The Key to a Thriving Workforce? A Smart Approach to AI微软的最新数据强调了人工智能对员工赋权、活力和生产力的积极影响。领导者可以通过关注其员工队伍是否在“繁荣”中来促进良好表现，微软将“繁荣”定义为被赋予权力和充满活力地进行有意义的工作。员工信号调查显示，人工智能的使用能通过减少乏味工作并促进有意义的工作来提高生产力、努力和影响。人工智能工具还与更高的赋权和活力得分相关，表明员工队伍的“繁荣”。成功的关键在于将人工智能与支持性文化相结合，提供必要的培训，并使人工智能项目与公司目标保持一致。
New data reveals how access to AI can help employees feel more empowered and energized, and find more meaning in their work.
what’s the best way for leaders to foster good performance? How can they tell if their efforts are successful or not? Often, companies try to answer these questions by measuring metrics like engagement or financial results. And while those are critical to business success, at Microsoft, we also want to explore whether the workforce is thriving.
“Thriving has become the North Star for how we understand employees,” says Microsoft VP of People Analytics Dawn Klinghoffer, who leverages data to help leaders understand and improve employee’s experience. “We define thriving as being empowered and energized to do meaningful work. Are people excited to come to work every day, excited about the opportunities ahead?”
One of the ways we gauge this at Microsoft is with our Employee Signals survey, a biannual company-wide poll. The recent results not only offered insights into the tangible benefits of thriving, they also uncovered a key catalyst for fostering it: access to AI.
The Benefits of Thriving
We are focused on fostering a culture of thriving because our research suggests that doing so can boost how effective our workforce perceives itself to be. We also found that employees who are thriving are likely to have the highest scores on our indicators of high performance, like productivity, effort, and impact
Additionally, survey results suggest that employees who are thriving are more likely to go above and beyond what is expected of them. They take more pride in their work and they are less apt to look for employment elsewhere.
Recent Employee Signals survey results give us some new insights about what it means to thrive in this new era of work. We discovered that higher scores on what we’ve identified as the most important factors that support thriving—finding meaning in work, feeling empowered, and feeling energized—also translate to a measurable boost in productivity. Furthermore, access to AI seems to correlate with higher scores on each of these pillars.
Meaningfulness: According to our data, employees who find their work meaningful are 59% more likely to say they are productive at work—and 28% more likely to say they put in extra effort. Key to that is minimizing time spent on tasks that don’t feel meaningful. This is where AI comes in: AI assistants can lighten the load by generating rough drafts, sifting through piles of data, or simply acting as a sounding board and brainstorming partner to help people nail down a plan of action. Crucially, incorporating AI into the day correlated to a 20% jump in scores relating to meaningful work.
“What we find is that AI is really there to help you take friction and toil out of the system, and to remove the drudgery of work,” Klinghoffer says. “And when people are able to remove some of that drudgery, we see that they’re more productive, and they thrive more.”
Empowerment: Survey results also point to a future in which AI empowers people in their jobs. People who are empowered do not feel they have resource constraints, and they aren’t overburdened with people telling them how to do their work, Klinghoffer says, “so they have more freedom to do things the way they want and need to get the job done.” Access to AI tools and resources, we found, correlated to 34% higher scores for questions related to empowerment.
Energy: Our employees who say they feel energized are 44% more likely to say they feel proud of their work, and 22% more likely to say they take the initiative to be productive and put discretionary effort into their work. All levels of AI use— learning about it, grasping its value, incorporating it into processes and products, or simply having AI resources—correlated to higher reported energy levels. In fact, scores on energy-related questions for those using AI jumped almost 27%.
These results offer solid evidence that AI can be a catalyst for thriving and high performance. But how a company goes about making AI available will determine whether the company can reap these benefits. If employees are equipped with the right knowledge, tools, training, and resources to leverage AI in their work, they can begin to tap the full potential of an AI companion.
The key to success, Klinghoffer says, is integrating AI in a way that spans culture, learning, and people management. That way, everyone will understand how AI can help them focus on the most meaningful work.
The ABCs of Thriving with AI
Klinghoffer recommends keeping the following blueprint top of mind.
Accelerate alignment: Strengthen connections between employees, the company’s mission, and the transformative potential of AI. Clarify how AI initiatives align with the company’s goals and employees’ roles. Celebrate contributions to AI projects to highlight their impact on the company and customers.
“Employees who felt more connected to the mission and really understood how their work fits into the larger system were also the ones who were really thriving,” says Ketaki Sodhi, Senior HR Data Analyst at Microsoft. “When we looked at Copilot and employee sentiment around AI, these were also the folks who were willing to experiment and find ways to use AI to take some of the drudgery out of the day-to-day.” Smart leaders should seek out those internal champions and offer them support and encouragement.
Be inclusive: Create an environment where all employees feel equipped to engage with AI. This includes providing AI education, training, and resources, as well as fostering a culture of innovation and supporting a safe space for experimentation. Regular check-ins and feedback sessions can help employees express concerns and share ideas related to AI. Once users are encouraged and equipped to explore the possibilities of AI, our research suggests that a time savings of just 11 minutes a day is all it takes for them to start to appreciate its value.
Cultivate collective growth: Create a culture that empowers employees to decide how to do their best work, while investing in moments that matter together. Provide employees with the flexibility to plan their days and create time to meaningfully engage with AI. Encourage them to explore how AI can help them free up time for creative and strategic work. Then highlight use cases and foster collaboration among teams to encourage knowledge sharing.
Collective growth encompasses in-role experiences (how do we create time and space for employees to learn within their role?) and beyond (what comes next for me? Is there a viable career that excites me at this company?). AI can help with both—by eliminating the drudgery that keeps employees from doing more creative work, and by facilitating positive employee movement. “You see a huge boost. People get excited doing something new, growing their skills and experiences, and furthering their career,” Klinghoffer says. “A couple of months ago on my team we had people who were interested in a different role raise their hands, and we facilitated changes for about 20% of my org.”
Flexibility
2024年06月24日
Flexibility
Josh Bersin :劳动力市场已完全改变：您真的准备好了吗？Josh Bersin 最新撰文谈到，随着以婴儿潮一代为主的劳动力队伍的衰落和具有独特期望和职业模式的新一代的崛起，劳动力市场发生了巨大的变化。这一新劳动力的特点是偏好组合职业和副业，他们要求尊重、灵活性和精心设计工作的机会。企业在适应这些变化时面临着挑战，职位普遍空缺，人员流动增加。文章强调，企业需要采用一种动态的组织模式，优先考虑授权、内部流动性和员工积极性，以便在这个新的劳动力市场中茁壮成长。这种适应的关键在于了解劳动力现在寻求的是成长、灵活性以及他们的价值观与工作之间有意义的结合。
英文原文如下，推荐了解
The labor market has changed before our eyes. Employers and HR teams better watch out.
