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.
Contrary to the popular narrative of OpenAI's dominance, analysis suggests Anthropic's quarterly ARR additions have already overtaken OpenAI's. The rapid, viral adoption of Claude Code is seen as the primary driver, positioning Anthropic to dramatically outgrow its main rival, with growth constrained only by compute availability.
Obsessing over linear model benchmarks is becoming obsolete, akin to comparing dial-up speeds. The real value and locus of competition is moving to the "agentic layer." Future performance will be measured by the ability to orchestrate tools, memory, and sub-agents to create complex outcomes, not just generate high-quality token responses.
The rapid change in perception about AI's impact wasn't caused by new models alone, but by a critical mass of technical users experiencing agentic tools firsthand. This shift from "talking" about AI's potential to "doing" real work with it, like building a website in an hour, created a cascade of recognition that abstract understanding could not achieve.
The tangible utility of agentic tools like Claude Code has reversed the "AI bubble" fear for many experts. They now believe we are "underbuilt" for the necessary compute. This shift is because agents, unlike simple chatbots, are designed for continuous, long-term tasks, creating a massive, sustained demand for inference that current infrastructure can't support.
The key to AI's economic disruption is its "task horizon"—how long an agent can work autonomously before failing. This metric is reportedly doubling every 4-7 months. As the horizon extends from minutes (code completion) to hours (module refactoring) and eventually days (full audits), AI agents unlock progressively larger portions of the information work economy.