{"id":6451,"date":"2026-01-13T14:30:00","date_gmt":"2026-01-13T22:30:00","guid":{"rendered":"https:\/\/www.golinks.com\/blog\/?p=6451"},"modified":"2026-04-27T13:03:20","modified_gmt":"2026-04-27T20:03:20","slug":"ai-knowledge-management","status":"publish","type":"post","link":"https:\/\/www.golinks.com\/blog\/ai-knowledge-management\/","title":{"rendered":"7 Key Ways AI Will Transform Knowledge Management in 2026\u00a0"},"content":{"rendered":"\n

The increase in AI tools and features has changed the knowledge management game. <\/p>\n\n\n\n

Traditionally, enterprise knowledge management systems have required meticulous organization and constant updates. <\/p>\n\n\n\n

Now we have AI that not only organizes data for us, but learns from it, anticipates needs, and adapts on the fly. We don\u2019t need to waste time searching through endless folders or scrolling through long documents. With AI, knowledge comes to us \u2014 instantly! <\/p>\n\n\n\n

Think about it: AI-powered tools<\/a> can now analyze mountains of data faster than you can say “Google it.” They’re not just organizing information; they’re actually learning from it. Whether it’s spotting trends, making predictions, or just helping you find that report from last year.<\/p>\n\n\n\n

Want to know how you can use AI for better knowledge management<\/a>? <\/p>\n\n\n\n

We talked to tech leaders who are using AI and creating AI tools to improve knowledge management. Here are some of their insights on the upcoming year. <\/p>\n\n\n\n

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How AI will transform enterprise knowledge management in 2026<\/h2>\n\n\n\n

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1. There will be a rise in human knowledge curators<\/h3>\n\n\n\n

Greg Sabo<\/a>, Engineering Lead for AI Experiences at Asana<\/a>, believes AI is becoming \u201ca force multiplier for organizational knowledge\u201d this year. But how will AI properly handle all the information we\u2019re feeding it? Human knowledge curators<\/a>. <\/p>\n\n\n\n

Since we\u2019re now having AI find, rephrase, and personalize content for each reader\u2019s specific needs, we will need humans who know how to feed AI information in the right way. <\/p>\n\n\n\n

Greg shares, \u201cThere will be a new need to capture and organize knowledge in ways that are useful to AI agents so that they can automatically complete simple tasks in support of human work.\u201d Human knowledge curators will \u201cbe the ones who create and tune documentation for bots and AI-powered retrieval systems.\u201d<\/p>\n\n\n\n

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\"Greg<\/figure><\/div>\n\n\n
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\u201cIn the year ahead, we’ll see the rise of human knowledge curators who create and tune documentation for bots and AI-powered retrieval systems.\u201d<\/p>\n\u2014 Greg Sabo, Engineering Lead for AI Experiences at Asana<\/cite><\/blockquote>\n\n\n\n

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2. Enterprises will now have their own internal \u2018Google\u2019 <\/h3>\n\n\n\n

Jorge Zamora<\/a>, founder of GoLinks<\/a>, believes that with the rise of AI, any company will now have the ability to create their own internal \u201cGoogle\u201d experience. <\/p>\n\n\n\n

To help companies achieve this, Jorge recently launched GoSearch<\/a>: an AI-powered enterprise search software tool<\/a>. GoSearch is designed to surface any company resource and answer any work question with a simple search query. <\/p>\n\n\n\n

After talking with GoLinks customers, Jorge discerned their need for a Google-like experience \u2013 the ability to locate information swiftly with a single search. <\/p>\n\n\n\n

Thanks to AI search tools, employees can effortlessly access the relevant knowledge and information vital for their day-to-day tasks. These AI tools connect to all your workplace apps and existing knowledge management tools to centralize information. <\/p>\n\n\n\n

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\"Jorge<\/figure><\/div>\n\n\n
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\u201cWith AI, we\u2019re combining both of the key things that you need to be successful: your own personal documents, and your company\u2019s knowledge \u2013 in a single search box.\u201d<\/p>\n\u2014 Jorge Zamora, CEO and Founder of GoLinks<\/cite><\/blockquote>\n\n\n\n

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3. AI-powered chatbots will be a game-changer<\/h3>\n\n\n\n

Jon Morgan, CEO of Venture Smarter<\/a>, has been using AI for knowledge management within his consulting company \u2014 and one of his favorite tools is AI chatbots<\/a>. <\/p>\n\n\n\n

One study<\/a> by Boston Consulting Group found that internal AI chatbots significantly enhanced workplace productivity. Employees who engaged with the chatbot completed tasks 12.2% more, 25.1% faster, and 40% better than non-users.<\/p>\n\n\n\n

\u201cAI-powered chatbots are like having a knowledgeable colleague available 24\/7,\u201d Jon shares. \u201cThey can answer questions, provide guidance, and even offer training on-demand, all without needing a coffee break.\u201d <\/p>\n\n\n\n

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\u201cAI-powered chatbots are like having a knowledgeable colleague 24\/7.\u201d<\/p>\n\u2014 Jon Morgan, CEO of Venture Smarter<\/cite><\/blockquote>\n\n\n\n

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4. RAG and embeddings will be key AI features to look for <\/h3>\n\n\n\n

When asked what AI functionalities he saw impacting knowledge management, Greg Sabo, Engineering Lead for AI Experiences at Asana, said to look out for RAG and embeddings.<\/p>\n\n\n\n

