These explosive adoption rates at the individual level raise a critical question: Are organizations moving quickly enough to take advantage of this transformation? Or will the increased adoption at the personal level pave the way for greater AI usage at work?<\/p>\n\n\n\n
In this edition of ClickUp Insights, 30,000 people share how they use AI in their everyday lives, as well as the most common use cases and barriers to AI adoption at work. Their answers tell a compelling story!<\/p>\n\n\n\n
\u23f0 60-Second Summary<\/strong><\/h2>\n\n\n\n\ud83d\udceeClickUp Insight:\u00a0<\/strong>Our data shows that 88% of people now use AI in some form, with an impressive 55% using it multiple times a day. However, when it comes to using AI at work, over 50% of our respondents don\u2019t feel confident about using AI.<\/p>\n\n\n<\/div>\n\n\nAI adoption is accelerating everywhere. But gaps remain, especially at work.<\/p>\n\n\n\n
One possible reason: AI integration within workplace tools isn’t seamless enough.<\/p>\n\n\n\n
Instead of becoming the engine that drives our work, AI remains a sidecar<\/strong>\u2014bolted on but disconnected from the tools where work actually happens, like email, chat, or project workflows.<\/p>\n\n\n\nThis makes AI far less powerful than it could be.<\/p>\n\n\n\n
Despite the widespread availability of AI within productivity tools<\/strong>, such as Microsoft Copilot or Google\u2019s Workspace AI, only 12% of our respondents<\/strong> say they use such integrated AI features frequently, highlighting fragmented adoption and untapped potential.<\/p>\n\n\n\nAs we investigate AI usage patterns, we’ll discuss how current implementation gaps affect knowledge workers. Our data reveals three central themes:<\/p>\n\n\n\n
1\ufe0f\u20e3 Conversational AI is winning: <\/strong>62% of our survey respondents prefer standalone, chat-based AI tools, while only 12% primarily use AI integrated into workplace software<\/p>\n\n\n\n2\ufe0f\u20e3 Training and trust barriers: <\/strong>27% need more training to use AI effectively, while 22% have privacy or trust concerns<\/p>\n\n\n\n3\ufe0f\u20e3 A fragmented tool landscape extracts a \u2018toggle tax\u2019: <\/strong>Users juggle multiple AI applications for different tasks, adding to the context-switching costs of working across multiple platforms<\/p>\n\n\n\nSurvey methodology and demographics<\/strong> <\/h3>\n\n\n\nClickUp Insights<\/a><\/strong>\u00a0surveys thousands of knowledge workers and productivity enthusiasts every month to bring you the latest trends in the global workplace.\u00a0<\/p>\n\n\n\nOur research delves into how professionals manage their time, navigate workplace demands, and implement productivity strategies. By analyzing responses from participants worldwide, we seek to uncover universal productivity challenges and patterns, helping organizations and individuals make more informed decisions in their daily work lives.<\/p>\n\n\n<\/div>\n\n\n
4 Key Trends Shaping AI Usage in Our Workplaces<\/strong><\/h2>\n\n\n\nAnswers from over 30,000 survey respondents uncovered four key trends that reveal\u2014not just how they’re using AI today\u2014but how they want it to transform their work tomorrow. <\/p>\n\n\n\n
Let’s explore where AI is already making waves and where it still has some catching up to do! <\/p>\n\n\n\n
Everything everywhere: the growing footprint of AI<\/strong><\/h3>\n\n\n\n\ud83d\udcee ClickUp Insight:\u00a0<\/strong>88% of respondents use AI in some form, with more than half (55%) engaging with AI tools multiple times daily.<\/p>\n\n\n<\/div>\n\n\nThe shift from “What is AI?” to “How do I use AI for X use case?” happened faster than anyone predicted. <\/p>\n\n\n\n
88% of our survey respondents<\/strong> say they use AI in some form, which is a strong indicator of its ubiquity. This rapid adoption also represents an inflection point for knowledge workers.<\/p>\n\n\n\nTech leaders like Satya Nadella have compared AI to other breakthrough workplace technologies, such as PCs, email, and spreadsheets<\/a>. <\/strong><\/p>\n\n\n\n\u201cAt ClickUp, our mission has always been to save people time. AI tools are everywhere, but none are saving you time through every step of your work day. ClickUp Brain is deeply embedded in the place you do work; it bridges the gaps and connects the dots across your work, your communication, and your knowledge. ClickUp Brain is here to save you time and eliminate work about work.\u201d<\/p><\/blockquote>![\"zeb](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2020\/11\/screenshot-www.canva_.com-2020.11.27-16_29_49.png\")
Zeb Evans<\/cite>,\u00a0<\/span>CEO and Founder, ClickUp<\/span><\/figcaption><\/figure><\/div>\n\n\n\nWhat\u2019s even more interesting is people\u2019s openness to this breakthrough technology<\/strong>. Many are ready for the upgrade. 55% of our respondents<\/strong> use AI several times a day, with potential use cases ranging from content creation to brainstorming.<\/p>\n\n\n\nHowever, a small percentage of respondents (12%) don\u2019t use AI at all.<\/strong> This could point to a group that\u2019s either not ready to embrace it or simply doesn\u2019t see the need yet. <\/p>\n\n\n\nKey findings<\/strong><\/h4>\n\n\n\n\n- 55% of respondents use AI tools several times during the day<\/li>\n\n\n\n
- 14% engage with AI occasionally<\/li>\n\n\n\n
- 12% haven’t started using AI tools yet<\/li>\n\n\n\n
- 11% turn to AI tools a few times each week<\/li>\n\n\n\n
- 8% rely on AI tools at least once a day<\/li>\n<\/ul>\n\n\n\n
![\"How](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-762.png\")