Over the last five decades baby boomers defined the workforce. Today things could not be more different, and this change impacts all of us.
I was born in the 1950s, growing up in a world where the middle class experienced steadily increasing standards of living. My father was a scientist, my mother sold art, and my brother and I had a nice middle-class life.
This included a three stage career: education | work | retirement. I went to college, studied hard, and got a good job as an engineer. My career went on a predictable path. I worked for Exxon and then IBM – each company giving me training, development, and potential for long-term career. I met many great people, learned about work, got married and had a family.
My cohort, the baby boomers, was huge. Companies built entire talent systems for us – onboarding, training, predictable career growth, developmental assignments, leadership development, and retirement programs. We strapped ourselves in and enjoyed the journey.
Fast forward to now: things are very different.
Today’s working population bulge (median age 33, born in the early 1990s,) entered the workforce in a disrupted world. They joined companies during a boom, experienced the pandemic in their 20’s, and live in a world where everything is on the internet. While my generation revered our employers, these workers see every corporate mistake in real-time. They expect their bosses to earn their respect, otherwise they’ll “quietly quit” or start moonlighting on the side.
While my generation expected to work for only a few employers during a career, today people build what Lynda Gratton calls “a portfolio career.” More than 2/3 of workers have side-hustles and their resume is filled with projects, businesses, activities, and professional interests. If you look at the LinkedIn profiles of most high performers they look like personal journeys, far different from the linear career paths we had in the past.
While most of these changes came slowly, the end result is profound: the expectations, needs, and demands of workers are different. And businesses have struggled to keep up. Companies have vast amounts of unfilled positions, we suffer high turnover in almost every role, and labor unions are growing in number.
What do companies do? We have to accept and understand that the labor market has totally changed.
We live in a world where employees will live into their 100s. Young workers are postponing getting married and having children and they see their career as a long series of experiences. The norms of a long-term linear career have ended: people try new things, change industries, and live in what I call a “pixelated” job market.
And rather than blindly trust employers, people bring high expectations to work. Young workers don’t expect to “become the job,” they want the job to “become them.” (Often called “job crafting.”) And given the shortage of workers in every role, this trend is just getting bigger.
While economists believe the job market will soften and employers will have more power over time, I think those days are over. Life just isn’t going back to the way it was. Despite the growth of AI, companies are more dependent on their workforce than ever. And with 70% of the jobs now service-related (healthcare, retail, hospitality), employees really are our product.
I look at it this way. Companies and employers live in a pool of labor: it’s the needs and expectations of people who decide what we can and should do. People are upset about inflation. They’re worried about climate change. They want CEOs to behave ethically. And they want flexible work that lets them live a joyful life.
And every year the workforce becomes more educated and connected. (The percentage of US workers with degrees has gone up to 54%, up from 38% fifteen years ago.) People know about the company’s financial results or other issues far before an announcement even comes out.
While many of these trends are obvious, many companies aren’t ready. Last year I talked to the CHRO of Boeing and he told me the problems were highlighted by employees years ago. They simply were not listening, and now they’re a company in crisis. And that leads to the topic of “employee activation.”
In the old days senior leaders made decisions, workers carried out the orders. Ideas and strategies were “top-down.”
Today much of the intelligence we need to grow our companies is sitting with front-line workers. We need to “activate employees” and listen to them directly. The worker in the store, plant, or front office who feels frustrated by some system or process is the person who should advise us what to do. The old idea of “management by walking around” must come back. (Our Org Design Superclass explains this in detail.)
I don’t mean chaos, holacracy, or lack of controls. Successful companies have a clear mission, a series of strategic initiatives, and budgets to hold people accountable. But they empower everyone to be a leader, unleashing power from the bottom up. (Come to Irresistible and learn about how Marriott and Delta airlines exemplify this model.)
The key is building what we call a “Dynamic Organization” – one which is flat, team-centric, connected, and accountable. Our research shows that only 7% of companies operate this way: most are still very hierarchical and slow to adapt. But change is coming, as companies like Delta, Marriott, Telstra, Unilever, Novartis, Seagate, and Bayer have found out.
(This week the CEO of Bayer announced a radical transformation to a team-centric management model, dramatically reducing the number of “bosses.”)
A dynamic organization does two things well. First, it adapts to change, sees new markets, and mobilizes quickly for change. But even more importantly, it empowers people, encourages internal mobility, and focuses on meritocracy, skills, and collaboration to thrive. (Read about Talent Density to learn more.)
While these ideas are not new, urgency is critical. Employees demand growth, flexibility, and agency – and we can’t deliver it unless our reward and development systems change. Today more than 70% of US jobs are in the service sector: health care, retail, entertainment, and transportation. If we don’t empower people in these roles our products and services will suffer.
Let me conclude with this: we just woke up in a totally new labor market. If you don’t focus on empowerment, growth, and employee activation, talent will just go elsewhere.
