Brain Rush: How to Invest and Compete in the Real World of Generative AI

Table of Contents
About the Author
Acknowledgments
Chapter 1: Introducing Brain Rush
	Who I Am and Why I Wrote This Book
	Who Should Read Brain Rush and How Will It Help Them?
	Brain Rush Roadmap
Chapter 2: What Is Generative AI?
	Defining Generative AI
		Generative AI Examples
		Building Generative AI Applications
	The Two Sides of Generative AI
		Generative AI’s Bright Side
		Generative AI’s Dark Side
	How I Researched Generative AI
	The Generative AI Ecosystem Model
	Conclusion
Part I: Mining Generative AI’s End-User Value
	Chapter 3: Generative AI Customer End Uses
		Who Uses Generative AI?
		Individual Generative AI Applications
			Consumer End Uses
			Employee End Uses
		Organizational Generative AI Applications
		Which Generative AI End Uses Create the Most Value?
		Healthcare Generative AI Case Studies
			Generative AI Helps Contra Costa County Health Services Answer Patient Questions Faster
			Generative AI Simplifies Patient Consent Forms
			Generative AI Frees Doctors from Transcribing Patient Conversations
			Generative AI Helps Doctors Diagnose Disease
		Financial Services Generative AI Case Studies
			JPMorgan Developing ChatGPT-Like Investment Advisor
			Alpha Keeps State Street’s Clients Happy
			Goldman Sachs Tests Generative AI
		Principles of Successful Generative AI Deployment
			What to Do
			What to Avoid
		How End Users Can Make the Most of Generative AI
		Conclusion
Part II: Mapping the Generative AI Ecosystem
	Chapter 4: Generative AI Consulting
		Generative AI Consulting Industry Players
		Generative AI Consulting Industry Attractiveness
		Generative AI Consulting Industry Participants
			Strategists
				McKinsey
				Boston Consulting Group
			Risk and Process Managers
				EY
				KPMG
				PwC
			Coding Outsourcers
				Cognizant
		Generative AI Consulting Critical Activities
		Conclusion
	Chapter 5: Generative AI Software
		Generative AI Software Industry Players
		Generative AI Software Industry Attractiveness
		Generative AI Software Industry Participants
			Publicly Traded Proprietary LLM Providers
				Microsoft
				Google
			Privately Held Proprietary LLM Providers
				OpenAI
				Cohere
				Anthropic
			Open Source LLM Providers
				Hugging Face
				Meta Platforms’ Llama
			Publicly Traded Application-Specific Generative AI Application Providers
				Adobe
				ServiceNow
			Privately Held Application-Specific Generative AI Application Provider
				Hyro
				Writer
		Generative AI Software Critical Activities
		Conclusion
	Chapter 6: Generative AI Cloud Platforms
		Generative AI Cloud Platform Industry Players
		Generative AI Cloud Platform Industry Attractiveness
		Generative AI Cloud Platform Industry Participants
			Generative AI Cloud Services Provider Subsidiaries of Public Companies
				Amazon Web Services
				Microsoft Azure
				Google Cloud
			Publicly Traded Generative AI Data Centers
				Equinix
		Publicly Traded Generative AI Networking Technology Providers
			Arista Networks
			Generative AI Database Providers
				MongoDB
				Snowflake
				Databricks
			Publicly Traded Generative AI Application Performance Monitoring Service Providers
				Datadog
		Generative AI Cloud Services Critical Activities
		Conclusion
	Chapter 7: Generative AI Hardware
		Generative AI Hardware Industry Players
		Generative AI Semiconductor Industry Attractiveness
		Generative AI Hardware Industry Participants
			Publicly Traded Generative AI Semiconductor Companies
				AMD
				Nvidia
				TSMC
			Publicly Traded Semiconductor Manufacturing Equipment Suppliers
				ASML
			Publicly Traded Computer Server Manufacturers
				Dell
				Super Micro Computer
			Publicly Traded Data Center Cooling Product Manufacturers
				Vertiv
		Generative AI Hardware Critical Activities
		Conclusion
Part III: Panning for Generative AI Gold
	Chapter 8: Generative AI’s Implications for  Consumers, Employees, Companies, Product Providers, and Investors
		How Consumers Can Benefit from Generative AI
			High-Payoff Generative AI Experiments
			Consumer Generative AI Dos and Don’ts
		How Consumers Can Capture Generative AI’s Value
			Prompt and Response 1: Provide Four Options for a New Office Chair
			Prompt and Response 2: Compare Four Options on Customer Reviews, Ease of Assembly, Useful Life, and Price Range
			Prompt and Response 3: Assess Whether the Quality of the Highest Priced Chair Justifies Its Price
		How Employees and Business Operators Can Benefit from Generative AI
			High-Payoff Generative AI Experiments
			Employee and Business Operator Generative AI Dos and Don’ts
		How Employees and Business Operators Can Capture Generative AI’s Value
			Growth Strategies for Generative AI Product Providers
			High-Payoff Generative AI Strategies
			Generative AI Product Provider Dos and Don’ts
			How Product Providers Can Capture Generative AI’s Value
		How Investors Can Profit from Generative AI
			A Goldman Sachs Perspective on Generative AI-Driven Growth
			Generative AI Investment Dos and Don’ts
		How Investors Can Capture Generative AI’s Value
		Conclusion
	Chapter 9: Generative AI’s Benefits and Risks to Society
		Generative AI’s Influence
		The Light Side: Generative AI’s Societal Benefits
			Boosting Global Growth
			Increasing Worker Productivity
			Adding New Jobs in Tech-Rich Regions
			Creating Demand in Supplier Industries
		The Dark Side: Generative AI’s Societal Costs and Risks
			Creating Misinformation
			Boosting Legal Liability
			Displacing Workers
			Ending Civilization
		Holding Generative AI Providers Accountable
		How Government Should Regulate Generative AI
		Actions Citizens Should Take with Generative AI’s Light and Dark Sides
		Conclusion
	Chapter 10: After the Brain Rush: What Is Generative AI’s Future?
		Generative AI and How It Is Likely to Evolve
		Does Generative AI Matter or Is It a Temporary Fad?
		Groups Likely to Be Generative AI Winners and Losers
		The Most Beneficial Uses of Generative AI
			Consumers
			Employees
			Business Leaders
		Publicly Traded Generative AI Product and Services Providers That Make the Best Investments
		Government Policies That Limit the Harm and Maximize the Benefit of Generative AI
		Conclusion
Index