Jobs of the Future: What Will Work Look Like 5 Years From Now

The current and potential impact of automation on our workplaces and jobs of the future is a hot topic right now. In fact, it’s highly likely you’ve read or heard about statistics explaining how machines are going to change human’s jobs forever. 

At one point or another, we have all had questions about the gravity of the situation when it comes to automation. We have all wondered if we should really worry about machines taking over our jobs, which skills we should actually consider for the future, and how our workplaces are changing with every new trend in technology. 

The echoes of these questions have become louder in the last few months. As the global economies succumb to COVID-19, new work models and ethics are beginning to define a ‘new normal’ which has accelerated the rate at which artificial intelligence and automation are approaching us. 

Should you be scared? No! Should you do something about it? Certainly! What? Let’s find out.

Jobs of the Future


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Solving the COVID Unemployment Tsunami: A Four-Point Plan to Upskill Our Country

The $3 trillion US bailout package was the perfect short-term fix and a wholly inadequate long-term fix. It provided liquidity to struggling businesses. It provided unemployment benefits to the staggering number of workers who are hitting the unemployment lines. But, it did nothing to help workers get back to work because many of those jobs are obsolete and gone forever.

Many companies are going bankrupt and aren’t coming back. Retail is getting crushed. You can bet that any position eliminated in the crisis that can be automated, will be automated. Beyond the obvious elimination of inefficient manual labor, there is a much more disturbing macro trend. For example, artificial intelligence can now read cancer on an x-ray better than a doctor can. 

In short, these “jobs of the past” are gone. The COVID unemployment tsunami is going to accelerate automation.  



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5 Tips for Managing Remote Teams

In recent years, the world of work was slow to shift from having in-office policies to flexible work from home schedules.

Most employers want employees in the office to have easy, unencumbered face time with coworkers to have a free exchange of ideas. 

What’s more, working remotely was reserved for employees with long commutes or that live in other states. 

However, COVID-19 has forced a rapid move to remote work, with many managers finding themselves with a fully remote team for the first time. Managing a remote team can have its challenges, but it can be done.

Here are five tips for managing your newly remote teams. 



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Technology Leader Sue Barsamian Shares Her Leadership Playbook

Transform your Workforce

Great leadership is the foundation of any organization, big or small. Without capable leaders guiding the way, growth is impossible. Effective business leadership requires a skillful captain to navigate the ship, and not simply a passive presence standing near the helm. Quality leadership is active, not static. One person who knows what it takes to be a successful leader is technology veteran Sue Barsamian. 

We sat down with Sue during our recent Udacity Thought Leader Series Webinar to discuss the qualities leaders need to create and manage high-performing, productive teams. Sue’s extensive background in general management, marketing, sales, and engineering is a testament to her reputation as a foremost expert in team development. Currently, Sue serves on the boards of Symantec, Box, Gainsight, and Xactly. Previously, she was the Executive Vice President, and Chief Sales and Marketing Officer at Hewlett Packard Enterprise Software, where she orchestrated the successful spinning-off of the division from HPE and merger with Micro Focus International, to form the world’s seventh-largest software company.



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Q&A with AT&T’s John Donovan

John Donovan, CEO of AT&T Communications sat down with Sebastian Thrun, Udacity’s Executive Chairman as part of Udacity’s ongoing Thought Leader Series to discuss how to lead through change, leverage your employees to turn invention into innovation, and provide teams the skills needed to build tomorrow’s companies.

John manages over 250,000 people. Which begs the question, what’s the key to running an organization that large? For John, it starts with knowing his values, knowing that you’re only as good as the people who work with you and having a relentless focus on training.

“What I noticed early on was how much invention was going on that wasn’t actually going into the innovation. The distinction is invention is the thought and construction and innovation is when it becomes usable to the end user, ” John reflects.

AT&T recognized early on that it needed workers who were trained and ready for the technologies that would drive tomorrow’s business — artificial intelligence, machine learning, data science, and more.

It was a math problem, according to AT&T Communications CEO John Donovan who recounted the challenge to Sebastian. The percentage of the company’s workforce that was highly technical needed to evolve from where it was a few years ago, about 50% who were already highly technical, to some number close to 85% or 90%, according to Donovan.

“You do the basic math,” said Donovan. “You can’t hire your way there and you can’t acquire yourself there. You really have to start with the workforce you have. How can we help our employees know jobs and skills are transforming?”