Flexibility
2024年03月31日
Flexibility
世界幸福报告能教给我们关于工作的什么? What The World Happiness Report Teaches Us About Work最新《世界幸福报告》揭示，尽管经济增长，美国幸福感下降。研究强调，高薪并非幸福的关键，而公平薪酬、良好的企业文化才是。特别是年轻人，受到气候变化、政治纷争等影响，幸福感低落。企业需关注文化建设、弹性工作，关照员工心理健康。工作场所的信任、社区感和公平至关重要。我们要反思：真正的幸福是什么？
我每年都认真研读《世界幸福报告》，今年的报告特别引人深思。以下是我对一些关键发现的解读。
首先，美国的幸福指数（10分满分）降至第23位，比全球最幸福的国家芬兰低了13%。实际上，在过去15年中，美国的幸福度几乎下降了8%，呈现出持续的年降趋势。对于我们这些生活在美国的人来说，这可能并不陌生：坏消息、政治争斗以及人们在价值观上的分歧似乎无处不在。
这一切发生的同时，美国的GDP增长却持续领先世界上大多数主要经济体。这意味着我们作为一个国家正在变得更加富裕，却显著地变得不那么幸福（下文将详细解释）。
从企业角度来看，这个观点很简单：仅仅提高薪资并不能使人们感到更加幸福。尽管每个人都希望得到公平的报酬，但高薪酬并不直接转化为高参与度。我们2023年的《薪酬公平终极指南》发现，与薪酬水平相比，薪酬公平与员工参与度的关联性高出7倍。
其次，报告指出，在美国，年轻人的幸福感明显低于老年人（这一点并非在所有国家都适用，但在大多数发达国家中是这样的）。在美国，30岁以下人群的幸福评分为6.4，而60岁以上人群的评分为7.3，幸福度低了12%。我们对年轻人的这一低幸福评分使美国在全球青年幸福排行榜上仅位列第62位，远低于我们的总体排名。
这反映出我在上周播客中讨论的现象。如今的年轻工作者担忧全球变暖，他们在年轻时就经历了疫情的冲击，他们对于战争、通货膨胀、社会问题以及政治不和感到沮丧。埃德曼信任度量尺表明，年轻人认为相比政府，企业在为社会带来创新方面更值得信赖，高出近20%。但令人担忧的是，这种信任程度也在下滑。
从企业的视角来看，这进一步强化了播客中提到的观点：我们（美国）的劳动力中位年龄现已达到33岁。这表明许多关键员工对生活的热情有所下降，这迫使雇主需要采取更多措施。我们对企业文化、员工福祉、工作灵活性和个人成长的关注，现在比以往任何时候都显得更为重要。这就是像四天工作周、灵活工作时间以及其他诸多福利（如生育支持、儿童看护、心理健康、健身、财务福利）变得越来越普遍的原因。
（最新的劳动统计局数据显示，我们在福利上的支出占工资总额的31.1%，比三年前的29%有所增加。在信息行业，这个比例高达35.5%，是有史以来的最高值。）
此外，重点强调：对企业来说，重振早期职业发展计划至关重要。许多企业在20世纪60、70年代建立了这些计划，但随后这些计划逐渐被忽视。如果你正在从大学招聘顶尖人才，并投资于校园招聘（这一趋势正在上升），那么确保你有一个坚实的1-2年发展计划、工作轮岗以及面向年轻人的群体参与计划是非常重要的。我最近与康卡斯特讨论了他们的计划，他们的早期职业发展计划正在直接为他们的领导力管道做出贡献。
第三，也是最引人注目的一点是，报告强调了社会关系和信任在幸福感中的巨大作用。进行这项研究的学者团队发现，幸福感的“坎特里尔阶梯”（一个简单的“你觉得自己多幸福”的1-10评分问题）可以分解为六个贡献因素：
人均GDP（财富）、社会支持（密切关系的数量和质量）、预期寿命（健康）、生活选择的自由（按个人意愿生活的能力）、慷慨（向他人给予金钱和时间的倾向）以及腐败感知（相信“系统”是公平的）。
这些因素对幸福的贡献度大开眼界。
令人惊讶的是，社会关系是幸福感的最大贡献者，而健康只占大约1.4%。请注意，第二重要的因素是对腐败的感知或者说是公平感，这解释了为什么薪酬公平非常重要。我们再次发现，财富对幸福感的影响相对较小。
这对我们的工作有何启示？
这里有一些简单的启示：
关系很重要。如果管理层和主管不能建立起团队合作感，员工便会感到不适。尽管我们面临财务和运营压力，但我们仍需抽时间了解员工、倾听他们的声音，并与他们共度愉快时光。通过聚集人员并创建跨功能团队，我们即使在远程工作情况下也能建立社交关系。
信任至关重要。我曾在高层领导贪婪、不忠、不诚实的环境中工作过，公司内的每个人都能感觉到这一点。信任是经年累月建立起来的资产，我们必须不断地进行投资。通过道德、诚实和倾听来培养信任，你的领导模式中包含了这些元素吗？
薪酬的影响可能比你想象的要小。虽然每个人都希望赚更多钱，但人们更希望感觉到奖励是公平且慷慨的。因此，不应仅仅过度奖励表现突出的员工，而忽视其他人的努力。
生活选择的自由极为重要。众多研究显示，与薪资相比，员工更加重视工作的灵活性，因此，考虑将四天工作周和灵活工作选项作为你的雇佣政策的核心部分是非常重要的。
多年前，我在一个人力资源领导者的大型会议上发表了关于企业公民责任的演讲。我指出，公司就像小型社会一样，如果我们的企业“社会”不公平、不透明、不自由，那么我们的员工就会感受到痛苦。演讲结束时，我不确定听众的反应如何，但来自宜家的一大群人向我走来，给了我一个热情的拥抱。宜家这家公司，深深植根于瑞典的社会主义文化，是地球上最长久的公司之一。他们真心相信集体思维、公平和对每个个体的尊重。
原文来自：https://joshbersin.com/2024/03/what-the-world-happiness-report-can-teach-us-about-work/
Flexibility
2024年03月22日
Flexibility
Josh Bersin谈How To Create Talent Density 如何打造人才密度
Josh Bersin发表文章谈到：在过去几年里，我注意到大公司的表现开始不如小公司。我们现在看到苹果和谷歌都出现了这种情况，而微软应对这一挑战也有相当长的一段时间了。 随着公司的发展，帮助我们推动组织绩效的一个重要理念就是人才密度。这篇文章讨论了人才密度的概念，即公司中技能、能力和表现的质量和密度。强调传统的员工绩效评估模型已导致平庸。建议采用人才密度方法，包括招聘增加或乘数效应的人才，基于帕累托分布管理绩效，以及专注于赋权、反馈和领导力。文章强调，为了创新和市场竞争力，尤其在AI和技术进步的背景下，维持高人才密度的重要性。
In this (long) article, I want to talk about a new concept called Talent density. And as I pondered the concept I think it represents one of the more important topics in management. So I hope you find it as interesting as I do.
First of all, the concept of talent density, pioneered by Netflix by the way, is simple.
Talent Density is the quality and density of skills, capabilities and performance you have in your company.
So, if you have a company that is 100% high performers, you’re very dense. If you have a company that’s 20% high performers, you’re not very dense. It’s easy to understand, but hard to implement, because it gets to the point of how we define performance, how we select people to hire, how we decide who’s going to get promoted, how we decide who’s going to work on what project and how we’re going to distribute pay.
So before I explain talent density, let’s talk about the basic beliefs most companies have. Most organizations believe that they’re operating with a normal distribution or bell curve of performance. I don’t know why that statistical model has been applied to organizations, but it has become almost a standard policy. (Academics have proven it false, as I explain below.)
