Reskilling the Workforce: How AI Can Facilitate Upskilling and Continuous Learning

We all have witnessed the crazy adoption of ChatGPT, and it has now been a daily driver for several industries — be it content or development.

Although the tool has helped in the mainstream adoption of AI, but it has also instilled fear of losing jobs.

The internet is filled with listicles like “10 jobs that AI will replace by 2030,” and the fear is real.

AI is a double-edged sword; in addition to the fear of stealing jobs, AI can help solve the job problems it is touted to create.

For instance, AI has helped in creating job sites like SkillGPT that connect job seekers with recruiters who are passionately looking for people with their skill sets.

The platform offers curated recommendations of candidates with the skills that the job role requires.

Moreover, AI can also assist in upskilling the continuous learning of employees which can help in safeguarding their careers from future disruptions.

Curious to know how? Read to the end of the article.

Why Should Businesses Invest in Upskilling Their Workforce?

In addition to investing in the latest technology, businesses must also invest in employee training.

According to the Workplace Learning report by LinkedIn, 89% of learning and development professionals believe that upskilling employees is crucial to navigating the ever-changing future of work.

LinkedIn Workplace Learning report on retention

To ensure the successful adoption of AI in the workplace, employers need to provide learning opportunities that lead to upskilling and reskilling.

In this way, they can mitigate the potential resistance from employees and foster a healthy human-AI collaboration.

Continuous Learning Needs Generative AI

Even the employees must be willing to stay updated with the latest trends and exhibit the zeal to improve continuously.

As AI gradually gets better (and faster) at performing technical and creative tasks, there will be a spike in demand for robust communication and soft skills.

So on top of technical skills, employees will also need to buckle up their collaboration and leadership skills to stay competitive.

Businesses should be mindful of these factors while crafting their learning and development (L&D) programs.

The programs should be crafted in a manner that results in the holistic growth of their employees.

Jobs Most In Demand and Growing

Drawbacks of the Existing Learning and Development Programs

It is clear that businesses need to invest in upskilling their workforce to maximize profits and productivity.

However, the conventional methods of learning and development (L&D) programs come with several pitfalls that hinder overall success.

Let us explore them in detail:

Generic Curriculum

Everyone has different preferences for learning (such as video and text) and grasping power.

Sadly, traditional learning and development programs attempt to use the “one-size-fits-all” approach.

The courses are usually created once and seldom updated. Plus, they offer little to no customization.

Learning Format

With the advent of TikTok and reels, people’s attention span is at an all-time low!

A survey of TikTok users found that more than 50% of the respondents find it stressful if the video is more than a minute.Click To Tweet

In comparison, the traditional learning materials are in a long format like webinars, PowerPoint presentations, which makes it challenging to learn and retain the information.

Measuring Impact

Several businesses still prefer the classic instructor-led method of delivering the L&D sessions. The downside is that it is time-consuming and challenging to track the sessions’ impact.

How Can AI Augment the Continuous Learning and Development Process?

Now that we are clear on the shortcomings of traditional L&D models, let us address the elephant in the room, i.e., how AI can help solve them.

Microlearning

The training materials need to be short and to the point to instill the learning into the daily workflow. Microlearning can help with that.

Microlearning is all about providing small bits of knowledge pieces instead of an hour-long session.

There are several AI-based platforms that leverage microlearning for L&D. One such platform is Axonify, which focuses on training frontline staff.

With Axonify, businesses can create short pieces of content which can be consumed anytime and even through mobile devices.

For example, bank staff can watch a short clip on the process of daily operations like credit card pre-approval.

It also serves as a knowledge base so that the associates can get answers to pressing questions.

Plus, it also offers tests to reinforce the information being taught and gamifies the entire process through leaderboards.

Through gamification, even employees feel motivated to learn.

Axonify also uses “adaptive learning” to personalize the learning experience for each employee. And it can be further customized based on their topics of interest.

Enhanced Analytics

The AI tools can evaluate the answer sheets and candidates’ performance. This reduces human error and offers accurate results.

It also helps quickly identify the learners’ knowledge gaps and ensures that the continuous learning goals are met.

With AI, businesses can understand the course completion time and preferred learning methods.

Then, all this data can be used to optimize the learning materials for maximum efficiency.

Virtual Reality (VR)

Virtual reality has been in the news lately, especially after Apple announced Vision Pro.

Virtual Reality Apple Vision Pro

The device delivers an immersive experience to the wearer by blending the real and virtual worlds.

Thanks to VR, you can not just capture your moments in the video but also experience depth.

For example, you can shoot your kid’s first birthday. And then you can revisit the moment where you can witness the incredible depth of the cake and the burning candles — as if you are experiencing it for the first time.

On top of personal use, VR also has fantastic use cases when it comes to upskilling the workforce — especially in the healthcare industry.

Employees can be trained to perform complex surgeries using VR simulations.

There are also Operator Training Simulators (OTS) that provide a learning environment identical to the real one.

And they can be used to train operators that handle heavy machinery.

In the nuclear industry, even a slight mistake can have massive repercussions. With virtual simulations, the chances of fatal injuries can be minimized during the learning process.

Bias Reduction

Going with the instructor-led approach can invariably contain biases which can hamper the overall efficiency of the L&D program.

