Skip to main content

Delivering Employee Experience for GenZ with Gen AI

 Your upcoming workforce is Gen Z. Their views on work and the workplace are different from those of your existing workforce. They prioritize employee experience and job satisfaction more than compensation. They don’t hesitate to switch jobs if they do not feel valued and see growth opportunities. If you are not preparing your workplace for Gen Z, you are embarking on a bumpy ride. Generative AI, a new wave in the technology world, promises to help you dodge the workplace challenges rushing towards your business.

Breaking down Gen Z and employee experience

It is important to understand what Gen Z expects at the workplace. Most employers think that money is the only motivation for employees. But this is not applicable for all workplaces and workforces. Let’s dig deeper into this matter. McKinsey did a study on employee preferences based on age groups. As one would think, inadequate compensation is the top reason for leaving a job for most of the existing workforces, that is older millennials and Gen X. But for Gen Z, who might be the minority in your workforce now but soon would be the majority, compensation comes only after career opportunities and meaningful work.

Source: McKinsey

When asked about the reasons for staying in the current job, compensation is the least priority for Gen Z. They are motivated by workplace flexibility, meaningful work, and growth opportunities. This is in contrast with other age groups.

Gen Zers are born after 1997. They didn’t see the birth of the internet but grew up with the internet. So, we call them the true digital natives. They cannot accept traditional practices followed at the workplace and feel uncomfortable using legacy systems. 33% of Gen Z strongly expect their employer to provide modern workplace technologies.

Besides, the youngsters are the least engaged with their work. They easily get bored and burned out and are more prone to switching jobs. If you look at the employee life cycle of these youngsters, their enthusiasm and performance levels are high for the first six months. But within a year, they feel uninspired and demotivated. They want their work to be value-adding but not boring. They want to associate with inspiring leaders who work in a collaborative and semi-formal fashion. In search of challenging opportunities, they may part ways with their current employers.

With all this said, Gen Z are a hard-working population. They are optimistic about the future. At the same time, they feel they are bogged down by emotional barriers such as anxiety, lack of motivation, and low self-esteem. A study by Workforce Institute found that more than one-third of the Gen Zers are anxious about their abilities to be successful at work.

(Source: Workforce Institute)

In a nutshell, factors such as meaningful work, work-life balance, learning, and growth opportunities are the X factors of employee experience for Gen Zers. Your workplace technology should support employees at transactional level while offering support to stay motivated.

Gen Z + Gen AI – A match made in heaven

Gen Zers are quick to embrace modern technology and apply it to their day-to-day life. I’m pretty sure that Gen Z was the happiest when OpenAI launched ChatGPT. For someone who is already in love with Artificial Intelligence technology, generative AI is another reason to love AI more.

I could say it more confidently when Pew Research Center found that 70% of Gen Zers use ChatGPT. Almost 60% of them leverage the generative AI tool to make informed decisions.

Just because they love the AI technology, I wouldn’t say having generative AI at work will enhance employee experience. Generative AI has some potential use cases at the workplace that can open new doors of opportunities. From our conclusions drawn from the previous section – you need to promise the young talent a modern workplace that encourages innovation and creativity. As a first step, you need to eliminate mundane tasks from your business processes in marketing, sales, legal, and supply chain operations.

Companies are now using workplace technologies such as intranets and employee experience (EX) portals. A workplace intranet provides a secure private network for your employees to communicate, collaborate, create content, manage tasks, and drive company culture. Employee experience portals automate workflows – from task planning to leave management to payroll. Without generative AI, these two options work fine. However, integrating generative AI for enterprises will take the usability of these solutions and employee experience to another level.

Intranets and EX portals help employees find information and resources. Sometimes, you may have to read an entire document to find answers to your questions. Imagine the experience when you get more contextual, summarized results. No searching for a needle in the haystack. Generative AI does not just summarize information. It has a creative brain on par with humans. The content creation, including text, images, and videos, capabilities of generative AI free up your employees from those tedious tasks such as email writing and coding. Studies found that programming tasks that would generally take 78 hours, could be done in just 36 hours using generative AI technology. So, your employees can spend more time on brainstorming ideas, discussing strategies, or relaxing with a fresh coffee.

