# The Reality of AI in Today’s Workplace (New Research) > Intrigued by the AI hype? Here are the facts. Get the latest data and research on how top-performing organizations are using AI today. Source: https://asana.com/resources/state-of-ai-research-takeaways ## The reality of AI in today’s workplace (new research) Artificial intelligence (AI) is no longer a futuristic concept; it's the heart of today's workplace transformation. To better understand how organizations are navigating AI adoption, [The Work Innovation Lab](https://asana.com/work-innovation-lab), a think tank by Asana, conducted a survey of over 4,500 individual contributors, middle and senior managers, and executives in the U.S. and U.K.  What did they find? It depends on who you ask. Use cases, adoption, and feelings regarding AI are mixed across teams and role levels. This love-it-or-hate-it dynamic makes it especially challenging for leaders—how can you thoughtfully leverage a new technology when your teams are so conflicted about it? There’s no one-size-fits-all answer, but one thing is clear—high-performing companies take a different approach, adopting and implementing AI in more effective ways. They navigate the AI leadership divide, bridge AI perspectives across functions, and strategically select AI vendors.  #### The Work Innovation Lab とは？ AI を活用したオートメーションやエージェンティック AI から、ソーシャルコマースやマイクロコミュニティまで、2026年に影響を与える主要なマーケティングトレンドをご紹介します。 プライバシー重視の世界において、カスタマーエクスペリエンスを向上させ、ブランドとの本物のつながりを築き、成功度を測定する方法をご説明します。 - [調査レポートを見る](/work-innovation-lab) ## The current state of AI is marked by progress and caution If there was one take away from all the data collected by The Work Innovation Lab, it’s this: Despite the narratives around fear and concerns, most workers are cautiously optimistic. Roughly half (52%) of knowledge workers anticipate that AI will have a positive impact on their work. More than one-third (36%) of knowledge workers are already harnessing AI's capabilities in their roles at least weekly, signaling an opportunity to unlock even more value from AI. But despite recognizing AI’s potential, there are challenges that need to be addressed. On average, nearly one-third (29%) of employees reported thinking their jobs were replaceable by AI. This could create resentment and friction for AI adoption and use. The challenge and opportunity lie in discerning what AI can skillfully automate and what still requires a human touch, crafting a future where AI amplifies human intelligence rather than competing with it. ## Executives are leading the AI charge, but workers aren’t so sure Executives are paving the way for AI adoption, realizing its potential to augment human intelligence. Over half (52%) of executives use AI on a weekly basis, compared to just 36% of the broader workforce.  For employees, use cases include: - Data analysis (30% of employees) - Administrative tasks (25% of employees)  This disconnect extends beyond just AI usage—it also shows up in perceived transparency. 44% of executives feel they've been transparent about their organization’s plans to use AI, but only 38% of managers and 25% of individual contributors agree. Likely, this gap is from a lack of AI-related policies and guidelines and a shortage of AI training. Despite their differences, executives, managers, and individual contributors all agree when it comes to ethical AI concerns—81% of individual contributors fear that AI will compromise their human rights and 73% of leaders share this sentiment. According to The Work Innovation Lab, connecting these differing views and opinions could start with human-centered AI. Human-centered AI is driven by values and guiding principles that put employees and ethics first. This is the core of how successful companies are approaching AI; from a human lens.  ## Bridging the AI gap across departments The data shows that every department in your organization views AI through its own unique lens—whether it's the tech-centric sphere of IT, the creative realm of marketing, or the pragmatic world of operations. As a leader, you’ll need to grasp these varied viewpoints to tailor AI implementation and change management processes for each group. - **IT: The (cautiously optimistic) AI enthusiasts:** IT professionals view AI as a transformative force that will fundamentally reshape the contours of work. While they’re enthusiastic about AI, they’re still concerned about the security risks associated with AI. _46% of IT professionals anticipate their organizations investing in AI in the upcoming quarter, much more than other departments._  - **Marketing: The AI skeptics:** Marketing thrives on understanding human emotions, creativity, and cultural subtleties. Many marketers are wary of AI, guarding the creative core of their field. _About 31% of marketers worry about being labeled "lazy" for using AI, a concern more prevalent here than in other departments._ - **Operations: The AI realists:** Operations teams see AI's promise and also its complexities. They recognize the need for role-specific AI training and advocate for it. _50% of operations professionals foresee AI playing a role in goal-setting. Moreover, 55% believe AI can help achieve objectives more effectively than traditional methods._ To successfully weave AI into the fabric of your organization, it's vital to recognize and cater to these diverse perspectives. This ensures a cohesive and impactful AI strategy throughout your organization. ## The path forward Organizations are at a pivotal juncture. Fully harnessing AI goes beyond mere tool adoption—it requires serving as a guide and connective tissue between leadership and departmental gaps within your organization. By making informed vendor decisions, businesses can tap into AI's transformative power and leverage it to unlock new levels of human ingenuity.  In this ever-evolving AI landscape, you can’t just be a decision-maker; you need to be an architect of change for your organization. #### AI でよりスマートな働き方を実現するか、取り残されるか AI を理解するには、まず事実を知ることから始まります。トップクラスの企業がどのように AI を活用して成功を加速させているのか、最新の調査結果をご覧ください。 - [調査レポートを見る](/resources/human-centric-ai-playbook) - [調査レポートを見る](/resources/human-centric-ai-playbook) - [AI の現状](/resources/category/ai-at-work) - [AI 活用とは？ ビジネスでの活用事例・活用法から導入のステップまで徹底解説](/ja/resources/ai-utilization) AI の現状 #### コンテンツライター 人手不足や働き方改革への対応が急務となる中、多くの企業が AI 活用を経営課題の解決策として注目しています。生成 AI や AI チャットボットといった AI ツールの進化により、これまで専門部署だけのものだった AI 技術は、現場の業務効率化や意思決定の支援にも活用できる段階に入りました。しかし「AI にできること」や「自社でどのように活用すればよいのか ... - [AI 導入で変わる意思決定プロセス: 経営戦略と現場を同期させる次世代のガバナンス](/ja/resources/ai-decision-making-process) AI の現状 AI #### コンテンツライター AI による意思決定とはAI による意思決定とは、人工知能が膨大なデータから最適解を導き出し、人間の判断力を高度に拡張するプロセスです。その根幹にあるのは、経験や主観ではなく客観的な数値を拠り所とするデータ駆動型 (データドリブン) 経営です。変化の激しいビジネス環境において、経営層は市場動向や財務データを可視化することでリスク管理に基づいた迅速な判断を行 ... - [自治体 AI 導入完全ガイド 2026: 官公庁の最新活用事例と行政 DX を成功させる 5 つのステップ](/ja/resources/public-sector-ai-adoption) AI AI の現状 #### コンテンツライター 自治体、行政における AI 導入の現状と背景現在、日本の多くの自治体の現場では、多様化する住民ニーズへの対応や深刻な労働力不足という大きな課題に直面しています。この課題解決の切り札として、人工知能、とりわけ生成 AI の活用が急速に広がっています。総務省の調査や各地の報告によれば、自治体における生成 AI の利用は、もはや一部の先進的な取り組みにとどまらず ... - [中小企業のための AI 活用例 18 選｜補助金や事例、アイディア](/ja/resources/smes-ai-applications) AI の現状 #### コンテンツライター 中小企業こそ AI を戦略的に導入することで、競争力の強化と持続的な成長を実現できます。本記事では、中小企業がどのように AI の活用を進め、DX (デジタルトランスフォーメーション) を実現できるのか、具体的な活用事例も交えながら解説します。中小企業にとって AI が不可欠な理由2030 年問題や 2050 年問題で代表されるように、深刻な人手不足の時代 ... - [The reality of AI in today’s workplace (new research)](/ja/resources/state-of-ai-research-takeaways) AI の現状 ワークフローの自動化 ワークマネジメント - [コンテンツライター](/author/alicia-raeburn) Artificial intelligence (AI) is no longer a futuristic concept; it's the heart of today's workplace transformation. To better understand how organizations are navigating AI adopti ...