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To combat the threat of being disintermediated by AI agents, SaaS "systems of record" like HubSpot are planning to charge for third-party access to customer data. This move is a strategy to create a new revenue stream and avoid becoming a free, commoditized data pipeline for other companies' AI tools.

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The rise of agentic coding is creating a "SaaSpocalypse." These agents can migrate data, learn different workflows, and handle integrations, which undermines the core moats of SaaS companies: data switching costs, workflow lock-in, and integration complexity. This makes the high gross margins of SaaS businesses a prime target for disruption.

Unlike the slow denial of SaaS by client-server companies, today's SaaS leaders (e.g., HubSpot, Notion) are rapidly integrating AI. They have an advantage due to vast proprietary data and existing distribution channels, making it harder for new AI-native startups to displace them. The old playbook of a slow incumbent may no longer apply.

The value in software is shifting from SaaS platforms (like CRMs) to the AI agent layer that automates work on top of them. This will turn established SaaS companies into simple data repositories, or "hooks," diminishing their stickiness and pricing power as agents can easily migrate data.

The ability for AI agents to access and operate on a SaaS platform's data is becoming critical. Companies that lock down their data risk being isolated, while those with open data APIs will become part of the new AI ecosystem, even if it means ceding the primary 'workspace' layer.

The true threat to SaaS isn't just cheap software creation, but AI agents that automate data migration between platforms. This destroys the lock-in effect of proprietary data models, turning SaaS into a low-multiple utility business where switching costs approach zero.

Joe Lonsdale advises established SaaS companies to go on offense with AI. Instead of merely defending their core product, they should build AI agents on top of their platforms to automate customer workflows. This creates new, high-margin revenue streams by helping customers reduce headcount and increase efficiency.

With AI agents in platforms like ChatGPT becoming the primary work surface, the traditional SaaS moat of owning the user interface is eroding. The most defensible position will be owning the core data as the "system of record," making the SaaS platform an essential backend database.

The traditional per-seat SaaS model is becoming a "tax on productivity" in an agent-driven world. As companies buy agents to do work instead of software for humans, the model shifts. Sam Altman's comment that every company is now an API company reflects this move from user-based pricing to value-based, programmatic access.

As companies integrate AI agents into their workflows, unrestricted API access to their own data is non-negotiable. SaaS providers that paywall or limit API access will be abandoned for more open platforms that don't hold customer data "ransom."

SaaS products like Salesforce won't be easily ripped out. The real danger is that new AI agents will operate across all SaaS tools, becoming the primary user interface and capturing the next wave of value. This relegates existing SaaS platforms to a lower, less valuable infrastructure layer.