With AI and automation skyrocketing, leaders should start devising training programs to keep their employees’ future-ready, to help AI professionals’ future proof their career.
How Effective Will Reskilling Be in the AI-Infused Workplace?
A dystopian society or a utopian world? AI projects to transform the future of tomorrow. But will it lead us to a world where prophecies are grounded by false analogies?
What will the future of the workplace look like?
Living in a world where human interaction with computers has become possible, ridesharing apps such as Uber and Lyft are determining the prices of your ride, commercial flights using AI autopilot, and many other examples – it has become easier to envision our lives to get better.
With AI, automation, and robots impacting the way we work, how can we AI-proof our future? With AI disrupting the workforce, it is evident for workers to get anxious about how automation, machine learning, and AI will take upon their jobs.
- Based on a study by Pew Research, 10 advanced and emerging economies (Greece, Japan, Canada, Poland, Argentina, South Africa, Brazil, Italy, U.S. Hungary) expect computers to do more work than humans within the next 50 years or so.
- According to McKinsey, about 80 million workers across the globe will be displaced by robotic automation by 2030.
Certain jobs will vanish in a jiffy while some may change dramatically.
So, if AI and automation make the job market crumble a bit, it’s a sign the time is ticking.
Muriel Clauson, a researcher and founder of Oppticity says,
“I’m a big believer that technology is just one of our colleagues. “It does not replace human workers—the biggest issue is that it can replace them if we’re not properly preparing people to be effective in ways that are [complementary] to tech.”
The plight of the upcoming workforce
More than 75% of the workforce will cover most of the Millennials and Gen Z by 2025 says a research conducted by Forbes. Their needs will vary from the other generations in terms of getting paid.
Accenture also states 61% of business leaders will expect a rise in AI job roles by 2021. Thus, job opportunities for AI engineers will grow immensely.
Sadly, only 3% of the leaders are looking forward to investing in reskilling and training programs.
However, as long as enterprise-AI is concerned, it is crucial to understand that companies should start reskilling their employees soon enough as such that they’re ready for the AI-future.
Develop effective reskilling strategies
Based on the book – Human+Machine: Reimagining Work in the Age of AI by authors Paul R. Daugherty and H. James Wilson, they mentioned stating,
“A widespread misconception is that AI systems, including advanced robotics and digital bots, will gradually replace humans in one industry after another… That may be true for certain jobs, but what we’ve found in our research is that, although AI can be deployed to automate certain functions, the technology’s greater power is in complementing and augmenting human capabilities.”
The era of AI disruption is such that reskilling has become mandatory for all of us today. Technology is getting ahead of us and it is now becoming more evident for leaders to realize the fact that they need to keep their organization at the edge of the market place. Else the skills of a tech professional will remain redundant.
Multiple companies are looking to hire equipped AI professionals having relevant skills. Workplaces and networks are now getting sophisticated, and the amount of accessibility to find technical professionals has drastically grown within the past few years.
Weiting Liu, the founder, and CEO of Codementor says, it is now quite possible to track down technically-abled professionals through platforms such as Codementor offering them the flexibility to scale up or down as per their requirement.
AI certification programs are ideal ways to upgrade skills in this fast-paced AI world. Online certification programs not only offer you the latest skillset but also offer hands-on training in the projects that help solve complex problems.
Skills mapping can be done in multiple ways.
- Evidence-based education followed in traditional models
- Apps to help workers build their career and move ahead
However, for every solution that needs to work, companies must first understand certain elements such as how AI technologies will affect the upcoming processes, building blocks i.e. specific skills humans contribute, and how both these elements interplay.
Sadly, the biggest barrier that is holding companies and organizations from reskilling their workers is because most of them are still not aware of what changes this new-age technology can bring. Yet, no one is properly doing the job of modeling labor data.
Companies must realize the critical situation as such where they quickly need to devise learning and developmental initiatives that will go beyond just acquiring skills.
Multiple AI professionals have moved their careers in the AI field by upgrading their skillset via AI certification programs.
Recognize that your workers are likely fearful of the advancement of AI and automation. As a leader, this is where your responsibility plays a significant role – to get your employees and workers’ jobs ready for tomorrow’s AI future.