RAG (Retrieval-Augmented Generation<\/a>) integrates retrieval-based and generative models in natural language processing. It enables the model to access and incorporate external knowledge sources during text generation, resulting in more contextually relevant outputs.<\/p>\n\n\n\n

In other words, Greg explains that it \u201cgives AI access to accurate, up-to-date information when generating answers to questions. This will allow chatbot interfaces to access a broad library of content so that users can trust that information is accurate.\u201d <\/p>\n\n\n\n

Embeddings<\/a> refer to the representation of words, phrases, or sentences in a continuous vector space. In generative AI, embeddings are like secret codes that represent words or sentences in a way that computers can understand. These codes help AI models understand the meaning and context of words.<\/p>\n\n\n\n

Greg shares that \u201cHistorically, people would often spend time thoroughly documenting an article that doesn’t get read simply because it was titled with something like “campaign” rather than “marketing.”\u2019 With embeddings, gen AI can read between the lines, so to speak, to surface what the reader is really looking for.<\/p>\n\n\n\n

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\u201cEmbeddings will continue to be highly relevant, often combined with RAG systems, to help users find articles based on what they mean rather than what they say.\u201d<\/p>\n\u2014 Greg Sabo, Engineering Lead for AI Experiences at Asana<\/cite><\/blockquote>\n\n\n\n

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5. Knowledge base updates will happen in real-time <\/h3>\n\n\n\n

Alari Aho<\/a>, CEO and Founder at Toggle Inc<\/a>, is constantly exploring how emerging technologies like AI can redefine their approach to productivity and knowledge management. Here’s how he sees AI transforming the 2026 landscape: <\/p>\n\n\n\n

“In 2026, AI will enable real-time updates to knowledge bases, ensuring that information stays current with the latest industry trends, technologies, and best practices. By continuously scanning a multitude of sources and learning from user interactions, AI can identify knowledge gaps and fill them without human intervention.” <\/p>\n\n\n\n

He adds, “This ongoing, automated curation process means that SaaS companies can maintain a cutting-edge knowledge base that evolves in lockstep with the industry, providing teams with instant access to the latest insights.”<\/p>\n\n\n\n

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\"Alari<\/figure><\/div>\n\n\n
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\u201cIn 2026, AI will enable real-time updates to knowledge bases, ensuring that information stays current with the latest industry trends, technologies, and best practices.\u201d<\/p>\n\u2014 Alari Aho, CEO and Founder, Toggle Inc <\/cite><\/blockquote>\n\n\n\n

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6. AI data will improve decision-making <\/h3>\n\n\n\n

Valentin Radu<\/a>, CEO and Founder at Omniconvert<\/a> believes AI is set to radically change data-based decision-making. <\/p>\n\n\n\n

“Through AI, analyzing huge piles of customer data quickly will help companies get to know what their customers want more accurately, predicting future needs better. This will allow SaaS businesses to fine-tune their offerings to match what each customer is looking for, leading to better customer experiences and stronger loyalty.<\/p>\n\n\n\n

The use of AI to predict and analyze will also make it easier for teams to access and use knowledge efficiently, promoting both innovation and smoother workflows. Coming from a background where the value of each customer over time is key, I believe AI will be crucial in getting a deeper insight into customer habits, ensuring our strategies remain ahead of the curve.”<\/p>\n\n\n\n

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\"Valentin<\/figure><\/div>\n\n\n
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\u201cIn 2026, AI is set to radically change how SaaS companies manage knowledge by putting a stronger emphasis on making decisions based on data.\u201d<\/p>\n\u2014Valentin Radu, CEO and Founder at Omniconvert <\/cite><\/blockquote>\n\n\n\n

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7. AI will personalize knowledge recommendations <\/h3>\n\n\n\n

Cache Merrill<\/a>, Founder at Zibtek<\/a>, shares how he thinks AI will revolutionize knowledge management in 2026 by transforming how we store, access, and utilize knowledge. Here are some of the key changes he thinks we can expect: <\/p>\n\n\n\n

“AI-Driven Personalization: AI will tailor knowledge delivery based on individual roles and past interactions, streamlining access to relevant information and boosting productivity.<\/p>\n\n\n\n

Automated Content Curation: Through identifying content gaps and usage patterns, AI will automate the updating of knowledge bases, ensuring that information remains current and comprehensive.<\/p>\n\n\n\n

Enhanced Collaborative Learning: AI will foster a collaborative learning environment by recommending projects based on collective knowledge interactions, promoting continuous improvement.<\/p>\n\n\n\n

Predictive Analytics for Knowledge Gaps: By analyzing data trends, AI will anticipate knowledge gaps, allowing companies to proactively address potential issues.”<\/p>\n\n\n\n

For those looking to leverage AI more effectively, exploring different AI Prompt<\/a> <\/strong>options can be a great starting point. These prompts can guide AI tools to produce more relevant and useful content for your needs.<\/p>\n\n\n\n

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\"Cache<\/figure><\/div>\n\n\n
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\u201cAI will tailor knowledge delivery based on individual roles and past interactions, streamlining access to relevant information and boosting productivity.\u201d<\/p>\n\u2014Cache Merrill, Founder at Zibtek<\/cite><\/blockquote>\n\n\n\n

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Top generative AI knowledge management software for 2026<\/h2>\n\n\n\n

If you\u2019re looking for a new knowledge management platform that leverages AI, here\u2019s a list to check out. <\/p>\n\n\n\n

Knowledge Base <\/h3>\n\n\n\n