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D'Amore McKim School of Business Northeastern University

MBA at Northeastern University

  • CountryUSA
  • Online11 months
  • On campus1 year 6 months
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Northeastern University

MPS in Applied AI at Northeastern University

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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New York University

BS Information Systems & Technology at NYU USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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New York University

BS Leadership and Management at NYU USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Drexel University

MS Robotics and Autonomy at Drexel University

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Drexel University

Master of Business Administration

  • CountryUSA
  • Online6 months
  • On campus1 year
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Northeastern University - College of Engineering

MS in Data Analytics Engineering at Northeastern University - College of Engineering

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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DAmore McKim School of Business Northeastern University

MS Quantitative Finance at Northeastern University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Northeastern University

BS Analytics at Northeastern University USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northeastern University

BS IT at Northeastern University USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Clark University

MS Computer Science at Clark University

  • CountryUSA
  • Online8 months
  • On campus1 year
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DAmore McKim School of Business Northeastern University

MS Business Analytics, Northeastern University

  • CountryUSA
  • Online7 months
  • On campus9 months
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Yeshiva University

MS Biotechnology Management & Entrepreneurship at Yeshiva

  • CountryUSA
  • Online5 months
  • On campus1 year
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Northeastern University

MPS in Analytics at Northeastern University USA

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Northeastern University

MPS in Informatics at Northeastern University USA

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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University of Detroit Mercy

Master of Health Services Administration at UDM

  • CountryUSA
  • Online7 months
  • On campus1 year
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Illinois Institute of Technology

BS Astrophysics at IllinoisTech Chicago

  • CountryUSA
  • Online1 year
  • On campus3 years
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Illinois Institute of Technology

BS Aerospace Engineering at IllinoisTech Chicago

  • CountryUSA
  • Online1 year
  • On campus3 years
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DePaul University

MA Sustainable Urban Development

  • CountryUSA
  • Online8 months
  • On campus1 year
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Clark University

MBA at Clark University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Yeshiva University

MS AI at Yeshiva University

  • CountryUSA
  • Online8 months
  • On campus1 year
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Drexel University

MS Computer Engineering at Drexel University

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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DAmore McKim School of Business Northeastern University

MS Fintech Management at Northeastern University

  • CountryUSA
  • Online11 months
  • On campus1 year
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Northeastern University - College of Engineering

MS in Industrial Engineering at Northeastern University - College of Engineering

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Drexel University

MS in Internet of Things at Drexel University

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Yeshiva University

MS CS at Yeshiva University

  • CountryUSA
  • Online8 months
  • On campus1 year
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Clark University

BS Biotechnology at Clark University, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Washington State University

BS Neuroscience at WSU, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northeastern University

BS Biotechnology at Northeastern University USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Illinois Institute of Technology

BS Computer Engineering at IllinoisTech Chicago

  • CountryUSA
  • Online1 year
  • On campus3 years
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Colorado State University

BS Computer Science at Colorado State, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Clark University

MS IT at Clark University

  • CountryUSA
  • Online8 months
  • On campus1 year
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Northeastern University

MS in Project Management (USA)

  • CountryUSA
  • Online7 months
  • On campus1 year 3 months
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Northeastern University

MS in Organizational Leadership at Northeastern University USA

  • CountryUSA
  • Online7 months
  • On campus1 year 3 months
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Touro University

MS in I/O Psychology at Touro University USA

  • CountryUSA
  • Online5 months
  • On campus1 year
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Northeastern University - College of Engineering

MS in Engineering Management at Northeastern University - College of Engineering

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Drexel University

MS in Engineering Management at Drexel University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Drexel University

MS in Civil Engineering at Drexel University

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Northeastern University - College of Engineering

MS in Advanced and Intelligent Manufacturing at Northeastern University - College of Engineering

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Yeshiva University

MS DAV at Yeshiva University

  • CountryUSA
  • Online8 months
  • On campus1 year
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Drexel University

MS Engineering Management at Drexel University

  • CountryUSA
  • Online8 months
  • On campus1 year
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University of Massachusetts Lowell

MS Engineering Management at UMass Lowell

  • CountryUSA
  • Online7 months
  • On campus1 year
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Clark University

MS DA at Clark University

  • CountryUSA
  • Online8 months
  • On campus1 year
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DAmore McKim School of Business Northeastern University

MS Business Analytics at Northeastern University

  • CountryUSA
  • Online11 months
  • On campus9 months
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Clarkson University

