Investment theme

AI Software & Agents

AI raises the value of software that sits where work is done, as long as vendors are paid for what their agents deliver rather than losing the seats those agents replace.

Evidence
Gaining support
Cycles
No cycle on the clock
Valuation
Richer than its own past
Companies
9 tracked · 3 potential opportunities

Companies riding it

9 tracked
CompanyZoneValuation vs own historyWarningsThemes
ADBE Adobe Inc. Potential opportunity Deep discount 10th percentile None 1
CRM Salesforce Inc. Potential opportunity Discount 11th percentile None 1
NOW ServiceNow Inc. Potential opportunity Reference 16th percentile None 1
DDOG Datadog Inc. Above reference 75th percentile None 1
PLTR Palantir Technologies Inc. Above reference 82nd percentile None 1
PANW Palo Alto Networks Inc. Above reference 93rd percentile None 1
CRWD CrowdStrike Holdings Inc. Above reference 97th percentile None 1
MSFT Microsoft Corporation Above reference 100th percentile None 2
SNOW Snowflake Inc. Re-underwrite / risk Reference 46th percentile None 1

Zones and valuation are measurements against each company’s own history, not buy or sell instructions. See them on the stocks list →

Narratives that test it

Gaining support
  1. Enterprise AI is moving from pilots into production

    Supports the theme if it holds · Recent evidence supports the theme

    Evidence continues to support the claim as enterprises transition from experimentation to full-scale deployment. Uber's 30,000-seat rollout shows a major corporation converting a limited pilot into a company-wide operational tool. This aligns with earlier production adoption observed across financial workflows and hospital billing. However, seat distribution alone does not guarantee net savings. The central open question remains whether wide internal access will deliver measurable productivity gains that justify long-term licensing fees.

    Latest development: On October 22, 2026, Uber announced that it is rolling out ChatGPT Work company-wide to all 30,000 employees, expanding beyond an earlier, much smaller pilot of the enterprise agent.

  2. AI agents are challenging per-seat software pricing

    Challenges the theme if it holds · No recent evidence