That’s the problem that many companies are facing as they look to evolve their businesses for a new era. If they don’t have the trained staff today, it’s not really clear how they will get to where they want to be for tomorrow.

Reimagining work requires you to be proactive about y

our workforce planning, according to Donovan. Pivoting the workforce means being able to identify new areas of growth and helping workers acquire the right skills.

AT&T lets employees access an HR system that shows a career path to a future job they may want and lets them plot their course to that job and then map the curriculum needed to get to that job.

“I have to establish competencies along the way just to stay in my current job,” Donovan said. “Then I can add a badge that certifies I’m competent in a new skill. I can add a nanodegree.”

Listen to the entirety of John and Sebastian’s conversation as they discuss:

John’s leadership style and how he deeply cares about relationships
His strategy for getting honest feedback from his peers
The catalysts for workforce transformation

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Educating Our Way Out of the Data Scientist Shortage

It’s no secret that employers are looking for data scientists. They have become the stars of the modern workforce – the most valuable employees.

Companies of all sizes have awoke to the fact that data science, by mining new insights from even decades of accumulated data sets, has the potential to drive efficiencies and increase productivity in ways never previously imagined. Simply put, it has the potential to transform businesses. From Zillow’s home price predictions to Amazon’s recommendation engines, applications of data science have become increasingly accurate, prevalent, and impactful on our everyday lives.

But while “data scientist” has been ranked the “No. 1 Job in America” for three years running now, according to careers website Glassdoor, there’s still a shortage of talent to fill the huge need of employers across every industry. In fact, according to a recent LinkedIn study, businesses across the nation need 151,717 more data scientists right now.

The need is nothing short of stunning.

This is why companies understand that they must increasingly invest in the education of their employees in order to compete in an ever-changing world. At the same time, employees need to recognize that traditional higher education just isn’t designed or equipped  to keep up with the breathtaking pace of technological developments and digital transformation that we see in business every single day. People may intuitively know that learning is a lifelong process. But the modern employees also needs to accept that that continually adding to their skill set is the best way they stay competitive in the job market.

Here’s the reality: Jobs are available. But organizations expect potential employees (and current ones) to have the skills to those critical jobs.

The advantage of this digital transformation is that it’s also changing how we think about education. And it truly can be the answer to solving the data scientist shortage within your company.

This ongoing process of learning can take place digitally and independently of location. E-learning can happen anywhere, anytime: at the workplace, at home, on the train, or in the coffee shop. The subject matter can even be adapted to the precise, tailored requirements of a company. This way, it has maximum added value for employees and employers. For example, last year the automobile company Audi launched its employee “data-camp” training focused on big data and artificial intelligence.

Even companies that specialize in data analysis have recognized their own crying need to create alternatives to the traditional training pathways. After all, they are on the front lines of the digital transformation, and their workers need to have cutting-edge skills.

For example, our customer Alteryx, which develops self-service data analysis software, offers a nanodegree that enables regular employees to become data specialists and to expand their own career opportunities. In this way, companies meet the need for data specialists, while employees sharpen their skill sets, receive additional qualifications and ultimately improve their career opportunities.

It becomes a win-win. Organizations benefit the improved effort of employees. The workers themselves expand their horizons.

Employees who have a background in computer science or mathematics – and interact with numbers, data and programming daily – are ideal candidates in terms of becoming data experts in the company. Udacity’s online course, with concrete sample projects and application examples, is usually enough to give employees the added education they need to take that next step within their own company.

But employees outside of traditional IT departments have opportunities to pursue what is known in the industry as  “Citizen Data Scientists.”The term describes employees who evaluate data but do not program the algorithms themselves. Instead, they use self-service tools. These tools enable the analysis and visualization of large amounts of data with preconfigured workflows. The advantage here is that employees usually know more about the context of the data and can bring that understanding directly into their own departments.

Data isn’t the future. It’s now. And it’s critical to every company in every industry.

Companies are looking everywhere for data scientists. They can be academically trained, educating through  internal further education programs, or this relatively new world of Citizen Data Scientists, It’s clear that businesses need all of them because we live in  a world where data is collected everywhere. It’s clear that companies need to invest in employee training to keep pace with digital transformation.

Faced with this dire shortage of talent, business leaders who want to make the most of data science can’t rely on half-measures and casual hiring processes. What they need is a strategic roadmap toward building data science skills internally and effectively upskilling their talented employees.

Stay tuned for new releases from Udacity Enterprise.