MS Applied Data Science at Clarkson University

  • CountryUSA
  • Online8 months
  • On campus1 year
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Northeastern University

MPS Digital Media at Northeastern USA

  • CountryUSA
  • Online8 months
  • On campus1 year
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Touro University

MS AI at Touro University USA

  • CountryUSA
  • Online7 months
  • On campus9 months
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Touro University

MBA at Touro University USA

  • CountryUSA
  • Online6 months
  • On campus1 year
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DePaul University

MA Digital Communication & Media Arts at DePaul University

  • CountryUSA
  • Online8 months
  • On campus1 year
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DePaul University

Master of Business Administration at DePaul

  • CountryUSA
  • Online7 months
  • On campus1 year
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Drexel University

Master of Business Administration at Drexel University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Northeastern University

BS Psychology at Northeastern University USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northeastern University

BS Digital Communication & Media at Northeastern USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Washington State University

BS Mechanical Engineering at WSU, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northeastern University

BS Management at Northeastern University, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Colorado State University

BS Hospitality Management at Colorado State, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Colorado State University

BS Food Science at Colorado State, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northern Arizona University

BS Business Administration (Finance) at NAU

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northern Arizona University

BS Business Administration (Management) at NAU, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northern Arizona University

BS Business Analytics at NAU

  • CountryUSA
  • Online1 year
  • On campus3 years
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Colorado State University

BS Business at Colorado State, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Northern Arizona University

BS Computer Science at NAU, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Clark University

BS Cybersecurity at Clark University, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Colorado State University

BS Data Science at Colorado State, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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Utica University

Master of Business Administration at Utica University

  • CountryUSA
  • Online5 months
  • On campus9 months
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City University of Seattle

MBA at CityU Seattle

  • CountryUSA
  • Online11 months
  • On campus1 year
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Clarkson University

MBA at Clarkson University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Utica University

MBA at Utica University

  • CountryUSA
  • Online7 months
  • On campus1 year
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University of Detroit Mercy

MHSA & MBA Dual Degree at University of Detroit

  • CountryUSA
  • Online7 months
  • On campus2 years
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University of West Florida

MS IT at UWF, Florida

  • CountryUSA
  • Online8 months
  • On campus1 year
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Central Washington University

MS IT Management at Central Washington University

  • CountryUSA
  • Online8 months
  • On campus1 year 4 months
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Clark University

MS PM at Clark University

  • CountryUSA
  • Online8 months
  • On campus1 year
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DePaul University

MS Supply Chain Management at DePaul University

  • CountryUSA
  • Online7 months
  • On campus1 year
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Touro University

MS Technology Leadership & PM, Touro University

  • CountryUSA
  • Online11 months
  • On campus1 year
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MIT Open Learning

Universal AI Program by MIT

  • CountryUSA
  • Online1 year
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Yeshiva University

MS in Digital Marketing and Media at Yeshiva University, USA

  • CountryUSA
  • Online8 months
  • On campus1 year
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UMass Dartmouth

MS in Data Science at UMass Dartmouth

  • CountryUSA
  • Online8 months
  • On campus1 year
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University of West Florida

MS Data Science at UWF, Florida

  • CountryUSA
  • Online8 months
  • On campus1 year
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University of Nevada, Las Vegas

MS Data Analytics at UNLV

  • CountryUSA
  • Online8 months
  • On campus1 year 3 months
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Touro University

MS DA at Touro University USA

  • CountryUSA
  • Online7 months
  • On campus9 months
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Troy University

MS CS at TROY University

  • CountryUSA
  • Online8 months
  • On campus1 year
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City University of Seattle

MS CS at CityU Seattle

  • CountryUSA
  • Online8 months
  • On campus1 year
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University of Nevada, Las Vegas

MS in Management Information Systems at UNLV

  • CountryUSA
  • Online8 months
  • On campus1 year
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Northern Arizona University

BS Software Engineering at NAU, USA

  • CountryUSA
  • Online1 year
  • On campus3 years
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WHU - Otto Beisheim School of Management

Master of Science in Management

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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WHU - Otto Beisheim School of Management

Master of Science in Finance at WHU

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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WHU - Otto Beisheim School of Management

Master of Science in Entrepreneurship

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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WHU - Otto Beisheim School of Management

Master of Science in Business Analytics

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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International School of Management

MSc in Business Intelligence & Data Science

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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International School of Management

BSc Applied Data Science & Business Analytics, ISM

  • CountryGermany
  • Online1 year
  • On campus2 years
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International School of Management

BS in International Management

  • CountryGermany
  • Online1 year
  • On campus2 years
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Munich Business School

MBA General Management

  • CountryGermany
  • Online6 months
  • On campus6 months
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Munich Business School

Master in Finance (M.A.)