Using the bell curve, we identify the “mean” or average performance, and then categorize performance into five levels. Number ones are two standard deviations to the right and number fives are two standard deviations to the left.
The people operating at level one get a big raise, the people operating at level two get medium raise, the people operating at level three get an average raise, the people operating at level four get a below average raise and the people operating at level five probably need to leave. Lots of politics in the process, but that’s typically how it works.
As I describe in The Myth of The Bell Curve, these performance and pay strategies have been used for decades. And at scale they create a mediocrity-centered organization, because the statistics limit the quantity and value of 1’s. If you’re operating at 1 level and you get a 2, you’ll quit. If you’re operating at 3 level, you’re probably going to coast. You get my drift. And since the bulk of the company is rated 2 or 3, most of the managers are in the middle.
As the saying goes, A managers hire A people, B managers hire C people. So over time, if not constantly tuned, we end up with an organization that is almost destined to be medium in performance.
Now I’m not saying every company goes through this process, but if you look at the productivity per employee in large organizations it’s almost always below that of smaller organizations. Why? Because as organizations grow, the talent density declines. (Netflix, as an example, example, generates almost $3M of revenue per employee, twice that of Google and 10X that of Disney. And they are the only profitable streaming company, with fewer than 20,000 employees and a $240 billion market cap.)
The traditional model was fine in the industrial age when we had a surplus of talent, jobs were clearly defined, and most employees were measure by the “number of widgets they produced.” In those days we could swap out a “low performer” for a “high performer” because there were lots of people in the job market.
We don’t live in that world anymore. The world we now live in has sub 4% unemployment, a constant shortage of key skills, and a growing shortage of labor. And thanks to automation and AI, the revenue or value per person has skyrocketed, almost an order of magnitude higher than it was 30 years ago.
So we need a better way to think about performance in a world where companies with fewer people can outperform those who get too big. Look at how Salesforce, Google, Apple, who are essentially creative companies, have slowed their ability to innovate as they get bigger. Look at how OpenAI, who is a tiny company, is outperforming Google and Microsoft.
Today most businesses outperform through innovation, time to market, customer intimacy, or IP – not through scale or “harder work.”
How do we maintain a high level of talent density when we’re growing the company and hiring lots of people? Netflix wrote the book on this, so let me give you the story.
First, the hiring process should focus on talent density, not butts in seats. Rather than hire someone to “fill a role” we look for someone who is additive or multiplicative to the entire team. Hire someone that challenges the status quo and brings new ideas, skills, and ideas beyond the “job” as defined. Netflix values courage, innovation, selflessness, inclusion, and teamwork, for example. These are not statements about “doing your job as defined.”
Netflix’s idea is that each incremental hire should make everybody else in the company and everybody else in the team produce at a higher level. Now this is a threatening thing for an insecure manager because most managers don’t want to hire somebody that could take their job away. But that’s why we have this problem.
Second, we need to manage or create some type of performance management process that is built around the Pareto distribution (also called the Power Law) and not the normal distribution. In the Pareto distribution or the power law, we have a small number of people who generate an outsized level of performance, you can call it the 80/20 rule or the 90/10 rule. (20% of the people do 80% of the work)
Studies have shown that companies and many populations work this way, and it makes sense. Think about athletes, where a small number of super athletes are 2-3 better than their peers. The same thing is true in music, science, and entertainment. It’s also true in sales and many business disciplines.
Research conducted in 2011 and 2012 by Ernest O’Boyle Jr. and Herman Aguinis (633,263 researchers, entertainers, politicians, and athletes in a total of 198 samples). found that performance in 94 percent of these groups did not follow a normal distribution. Rather these groups fall into what is called a “Power Law” distribution.
In every population of human beings there are a few people who just have God-given gifts to outperform in the job, and they just naturally seem to be far better than everyone else.
Bill Gates once told the company that there were of the three engineers that he felt made the company of Microsoft. And I’ve heard this in many other companies, where one software engineer and the right role can do the work of 10 other people.
Now, this is not to say that everybody will fall into one level of the Pareto distribution. At a given point in time in your career, you may be in the 80% and over time, as you learn and grow and find the things that you’re naturally good at, you’ll end up in the 20%. But in a given company this is a dynamic that’s constantly taking place. And that’s what Netflix is doing – constantly working on talent density.
What does this mean for performance management? It means that in order to care for a population like this, we have to hire differently, avoid the bell curve, and pay high performers well. Not just a little more than everybody else, a lot more. And that’s what happens in sports and entertainment, so why not in business.
If you look at companies like Google, Microsoft, and others, there are individuals in those companies that make two to three times more than their peers. And as long as these decisions are made based on performance, people are fine with it.
What obviously does not work is when person making all the money is the person who’s the best politician, best looking, or most popular.
And that leads me to item three: In the Netflix culture there’s a massive amount of empowerment, 360 feedback, candor and honesty. You’ve probably read the Netflix culture manifesto: it’s all about the need for people to be honest, to speak truth, to give each other feedback, and to focus on judgement, courage, and accountability. Netflix only recently added job levels: they didn’t have job levels for many years.
Giving people feedback is a challenge because it’s uncomfortable. So this has to to start at the top and it has to be done in a developmental, honest way. This does not mean people should threaten or disparage each other, but we all need to know that at the end of a project or the end of the meeting it’s okay for somebody to tell us “here’s what was great about that and here’s what wasn’t great about it.”
One of the most important institutions in the world, the US military lives, eats and dies by this process. If you’re in the military and you mess something up, you can guarantee that somebody’s going to tell you about it, and you’re going to get some help making sure you don’t do it again. We don’t have life or death situations in companies, but we can certainly use this kind of discipline.
The fourth thing that matters in talent density is leadership and goal setting. One of the things that really gets in the way of a high performing company is too many individual goals, too many siloed projects and responsibilities and people not seeing the big picture.
If your goal setting and performance management process is 100% based on individual performance you are sub-optimizing your company. Not only does this work against teamwork, but there really isn’t a single thing in a company that anybody can do alone. So our performance management research continuously shows that people should be rewarded for both their achievements as well as that of the team. (Here’s the research to explain.)
Why is talent density important right now? Let me mention a few reasons.
First, we’re entering a period of low unemployment so every hire is going to be challenging. And thanks to AI, companies are going to be able to operate with smaller teams. What better time to think about how to “trim down” your company so it’s performing at its best?
Second, the transformations from AI are going to require a lot of flexibility and learning agility in your company. You want a highly focused, well aligned team to help make that happen. And while AI will help every company improve, your ability to leverage AI quickly will turn into a competitive advantage (think back about how web and digital and e-commerce did the same).