<\/figure>\n\n\n\n\u2757\ufe0fPulse check: <\/strong>AI adoption at the workplace hit a turning point in 2024, according to the State of AI report from McKinsey<\/a>. After plateauing at 50% for over six years, adoption rates suddenly surged to 72% in early 2024,\u00a0<\/span>indicating that companies are bullish on accelerating their AI transformation.<\/a><\/p>\n\n\n<\/div>\n\n\nAll in all, AI is now indisputably mainstream. But<\/strong> just how fast is this adoption?<\/strong> To put it into perspective, let\u2019s look at the timeline of DeepSeek\u2019s launch. <\/p>\n\n\n\nSince going live on January 10, 2025, DeepSeek surpassed ChatGPT by January 27 to become the most downloaded free app on the U.S. iOS App Store. By the end of January 2025, DeepSeek had already reached 33.7 million monthly active users and 22.15 million daily active users<\/a> worldwide. <\/p>\n\n\n\nKey takeaways<\/strong><\/h4>\n\n\n\n\ud83d\udccc The rapid adoption of AI tools shows strong mainstream acceptance. Organizations are catching on, with leaders looking to AI as the next breakthrough technology in the workplace<\/p>\n\n\n\n
\ud83d\udccc The meteoric rise of new AI tools like DeepSeek (reaching 33.7M monthly active users within weeks) suggests that users are actively seeking and adopting AI solutions that best fit their needs<\/p>\n\n\n\n
\ud83d\udccc With the right application of AI in the workplace, knowledge workers can potentially become orchestrators, managers, and directors of AI agents that do the work\u2014instead of directly performing the ‘knowledge tasks’ themselves<\/p>\n\n\n<\/div>\n\n\n
Potential vs. adoption: AI in the workplace<\/strong><\/h3>\n\n\n\n\ud83d\udcee ClickUp Insight:\u00a0<\/strong>We found that 62% of respondents prefer conversational AI tools like ChatGPT and Claude, while only 12% regularly use AI features built into productivity tools. This could be a result of knowledge gaps, security concerns, or lack of an explicit value-add.<\/p>\n\n\n<\/div>\n\n\nAI continues to make waves in the workplace, though not always in the way we might expect. <\/p>\n\n\n\n
According to the Future of Jobs Report 2025<\/a>, 41% of companies worldwide<\/strong> plan to reduce their workforce by 2030 with the help of AI-assisted workflows, and 62% are looking to recruit more people with skills to work alongside AI better. <\/p>\n\n\n\nSeveral business leaders, including Mark Zuckerberg<\/a>, have already stated that they will heavily incorporate AI into their staffing plans going forward. <\/p>\n\n\n\nBut what about the<\/strong> average knowledge worker<\/strong>? Here’s what we found!<\/p>\n\n\n\n62% of our respondents<\/strong> said they prefer using conversational AI tools like ChatGPT and Claude <\/strong>the most at work.<\/p>\n\n\n\nThe familiar chatbot-like interface, natural language processing, and interactive nature of these tools likely indicate a low barrier to entry. Users may also value the back-and-forth exchange and ability to use prompt chaining,<\/strong> which helps them work through a variety of tasks and challenges in real time. <\/p>\n\n\n\nOn the flip side, AI features built into productivity tools don\u2019t seem to be making the same impact. Despite being embedded in familiar platforms like Microsoft Copilot<\/strong> and Google Workspace AI<\/strong>, only 12% of respondents<\/strong> say they use these features frequently. <\/p>\n\n\n\nThis points to two possible reasons:<\/p>\n\n\n\n
\u27a1\ufe0f People are not yet fully aware of how AI can enhance their existing workflows
\u27a1\ufe0f The current integrations aren\u2019t seamless or comprehensive enough to become a core part of their routine<\/p>\n\n\n\n
This gap in adoption may also explain why 16% of people<\/strong> don\u2019t use AI regularly in their work at all. If they\u2019re stuck switching between different tools\u2014<\/strong>AI and their regular work platforms\u2014adopting the tool may feel like more trouble than it\u2019s worth. Not to mention security concerns about sensitive workplace data.<\/p>\n\n\n\nKey finding<\/strong>s<\/h4>\n\n\n\n\n- 62% of survey respondents primarily rely on conversational AI tools like ChatGPT and Claude at work<\/li>\n\n\n\n
- 16% have yet to incorporate AI tools into their regular workflow<\/li>\n\n\n\n
- 12% mostly use AI features embedded in productivity tools, such as Microsoft Copilot and Google Workspace AI<\/li>\n\n\n\n
- 6% favor automated AI assistants, including AutoGPT and AgentGPT<\/li>\n\n\n\n
- 4% mainly interact with voice assistants like Siri, Alexa, and Google Assistant<\/li>\n<\/ul>\n\n\n\n
![\"Which](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-763.png\")
<\/figure>\n\n\n\nKey takeaways<\/strong><\/h4>\n\n\n\n\ud83d\udccc Users prefer conversational AI tools that are flexible enough to perform many types of tasks rather than narrowed-down, niche AI features locked inside specific tools<\/p>\n\n\n\n
\ud83d\udccc AI tools need two essential elements to drive adoption: exceptional user experience and instant (visible) value for every interaction<\/p>\n\n\n\n
\ud83d\udccc The low adoption rate of built-in AI features in productivity tools (12%) suggests that the technology may not be seamlessly integrated into the core capabilities of these platforms<\/p>\n\n\n<\/div>\n\n\n
The use case gap: how we\u2019re using AI vs. what we really want<\/strong><\/h3>\n\n\n\n\ud83d\udceeClickUp Insight:\u00a0<\/strong>While 67% of users primarily use AI for tasks like content creation (37%) and research (30%), 33% of our survey respondents want AI to help them with more advanced use cases like skill development.<\/p>\n\n\n<\/div>\n\n\nIt\u2019s honestly a little surprising how much AI could<\/em> do, but isn\u2019t always being asked to. <\/span><\/p>\n\n\n\nBased on our findings, 37%<\/strong> of people are turning to AI for content creation<\/strong>\u2014writing, editing, and <\/span>emails. Another 30%<\/strong> rely on it for research<\/strong> and information gathering.<\/p>\n\n\n\nKey findings<\/strong><\/h4>\n\n\n\n\n- 37% use AI mainly for content creation, from writing and editing to crafting emails<\/li>\n\n\n\n
