Intelligent Autonomous Agents: The Missing Ingredient in the Autonomous Enterprise
Sam Altman, the CEO of OpenAI, predicts that there will soon be a $1 billion company with only one employee.
One human employee, that is.
Imagine it. One human CEO with an AI agent product manager that analyzes the competitive landscape and recommends features to build into a product, an AI software engineer that writes code to build those features, an AI test engineer that tests the code, and an AI marketer that writes website copy describing the features to potential customers.
Many tech leaders believe we are close to this “one person unicorn.” And having built intelligent autonomous agents for seven years and seen hundreds of millions in yearly ROI, I understand the excitement. We’re on a path toward a more autonomous future for enterprise, with AI transforming every aspect of the way we do business.
But let me fill you in on a little secret I learned while designing autonomous AI systems for dozens of Fortune 500 companies: the real cornerstone of the autonomous enterprise is the ability to make complex, nuanced decisions that take humans decades to master. These decisions require intelligence characteristics like perception, strategy, learned decision making, and deductive reasoning. Humans used to be the only ones who could make these decisions; but now, by enabling AI technologies, it’s possible to build intelligent agents that perform at a human level on high-value enterprise tasks.
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