  • CountryGermany
  • Online7 months
  • On campus1 year
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SRH University of Applied Sciences

MBA 90 ECTS at SRH Germany

  • CountryGermany
  • Online6 months
  • On campus1 year
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SRH University of Applied Sciences

MA International Business & Leadership at SRH Germany

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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International School of Management

MSc International Logistics & Supply Chain Management

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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International School of Management

MSc International Management, ISM Germany.

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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University of Applied Management

MS Computer Science 90 ECTS at UAM Germany

  • CountryGermany
  • Online6 months
  • On campus1 year
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International School of Management

Master of Business Administration 90 ECTS

  • CountryGermany
  • Online6 months
  • On campus1 year
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International School of Management

M.A. Strategic Marketing Management at ISM Germany

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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International School of Management

MSc Finance

  • CountryGermany
  • Online7 months
  • On campus1 year 4 months
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Code University of Applied Sciences

B.Sc. Software Engineering

  • CountryGermany
  • Online1 year
  • On campus2 years 6 months
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International School of Management

MSc Psychology & Management at ISM

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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Touro University, Germany

MS in Data Analytics

  • CountryGermany
  • Online6 months
  • On campus9 months
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Code University of Applied Sciences

B.A. Business Management & Entrepreneurship

  • CountryGermany
  • Online1 year
  • On campus2 years 6 months
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University of Applied Management

Executive MBA 60 ECTS at UAM Germany

  • CountryGermany
  • Online6 months
  • On campus6 months
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University of Applied Management

MBA 90 ECTS at UAM Germany

  • CountryGermany
  • Online6 months
  • On campus1 year
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SRH University of Applied Sciences

MA International Hospitality Management at SRH Germany

  • CountryGermany
  • Online6 months
  • On campus1 year 6 months
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University of Applied Management

BA Management at UAM Germany

  • CountryGermany
  • Online1 year
  • On campus2 years 6 months
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University of Applied Management

BEngg. Digital Engineering at UAM Germany

  • CountryGermany
  • Online1 year
  • On campus2 years 6 months
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University of Applied Management

BSc Software Developement at UAM Germany

  • CountryGermany
  • Online1 year
  • On campus2 years 6 months
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Touro University, Germany

MBA at Touro University Germany

  • CountryGermany
  • Online6 months
  • On campus1 year
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International School of Management

MBA 90 ECTS at ISM Germany

  • CountryGermany
  • Online7 months
  • On campus1 year
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International School of Management

MSc Business Intelligence & Data Science at ISM

  • CountryGermany
  • Online7 months
  • On campus1 year 4 months
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International School of Management

MSc Business Intelligence & Data Science at ISM Germany

  • CountryGermany
  • Online8 months
  • On campus1 year 4 months
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International School of Management

MSc Business Intelligence and Data Science

  • CountryGermany
  • Online6 months
  • On campus1 year 4 months
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International School of Management

MSc International Logistics & Supply Chain Management at ISM Germany

  • CountryGermany
  • Online8 months
  • On campus1 year 3 months
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International School of Management

MSc International Logistics & Supply Chain Management, ISM Germany

  • CountryGermany
  • Online7 months
  • On campus1 year 4 months
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International School of Management

MSc International Management at ISM Germany

  • CountryGermany
  • Online7 months
  • On campus1 year 4 months
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International School of Management

MSc International Management, ISM Germany

  • CountryGermany
  • Online8 months
  • On campus1 year 4 months
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International School of Management

MSc Psychology & Management

  • CountryGermany
  • Online7 months
  • On campus1 year 4 months
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Paris School Of Business

MSc in Marketing Analytics and Data Intelligence at PSB France

  • CountryFrance
  • Online8 months
  • On campus1 year
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Paris School Of Business

MSc in Luxury and Fashion Management at PSB France

  • CountryFrance
  • Online8 months
  • On campus1 year
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Paris School Of Business

MSc in International Finance at PSB, France

  • CountryFrance
  • Online8 months
  • On campus1 year
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Paris School Of Business

MSc Supply Chain Management at PSB France

  • CountryFrance
  • Online8 months
  • On campus1 year
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Excelia Business School

MSc in Sustainable Global Supply Chain Management at Excelia

  • CountryFrance
  • Online11 months
  • On campus1 year
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Excelia Business School

