The fastest growing companies in AI & software all share one property. They are either selling AI directly, or they are reselling inference. At worst, the first derivative of inference.
State-of-the-art AI email costs $22-130/month, but smaller models & local inference can cut costs by 100x. The next 12-24 months will be defined by matching models to workloads.
The new sales motion asks three questions : software budget, labor budget, & what ratio you want in three years.
Omni raises $90M at $1.5B to power intelligence about the business, not just dashboards.
The SaaS era rewarded unbundling & specialization. AI companies are rebundling into platforms because rapid model changes create cognitive burden for buyers assembling best-of-breed stacks.
Agent pricing reveals whether you're solving scarcity or creating disruption - and the market rewards these very differently.
Databricks has overtaken Snowflake in revenue. AI turned unstructured data from liability to asset, flipping the data warehouse market.
AI skills are programs written in English that give agents capabilities instantly. Like Trinity downloading a pilot program, skills encode institutional knowledge in executable form.
Salesforce, Datadog & Epic are locking down APIs. AI accelerates development, enabling incumbents to compete with partners. Platform businesses minted billions, but that ground is shifting. Here's the offensive response.
The competitive edge has shifted from adopting software to mastering how it's used. Trajectory data, the path users take through tools, is becoming the new moat for AI products.
