The CEO of $AVGO has indicated a strong and growing demand for AI as customer bookings have increased over the past few months, with visibility for orders extending to 2028. This follows a trend where companies are planning longer-term investments in AI, reflecting an industry-wide increase in required compute capacity driven by significant token consumption from major large language models such as Anthropic, OpenAI, and Gemini. While enterprise adoption of AI remains in its early stages, the CEO expects continued growth in this area through 2027 and into 2028.

Gemini: Gemini is Google’s multimodal AI model family integrated across search, productivity tools, and cloud services. It contributes to the ecosystem of large language models powering enterprise AI workloads. Recent developments include its prominent role in Google’s 2026 developer events and ecosystem expansions.
OpenAI: OpenAI is a leading AI organization known for its GPT models and platforms like ChatGPT that enable widespread generative AI applications. It is frequently cited among the primary drivers of compute demand through high-volume LLM usage. In 2026 the company has advanced new product features and enterprise integrations.
Broadcom: Broadcom is a semiconductor company specializing in custom AI accelerators, networking solutions, and related infrastructure that power large-scale AI deployments. Its CEO recently highlighted extending revenue visibility on AI bookings through 2028, driven by sustained demand. The company continues to secure major AI-related contracts amid growing enterprise needs.
Anthropic: Anthropic is an AI research and safety company focused on developing reliable frontier models, including the Claude family used for advanced reasoning and coding tasks. It remains one of the key providers of large language models referenced in discussions of surging token consumption. Recent efforts include expanding partnerships and tools for enterprise and developer use cases.

`json
{
“AI Demand Driver”: “Token consumption from major LLMs continues to drive substantial growth in required compute capacity across the industry.”,
“Enterprise Stage”: “Enterprise adoption of AI technologies remains at a relatively early phase, with ongoing expansion expected in the coming years.”,
“Visibility Extension”: “Companies are reporting extended planning horizons for AI-related investments reaching into the latter part of the decade.”
}
`