For example,, the instructor can exhibit bias towards certain genders or certain employees during training. This can breed partiality.

AI-based training is free from such biases and prejudices. It instructs and evaluates all the candidates on fair grounds.

Even the personalized learning recommendations are backed by the actual usage data of the users.

Increasing Accessibility

When it comes to employment, the Americans with Disabilities Act (ADA) prohibits businesses from discriminating against people with disabilities.

As businesses become more inclusive, it is crucial to make the learning materials accessible to all kinds of learners. Fortunately, AI can help with this.

For example, Google provides the “Live Caption” feature in the chrome browser that makes it accessible for people with hearing impairments to comprehend video content.

It automatically creates captions for any video being played on the browser.

Likewise, Google has the feature of image descriptions in Chrome. It can describe the content of images and be a game-changer for people with blindness.

With such AI tools, businesses can make their L&D programmers accessible to the masses.

Embracing the Future with AI

It is evident that upskilling the workforce is not an option but rather a necessity to survive in the competitive landscape.

Throughout the article, we have witnessed how AI can revolutionize the HR industry, especially in upskilling the workforce.

Brands such as Dell use AI for their “Learning Studio” to train their employees about future skills, compliance training, and soft skills.

Rather than thinking of AI as a competitor for the human workforce, it should be leveraged as a colleague to elevate their skills and enhance their performance.

 

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How Generative AI is Changing the Marketing Industry

As the business sector continues to grow, so do marketing tactics. New types of marketing tactics allow businesses to stay ahead of the curve and gain a leg up against the competition.

One new type of technology that businesses are developing in their marketing tactics is Generative AI.

Generative AI gives businesses a competitive advantage by helping them produce new content for marketing.

It is a sector that is continuing to grow as businesses and marketing develop. In fact, since 2000, there has been a 14x increase in generativeAI startups.

This shows the potential that AI has and continues to have in assisting businesses in growing their marketing reach toward customers.

What is Generative AI?

Generative AI works by feeding a machine algorithm old content. This old content is then produced into iterations with new content.

Some examples of content that Generative AI can produce include simulations, videos, photos, and more.

The new content can help a business transform and grow its marketing into something new and engaging.

Generative AI’s goal is to teach machine learning systems new ways to artificially think. In turn, the goal is that these systems can create new marketing content.

There are numerous ways that businesses are using Generative AI in their marketing tactics.

Some businesses use Generative AI to solve old problems.

Generative AI allows businesses to create new solutions to old problems – thus furthering their marketing.

Numerous different industries engage in Generative AI use. Some industries that have adopted Generative AI into their marketing include legal/ professional services, financial services, and high-tech/ telecom industries.

Other industries include healthcare, retail and consumer goods, and automotive/ assembly industries.

There is a wide variety of industries adapting Generative AI into their marketing, showing its versatility.

The wide use of industries adapting Generative AI into their marketing sectors also shows the growing use of it throughout the business world.

Generative AI use has grown so much that its use has nearly doubled in the past five years.

How Generative AI Can Help Your Marketing

Generative AI is used in many different ways to assist businesses with their marketing.

The most popular use of Generative AI is for email marketing where it is used for nearly 87% of all business marketing tactics.

Besides that, Generative AI is used in market lead scoring and customer service routing, accounting for nearly 83% of marketing tactics.

Generative AI is also used in marketing via fraud detection (64%), cross-selling, and upselling (63%), as well as for service chatbots.

Not only does Generative AI assist businesses with their marketing, but it also assists their growth and productivity.

In fact, Generative AI can help businesses increase their productivity by nearly 40%.

There are a growing number of new AI startups which are creating new generative marketing AI tools and henceforth new opportunities for businesses.

Some examples of these new AI startups include ChatGPT, Make-A-Video, DALL-E, BARD, and NOVA.

The tools that these AI startups create allow businesses to continue to grow and reach more customers.

For example, NOVA is shown to boost marketing results by nearly 60%-170% for businesses.

This shows how Generative AI is successful at helping boost companies’ marketing strategies.

The Future of Generative AI

It is important to note that AI is still a relatively new technology. Generative AI, therefore, is still being adapted into business models.

However, it is allowing businesses and marketing to grow at new paces. Generative AI, according to experts, is creating endless new possibilities for businesses.

For example, it is creating new opportunities for businesses to market and brand to consumers.

Looking toward the future, the possibilities of Generative AI are only continuing to increase.

For example, there is a convergence of IoT and AI. Specifically, 19% of C-suite executives are “focused on harnessing the benefits of AoIT.

This shows the growing use of Generative AI in businesses, specifically in the C-suite.

Moreso, there is a greater reliance on AI marketing automation.

Specifically, 22% of marketers have reported using marketing automation and AI to personalize communication with consumers.

For example, businesses have used AI to personalize emails, offers, and ads to increase marketing and revenue.

Finally, AI is creating more accessibility for small businesses.

In fact, 31% of small businesses have attested to adopting AI tools as opposed to enterprise brands to assist with their marketing.

In Summary

Generative AI is continuing to forge its way through the tech and business world, creating new marketing opportunities which increase business revenue and productivity.

How Generative AI is Changing Marketing