How Jobs Will Survive The Future And The Advancement Of Technology

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Martin Reeves: How to build a business that lasts 100 years

Martin Reeves is the Director of the BCG Henderson Institute, BCG’s think tank for new ideas in strategy and management, and a Senior Partner based in New York City.

Reeves has been with the firm for 26 years and focuses on strategy, dividing his time between the Institute and client strategy work across sectors. He is author of a new book on strategy, Your Strategy Needs a Strategy, which deals with choosing and executing the right approach in today’s complex and dynamic business environment, as well as numerous articles in Harvard Business Review and other publications.

  • Efficiency is always important in the short term. Less complex, more efficient, more bang for the buck. However It can kill all hopes of longevity.
  • The average US public company now can expect a lifespan of only 30 years. That is less than half of the lifespan that its employees can expect.
  • The probability that your company will not be around in five year’s time, on average, is now a staggering 32 percent. That’s a one in three chance that your company will be taken over or will fail within just five years.
  • Every small entrepreneurial company naturally thinks and acts biologically. Why? Because it lacks the resources to shape its environment through brute force. It lacks the scale to buffer change, and it’s constantly thinking about the tough odds for a startup to survive


Anthony Goldbloom: The jobs we’ll lose to machines — and the ones we won’t

Anthony Goldbloom is the co-founder and CEO of Kaggle. Kaggle hosts machine learning competitions, where data scientists download data and upload solutions to difficult problems. Kaggle has a community of over 600,000 data scientists and has worked with companies ranging Facebook to GE on problems ranging from predicting friendships to flight arrival times.

Before Kaggle, Anthony worked as an econometrician at the Reserve Bank of Australia, and before that the Australian Treasury. In 2011 and 2012, Forbes named Anthony one of the 30 under 30 in technology; in 2013 the MIT Tech Review named him one of top 35 innovators under the age of 35, and the University of Melbourne awarded him an Alumni of Distinction Award. He holds a first class honors degree in Econometrics from the University of Melbourne.

  • In 2013, researchers at Oxford University did a study on the future of work. They concluded that almost one in every two jobs have a high risk of being automated by machines.
  • Machine learning is the technology that’s responsible for most of this disruption. It’s the most powerful branch of artificial intelligence. It allows machines to learn from data and mimic some of the things that humans can do.
  • The fundamental limitations of machine learning is that it needs to learn from large volumes of past data.We have no chance of competing against machines on frequent, high-volume tasks.
  • The future state of any single job lies in the answer to a single question: To what extent is that job reducible to frequent, high-volume tasks, and to what extent does it involve tackling novel situations?