- 30% rely on AI for research and gathering information<\/li>\n\n\n\n
- 11% turn to AI primarily for brainstorming and generating new ideas<\/li>\n\n\n\n
- 7% use AI to streamline task management and stay organized<\/li>\n\n\n\n
- 15% haven’t yet integrated AI tools into their workflow<\/li>\n<\/ul>\n\n\n\n
![\"What](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-861.png\")
<\/figure>\n\n\n\nThese are great use cases, but when we look at what people want<\/em> AI to do, it\u2019s clear they\u2019re hoping for more. <\/p>\n\n\n\nFor instance, 33%<\/strong> of our survey respondents want AI to help them grow their skills<\/strong>, and 21%<\/strong> want it to help them with meetings, emails, and projects. Needs that are evidently not being met.<\/p>\n\n\n\nKey findings<\/strong><\/h4>\n\n\n\n\n- 33% think that AI can help them grow their skills (learning, practicing, improving)<\/li>\n\n\n\n
- 21% believe AI can help them crush it at work (meetings, emails, projects)<\/li>\n\n\n\n
- 18% think AI can help them keep their life organized (calendar, tasks, reminders)<\/li>\n\n\n\n
- 15% want AI to help them take care of the small things (routine tasks, admin work)<\/li>\n\n\n\n
- 13% look to AI to help them tackle the tough stuff (decisions, problem-solving)<\/li>\n<\/ul>\n\n\n\n
![\"If](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-765.png\")
<\/figure>\n\n\n\nA connected AI, which has access to the data, workflows, and necessary automation features<\/strong>, is the ideal way to cater to all of these use cases.<\/p>\n\n\n\nFor instance, to appease the 18%<\/strong> of individuals who wish AI could help them stay organized by managing tasks, reminders, and schedules, you\u2019d typically need several apps, including a calendar app, a task management app, and an AI integration. A single, multi-purpose AI tool could bridge that gap.<\/p>\n\n\n\nThis brings us back to the current state of AI. <\/strong>It remains fragmented despite evidence suggesting that AI tools must be deeply integrated into project management, knowledge management, and communication to deliver value in the workplace.<\/p>\n\n\n\nHere, we see evidence of another yawning gap between businesses and users. \ud83d\udc47<\/p>\n\n\n
\n\u2757\ufe0fPulse check:<\/strong> According to PwC’s October 2024 Pulse Survey,<\/a> 49% of technology leaders claim that AI is fully integrated into their core strategy, with one-third saying that the technology is fully integrated into their products and services.<\/p>\n\n\n<\/div>\n\n\nSo why aren\u2019t users biting? The answer may lie in a chronic lack of context.<\/strong><\/p>\n\n\n\nAt present, most AI tools lack the data\/context\/connectivity<\/strong> they need to integrate themselves into users’ work lives and drive real improvements across multiple interconnected use cases.<\/p>\n\n\n\nThis happens because companies often bund<\/span>le AI features into products instead of truly integrating them into workflows<\/strong>. The result? Disconnected experiences that require users to manually bridge contextual gaps instead of leveraging AI that understands their entire process.<\/p>\n\n\n\nFor example, an AI meeting assistant that simply transcribes conversations but doesn’t connect to project management tools, prior discussions, or upcoming deadlines remains a feature rather than a workflow solution.<\/strong><\/p>\n\n\n\nHere\u2019s what Jeff Dean, Google’s Chief Scientist<\/a>, says about context:<\/p>\n\n\n\n\u201c… the problem with that is you\u2019re building these narrowly defined systems that can do one thing and do it extremely well, or do a handful of things. And what we really want is a system that can do a hundred thousand things, and then when the hundred thousand-and-first thing comes along that it\u2019s never seen before, we want it to learn from its experience to be able to apply the experience it\u2019s gotten in solving the first hundred thousand things to be able to learn how to do thing hundred thousand-and-one quickly.\u201d<\/p><\/blockquote>Jeff Dean<\/cite>,\u00a0<\/span>Extract from Voices in AI podcast, Episode 4<\/span><\/figcaption><\/figure><\/div>\n\n\n\nKey takeaways<\/strong><\/h4>\n\n\n\n\ud83d\udccc Users want AI to be more deeply integrated into their professional development and daily workflows, with around 50% seeking AI assistance for core work activities like meetings and project management as well as professional development<\/p>\n\n\n\n
\ud83d\udccc Most AI tools excel at isolated tasks but lack the contextual awareness and interconnectedness necessary to truly deliver value at work. This fragmented approach hinders their ability to provide comprehensive, holistic support for complex use cases<\/p>\n\n\n\n
\ud83d\udccc Companies frequently fall into the trap of bundling AI features into their products without meaningfully connecting them to existing workflows, creating more contextual gaps in the process<\/p>\n\n\n<\/div>\n\n\n
Barriers decoded: what\u2019s keeping people away from AI?<\/strong><\/h3>\n\n\n\n\ud83d\udceeClickUp Insight:<\/strong>\u00a0Among the 88% of respondents who use AI, <\/strong>only 34% of users trust AI completely, while 27% need more training, and 23% don’t know where to start.<\/p>\n\n\n<\/div>\n\n\nA common thread across our AI survey responses? Between 8% and 18%<\/strong> of respondents say that they don\u2019t use AI regularly or actively avoid it. <\/p>\n\n\n\nSo, what\u2019s keeping these users away from AI despite its near-ubiquity?<\/p>\n\n\n\n
First, a large portion of people\u201423%<\/strong>\u2014aren\u2019t sure where to start with AI. Users may find it overwhelming to navigate the sheer number of AI-powered tools available in the market or might wonder about<\/span> the value these tools bring to existing workflows. <\/strong><\/p>\n\n\n\nThen, there are the 27%<\/strong> who say they need more training to use AI effectively. In this scenario, people can see the potential<\/strong>, but they feel that they don\u2019t quite know how to use AI to its full advantage.<\/p>\n\n\n\nKey findings<\/strong><\/h4>\n\n\n\n\n- 28% are already using AI regularly<\/li>\n\n\n\n
