Which Software Companies Will Turn “Agentic AI” Into Recurring Revenue

Which Software Companies Will Turn "Agentic AI" Into Recurring Revenue?

Global software spending stood at a massive $1.25 trillion, per Garner, last year.

It is currently bloated with "middleman" software. But massive reckoning may be coming: Agentic AI.

Standard AI is reactive. It waits for you to ask it. But Agentic AI is proactive. It takes a goal - such as onboarding a client and syncing their CRM - and just does it. It plans the steps, logs into the apps, fixes its own bugs, and finishes the job. By all accounts, this isn't just a new feature; it might just be an industry-wide reset.

There are a couple of ways that the old model breaks

Firstly, interfaces disappear. Software companies spent time building intuitive interfaces for humans to click. Agents don't need buttons; they use APIs. If a software relies on a human "user experience" to provide value, it's likely in trouble. The UI is becoming invisible plumbing.

The "Per-Seat" model is also likely on its last legs. Software companies have lived off headcounts for years. But if an agent does the work of five people, no one is buying five seats. Revenue is shifting to outcomes. You won't pay for the login; you'll pay $5 per resolved ticket or unit of work done.

Isolated software will become a liability. Agents need to work across multiple apps. Think moving between your email, Slack, and spreadsheets without friction. If an app doesn't play well with others, the agent will simply route around them.

To be sure, the $1.25 trillion market won't vanish, but it will consolidate. The "fluff" - the apps that just move data from point A to point B - will likely become redundant. The winners won't be the ones with the best dashboards. They'll be the ones who own the data and the smarts that execute the work. So at this juncture, which companies are well-positioned, or at least making some smart moves?

Agentic AI will also call for an explosion in compute requirements. These companies stand to benefit from the AI capex surge.

So, Which Companies Stand To Win?

The Data Owners

Software companies that own critical enterprise data stand to benefit most from agentic AI, as effective agents rely on rich, real-time access to information stored in these platforms to make smart decisions and take actions.

Salesforce (-26% YTD) is a leading CRM provider that helps businesses manage customer relationships, sales, service, and marketing through its cloud platform. With Agentforce, it aggressively monetizes agents by shifting to a "consumption + subscription" model - using Agentic Work Units to charge based on successful task completions and actual agent activity, rather than just human logins.

ServiceNow (-24% YTD) specializes in digital workflow platforms, primarily for IT service management, HR, customer service, and enterprise operations. It positions itself as a central AI hub, integrating agents via Now Assist to autonomously resolve issues and orchestrate cross-department workflows. Revenue scales via premium upgrades and add-ons that deliver these autonomous capabilities with reduced human involvement.

Palantir (-12% YTD) offers platforms that integrate and analyze vast data for complex decisions in government and major businesses. Its Artificial Intelligence Platform (AIP) delivers scalable agentic AI for high-stakes tasks - like faster mortgage approvals and real-time supply chain optimization. They skip the "per-seat" trap entirely, working on long-term enterprise contracts paid for measurable business gains (e.g., cost reductions, speed improvements), not per user.

The Infrastructure & Platform Play

These companies provide the tools for other businesses to build their own agents.

Microsoft (-19% YTD) is a leading provider of cloud computing (Azure), productivity tools (Microsoft 365/Office), and enterprise software, enabling businesses to collaborate, analyze data, and run applications securely. With Copilot Studio as a full-scale agentic platform, it monetizes agents through recurring Azure consumption-based charges (for every agent run or action) plus specialized add-on licenses that let companies build, customize, govern, and deploy autonomous agents integrated across the 365 ecosystem.

Snowflake (-20% YTD) is a cloud data platform specializing in data warehousing, analytics, and sharing, allowing organizations to manage databases without traditional infrastructure hassles. Through Project SnowWork - an autonomous AI platform - it monetizes the agent execution layer by powering data-grounded agents directly on its infrastructure, driving revenue from increased compute usage for planning/analysis/execution workflows and premium AI service tiers that enable outcome-driven automation for business users.

The Automation Specialists