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How will companies manage skills gaps? More money? More training?

The tech industry has always been a bellwether of progress and with it, the ability of governments, educators and recruiters to keep pace with its changing demands. It’s interesting to remember the days when tech jobs were being decimated. Twenty years ago, Silicon Valley was laying off high tech workers in their thousands. This wasn’t a declining industry. As Wired reported at the time, this was a changing industry, one that had contended with a dotcom boom and bust period and was re-emerging into a decade that would see companies such as Skype, Facebook, Spotify and YouTube launch. The tech industry was not in crisis but in a constant state of flux, re-inventing and demanding new skills to enable innovation.

The best way to think about that is to consider the jobs that didn’t really exist in the early 2000s. Front end developers, UX designers, BI developers, cloud architects, data scientists; all have become specialist areas of work, where skills have evolved rapidly and demanded on-going learning. According to research by Gartner, 29% of the skills that were present in an average job posting in 2018 will be obsolete this year. So, we have a market, where demand for skills is growing and evolving rapidly and seemingly, a smaller pool of relevant candidates with the required skills to do those jobs.

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Are a skills gap and delusional thinking losing the AI race for Europe?

Job killer or job creator? The debate over whether or not AI will decimate or create jobs in the future has been raging for a few years now and while 2018 was a massive year for AI hype, it was also significant for its development.

There are, according to a Harvey Nash Tech Survey, four in ten organisations now using AI in a commercial way, moving beyond experimentation. A recent report from Dun and Bradstreet claims 40 percent of respondents from a survey of 100 execs from Forbes Global 2000 businesses are adding more jobs as a result of AI deployment, with only eight per cent saying they were axing jobs because of AI implementation. In January this year, research firm Gartner revealed that despite talent shortages, the percentage of enterprises employing AI grew 270 per cent in four years.

While most of this is, in all likelihood, machine learning, the intention is clear. Businesses increasingly want to use data science, analytics and automation in their products and infrastructures and are prepared to invest.

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