- 27% need more training for advanced use<\/li>\n\n\n\n
- 23% aren’t sure where to start<\/li>\n\n\n\n
- 11% worry about privacy<\/li>\n\n\n\n
- 11% don’t fully trust AI<\/li>\n<\/ul>\n\n\n\n
![\"What's](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-862.png\")
<\/figure>\n\n\n\nAnd let\u2019s not forget about trust\u2014both in terms of security and accuracy. 11%<\/strong> are worried about privacy, and another 11%<\/strong> don\u2019t fully trust AI yet. <\/p>\n\n\n\nOn the other hand, 38%<\/strong> are open to using AI but prefer to double-check its work. It\u2019s clear that for some, this caution stems from a lack of confidence in AI\u2019s accuracy or reliability.<\/p>\n\n\n\nKey findings<\/strong><\/h4>\n\n\n\n\n- 38% are open to AI but double-check its work<\/li>\n\n\n\n
- 34% trust AI and use it confidently<\/li>\n\n\n\n
- 15% are still exploring when AI can be most helpful<\/li>\n\n\n\n
- 8% prefer to avoid using AI when possible<\/li>\n\n\n\n
- 5% choose to handle most tasks themselves<\/li>\n<\/ul>\n\n\n\n
![\"How](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-766.png\")
<\/figure>\n\n\n\n\u2757\ufe0fPulse check:<\/strong> The Make it Fair <\/a>campaign, driven by the UK’s creative industries, further highlights the need for double-checking AI-generated output. Designed to address the issue of generative AI models using copyrighted material without permission or fair compensation, the initiative aims to protect creators’ rights via enhanced copyright laws and robust policies. <\/p>\n\n\n<\/div>\n\n\nSo, for the folks still hesitant to fully embrace AI, many of the barriers seem to boil down to three main factors: uncertainty about where to start, a lack of training, and concerns about privacy and trust<\/strong>. <\/p>\n\n\n\nThese findings also suggest that people are not fundamentally opposed to AI\u2014they just need a little more support and reassurance before it can become a regular part of their routine.<\/p>\n\n\n
\nKey takeaways<\/strong><\/h4>\n\n\n\n\ud83d\udccc The high percentage of users who double-check AI-generated output (38%) suggests a need for better accuracy validation tools and transparency in how AI makes decisions<\/p>\n\n\n\n
\ud83d\udccc A significant knowledge gap exists, as nearly half of users report needing AI training (27%) or feeling unsure how to begin (23%). This highlights an urgent need for structured AI onboarding and educational resources<\/p>\n\n\n\n
\ud83d\udccc Privacy and trust concerns surrounding AI tools (22%) can be dispelled by putting better security measures and reliability metrics in place <\/p>\n\n\n<\/div>\n\n\n
Our 4 Strategic Recommendations<\/strong><\/h2>\n\n\n\nFact check: <\/strong>Our survey reveals that 12% of respondents never use AI tools, 11% don’t fully trust AI, another 11% are concerned about privacy, and 15% are still figuring out when to use AI. Meanwhile, only 12% primarily use AI integrated into workplace software, highlighting a significant gap between personal and organizational adoption.<\/p>\n\n\n<\/div>\n\n\nDespite widespread personal AI adoption, organizations face significant barriers to implementing AI effectively, creating a growing disconnect between personal adoption and organizational readiness.<\/p>\n\n\n\n
The key challenges we’ve uncovered from the data include fragmented tool adoption, insufficient training, trust barriers, and limited or ineffective workplace integration.<\/strong><\/p>\n\n\n\nTo bridge this gap, organizations need to match people’s willingness to embrace AI with a clear plan for bringing it into the workplace<\/strong>. Here are four strategic recommendations to accelerate your organization’s AI transformation:<\/p>\n\n\n\n\u2705 Unify the AI toolkit<\/strong><\/h4>\n\n\n\nInstead of letting employees create personal workarounds, develop a consolidated AI infrastructure that integrates with existing workflows. Look for solutions that combine the conversational interface users prefer (62% preference) with robust workplace tool integration. For example, simplify knowledge management with a chat-based AI interface that instantly pulls up information from anywhere in your workspace.<\/p>\n\n\n\n
\u2705 Build an AI-ready workforce<\/strong><\/h4>\n\n\n\nAddress the training gap, highlighted by 27% of people, via a comprehensive AI literacy program. Focus on practical use cases, safety protocols, and best practices for AI tool selection. Create “AI champions” within teams to accelerate peer learning and adoption.<\/p>\n\n\n\n
\u2705 Establish trust through transparency<\/strong><\/h4>\n\n\n\nCombat the trust deficit by developing clear AI governance frameworks. Implement data handling policies, establish usage guidelines, and create feedback loops for continuous improvement. Show your employees exactly how AI tools handle sensitive information and which tools are approved for use at work. <\/p>\n\n\n\n
\u2705 Make AI your workflow’s foundation<\/strong><\/h4>\n\n\n\nMake AI a foundational element at work. Start with your most important workflows and reimagine them with AI at their core. The key is making AI feel less like a separate tool and more like the invisible force that keeps work moving. It should be quietly running your projects in the background, connecting your tools, and moving work forward 24\/7.<\/p>\n\n\n\n
How Can ClickUp Help?<\/strong><\/h2>\n\n\n\nThe promise of AI often falls short in the workplace. <\/p>\n\n\n\n
Traditional work tools leave AI capabilities as an afterthought, making them feel bolted-on and disconnected. <\/p>\n\n\n\n
