Former OpenAI employee on why
$MSFT is the clear leader in enterprise AI and why that lead is hard to close (
$AMZN,
$NVDA ):
- The expert sees AI adoption typically starting in the cloud with frontier models from companies OpenAI or Anthropic, but notes that organizations quickly become more cost-conscious and shift toward open-source models like Llama, Granite, and increasingly Chinese models, which can run both in the cloud and on-prem at a lower cost per token.
- For on-prem deployments where latency and privacy are the primary concerns, the expert favors open-weight models, which can run both on-prem and in the cloud at low cost. Running them through a hyperscaler is often cheaper than renting a GPU independently, since providers like
$GOOGL,
$AMZN, and
$MSFT already offer these models on their own instances without the setup and management overhead of a self-hosted deployment.
- The expert says that some recently released Chinese models are performing on par with, or even beating, the leading frontier models from OpenAI and Anthropic, similar to the surprise DeepSeek caused when it first launched by matching frontier model performance at a fraction of the cost.
- The expert highlights the pace of price compression in AI as unlike any other industry, with the cost of a million tokens dropping from $70 three years ago to under $0.77 today for commercial models and as low as $0.22 for open-source models, while demand has simultaneously exploded. The expert points to power as the binding constraint, with gas turbine wait lists stretching four years and data center buildout in the U.S. effectively stalled for anyone who cannot secure power today.
- Still, the expert does not see saturation arriving for another two to three years at minimum, and expects AI to spread far beyond data centers into consumer devices, with small language models running locally on CPUs becoming an increasingly practical option for organizations that do not want to invest heavily in GPU infrastructure.
- The expert sees
$MSFT as the clear leader in enterprise AI adoption, largely because Copilot is already embedded in
$MSFT suite, meaning most organizations have effectively pre-approved the
$MSFT stack by default before any formal evaluation even takes place. That built-in distribution advantage is something
$GOOGL and others simply cannot replicate within the
$MSFT ecosystem