Answering “Yes” to Hard Questions About the SKills Gap, and The Future of Work

A recent article from the University of California’s Chief Innovation Officer, about the impact of disruptive technologies on jobs and skills, poses critical questions about how we connect learning to jobs—today, and in the future.

Future of Work

Everyone from politicians to policy makers, utopianists to university professors, innovators to investors, is talking about the future of work, the fourth industrial revolution, and the automation age. It’s hard to avoid these topics, and if you’re between the ages of, say, 16 and 80, you probably shouldn’t avoid them.

Our work lives are changing, and depending on how we manage the transition, this could either be a new golden age, or a serious shock to the system.

At Udacity, we’re engaged in helping lifelong learners across the globe empower themselves through learning, in order to build rewarding lives and careers. As such, we’re acutely aware of the looming changes—the theories around how it’s going to happen, and what it’s all going to mean.

We engage every day with innovators, educators, students, employees and thought leaders, to better understand what education needs to do, be, and represent as we move forward. We work with recruiters, hiring managers, entrepreneurs, and executives, to better forecast what skills will be needed, where the demand will be, and what career advancement will look like in the days, years, and decades to come. We collaborate with individuals, startups, and global corporations, to better understand how and where the work of the future will happen. In short, we spend a vast amount of time learning from anyone and everyone about what the future holds, and how we can best prepare our students to succeed.

We listen, we talk, we watch, we ask, and we read.

One article that recently impressed us for its ambitious scope, rich degree of insight, and clear-eyed understanding of where the world is heading, is a post by Christine Gulbranson, the Chief Innovation Officer for the University of California System. The article is entitled The Future of Work: The Impact of Disruptive Technologies on Jobs and Skills. Here is a sample of the wisdom Gulbranson shares in this provocative and timely piece:

“It’s not difficult to make some basic calculations about what skill sets will be needed in the future: automate predictable manual labor jobs and the skills demanded for such jobs decreases. More automated factories will increase the demand for hard skills in mechanical engineering, software architecture, coding, algorithms, data structures, data analysis/data science, and machine architecture/design. Increasing gene editing and robotic surgery will increase the demand for software engineers and mechanical engineers who also have medical skills. Move to IoT cities and policy makers and lawyers will need to understand coding, software architecture, economics, and more, on top of what they’re expected to know today.

Clearly with a rise of connected devices and infrastructure, machines, AI, spatial computing, blockchain, and autonomous vehicles, there comes an increase in demand for STEAM skills. However, sitting on top of hard skills is a deep and strong layer for cognitive, analytical, and soft skills. Employers won’t be looking for a degree that signifies what a candidate knows: they will be looking for someone who can learn, combine and analyze, problem-solve, create, and adjust.”

It’s that last sentence that especially resonated with us, because this echoes exactly what we hear directly from employers every single day. The pace of modern business and the rapid advance of technology have significantly altered the hiring landscape in such a way that characteristics such as agility, growth mindset, adaptability, creativity, and grit have emerged as the most important factors in predicting a successful hire.

That’s not to say that acquired skills don’t matter—they do!—but the ability to learn new skills and apply them has become just as important as the skills you already possess.

This is also not to say that educational pedigree doesn’t have a place any longer—it does—but what constitutes credible pedigree is changing rapidly. As we’ve learned in the years since first launching our Nanodegree programs, a Nanodegree credential fulfills a dual role. In addition to affirming your skills acquisition, earning a Nanodegree credential stands as evidence that you are a self-motivated problem-solver who possesses grit and determination.

Gulbranson’s article concludes on a sobering note of caution:

“Finally, as we already know today, if education can’t keep up with changing industry, then the skills gap will hinder technological advancement and adoption.”

She goes on to ask some powerful questions, such as:

  • Are students learning how to learn, handle high complexity, and be flexible?
  • Are they learning how to make the invisible visible, and how to make good decisions using data and analysis?
  • Are there solutions that don’t cost an arm and a leg and last four years when the industry needs a software engineer who is also a psychologist to create a product that detects the mood of drivers and auto-shuts off the car appropriately?

We’re proud to be part of a new generation of learning providers offering opportunities that represent a “yes” answer to all the above, and we’re grateful to innovators like Christine Gulbranson who are out there asking the hard questions, and providing the right answers.

Through your commitment to lifelong learning at your organization, you are helping build rewarding careers for employees, while creating an environment for innovation.

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Visit udacity.com/enterprise to discover how we can help your organization successfully navigate workforce transformation!