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16 Changes to the Way Enterprises Are Building and Buying Generative AI

Andreessen Horowitz

Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI.

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Clouded Judgement 2.3.23

Clouded Judgement

We have companies like BuzzFeed and C3 making loose announcements about how they will incorporate generative AI into their business, sending their stocks up 50-100%+. A 2023 recession feels less likely, with 2024 being the more realistic timing if we do in fact get to a deeper recession. The market was offsides. Market Offsides.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Data Lakes have been a staple for a long time, storing both structured and unstructured data.

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Top LLMs in 2025: Best Large Language Models for AI, SaaS & Development

How To Buy Saas

In 2025, foundation models or generative AIs like GPT-4, Claude, Gemini, and open-source LLaMA are reshaping AI research, software development, and SaaS products. GPT-4 , released in 2023, brought significant gains over GPT-3.5 For example, Llama 3 powers Metas own Meta AI assistant in Facebook and WhatsApp.

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DeepSeek vs Claude vs Mistral: Top GPT Competitors in 2025

How To Buy Saas

Tech giants (Googles Gemini, Metas LLaMA) and startups worldwide are launching generative AI models. Access and integration : Some LLMs offer public APIs or cloud deployment (ChatGPT, Claude, Mistral on Azure), while open models can be self-hosted. Major clouds like Azure even host Mistral Large for free deployment.