MSc in Sustainable Luxury and Creative Industries at Excelia

  • CountryFrance
  • Online11 months
  • On campus1 year
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EDC Paris Business School

MSc AI in Business Analytics at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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EDC Paris Business School

MSc Digital Marketing & Data Driven Strategy at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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EMLV Business School

MSc Digital Business Analytics at EMLV France

  • CountryFrance
  • Online11 months
  • On campus1 year
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EMLV Business School

MSc Luxury and Innovation Management at EMLV France

  • CountryFrance
  • Online11 months
  • On campus1 year
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Excelia Tourism School

MSc in International Hospitality at Excelia, France

  • CountryFrance
  • Online11 months
  • On campus1 year
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EDC Paris Business School

MSc Hospitality & Tourism Management at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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EDC Paris Business School

MSc International Finance at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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KEDGE Business School

MSc Data Analytics for Business at KEDGE, France

  • CountryFrance
  • Online7 months
  • On campus1 year 2 months
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Excelia Business School

MSc Digital Marketing at Excelia

  • CountryFrance
  • Online11 months
  • On campus1 year
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KEDGE Business School

MSc Global Supply Chain Management at KEDGE, France

  • CountryFrance
  • Online11 months
  • On campus1 year 2 months
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KEDGE Business School

MSc Marketing at KEDGE, France

  • CountryFrance
  • Online7 months
  • On campus1 year 2 months
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EDC Paris Business School

MSc International Business at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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EDC Paris Business School

MSc Supply Chain Strategy at EDC Paris Business School

  • CountryFrance
  • Online6 months
  • On campus1 year 6 months
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ESDES Business School

MSc Impact Finance & Fintech Management at ESDES France

  • CountryFrance
  • Online11 months
  • On campus1 year 1 month
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ESDES Business School

MSc Circular Economy & Sustainable Innovation at ESDES France

  • CountryFrance
  • Online11 months
  • On campus1 year 1 month
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ESDES Business School

MSc Sustainable Tourism & Event Management at ESDES France

  • CountryFrance
  • Online11 months
  • On campus1 year 1 month
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KEDGE Business School

MSc Data Analytics for Business at KEDGE France

  • CountryFrance
  • Online6 months
  • On campus1 year
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Aivancity School for Technology, Business and Society

MSc Artificial Intelligence Engineering

  • CountryFrance
  • Online1 year
  • On campus1 year
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Aivancity School for Technology, Business and Society

MSc Data Engineering

  • CountryFrance
  • Online1 year
  • On campus1 year
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American Business College

Bachelor of Business Administration at ABC Paris

  • CountryFrance
  • Online1 year
  • On campus3 years
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Paris School Of Business

MSc AI, Business Analytics & Cybersecurity at PSB France

  • CountryFrance
  • Online8 months
  • On campus1 year
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Northeastern University, London

MSc Applied Artificial Intelligence

  • CountryUK
  • Online8 months
  • On campus1 year
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Northeastern University, London

Dual Master’s in Global Business and Artificial Intelligence

  • CountryUK
  • Online6 months
  • On campus1 year
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Northeastern University, London

MSc Project Management at Northeastern London

  • CountryUK
  • Online7 months
  • On campus1 year
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Northeastern University London

BSc Computer Science & Business (Hons) at NU London

  • CountryUK
  • Online1 year
  • On campus2 years
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Northeastern University London

BSc Business (Hons) at NU London

  • CountryUK
  • Online1 year
  • On campus2 years
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Northeastern University, London

MSc IBM at Northeastern London

  • CountryUK
  • Online7 months
  • On campus1 year
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Northeastern University London

BSc Data Science (Hons) at NU London

  • CountryUK
  • Online1 year
  • On campus2 years
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University of Sunderland

Master of Business Administration at Sunderland, UK

  • CountryUK
  • Online8 months
  • On campus7 months
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University of Roehampton

MSc Data Science with Work Placement at Roehampton

  • CountryUK
  • Online8 months
  • On campus1 year 9 months
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University of Roehampton

MBA with Placement at Roehampton

  • CountryUK
  • Online11 months
  • On campus1 year 9 months
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University of Roehampton

MSc Global Business Management at Roehampton

  • CountryUK
  • Online11 months
  • On campus1 year 9 months
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London Metropolitan University

BSc Computer Science (Hons) at LMU

  • CountryUK
  • Online1 year
  • On campus2 years
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London Metropolitan University

BSc Data Science (Hons) at LMU

  • CountryUK
  • Online1 year
  • On campus2 years
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London Metropolitan University

BA Business Management (Hons) at LMU

  • CountryUK
  • Online1 year
  • On campus2 years
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St Marys University Twickenham London

MSc International Business Management at St. Mary's London

  • CountryUK
  • Online11 months
  • On campus1 year

The Future of Work reading answers cover Questions 27 to 40 from this IELTS Academic Reading passage. It looks at how AI, automation, and the knowledge economy are changing jobs, based on views from three different experts.

