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People incorrectly imagine AI agents planning their dream vacations, a task humans enjoy. Instead, the most valuable immediate applications will be automating unenjoyable, high-friction tasks like ordering groceries for a recipe, filling out forms, or configuring a web domain.
The biggest opportunity for AI isn't just automating existing human work, but tackling the vast number of valuable tasks that were never done because they were economically inviable. AI and agents thrive on low-cost, high-consistency tasks that were too tedious or expensive for humans, creating entirely new value.
Generative AI primarily changes an app's user interface, but agentic AI can bypass UIs entirely to complete tasks. This makes transaction-fulfillment apps, which constitute a huge portion of the market, vulnerable to being replaced by agents that act directly on a user's behalf.
The highest immediate ROI from AI agents comes from creating a better user experience for managing personal tasks and information. The most-used agent was a simple, interactive to-do list, suggesting the power of agents as a superior personal UI is more valuable initially than complex system automation.
While complex tasks are the long-term goal, agentic AI like Claude Cowork finds immediate value in simple, one-shot commands like "clean up my desktop." This provides a tangible, low-stakes demonstration of its capabilities for a broad, non-technical user base.
The tedious, repetitive, and time-consuming nature of online grocery shopping makes it the ideal beachhead for AI agents to demonstrate their value. By solving this complex task, agents can build consumer trust and habits, which will then accelerate the adoption of agentic commerce across all other categories.
The true power of agentic AI lies in abstracting away complex, multi-step consumer tasks. For instance, a user could simply state they need a medical test, and an AI agent would automatically handle insurance verification, cost calculation, provider search, and appointment booking.
Initial adoption of AI agents was driven by solving small, personal annoyances like ordering groceries, dubbed "computer errands." This low-stakes entry point helped users build familiarity and trust with the agent before graduating them to more complex, high-value professional work.
The true power of an AI agent is its capacity to handle the mundane, repetitive work that humans—both internal teams and external agencies—often neglect or de-prioritize. SaaStr couldn't find people willing to consistently manage hundreds of follow-ups, a task their AI now handles flawlessly.
Unlike generative AI (like ChatGPT) which only provides text output, agentic AI can perform actions on your behalf. It can log into accounts, click buttons, and complete multi-step tasks, shifting AI from a smart consultant to an autonomous digital assistant.
The next wave of AI is 'agentic,' meaning it can control a computer to execute commands and complete tasks, not just generate responses to prompts. This profound shift automates workflows like coding and administrative tasks, freeing humans for high-level creative and strategic work.