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In 2015, Davenport and co-author Julia Kirby published "Beyond Automation" in the Harvard Business Review, in which they laid out five practical steps workers may take to improve their employability against machines.

Addressing knowledge loss at the UK's average rate of staff turnover (around 20% a year, including managers) means that an organizations' bank of remembered know-how and experience can be reduced to homeopathic levels in just a short space of time. Fortunately, not everyone leaves simultaneously and atypical practices like job overlapping and mentoring helps. But given that academics estimate that when employees leave, they take with them up to 90% of their employers' unique knowledge - most of it tacit and nothing of which typically gets into data banks - the compounded attrition of this distinctive component of intellectual capital is still truly massive.

Though US-centric, this Pew Report "Public Predictions for the Future of Workforce Automation" gives some insight to workforce attitudes to automation. Despite their expectations that technology will encroach on human employment in general, most workers think that their own jobs or professions will still exist in 50 years. Heads in the sand, or justifiable pessimism?

CIOs have a major role to play in preparing businesses for the impact that artificial intelligence (AI) will have on business strategy and human employment, according to Gartner, Inc. Gartner predicts that by 2022, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT.

"Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."