高盛-生成式AI投资框架（英）-2023.3.26-60页_1mb

Americas Technology: Generative AI - Part I Summary

Core Content Overview

This report explores the transformative potential of Generative AI (GAI) in the enterprise software industry, drawing parallels with the earlier cloud computing revolution. It outlines the investment framework for GAI, emphasizing its role in driving productivity, innovation, and long-term growth. The document also highlights key companies expected to benefit from GAI adoption and provides a detailed analysis of the technology, its implications, and the broader economic impact.

Main Points and Key Information

1. Generative AI as the Next Wave of Innovation

• Generative AI extends the capabilities of traditional AI by enabling the creation of content such as text, video, images, and code.
• It is positioned as the next major technological shift, following the internet, mobile, and cloud computing.
• GAI is expected to streamline business workflows, automate routine tasks, and create new business applications.

2. Economic Impact of Generative AI

• The Global Software TAM is estimated at $685 billion, with Generative AI Software TAM at ~$150 billion.
• The GS Macro team estimates that AI could drive ~$7 trillion in global economic growth over the next 10 years, with productivity increasing by 1.5 percentage points annually.

3. Productivity and Growth Levers

• Upselling and cross-selling opportunities arise as software companies integrate GAI into their offerings.
• Higher ASPs (Average Selling Prices) and improved customer retention are expected due to the value proposition of AI-enhanced products.
• Price increases over time are anticipated as the stickiness of products increases with AI integration.

4. Key Companies and Investment Rationale

• Microsoft: Raised PT to $325 from $315. Leads in GAI integration across products like Microsoft 365 Copilot, GitHub Copilot, and Azure OpenAI Services.
• Alphabet: Raised PT to $128. Strong AI integration across search, advertising, and cloud services. Expected to benefit from AI-driven automation in digital advertising.
• Nvidia: Raised PT to $275. Strongly positioned to support the production and deployment of large models, especially with its GPU and software offerings.
• Amazon: Raised PT to $145. AWS benefits from GAI through direct AI/ML services and partnerships with GAI companies.
• Salesforce: Raised PT to $325. Incorporates GAI through Einstein GPT to enhance CRM capabilities, improve user experience, and boost retention.
• Meta: Raised PT to $215. Invests heavily in AI and compute capacity. Products like LLaMA and AI-driven content moderation and advertising tools are key.
• Adobe: Raised PT to $480. Early investments in AI/ML through Sensei and recent Firefly launch position it to lead in creative productivity tools.
• Intuit: Raised PT to $575. Utilizes AI in its Virtual Expert Platform, particularly in TurboTax Live, to improve user experience and retention.

5. Technology Stack and Implications

• GAI is expected to reshape the IT stack, much like cloud computing did.
• The integration of AI into the cloud stack will drive demand for compute resources and enhance platform capabilities.
• The technology stack includes AI/ML services, hardware, and software, with a focus on large language models (LLMs) as a key enabler.

6. Risks and Considerations

• The report acknowledges risks associated with GAI, including data privacy concerns, regulatory challenges, and technological adoption barriers.
• Valuation risks are noted, with the need for careful assessment of long-term growth potential and competitive positioning.

7. Product Innovation and Adoption

• A burst of product innovation is expected to lay the foundation for GAI adoption.
• The product innovation across all layers of the tech stack (SaaS, PaaS, IaaS) is highlighted as a key driver of growth and user engagement.

Conclusion

Generative AI is poised to unlock significant value across the enterprise software sector, much like cloud computing did in the past. It offers new tools for productivity, enhanced product capabilities, and growth opportunities for both established and emerging companies. The report underscores the importance of data, compute infrastructure, and product innovation in driving the adoption and success of GAI. Goldman Sachs identifies several companies as leading players in this space, with increased PTs reflecting confidence in their ability to capitalize on the GAI trend.