(I firmly believe the companies with the most ingenious applications of AI will disrupt their competitors. I’m still amazed at Whole Food’s hand recognition checkout process: I can see self-service coffee, groceries, and other retail and hospitality coming.)
Third, the post-industrial business world is going to start to devalue huge, lumbering organizations. Many big companies just need a lot of people, but as Southwest Airlines taught us long ago, it’s the small team that performs well. So if you can’t break your company into small high-performing teams, your talent density will suffer.
When the book is written on Apple’s $10 Billion car, I bet one problem was the size and scale of the team. We’ll see soon enough. By the way, I still recommend everyone read “The Mythical Man-Month,” which to me is the bible of organizing around small teams.
What if you’re a healthcare provider, retailer, manufacturer, hospitality company? Does talent density apply to you? Absolutely! Go into a Costco and see how happy and engaged the employees are. Then go into a poorly run retailer and you’ll feel the difference.
In my book Irresistible I give examples of companies who embrace what I call “the unquenchable power of the human spirit.” Nobody wants to feel like they’re underperforming. With the right focus on accountability and growth we can help everyone out-perform their expectations.
Now is a time rethink how our organizations work. Not only should we promote and reward the hyper-performers, the Pareto rule and Talent Density thinking encourage us to help mid-level performers learn, grow, and transform themselves into superstars.
Let’s throw away the old ideas of bell curve, forced distribution, and simplistic performance management. Companies that push for everlasting high performance are energizing places to work, they deliver outstanding products and services, and they’re great investments for stakeholders.
AI中文翻译：
在这篇篇幅较长的文章中，我想探讨一个被称为“人才密度”的新概念。思考此概念时，我认为它是管理领域中极其重要的议题之一。希望您能像我一样发现其趣味性。
首先，Netflix首创的“人才密度”概念其实很简单。
人才密度指的是公司内部技能、能力和表现的质量与密集程度。
换句话说，如果你的公司全是高绩效人才，那么你的“人才密度”就很高。如果只有20%是高绩效人才，那么你的“人才密度”就不高。这个概念虽然容易理解，但实际执行起来却颇具挑战，因为它涉及到我们如何定义绩效、招聘员工的标准、晋升决策、项目分配以及薪酬分配。
在详细解释“人才密度”之前，让我们先看看大多数公司的基本信念。许多组织相信，他们的员工表现遵循一个正态分布或钟形曲线。这个统计模型为何被广泛应用于组织之中，我并不清楚，但它几乎已成为标准做法。（实际上，如我下文将解释的，学术研究已证明这一模型是错误的。）
采用钟形曲线，我们确定平均表现（即“平均线”），然后将员工的表现划分为五个等级。表现最好的被归为一级，标准为右偏两个标准差；表现最差的被归为五级，左偏两个标准差。
一级表现者获得大幅度加薪，二级表现者获得中等加薪，三级表现者获得平均水平的加薪，四级表现者加薪低于平均，五级表现者可能就需要离开公司了。虽然这个过程充满了政治操作，但这就是它通常的运作方式。
正如我在《钟形曲线的神话》中所述，这些关于绩效和薪酬的策略已经使用了数十年。而且，当这些策略在大规模下实施时，它们会造成以平庸为中心的组织文化，因为这种统计方法限制了顶尖人才的数量和价值。如果你是一级表现者却被评为二级，你很可能就会选择离职。如果你是三级表现者，你可能就会选择安于现状。你应该明白我的意思了。而且，由于大部分员工的评级为二级或三级，大多数管理者也就处于中等水平。
常言道，A级的管理者招聘A级人才，B级的管理者则招聘C级人才。因此，如果不持续进行优化调整，组织最终几乎注定会变得中庸。
我并不是说每家公司都会经历这一过程，但如果你查看大型组织的员工生产率，通常都低于小型组织的生产率。为什么呢？因为随着组织规模的扩大，“人才密度”往往会下降。（以Netflix为例，其每名员工创造的收入几乎为300万美元，是Google的两倍，是迪士尼的十倍。他们是唯一盈利的流媒体公司，员工不足20,000人，市值2400亿美元。）
在工业时代，人才供过于求，工作职责明确，大多数员工的表现以“生产的产品数量”来衡量。那个时候，低绩效者可以轻松地被高绩效者替换，因为劳动市场上有大量的人才可供选择。
但我们不再生活在那个时代了。在我们现在的世界里，失业率低于4%，关键技能持续短缺，劳动力整体也日益减少。而且，得益于自动化和AI技术，每位员工创造的收入或价值比30年前高出了几个数量级。
因此，在一个人员更少的公司可以超越体量更大的公司的世界中，我们需要一种更好的绩效思考方式。看看Salesforce、Google、Apple这些本质上依靠创新的公司，随着规模扩大，它们的创新能力如何变缓。再看看OpenAI，尽管是一个小公司，却在超越Google和Microsoft。
如今，大多数企业通过创新、市场响应速度、客户亲密度或知识产权而非规模或“更加努力的工作”来实现超越。
在我们不断发展公司并招聘大量人员的同时，我们如何保持高水平的“人才密度”？Netflix在此领域有着开创性的工作，让我来分享一下他们的故事。