The result? Teams now struggle with fragmented AI features<\/strong> that don’t understand the context of the work, leading to generic outputs and wasted time tweaking prompts. <\/p>\n\n\n\nAs the everything app for work, ClickUp brings intelligent assistance to every corner of your workspace with a contextually aware<\/strong><\/span> AI.<\/strong> Here are four ways ClickUp’s AI transforms your work:<\/p>\n\n\n\n![\"\"](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/03\/image.avif\")
<\/figure><\/div>\n\n\n\ud83c\udfc1 Conversational AI that knows your context<\/strong> <\/h4>\n\n\n\nClickUp Brain<\/a> combines the familiar chat interface <\/strong>people love with deep workspace awareness. Whether you want to brainstorm, problem-solve, or analyze data, <\/strong>ClickUp Brain can help with a wide variety of use cases right from your workspace. <\/p>\n\n\n\nBest part? It already knows what you\u2019re working on<\/strong>, too! So, you get context-specific answers that are highly relevant to the task you\u2019re working on. Say goodbye to context-switching between standalone AI tools and work platforms. <\/p>\n\n\n\n![\"ClickUp](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/Clickup-brain-1.gif\")
Do more with AI\u2014without ever leaving your workspace<\/em><\/figcaption><\/figure><\/div>\n\n\n\ud83c\udfc1 A unified AI experience<\/strong><\/h4>\n\n\n\nClickUp eliminates fragmented AI tools by integrating intelligence throughout your workflow. <\/p>\n\n\n\n
Whether you’re writing on ClickUp Docs<\/a>, managing action items on ClickUp Tasks<\/a>, or chatting with your coworkers on ClickUp Chat<\/a>, you have consistent AI assistance that understands your entire workspace<\/strong>. Ask AI questions from your home page, tasks, docs, chat, whiteboards, or any other space you can think of! With ClickUp, AI is everywhere, even in your Custom Fields. <\/p>\n\n\n\n![\"ClickUp](\"https:\/\/clickup.com\/blog\/wp-content\/uploads\/2025\/02\/image-58.gif\")
Unlock the power of AI across your chat, docs, tasks, calendar, and more<\/figcaption><\/figure><\/div>\n\n\n\ud83c\udfc1 AI-powered search<\/strong> <\/h4>\n\n\n\n
\ud83d\udceeClickUp Insight:\u00a0<\/strong>Our data shows that 88% of people now use AI in some form, with an impressive 55% using it multiple times a day. However, when it comes to using AI at work, over 50% of our respondents don\u2019t feel confident about using AI.<\/p>\n\n\n<\/div>\n\n\n AI adoption is accelerating everywhere. But gaps remain, especially at work.<\/p>\n\n\n\n One possible reason: AI integration within workplace tools isn’t seamless enough.<\/p>\n\n\n\n Instead of becoming the engine that drives our work, AI remains a sidecar<\/strong>\u2014bolted on but disconnected from the tools where work actually happens, like email, chat, or project workflows.<\/p>\n\n\n\n This makes AI far less powerful than it could be.<\/p>\n\n\n\n Despite the widespread availability of AI within productivity tools<\/strong>, such as Microsoft Copilot or Google\u2019s Workspace AI, only 12% of our respondents<\/strong> say they use such integrated AI features frequently, highlighting fragmented adoption and untapped potential.<\/p>\n\n\n\n As we investigate AI usage patterns, we’ll discuss how current implementation gaps affect knowledge workers. Our data reveals three central themes:<\/p>\n\n\n\n 1\ufe0f\u20e3 Conversational AI is winning: <\/strong>62% of our survey respondents prefer standalone, chat-based AI tools, while only 12% primarily use AI integrated into workplace software<\/p>\n\n\n\n 2\ufe0f\u20e3 Training and trust barriers: <\/strong>27% need more training to use AI effectively, while 22% have privacy or trust concerns<\/p>\n\n\n\n 3\ufe0f\u20e3 A fragmented tool landscape extracts a \u2018toggle tax\u2019: <\/strong>Users juggle multiple AI applications for different tasks, adding to the context-switching costs of working across multiple platforms<\/p>\n\n\n ClickUp Insights<\/a><\/strong>\u00a0surveys thousands of knowledge workers and productivity enthusiasts every month to bring you the latest trends in the global workplace.\u00a0<\/p>\n\n\n\n Our research delves into how professionals manage their time, navigate workplace demands, and implement productivity strategies. By analyzing responses from participants worldwide, we seek to uncover universal productivity challenges and patterns, helping organizations and individuals make more informed decisions in their daily work lives.<\/p>\n\n\n<\/div>\n\n\n Answers from over 30,000 survey respondents uncovered four key trends that reveal\u2014not just how they’re using AI today\u2014but how they want it to transform their work tomorrow. <\/p>\n\n\n\n Let’s explore where AI is already making waves and where it still has some catching up to do! <\/p>\n\n\n\n \ud83d\udcee ClickUp Insight:\u00a0<\/strong>88% of respondents use AI in some form, with more than half (55%) engaging with AI tools multiple times daily.<\/p>\n\n\n<\/div>\n\n\n The shift from “What is AI?” to “How do I use AI for X use case?” happened faster than anyone predicted. <\/p>\n\n\n\n 88% of our survey respondents<\/strong> say they use AI in some form, which is a strong indicator of its ubiquity. This rapid adoption also represents an inflection point for knowledge workers.<\/p>\n\n\n\n Tech leaders like Satya Nadella have compared AI to other breakthrough workplace technologies, such as PCs, email, and spreadsheets<\/a>. <\/strong><\/p>\n\n\n\n \u201cAt ClickUp, our mission has always been to save people time. AI tools are everywhere, but none are saving you time through every step of your work day. ClickUp Brain is deeply embedded in the place you do work; it bridges the gaps and connects the dots across your work, your communication, and your knowledge. ClickUp Brain is here to save you time and eliminate work about work.