tasks 55% faster than those working without it. The productivity gains were largest for repetitive and boilerplate-heavy tasks, validating the "AI as junior pair programmer" model and helping GitHub cross one million paid subscribers within a year of launch. Source
Walmart - Built AI-powered supply chain systems that analyze demand signals, weather patterns, and supplier data to optimize inventory across more than 10,000 stores. The system reduced out-of-stock incidents and overstocking simultaneously, contributing to supply chain cost savings Walmart attributes partly to what it calls its AI-driven "supply chain renaissance." Source
Stitch Fix - Built its entire business model around algorithmic styling, using machine learning to match clothing recommendations to individual customer profiles while human stylists add judgment the algorithm can't replicate. This hybrid model — AI handles scale, humans handle nuance — contributed to Stitch Fix reaching $2 billion in annual revenue and becoming a widely cited example of AI-native business design. Source
Google's internal AI deployment - Google's DeepMind team applied AI to optimize cooling in Google data centers, reducing the energy used for cooling by 40%. This represents one of the clearest documented examples of AI delivering operational ROI in a physical infrastructure context — not a software product, but cooling equipment management. Source
Duolingo - Adopted a "Duolingo Max" AI strategy powered by GPT-4, enabling personalized conversation practice and mistake explanation at scale that was previously impossible with human tutors. Within months of launch, Duolingo reported that AI-powered features drove meaningful increases in paid subscriber retention — a direct business outcome from AI product investment. Source
Communities & Newsletters
- a16z AI Newsletter - Andreessen Horowitz's analysis of AI trends, funding patterns, and enterprise AI adoption.
- One Useful Thing by Ethan Mollick - The most practical Substack newsletter on using AI at work, written by a Wharton professor.
- The Rundown AI - Daily AI news and tool discoveries, focused on business applications and executive relevance.
Rework Resources
- AI Business Intelligence Platforms - How AI is transforming business intelligence and what platforms are worth evaluating.
- AI Change Management Strategies - How to manage the human side of AI adoption in your organization.
Contributing
Know a great AI for business resource we've missed? Let us know.
Last updated: March 2026. Links verified. Covers AI strategy, adoption, governance, and practical tools for business leaders and executives.