首先，招聘过程应专注于提高“人才密度”，而不是仅仅为了填补空缺。我们寻找的不是简单地“填补一个角色”的人，而是能够为整个团队带来正面或倍增效果的人才。我们寻找的是那些能够挑战现状、带来新观点和技能，并超出传统“工作定义”的人。例如，Netflix重视勇气、创新、无私、包容和团队合作等价值观，并不仅仅是“完成既定工作”。
Netflix的理念是，每一次新增的招聘都应该使公司内每个人和团队的每个成员的生产力得到提升。这对于那些缺乏安全感的管理者来说可能是个挑战，因为大多数管理者并不希望招聘可能会取代他们的人。但正是这种思维方式导致了我们当前的问题。
其次，我们需要建立或改进一种围绕帕累托分布（也称作幂律分布）而非正态分布的绩效管理流程。在帕累托分布或幂律分布中，少数人贡献了超出常规的绩效水平，这可以称作80/20规则或90/10规则。（即20%的人完成了80%的工作）
研究显示，许多公司和人群实际上都是以这种方式运作的，这是合理的。想想那些在体育、音乐、科学和娱乐领域表现出色的人，其中少数顶尖人才的表现是同龄人的两到三倍。销售和许多商业领域也是如此。
2011年和2012年由Ernest O’Boyle Jr.和Herman Aguinis进行的研究（涵盖了633,263名研究人员、艺术家、政治家和运动员，共198个样本）发现，这94%的群体的表现并不遵循正态分布，而是呈现所谓的“幂律分布”。
在每个人群中，总有少数人因为天赋异禀，在工作中表现出色，自然而然地比其他人优秀得多。
比尔·盖茨曾经对微软说过，他认为公司中的三名工程师是公司的基石。我也在许多其他公司听到过类似的故事，其中一位软件工程师在合适的位置上可以完成其他十人的工作量。
这并不意味着每个人都将被归入帕累托分布的某一层级。在你职业生涯的某个阶段，你可能处于80%的群体中，但随着你不断学习、成长并找到自己真正擅长的领域，你最终可能进入20%的群体。但在任何一个公司，这种动态都在不断发生。这就是Netflix一直在努力提升“人才密度”的原因。
这对绩效管理意味着什么？这意味着，为了照顾这样一个群体，我们必须采取不同的招聘方式，避免使用钟形曲线，并且为高绩效者提供丰厚的薪酬。这不仅仅是支付比其他人稍微多一点的薪水，而是要多得多。这在体育和娱乐领域已经是常态，那么为什么不可以应用到商业领域呢？
如果你观察Google、Microsoft等公司，你会发现，这些公司中的个别人物赚取的收入是他们同事的两到三倍。只要这些决策基于绩效，大家通常都能接受它。
当然，不起作用的情况是，赚取高薪的是那些最擅长政治、外表最出众或最受欢迎的人。
这就引出了第三点：在Netflix的文化中，存在着大量的授权、360度反馈、直率和诚实。您可能已经读过Netflix的文化宣言，它强调人们需要诚实、坦诚、互相提供反馈，并专注于判断力、勇气和责任感。直到最近，Netflix才引入了职级制度——在很多年里，他们根本没有职级制度。
提供反馈是挑战性的，因为这会使人感到不适。因此，这个过程必须从高层开始，并以一种促进发展、诚实的方式进行。这并不意味着人们应互相威胁或贬低，但我们都需要明白，在项目结束或会议结束时，对方告诉我们“这是成功之处，这是失败之处”是完全可以接受的。
美国军队是世界上最重要的机构之一，它依靠这种过程生存、发展和克服困难。如果你在军队犯错，你可以确信会有人告诉你，并且你会得到帮助以确保你不会再犯同样的错误。虽然公司里没有生死攸关的情况，但我们完全可以借鉴这种纪律性。
在“人才密度”中很重要的第四点是领导力和目标设定。阻碍高绩效公司发展的一个常见问题是过多的个人目标、孤立的项目和职责，以及员工无法看到整体大局。
如果你的目标设定和绩效管理过程完全基于个人表现，那么你就在削弱你的公司。这不仅阻碍了团队合作，而且实际上没有什么是公司内任何人能够独立完成的。因此，我们的绩效管理研究不断表明，人们应该同时因其个人成就和团队成就而获得奖励。（这是相关的研究。）
为什么“人才密度”在当前尤为重要？我来列举几个原因。
首先，我们正处于一个失业率低的时期，因此每次招聘都将是一个挑战。而且，随着AI技术的帮助，公司将能够以更小的团队运作。在这样一个时刻，有什么比考虑如何“精简”你的公司、使其发挥最佳表现更合适的时机呢？
其次，随着AI的变革，你的公司将需要极大的灵活性和学习适应能力。你需要一个高度专注、良好协调的团队来实现这一目标。而且，尽管AI将帮助每个公司提高效率，但你快速应用AI的能力将变成一个竞争优势（回想一下网站、数字化和电子商务如何实现了同样的事情）。
（我坚信，那些能够巧妙应用AI的公司将会颠覆它们的竞争对手。我对Whole Foods的手掌识别结账过程仍感到惊讶：我预见到自助服务咖啡、杂货及其他零售和酒店业务的出现。）
第三，后工业时代的商业世界将开始贬低庞大、笨重的组织。许多大公司只是需要大量员工，但正如西南航空所示，小团队的表现通常更好。因此，如果你无法将你的公司划分为小型高效团队，你的“人才密度”将受到影响。
当有关Apple的100亿美元汽车项目的书籍编写时，我敢打赌问题之一将是团队的规模和规模。我们很快就会发现。顺便说一下，我还是推荐每个人阅读《神话般的人月》，对我而言，这本书是关于围绕小团队进行组织的经典之作。
如果你是医疗服务提供者、零售商、制造商或酒店业者，“人才密度”是否适用于你？当然适用！走进一家Costco，看看员工是多么的开心和投入。然后走进一个管理混乱的零售商，你就能感受到区别。
在我的书《不可抗拒》中，我列出了那些拥抱我所称之为“人类精神不可磨灭力量”的公司的例子。没有人愿意觉得自己表现不佳。通过适当的关注责任和成长，我们可以帮助每个人超越他们自己的期望。
现在是时候重新考虑我们的组织如何运作了。我们不仅应该提升和奖励顶尖表现者，帕累托法则和“人才密度”思维还鼓励我们帮助中等表现者学习、成长，并将自己转变为明星。
让我们抛弃旧的钟形曲线、强制分配和简单化绩效管理的想法。不断追求高绩效的公司是充满活力的工作场所，他们提供卓越的产品和服务，并且对投资者而言是极好的投资。
Flexibility
2024年03月10日
Flexibility
滴滴出行选用NICE，以提供基于实时 AI 的个性化服务NICE has partnered with DiDi Global to enhance customer and employee experiences through its cloud-based Workforce Management (WFM) and Employee Engagement Manager (EEM) solutions. This collaboration aims to streamline DiDi's global contact center operations, improving operational efficiency and customer satisfaction with AI-driven forecasting and scheduling. The implementation of NICE's solutions facilitates real-time management and self-scheduling for agents, boosting employee engagement and operational efficiency. DiDi's choice of NICE highlights the importance of advanced, flexible technology in supporting the dynamic needs of modern, app-based transportation services.