Gen AI adoption for employee experience is on the rise

LinkedIn India did a survey on the implications of generative AI at workplaces. Their report revealed that almost every young professional believes that gen AI will become an invisible teammate in the coming five years. By taking away drudgery, generative AI boosts productivity, addresses challenges at work, and offers better work-life balance for Gen Zers.

In our blogs, we extensively covered how you can leverage generative AI for enhancing employee experience and empowering your young workforce. You can read them here:

Alibaba’s former CEO Daniel Zhang describes the advent of generative AI in the era of cloud computing as a watershed moment. Zhang says, “businesses across all sectors have started to embrace intelligence transformation to stay ahead of the game.”

Organizations across industries worldwide are embracing generative AI technology. For example, world’s second largest company Aramco is betting on AI to transform its employee experience through AI-powered learning and analysis. Genpact is training its one lakh employees globally on generative AI to empower their young workforces. Salesforce is reimagining employee experience with generative AI.

How are you planning your generative AI strategy to attract and retail Gen Z talent?

Don’t know where to start and need expert support?

We’re happy to help. At Saxon, we are helping businesses tap into the true potential of AI and gen AI to become future-ready. You can talk to our experts and explore solutions tailored for your business.

Comments

Popular posts from this blog

Can Agentic AI Make Customer Service Truly Real-Time?

  For years, enterprises have tried to make customer service faster — automating workflows, tightening SLAs, launching 24/7 chatbots. Yet customers still wait — not only for responses, but for reassurance that someone understands. Speed alone doesn’t feel like care anymore. Because real-time isn’t defined by seconds — it’s defined by intelligence that understands intent and acts with empathy. That’s the new frontier of customer experience emerging through Agentic   AI for customer service  — a system of intelligent agents that doesn’t just respond instantly but reasons, learns, and collaborates with humans to make service truly real-time. Are We Solving Problems or Just Replying Faster? Most customer service journeys still begin the same way they did a decade ago — a ticket raised, a call logged, an email sent. Every step that follows is a reaction. Agentic AI for customer service redefines that flow. Instead of waiting for a customer to report an issue, intelligent agent...

Benefits of Business Intelligence in the Insurance Industry

  BI Facilitates Predictive Modelling Apart from storing data and generating reports, some companies are using BI in more transformative ways. Predictive analysis is one of the most unique benefits, and it will likely become the new industry-wide standard in the next few years. Machine-learning algorithms use past insurance claims to predict customer behaviour and incidents of fraud. These predictive models are above the actuarial models currently used throughout. Insurance companies also must collect this data regularly to make the best predictions. Moreover, the data can be outdated or even inaccurate, especially if you’re basing predictions on self-reported customer surveys. Artificial intelligence (AI) and machine-learning models generate a specific predictive “score” for every claim. The more claims that an algorithm is fed, the more accurate the scores become over time. Insurance companies use this BI tool primarily for: Underwriting risk Financial projection ...

Applied AI is a rose – understand the thorny challenges

  Applied AI – the application of AI technology in business, is skyrocketing. An   Accenture report on AI   revealed that 84% of business executives believe that AI adoption would drive their business growth.   Applied AI   empowers businesses with end-to-end process automation and continuous process improvement for greater productivity and profitability. However, applied AI is like a rose garden. AI-powered business applications are enticing, but you should be aware of the thorns surrounding the flowers. You need to use frameworks such as Responsible AI while embracing AI for your business. You should understand potential risks such as adversarial attacks and data poisoning. Understanding these concepts will help you address common hiccups in AI adoption for business before they choke your initiatives.  Responsible AI   Artificial intelligence is powerful. When used responsibly, AI can be a solution to many problems and change the world. It can be the...