\u201d<\/p><\/blockquote> What\u2019s even more interesting is people\u2019s openness to this breakthrough technology<\/strong>. Many are ready for the upgrade. 55% of our respondents<\/strong> use AI several times a day, with potential use cases ranging from content creation to brainstorming.<\/p>\n\n\n\n However, a small percentage of respondents (12%) don\u2019t use AI at all.<\/strong> This could point to a group that\u2019s either not ready to embrace it or simply doesn\u2019t see the need yet. <\/p>\n\n\n\n \u2757\ufe0fPulse check: <\/strong>AI adoption at the workplace hit a turning point in 2024, according to the State of AI report from McKinsey<\/a>. After plateauing at 50% for over six years, adoption rates suddenly surged to 72% in early 2024,\u00a0<\/span>indicating that companies are bullish on accelerating their AI transformation.<\/a><\/p>\n\n\n<\/div>\n\n\n All in all, AI is now indisputably mainstream. But<\/strong> just how fast is this adoption?<\/strong> To put it into perspective, let\u2019s look at the timeline of DeepSeek\u2019s launch. <\/p>\n\n\n\n Since going live on January 10, 2025, DeepSeek surpassed ChatGPT by January 27 to become the most downloaded free app on the U.S. iOS App Store. By the end of January 2025, DeepSeek had already reached 33.7 million monthly active users and 22.15 million daily active users<\/a> worldwide. <\/p>\n\n\n \ud83d\udccc The rapid adoption of AI tools shows strong mainstream acceptance. Organizations are catching on, with leaders looking to AI as the next breakthrough technology in the workplace<\/p>\n\n\n\n \ud83d\udccc The meteoric rise of new AI tools like DeepSeek (reaching 33.7M monthly active users within weeks) suggests that users are actively seeking and adopting AI solutions that best fit their needs<\/p>\n\n\n\n \ud83d\udccc With the right application of AI in the workplace, knowledge workers can potentially become orchestrators, managers, and directors of AI agents that do the work\u2014instead of directly performing the ‘knowledge tasks’ themselves<\/p>\n\n\n<\/div>\n\n\n \ud83d\udcee ClickUp Insight:\u00a0<\/strong>We found that 62% of respondents prefer conversational AI tools like ChatGPT and Claude, while only 12% regularly use AI features built into productivity tools. This could be a result of knowledge gaps, security concerns, or lack of an explicit value-add.<\/p>\n\n\n<\/div>\n\n\n AI continues to make waves in the workplace, though not always in the way we might expect. <\/p>\n\n\n\n According to the Future of Jobs Report 2025<\/a>, 41% of companies worldwide<\/strong> plan to reduce their workforce by 2030 with the help of AI-assisted workflows, and 62% are looking to recruit more people with skills to work alongside AI better. <\/p>\n\n\n\n Several business leaders, including Mark Zuckerberg<\/a>, have already stated that they will heavily incorporate AI into their staffing plans going forward. <\/p>\n\n\n\n But what about the<\/strong> average knowledge worker<\/strong>? Here’s what we found!<\/p>\n\n\n\n 62% of our respondents<\/strong> said they prefer using conversational AI tools like ChatGPT and Claude <\/strong>the most at work.<\/p>\n\n\n\n The familiar chatbot-like interface, natural language processing, and interactive nature of these tools likely indicate a low barrier to entry. Users may also value the back-and-forth exchange and ability to use prompt chaining,<\/strong> which helps them work through a variety of tasks and challenges in real time. <\/p>\n\n\n\n On the flip side, AI features built into productivity tools don\u2019t seem to be making the same impact. Despite being embedded in familiar platforms like Microsoft Copilot<\/strong> and Google Workspace AI<\/strong>, only 12% of respondents<\/strong> say they use these features frequently. <\/p>\n\n\n\n This points to two possible reasons:<\/p>\n\n\n\n \u27a1\ufe0f People are not yet fully aware of how AI can enhance their existing workflows This gap in adoption may also explain why 16% of people<\/strong> don\u2019t use AI regularly in their work at all. If they\u2019re stuck switching between different tools\u2014<\/strong>AI and their regular work platforms\u2014adopting the tool may feel like more trouble than it\u2019s worth. Not to mention security concerns about sensitive workplace data.<\/p>\n\n\n\n \ud83d\udccc Users prefer conversational AI tools that are flexible enough to perform many types of tasks rather than narrowed-down, niche AI features locked inside specific tools<\/p>\n\n\n\n \ud83d\udccc AI tools need two essential elements to drive adoption: exceptional user experience and instant (visible) value for every interaction<\/p>\n\n\n\n \ud83d\udccc The low adoption rate of built-in AI features in productivity tools (12%) suggests that the technology may not be seamlessly integrated into the core capabilities of these platforms<\/p>\n\n\n<\/div>\n\n\n \ud83d\udceeClickUp Insight:\u00a0<\/strong>While 67% of users primarily use AI for tasks like content creation (37%) and research (30%), 33% of our survey respondents want AI to help them with more advanced use cases like skill development.<\/p>\n\n\n<\/div>\n\n\n It\u2019s honestly a little surprising how much AI could<\/em> do, but isn\u2019t always being asked to. <\/span><\/p>\n\n\n\n Based on our findings, 37%<\/strong> of people are turning to AI for content creation<\/strong>\u2014writing, editing, and <\/span>emails. Another 30%<\/strong> rely on it for research<\/strong> and information gathering.<\/p>\n\n\n\n These are great use cases, but when we look at what people want<\/em> AI to do, it\u2019s clear they\u2019re hoping for more. <\/p>\n\n\n\n For instance, 33%<\/strong> of our survey respondents want AI to help them grow their skills<\/strong>, and 21%<\/strong> want it to help them with meetings, emails, and projects. Needs that are evidently not being met.