领先的移动出行平台通过利用 NICE 的客户体验 AI 技术，使其员工能够提供轻松且高效的客户服务体验
新泽西州霍博肯-NICE (纳斯达克: NICE) 今日宣布，滴滴出行已经选用了 NICE 劳动力管理 (WFM) 和员工参与管理 (EEM) 作为其云端创新技术的一部分。滴滴现在可以全面预测、规划和管理其全球客户联系中心的运作；同时提升运营效率和员工的参与度，并确保客服代表能够在首次通话中解决问题。Betta作为全球最大的 WFM 客户群之一的支持者，在实施过程中与 NICE 价值实现服务携手合作，负责执行集成，并在多国提供咨询、培训和支持服务。
滴滴出行寻求一种能够满足其核心业务、功能及技术需求，并能够随公司成长而扩展的劳动力管理解决方案。NICE WFM 结合了 AI 技术与灵活性，能够满足跨多个大洲、具有特定区域特色的运营需求，这不仅成本效益高，而且精确度高，确保维持最佳的服务水平。通过精准预测，确保在合适的时间有合适技能的代理人，从而大幅提升客户满意度。
通过引入 NICE EEM，可以实时解决人员配置需求，使得客服代理能够自我调节工作时间表，从而增强员工参与度和工作满意度。此外，利用智能日内自动调整功能，能够主动地进行调整，预防问题的发生。
滴滴出行国际客户体验执行总监 Caio Poli 表示：“基于多个考量因素，NICE 显然是我们的首选。我们寻找的是一个顶尖的云端劳动力管理解决方案，能够使我们的全球运营在保证运营效率和员工参与度的同时，提供卓越的客户体验。NICE 的智能日内自动化功能给我们留下了深刻印象，我们的选择是基于 AI 驱动的策略以及云技术的速度和灵活性。”
NICE 美洲总裁 Yaron Hertz 表示：“随着滴滴持续全球扩张，NICE 很高兴有机会为这家数字时代最具创新和活力的应用型运输公司之一提供服务。我们相信，通过采用 NICE 的 AI 驱动预测和机器学习来进行最适合的调度安排，对于联系中心和员工而言，这将有助于推动滴滴的未来发展。”
关于滴滴出行公司
滴滴出行公司是一个领先的移动技术平台，它在亚太地区、拉丁美洲及其他全球市场提供一系列基于应用的服务，包括网约车、叫车服务、代驾以及其他共享出行方式，还涵盖某些能源和车辆服务、食品配送和城市内部货运服务。滴滴为车主、司机和配送伙伴提供灵活的工作和收入机会，致力于与政策制定者、出租车行业、汽车行业及社区合作，利用 AI 技术和本地化智能交通创新解决全球的交通、环境和就业挑战。滴滴力图为未来城市构建一个安全、包容和可持续的交通与本地服务生态系统，以创造更好的生活体验和更大的社会价值。更多信息，请访问：www.didiglobal.com
关于 NICE
借助 NICE (纳斯达克: NICE)，全球各地不同规模的组织现在可以更容易地创造卓越的客户体验，同时满足关键的业务指标。作为世界领先的云原生客户体验平台 CXone 的提供者，NICE 是 AI 驱动自助服务和代理辅助客户体验软件领域的全球领导者，服务范围超出了传统的联系中心。超过 25,000 个组织在超过 150 个国家，包括 85 家以上的财富 100 强公司，都选择与 NICE 合作，以改造并提升每一次客户互动。www.nice.com
商标说明：NICE 和 NICE 标志是 NICE Ltd. 的商标或注册商标。所有其他标志属于它们各自的所有者。NICE 商标的完整列表，请访问：www.nice.com/nice-trademarks。
Hiring Trends 2024: For Tech And Digital Global Employers
ANWESHA ROY 8 MINUTE READ
The hiring landscape has gone through a lot of fluctuations in the last two years. The United States and the European Union (EU) fell into recession, triggering widespread panic amongst tech and digital companies. Businesses had to lay off a large chunk of their workforce as a cost-cutting measure, some even freezing hiring temporarily.
Fast-paced digital agencies and startups understood that they needed a flexible hiring approach to adapt to these circumstances. They realized that hiring remote talents from offshore locations like LatAm, East EU, East Asia, and India was a viable way to grow their workforce. Recruiters soon realized that they needed to prioritize both skills and cultural adaptability while looking for remote talents. Hiring platforms emerged as the helping hand in this matter, with their comprehensive solutions geared to deliver a fast and reliable hiring experience.
In this blog, we will discuss these developments and other hiring trends for 2024, and the job roles that will grow in the near future.
Hiring Trends That Will Define 2024
Adaptable hiring strategies will help tackle the talent shortage
Remote hiring for remote positions is here to stay
Skill-based hiring will gain more prominence
India’s rising talent pool to meet global needs
Talent expectations from global employers are changing
Organizations will look for culture-fit talents
Emergence of hiring platforms
Artificial Intelligence (AI) and Machine Learning (ML) will play a crucial role in optimizing the hiring process
1. Adaptable hiring strategies will help tackle the talent shortage
By 2030, the global tech talent shortage will rise to 85.2 million, leading to a massive loss in revenue. Global employers will be more careful and strategic when hiring in 2024. The demand-supply gap of skilled tech and digital talents is growing every year, which means startups have to work harder to onboard the best talents. They will also look to hire remote talents from offshore locations to upscale as per their budget and resources.
2. Remote hiring for remote positions is here to stay
In 2023, tech and digital startups have to deal with the growing tech talent shortage amidst a precarious global economic scenario. Remote hiring is the most viable solution for these organizations, as they can easily access skilled and cost-effective talents across the globe, with a faster hiring process. Even companies following on-site or hybrid workstyles are hiring certain roles remotely, due to its benefits. contract hiring – uncertain economic conditions are compelling companies to hire full-time long-term contractual employees for flexibility and scalability. Global employers are also open to long-term contractual engagements for full-time employees, to ensure flexibility and scalability.
The number of startups hiring remotely has grown from 900 in 2019, 2,500 in 2020, and 14,000+ in 2022. With a growing number of talents preferring remote workstyle, companies will be able to retain their top talents by setting up distributed teams instead of strictly adhering to local hiring.
3. Skill-based hiring will gain more prominence
92.5% of companies have seen a reduction in their mis-hire rate when implementing skills-based hiring, with 44% reporting a decrease of more than 25%. Going ahead, the qualification of a candidate will be defined by their hard and soft skills, and not just their education and work experience. Technical skills, problem-solving abilities, leadership, adaptability, and more will be closely evaluated by companies. A study shows that hiring for skills is five times more predictive of job performance than hiring for work experience.
To drive this initiative, startups will rely on vetting tools and integrate them within their hiring process. The assessment will be tailor-made for tech and digital roles to aid in finding the most suitable talent. Furthermore, startups have to drop degree requirements from job descriptions and become more specific about the capabilities they are looking for.
