How Google And AI Upended 1990s Knowledge Management

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In the early 1990s, firms like McKinsey and Ernst & Young pioneered knowledge management (KM) approaches focused on capturing and sharing internal expertise. However, the launch of Google in 1998 ushered in a radically different approach to managing knowledge. Google aimed to 'organize all the world's information and make it useful', leveraging algorithms, user feedback, and a massive scale that dwarfed the capabilities of 1990s KM. The rise of AI in the 2020s further amplified Google's advantages, enabling real-time access to vast troves of external data and delivering personalized knowledge at a global scale.

Why it matters

The shift from 1990s-style KM to the Google/AI model has had a profound impact on how organizations and individuals access and leverage knowledge. While the earlier KM approaches were limited to internal resources, the Google/AI model taps into the entire world's information, providing vastly more comprehensive and up-to-date knowledge. This has transformed how people find, validate, and apply information, with far-reaching implications across industries and domains.

The details

The 1990s KM model focused on capturing and sharing explicit knowledge within organizations, through internal repositories, intranets, and communities of practice. In contrast, Google's approach emphasized discovering and delivering external knowledge through web search, APIs, and partnerships. Additionally, Google leveraged algorithms, user feedback, and real-time data to continuously improve its knowledge delivery, rather than relying on static, manually curated content. The rise of AI in the 2020s further amplified Google's advantages, enabling access to 400 billion interlinked web pages and the ability to handle billions of daily queries, far surpassing the scale and responsiveness of 1990s KM.

• In the early 1990s, the arrival of the Internet sparked a new interest in 'managing knowledge' within organizations.
• In 1998, Larry Page and Sergey Brin launched Google with the goal of 'organizing all the world's information and making it useful'.
• In the 2020s, the rise of AI further enhanced Google's knowledge management capabilities, enabling real-time access to vast troves of external data and personalized knowledge delivery at a global scale.