The Rise Of The AI Technician

The last few years have seen a boom in artificial intelligence, and still hardly a month goes by without an AI breakthrough that disrupts the market. In industries such as travel, medical, and gaming, computers continue to outperform their human counterparts in startling ways. In almost every news story, AI is mentioned in conjunction with its impact on employment. Some fear that millions of jobs will be lost to the technology. A study by the World Economic forum entitled The Future of Jobs 2018 gives the hard facts; though 133 million new roles will be created by AI technology, 75 million jobs will be displaced by 2022, thus confirming the rise of the AI Technician.

With this net positive concerning job growth, keep in mind that there will be a major shift in location, quality and permanency for the new roles created by AI. The report determined that 54 percent of employees of large corporations would need to increase their skill set to take full advantage of this job growth, so retraining will become an absolute must in the future. Careers in AI technology are going to sweep the world, with 25 percent of companies expecting automation to create new roles.

Making History

Radical, disruptive tech innovation is not a new phenomenon; in fact, for over 250 years there have been breakthroughs in the way we conduct business. When developments like steam power and electricity, even the internet, came into being they were also touted as job market destroyers, but the unemployment rate has stayed between 5 and 10 percent the entire time.

Industries and, therefore, people adapt and new careers emerged from these breakthroughs. Technology has made life better for a great majority of the planet. We mail fewer letters and subscribe to fewer newspapers, but vast storehouses of information have been made freely available and used to build all kinds of new, exciting businesses around the world.

AN infographic showing 4 types of AI robots

The AI Jobs Market

Currently, AI specialists and technicians have a wide variety of job opportunities in many industries.  If you happen to be building a company around an Artificial Intelligence technology like Phrasetech is, you realize that the technology is not intelligent on its own. The technology needs to be taught, nurtured, corrected, and sometimes even scolded. Well, maybe not scolded, but like with any youngster, there are growing pains and corrections along the way.  It is the role of the AI technician to help nurture and teach the technology to ensure its real-world application is useful. In the nimble market of digital creation, these new experts will be paving the way for how we use, develop and master these technologies, thereby helping them reach their full potential.

Here at Phrasetech, our AI technicians are created the world’s most advanced natural language generation platform. With a desire to help companies produce engaging and unique content at scale, our AI technicians are teaching our system on a daily basis. With this knowledge, our system is able to produce the volume level of content not possible by humans alone, with superior quality that human readers are hungry for in large quantities.

The AI Roles

Roles for AI technicians and specialists include:

  • Research Scientists – designing data sets, analyzing information
  • Software Engineers – network development, OS and database applications
  • Developers – application development including scalability, security, testing, etc.
  • Information Security Engineers – safeguard the networks, data, and systems
  • Software Development Managers – design, install, test, and maintain software
  • Java Developers – specialized programming for web development and business applications
  • Software Analysts – prepares software requirements and documents

There are many other new roles that are still just concepts, as AI technology continues to find its place in the world and make impact in multiple industries. For example, AI is becoming proficient at language translation. This has actually created an increase in the demand for human translators. As the cost of doing business lowers with people who speak another language falls, it lowers the risk of corporations wanting to do more overseas business, creating more work for human translators. AI might do simple translation, but humans are needed for nuanced, complex negotiations and other kinds.

An infographic listing the 10 new jobs expected to emerge on 2022

Skills Gap

All this may seem like AI will create a skills gap, eliminating low-skilled workers to create high-skilled roles that cost companies more. On the contrary, the question should be is whether most people can be retrained for a different role that may be a bit more complex. This is what happened when farmers transitioned to factory workers, and factory workers became managers, and so on, during the industrial revolution.

An infographic describing the percentage of hours spent by Human workers vs AI robot workers

The important skills to concentrate on as the AI juggernaut moves forward are digital skills as well as creativity, teamwork, management, and others that machines find more difficult to replicate easily. For instance, there is expected to be a growing demand for financial advisors and investment professionals in East Asia, Western Europe, and the Pacific. Latin America, the Caribbean, the Middle East, North Africa, South Asia, and Sub-Saharan Africa will need assembly and factory workers. North America will need electrical, computer, and software engineers more than ever before.

A list of jobs that are will decline by 2022

A New Field

The power of AI technology is in the rapid interpretation of information, transformed into action or intelligence, as is the case with content creation. The interplay of data and the frequency of events will ultimately determine how smart the technology can become. These AI systems need to be exposed to the complete range of possibilities, from the most common occurrences to the most obscure, to be as effective as possible in their respective applications.

For example, self-driving cars do not just start driving themselves. The companies developing autonomous car innovation cannot put a car on the road without a wealth of experiential information collected as data. Technicians derive the data that powers this AI technology from millions of miles of driving with an actual person behind the wheel while recording video of everything the car “experiences” when on the road. The AI technology then uses the video footage to learn how to drive the car.

Another example is face recognition technology, used to verify identity for security purposes. AI specialists must program the system to check for the same things you and I look at when we meet another human being, our brain functioning to attempt to recognize the other person based on appearance nuances so subtle, they do not even cross our minds.

The Next Generation

It is the same here at Phrasetech; the data we collect includes company and product information rather than facial features or when to make a left turn. We collect information about every aspect of a product, across all industries, and bring this back to be interpreted by our natural language generation platform. Once we feed the product information into the system, it is the AI technician who helps the system convert the data into high-quality content that engages a customer by describing the product in great detail.

Our AI technicians are pushing the very edge of innovation in language generation technology, paving the way forward through constant learning, keen observation, and flexibility to work with any industry. Phrasetech is of the opinion that AI will be the greatest job engine ever seen, across industries, countries, and cultures.

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