當你讓AI與人類一起工作時，真正的魔法就會發生。要讓這種協作成功，你得：

1明確劃分角色與責任──這樣才能兼得兩者之長。AI在處理日常任務、資料分析和即時反應系統上表現得相當出色，而人類則擅長依據直覺做決策、處理敏感議題、發揮創意，以及需要同理心的工作。設定清晰的界線，讓AI和人類各展所長。

2提供持續的培訓和技能提升──由於AI領域持續演進，員工需要持續培訓，才能理解他們可以使用的AI工具。

3鼓勵合作──讓AI工具在會議、腦力激盪、策略規畫等過程中易於取得。

4遵循道德原則使用AI──有一套透明的AI應用實務，讓每個人都清楚了解AI如何做出決策，這樣才能建立信任。

5重視員工的情緒健康──要讓員工明白，AI是提升價值的工具，而不是來取代他們。對於員工的任何疑慮，都要直接而坦誠地去面對和處理。

6建立回饋機制──讓員工能輕易分享他們使用AI工具的經驗、遇到的困難，以及提出相關建議。利用這些回饋來優化和改進你的AI工具與模型。

7為未來做好準備──從混合勞動力的角度來看，只要企業能跟上AI的發展步伐，這種勞動力模式就會非常有效。舉辦工作坊、講座以及提供線上課程，讓你的員工持續學習最新知識，與時俱進。

如今，你或許還能說自己是行銷人員、工程師、會計師、水電工或護理師，但這些標籤無法說明你實際在做什麼。你真正的工作是一系列任務、能力、人際關係、判斷和貢獻的總和。AI不是為頭銜而來，是衝著任務來的，這就是為什麼你必須用不同的角度看待自己工作。

用一個簡單的3桶框架來思考，會很有幫助：

■第1桶：AI可以獨立完成的工作──例行性、可預測、按照規則行事的任務。問問自己：「別人能用和我一樣的方式完成這項任務嗎？」如果答案是肯定的，就屬於第1桶。

■第2桶：你與AI一起協作的工作──科技負責速度和規模，你則加入背景脈絡、判斷和意義的任務。問問自己：「這項任務需要數據以外的理解和背景知識嗎？」如果是，就屬於第2桶。

■第3桶：仍舊只有人類才能處理的工作──例如建立信任、解讀情緒、應對模糊情況、解決複雜問題，以及從零開始創造新事物。問問自己：「這項任務需要解讀情緒或建立信任嗎？」如果是，就屬於第3桶。

你的機會是讓工作在不同桶子之間移動：讓AI接管第1桶中愈來愈多的任務。透過學習善用AI，提升你在第2桶的技能。然後，用省下的時間和獲得的優勢，強化第3桶──這裡才是你長期且持久的價值所在。

這不是一次性的練習。隨著AI持續進步，你的工作將不斷在不同桶子之間移動，因此適應力才是你真正的競爭優勢。銀行櫃員就是很好的例子。自動櫃員機沒有直接淘汰銀行櫃員的角色，是改變了他們的工作內容，平常處理現金的工作大幅減少，人際關係為主的工作則變得更加重要。這個教訓很清楚：別再保護你的頭銜，開始了解你的任務，那才是你未來的出路。

懂AI的領導者必須以共融為先，才能確保組織成功導入AI。共融在AI是指讓員工感到被重視且覺得自在，同時確保他們獨特的人類貢獻獲得認可。如果員工感覺自己被排除在外，他們很可能抗拒AI、懷疑它的能力，甚至在組織內形成一個個孤島，這將削弱AI的潛在利益。

要在採用AI時做到最大程度的共融，你應該：

1創造社交空間──AI的工作可能讓員工感到孤立，領導者應該透過社交活動和網路社群，促進員工之間的互動，減輕這種孤立感。

2讓技術團隊與非技術團隊一起合作──打破技術專家與營運專家之間的隔閡非常重要。領導者應該鼓勵多元化的團隊，讓業務目標與技術能力一致，從而確保AI的有效應用。

3培養領導與共融的能力──懂AI的領導者必須傾聽員工的疑慮，並引導他們了解AI。就像微軟的薩蒂亞．納德拉展現的謙遜與同理心，是培養共融思惟的關鍵。

4獎勵人類的貢獻──肯定並獎勵人類與AI的協同努力。讓員工覺得自己獨特的貢獻受到重視，對於維持動力和歸屬感十分重要。

以共融為先，領導者可以確保AI提升組織績效，同時也能維持一個人性化和協作的工作環境。

The real magic happens when you put together a blended workforce, where both AI and humans collaborate. To make this work:

1Define clear roles and responsibilities– so you get the best of both worlds. AI is superb for routine tasks, data-driven analysis, and immediate response systems. Humans excel at making decisions based on intuition, handling sensitive issues, creativity, and tasks requiring empathy. Define boundaries so AI and humans work in their strength zones.