<\/p>\n\n\n\n A connected AI, which has access to the data, workflows, and necessary automation features<\/strong>, is the ideal way to cater to all of these use cases.<\/p>\n\n\n\n For instance, to appease the 18%<\/strong> of individuals who wish AI could help them stay organized by managing tasks, reminders, and schedules, you\u2019d typically need several apps, including a calendar app, a task management app, and an AI integration. A single, multi-purpose AI tool could bridge that gap.<\/p>\n\n\n\n This brings us back to the current state of AI. <\/strong>It remains fragmented despite evidence suggesting that AI tools must be deeply integrated into project management, knowledge management, and communication to deliver value in the workplace.<\/p>\n\n\n\n Here, we see evidence of another yawning gap between businesses and users. \ud83d\udc47<\/p>\n\n\n \u2757\ufe0fPulse check:<\/strong> According to PwC’s October 2024 Pulse Survey,<\/a> 49% of technology leaders claim that AI is fully integrated into their core strategy, with one-third saying that the technology is fully integrated into their products and services.<\/p>\n\n\n<\/div>\n\n\n So why aren\u2019t users biting? The answer may lie in a chronic lack of context.<\/strong><\/p>\n\n\n\n At present, most AI tools lack the data\/context\/connectivity<\/strong> they need to integrate themselves into users’ work lives and drive real improvements across multiple interconnected use cases.<\/p>\n\n\n\n This happens because companies often bund<\/span>le AI features into products instead of truly integrating them into workflows<\/strong>. The result? Disconnected experiences that require users to manually bridge contextual gaps instead of leveraging AI that understands their entire process.<\/p>\n\n\n\n For example, an AI meeting assistant that simply transcribes conversations but doesn’t connect to project management tools, prior discussions, or upcoming deadlines remains a feature rather than a workflow solution.<\/strong><\/p>\n\n\n\n Here\u2019s what Jeff Dean, Google’s Chief Scientist<\/a>, says about context:<\/p>\n\n\n\n \u201c… the problem with that is you\u2019re building these narrowly defined systems that can do one thing and do it extremely well, or do a handful of things. And what we really want is a system that can do a hundred thousand things, and then when the hundred thousand-and-first thing comes along that it\u2019s never seen before, we want it to learn from its experience to be able to apply the experience it\u2019s gotten in solving the first hundred thousand things to be able to learn how to do thing hundred thousand-and-one quickly.\u201d<\/p><\/blockquote> \ud83d\udccc Users want AI to be more deeply integrated into their professional development and daily workflows, with around 50% seeking AI assistance for core work activities like meetings and project management as well as professional development<\/p>\n\n\n\n \ud83d\udccc Most AI tools excel at isolated tasks but lack the contextual awareness and interconnectedness necessary to truly deliver value at work. This fragmented approach hinders their ability to provide comprehensive, holistic support for complex use cases<\/p>\n\n\n\n \ud83d\udccc Companies frequently fall into the trap of bundling AI features into their products without meaningfully connecting them to existing workflows, creating more contextual gaps in the process<\/p>\n\n\n<\/div>\n\n\n \ud83d\udceeClickUp Insight:<\/strong>\u00a0Among the 88% of respondents who use AI, <\/strong>only 34% of users trust AI completely, while 27% need more training, and 23% don’t know where to start.<\/p>\n\n\n<\/div>\n\n\n A common thread across our AI survey responses? Between 8% and 18%<\/strong> of respondents say that they don\u2019t use AI regularly or actively avoid it. <\/p>\n\n\n\n So, what\u2019s keeping these users away from AI despite its near-ubiquity?<\/p>\n\n\n\n First, a large portion of people\u201423%<\/strong>\u2014aren\u2019t sure where to start with AI. Users may find it overwhelming to navigate the sheer number of AI-powered tools available in the market or might wonder about<\/span> the value these tools bring to existing workflows. <\/strong><\/p>\n\n\n\n Then, there are the 27%<\/strong> who say they need more training to use AI effectively. In this scenario, people can see the potential<\/strong>, but they feel that they don\u2019t quite know how to use AI to its full advantage.<\/p>\n\n\n\n And let\u2019s not forget about trust\u2014both in terms of security and accuracy. 11%<\/strong> are worried about privacy, and another 11%<\/strong> don\u2019t fully trust AI yet. <\/p>\n\n\n\n On the other hand, 38%<\/strong> are open to using AI but prefer to double-check its work. It\u2019s clear that for some, this caution stems from a lack of confidence in AI\u2019s accuracy or reliability.<\/p>\n\n\n\n \u2757\ufe0fPulse check:<\/strong> The Make it Fair <\/a>campaign, driven by the UK’s creative industries, further highlights the need for double-checking AI-generated output. Designed to address the issue of generative AI models using copyrighted material without permission or fair compensation, the initiative aims to protect creators’ rights via enhanced copyright laws and robust policies. <\/p>\n\n\n<\/div>\n\n\n So, for the folks still hesitant to fully embrace AI, many of the barriers seem to boil down to three main factors: uncertainty about where to start, a lack of training, and concerns about privacy and trust<\/strong>. <\/p>\n\n\n\n These findings also suggest that people are not fundamentally opposed to AI\u2014they just need a little more support and reassurance before it can become a regular part of their routine.