Our Mission
Access AI, a Nevada based company, has been in the website development business specializing in entertainment since 2005. Potential customers can be anyone over the age of 18 with access to the Internet.
How This Works
Now through the power of the Internet, pay -per-click advertising has become one of the most effective ways to profit from web traffic. With the help of Access AI, you can cash in on the immense popularity and profitability of artificial intelligence.
Future Goals
Access AI will continue to be the industry innovator and maintain the competitive edge by offering unique services at a reasonable price, and focusing on excellent customer relations. We are constantly striving to find new marketing and advertising methodologies to increase market share and revenue. These markets have experienced considerable growth with an increase of service requirements over the past several years.
The Facts
As of September 2025, the AI industry is now experiencing rapid growth and exploding in popularity.
Here are some key points to consider:
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Conservative / well-cited estimate: the global AI market was valued at ~$279.2 billion in 2024 and Grand View Research projects it will grow at a CAGR ~35.9% (2025–2030) to reach about $1.81 trillion by 2030. Grand View Research Other market research firms give similar (even larger) forecasts — for example Markets and Markets estimated the AI market at ~$371.7B in 2025 and projects multi-trillion totals by the early 2030s. (Different firms use different scopes: software + services vs. hardware + cloud + apps.) Market sand Markets
Takeaway: double-digit to very high-double-digit CAGR; in plain terms, AI is moving from a large market into a dominant, trillion-dollar economic sector over the next 5–10 years
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Cloud & infrastructure — cloud providers monetize AI via managed model services, GPUs, customized chips and enterprise contracts.
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AI platform & models (APIs / licensing) — per-token or subscription revenue (OpenAI, Anthropic, Cohere, etc.).
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AI applications / SaaS — vertical SaaS that embeds LLMs (legal, healthcare coding, sales automation).
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Edge & embedded AI — inference on devices (lower % now but growing).
Revenue mix is shifting from one-time license fees to recurring usage (API calls, subscriptions) and large enterprise contracts
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Future projections for profitability & who captures value:
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Short term (1–2 years): biggest profits near term flow to (a) chipmakers & hardware vendors (NVIDIA, AMD to a lesser extent), (b) hyperscalers/cloud providers (AWS, Microsoft Azure, Google Cloud) who sell compute + managed AI services, and (c) large platform owners who can embed AI into monetized products (Meta, Google, Microsoft). NVIDIA Newsroom+2Q4 Capital+2
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Mid term (3–5 years): model vendors and AI SaaS companies (OpenAI, Anthropic, Cohere, vertical AI SaaS) should capture recurring revenue if they convert enterprise customers to high-value contracts; value accrues to those who lock in data, hosting, and vertical integrations. (Investors are already valuing these firms in the tens to hundreds of billions in some cases.) Reuters+1
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Long term (5–10 years): as generative models and foundation models become plumbing in most software stacks, margins will compress for commodity model inference but large wins will be in specialized vertical AI, proprietary data + regulatory moats, and in hardware/design (custom chips). Market forecasts point to trillions in aggregate value by 2030–2032.
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