2Offer continuous training and upskilling– because the AI landscape is evolving constantly and employees will need ongoing training to understand the AI tools at their disposal.

3Encourage collaboration– by making AI tools easily accessible during meetings, brainstorming sessions, strategy planning sessions, and so on.

4Use AI ethically– have transparent AI deployment practices. Make sure everyone knows how AI makes decisions so there is trust.

5Address emotional well-being– reassure employees AI is a tool that adds value rather than replacing them. Address any concerns head-on and with candor.

6Implement feedback loops– make it easy for employees to share their experiences, challenges, and suggestions relating to AI tools. Use this feedback to optimize and improve your AI tools and models.

7Prepare for the future– with the viewpoint a blended workforce will be effective as long as the business stays in sync with AI advancements. Run workshops, give seminars, and offer online courses which keep your human workforce updated and relevant.

At the present time, you may call yourself a marketer, an engineer, an accountant, a plumber, or a nurse, but that label does not capture what you actually do. Your real job is a collection of tasks, capabilities, relationships, judgments, and contributions. AI does not come for titles. It comes for tasks. That's why you need to look at your work differently.

Here's how to think about this in a useful way. Use a simple three-bucket framework;

■Bucket 1 is work AI can do alone: routine, predictable, rules-based tasks. Ask: "Could someone else does this task the same way I do?" If the answer is yes, it belongs in Bucket 1.

■Bucket 2 is work you do with AI: tasks where technology handles the speed and scale, while you add context, judgment, and meaning. Ask: "Does this task require understanding and context that is not in the data?" If yes, it belongs in Bucket 2.

■Bucket 3 is the work that remains uniquely human such as: building trust, reading emotion, navigating ambiguity, solving messy problems, and creating something new from scratch. Ask: "Does this task require reading emotions or building trust?" If yes, it belongs in Bucket 3.

Your opportunity is to move work across the buckets. Let AI take over more and more of your Bucket 1 tasks. Build your personal skill level in Bucket 2 by learning how to use AI well. Then use the time and leverage you gain to strengthen Bucket 3, where your long-term and durable value lives.

This is not a one-time exercise. As AI improves, your work will keep shifting from bucket to bucket. That makes adaptability your real competitive advantage. A good example of this principle in action are bank tellers. ATMs did not simply eliminate the role of bank tellers. They changed it. Routine cash-handling by bank tellers declined dramatically, while relationship-based work became much more valuable. The lesson is clear: stop protecting your title. Start understanding your tasks. That is where your future opens up.

AI-savvy leaders, however, must prioritize inclusion to ensure successful AI deployments. Inclusion in AI means making employees feel valued and comfortable, ensuring they are recognized for their unique human contributions. If employees feel excluded, they are likely to resist AI, distrust its capabilities, and create organizational silos, undermining AI's potential benefits.

To maximize inclusiveness in AI adoption:

1Create space for social connections– AI work can isolate employees. Leaders should facilitate human interaction through social events and online communities to counteract this isolation.

2Make tech and non-tech teams collaborate– breaking down silos between tech and business experts is essential. Leaders should foster diverse teams where business goals and tech capabilities are aligned, ensuring effective AI adoption.

3Develop leadership and inclusion skills– AI-savvy leaders must listen to employee concerns and guide their understanding of AI. Humility and empathy, as demonstrated by Microsoft's Satya Nadella, are crucial for fostering an inclusive mindset.

4Reward human contributions– recognize and reward the collaborative efforts of humans and AI. Ensuring employees feel valued for their unique contributions is vital for maintaining motivation and a sense of inclusion.

By prioritizing inclusion, leaders can ensure that AI enhances organizational performance while maintaining a humane and collaborative workplace.

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