<\/p>\n\n\n \ud83d\udccc The high percentage of users who double-check AI-generated output (38%) suggests a need for better accuracy validation tools and transparency in how AI makes decisions<\/p>\n\n\n\n \ud83d\udccc A significant knowledge gap exists, as nearly half of users report needing AI training (27%) or feeling unsure how to begin (23%). This highlights an urgent need for structured AI onboarding and educational resources<\/p>\n\n\n\n \ud83d\udccc Privacy and trust concerns surrounding AI tools (22%) can be dispelled by putting better security measures and reliability metrics in place <\/p>\n\n\n<\/div>\n\n\n Fact check: <\/strong>Our survey reveals that 12% of respondents never use AI tools, 11% don’t fully trust AI, another 11% are concerned about privacy, and 15% are still figuring out when to use AI. Meanwhile, only 12% primarily use AI integrated into workplace software, highlighting a significant gap between personal and organizational adoption.<\/p>\n\n\n<\/div>\n\n\n Despite widespread personal AI adoption, organizations face significant barriers to implementing AI effectively, creating a growing disconnect between personal adoption and organizational readiness.<\/p>\n\n\n\n The key challenges we’ve uncovered from the data include fragmented tool adoption, insufficient training, trust barriers, and limited or ineffective workplace integration.<\/strong><\/p>\n\n\n\n To bridge this gap, organizations need to match people’s willingness to embrace AI with a clear plan for bringing it into the workplace<\/strong>. Here are four strategic recommendations to accelerate your organization’s AI transformation:<\/p>\n\n\n\n Instead of letting employees create personal workarounds, develop a consolidated AI infrastructure that integrates with existing workflows. Look for solutions that combine the conversational interface users prefer (62% preference) with robust workplace tool integration. For example, simplify knowledge management with a chat-based AI interface that instantly pulls up information from anywhere in your workspace.<\/p>\n\n\n\n Address the training gap, highlighted by 27% of people, via a comprehensive AI literacy program. Focus on practical use cases, safety protocols, and best practices for AI tool selection. Create “AI champions” within teams to accelerate peer learning and adoption.<\/p>\n\n\n\n Combat the trust deficit by developing clear AI governance frameworks. Implement data handling policies, establish usage guidelines, and create feedback loops for continuous improvement. Show your employees exactly how AI tools handle sensitive information and which tools are approved for use at work. <\/p>\n\n\n\n Make AI a foundational element at work. Start with your most important workflows and reimagine them with AI at their core. The key is making AI feel less like a separate tool and more like the invisible force that keeps work moving. It should be quietly running your projects in the background, connecting your tools, and moving work forward 24\/7.<\/p>\n\n\n\n The promise of AI often falls short in the workplace. <\/p>\n\n\n\n Traditional work tools leave AI capabilities as an afterthought, making them feel bolted-on and disconnected. <\/p>\n\n\n\n The result? Teams now struggle with fragmented AI features<\/strong> that don’t understand the context of the work, leading to generic outputs and wasted time tweaking prompts. <\/p>\n\n\n\n As the everything app for work, ClickUp brings intelligent assistance to every corner of your workspace with a contextually aware<\/strong><\/span> AI.<\/strong> Here are four ways ClickUp’s AI transforms your work:<\/p>\n\n\n ClickUp Brain<\/a> combines the familiar chat interface <\/strong>people love with deep workspace awareness. Whether you want to brainstorm, problem-solve, or analyze data, <\/strong>ClickUp Brain can help with a wide variety of use cases right from your workspace. <\/p>\n\n\n\n Best part? It already knows what you\u2019re working on<\/strong>, too! So, you get context-specific answers that are highly relevant to the task you\u2019re working on. Say goodbye to context-switching between standalone AI tools and work platforms. <\/p>\n\n\n ClickUp eliminates fragmented AI tools by integrating intelligence throughout your workflow. <\/p>\n\n\n\n Whether you’re writing on ClickUp Docs<\/a>, managing action items on ClickUp Tasks<\/a>, or chatting with your coworkers on ClickUp Chat<\/a>, you have consistent AI assistance that understands your entire workspace<\/strong>. Ask AI questions from your home page, tasks, docs, chat, whiteboards, or any other space you can think of! With ClickUp, AI is everywhere, even in your Custom Fields. <\/p>\n\n\nSurvey methodology and demographics<\/strong> <\/h3>\n\n\n\n
4 Key Trends Shaping AI Usage in Our Workplaces<\/strong><\/h2>\n\n\n\n
Everything everywhere: the growing footprint of AI<\/strong><\/h3>\n\n\n
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Potential vs. adoption: AI in the workplace<\/strong><\/h3>\n\n\n
\u27a1\ufe0f The current integrations aren\u2019t seamless or comprehensive enough to become a core part of their routine<\/p>\n\n\n\nKey finding<\/strong>s<\/h4>\n\n\n\n
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The use case gap: how we\u2019re using AI vs. what we really want<\/strong><\/h3>\n\n\n
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Barriers decoded: what\u2019s keeping people away from AI?<\/strong><\/h3>\n\n\n
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Our 4 Strategic Recommendations<\/strong><\/h2>\n\n\n
\u2705 Unify the AI toolkit<\/strong><\/h4>\n\n\n\n
\u2705 Build an AI-ready workforce<\/strong><\/h4>\n\n\n\n
\u2705 Establish trust through transparency<\/strong><\/h4>\n\n\n\n
\u2705 Make AI your workflow’s foundation<\/strong><\/h4>\n\n\n\n
How Can ClickUp Help?<\/strong><\/h2>\n\n\n\n
<\/figure><\/div>\n\n\n\ud83c\udfc1 Conversational AI that knows your context<\/strong> <\/h4>\n\n\n\n
\ud83c\udfc1 A unified AI experience<\/strong><\/h4>\n\n\n\n
\ud83c\udfc1 AI-powered search<\/strong> <\/h4>\n\n\n\n