4. India’s rising talent pool to meet global needs
Contrary to the talent crisis across the globe, India is generating tech and digital talents consistently in large numbers. Their tech talent pool has grown by 120% in the last five years, with two million STEM graduates every year. The country also has a surplus of 2.5 million digital talents, presenting a great opportunity for global employers.
The average salaries of Indian talents is lower than that of US, EU, and AUS talents, which means global companies can hire equally or better-skilled professionals at a lesser cost.
India also has a wide network of talents specializing in emerging technologies. The number of Indian AI experts on LinkedIn has grown by 14x in the last seven years, the 5th fastest growth after Singapore, Finland, Ireland, and Canada.
These reasons have helped India become the most preferred talent-sourcing hub in the world.
5. Talent expectations from global employers are changing
The global labor market is very tight and the talents have an upper hand in deciding their next employer. To remain competitive, startups have to reexamine their hiring strategies and cater to what the top talents are looking for.
A study reveals that top Indian remote talents want better pay, good work-life balance, and prospects of career growth while choosing an employer. Before hiring from India, global employers have to prepare an offer that fulfills the expectations of these talents.
6. Organizations will look for culture-fit talents
Technical proficiency makes a candidate qualified for the job role, but a cultural fitment aligns makes them the perfect addition to the organization. Both large-scale companies and startups need talents who take initiative, have a positive attitude, and handle situations in a non-confrontational manner. Such skills will uphold the work environment and promote a healthy culture. An org-culture fit talent will be more engaged and satisfied with their job than just a skilled professional.
Finding and hiring culture-fit professionals also impacts the retention rates, as a study shows that 73% of talents have left a job due to poor cultural fitment.
7. Emergence of hiring platforms
According to a 2022 survey by Upwork, 50% of businesses outsource at least some of their work. Of those businesses that outsource, 38% use hiring platforms to find freelancers and contractors. Another report reveals that 48% of companies are planning to increase their use of hiring platforms for offshoring in the next two years.
Hiring platforms offer a number of advantages to businesses, including access to a large pool of skilled and experienced freelancers and contractors, the ability to scale their workforce up or down as needed, and cost savings on labor costs. They also help in vetting candidates to find the right technical and cultural fit, helping in making an informed hiring decision. With their end-to-end solutions, hiring platforms help both fast-paced businesses and enterprises in upscaling confidently within a short period of time.
8. Artificial Intelligence (AI) and Machine Learning (ML) will play a crucial role in optimizing the hiring process
44% of recruiters find AI useful in shortening the hiring cycle, which is the main priority, 32% found it a good way to cut down overhead costs, and 24% found it helpful in identifying the right talents.
Studies suggest that it takes 29 to 66 days to fill tech-based vacancies, which is a very long hiring cycle for startups. In a fast-paced environment with constant deadlines, open roles must be filled as quickly as possible. As time is of the essence, startups are beginning to leverage Artificial Intelligence (AI) and Machine Learning (ML) in their hiring process.
By reducing the time to hire, small-scale startups are also able to cut down overhead and operational costs. In fact, AI/ML have helped companies in North America cut down their costs by 40%, in Europe by 36%, and in the APAC region by 25%.
Application Tracking System (ATS) is also being used by startups to ensure a seamless hiring process. The ATS is useful in organizing applications, managing communications, and tracking the status of candidature. 99% of Fortune 500 Global companies are using ATS for an elevated hiring experience and short cycle, so why shouldn’t startups? After all, it oversees all the tedious processes in hiring, so managers can focus their energy on decision-making and other important tasks.
Region-wise Job Roles Which Will Grow In Demand in 2024
United States
Europe
Australia
According to a survey by NASSCOM, future skills demand is expected to grow to 3.5-3.7 million by 2024, rising from the present 1.2-1.3 million currently employed by the industry. Building on that, here are a few predicted jobs that will be in demand in the next few years, sorted region-wise.
United States
The United States is leading the world in next-gen technology, which reflects in their plans to hire more cloud engineers, machine learning engineers, data scientists, and salesforce developers. The digital sector is also growing at an average of 8.5% CAGR, and the startups are looking to hire more web developers, ad specialists, UI/UX designers, and digital marketing managers.
Europe
European tech startups will focus increasingly on their core services and hire more front-end developers, DevOps engineers, and blockchain developers. Similarly, digital companies will look for PHP developers, web developers, and digital marketing managers. SaaS-based startups in the EU will focus on building next-gen products and user privacy, which is why they will hire more product managers, customer success managers, and security engineers.
Australia
Despite fears of recession, Australian tech startups are focussing on resilient hiring to support their services. They will look to onboard more back-end developers, database administrators, and systems engineers. In the digital sector, SEO specialists, web analytics specialists, and digital sales representatives will be in demand. SaaS-based startups in the country will focus on better customer service by hiring account executives, customer success managers, and e-commerce managers.
Jobs created by AI to look out for in 2024
Prompt Engineer
Prompt engineers are experts in designing and developing AI-generated text prompts for improving the AI prompt generation process for several applications. They use data analysis and programming skills to deliver an elevated user experience in tech and SaaS products.
AI Trainer
AI trainers are responsible for teaching AI systems how to think and interact with users. They work with the development team to ensure the chatbots and virtual assistants respond to customer queries and resolve them effectively. These experts have a strong background in data science, natural language processing (NLP), and machine learning.
AI Auditor
AI auditors evaluate the safety, legality, and ethics of AI systems so they can be put to good use. They review codes, conduct data analysis, and test the systems to ensure the system does not produce biased or discriminatory responses.
Machine Managers
Machine managers oversee the AI-operated hardware and systems, and ensure everything is intact for peak performance. They are responsible for the efficient operation and minimum downtime of AI tools, making them indispensable for the tech sector.
Final Thoughts
The secret to success in talent acquisition is to identify the trends, adapt your strategy, and prepare for the future. It is important to constantly monitor the ever-changing hiring landscape to build a productive workforce for the long run.
As we enter 2024, the major focus for global employers will be on identifying the best candidates for the role and leveraging digital tools for a smarter process. Digital agencies also have to offer what talents seek in their employer in order to improve their chance of hiring the best candidates.
By aligning these hiring trends in advance, global recruiters like digital agencies, IT services companies, and SaaS-based tech companies can stay ahead of the curve and hire methodically.
Flexibility
Flexibility
Flexibility
Flexibility
Flexibility
Flexibility
Flexibility
扫一扫
添加客服