This set has 14 questions, including Multiple Choice, Summary Completion, and Matching Features. If you're checking the future of work reading answers Cambridge 16 version, this is the exact passage and question set you'll find there. It tests a mix of skills too, locating specific details, matching each viewpoint to the right expert, spotting paraphrased ideas, understanding statistics and claims, and telling apart answer options that look almost the same. 

The Future of Work IELTS Reading Passage

This Reading Passage in the IELTS exam looks at how AI and automation are changing the way people work, and what that could mean for jobs down the line. It brings in three experts, Stella Pachidi, Hamish Low and Ewan McGaughey, each with a different take on where employment is headed.

The passage runs across 14 paragraphs and covers Questions 27 to 40. Anyone searching for the future of work reading answers IELTS style breakdown usually wants this paragraph structure clear before jumping into the questions. 

""The Future of Work IELTS Reading Passage

Paragraph 1

According to a leading business consultancy, 3 to 14% of the global workforce will need to switch to a different occupation within the next 10 to 15 years, and all workers will need to adapt as their occupations evolve alongside increasingly capable machines. Automation, or ‘embodied artificial intelligence (AI)’, is one aspect of the disruptive effects of technology on the labour market. ‘Disembodied AI’, like the algorithms running in our smartphones, is another.

Paragraph 2

Dr Stella Pachidi from Cambridge Judge Business School believes that some of the most fundamental changes are happening as a result of the ‘algorithmication’ of jobs that are dependent on data rather than on production, the so-called knowledge economy. Algorithms are capable of learning from data to undertake tasks that previously needed human judgement, such as reading legal contracts, analysing medical scans and gathering market intelligence.

Paragraph 3

‘In many cases, they can outperform humans,’ says Pachidi. ‘Organisations are attracted to using algorithms because they want to make choices based on what they consider is “perfect information”, as well as to reduce costs and enhance productivity.’

Paragraph 4

‘But these enhancements are not without consequences,’ says Pachidi. ‘If routine cognitive tasks are taken over by AI, how do professions develop their future experts?’ she asks. ‘One way of learning about a job is “legitimate peripheral participation”, a novice stands next to experts and learns by observation. If this isn’t happening, then you need to find new ways to learn.’

Paragraph 5

Another issue is the extent to which the technology influences or even controls the workforce. For over two years, Pachidi monitored a telecommunications company. ‘The way telecoms salespeople work is through personal and frequent contact with clients, using the benefit of experience to assess a situation and reach a decision. However, the company had started using an algorithm that defined when account managers should contact certain customers about which kinds of campaigns and what to offer them.’

Paragraph 6

The algorithm, usually built by external designers, often becomes the keeper of knowledge, she explains. In cases like this, Pachidi believes, a short-sighted view begins to creep into working practices whereby workers learn through the ‘algorithm’s eyes’ and become dependent on its instructions. Alternative explorations, where experimentation and human instinct lead to progress and new ideas, are effectively discouraged.

Paragraph 7

Pachidi and colleagues even observed people developing strategies to make the algorithm work to their own advantage. ‘We are seeing cases where workers feed the algorithm with false data to reach their targets,’ she reports.

Paragraph 8

It’s scenarios like these that many researchers are working to avoid. Their objective is to make AI technologies more trustworthy and transparent, so that organisations and individuals understand how AI decisions are made. In the meantime, says Pachidi, ‘We need to make sure we fully understand the dilemmas that this new world raises regarding expertise, occupational boundaries and control.’

Paragraph 9

Economist Professor Hamish Low believes that the future of work will involve major transitions across the whole life course for everyone: ‘The traditional trajectory of full-time education followed by full-time work followed by a pensioned retirement is a thing of the past,’ says Low. Instead, he envisages a multistage employment life: one where retraining happens across the life course, and where multiple jobs and no job happen by choice at different stages.

Paragraph 10

On the subject of job losses, Low believes the predictions are founded on a fallacy: ‘It assumes that the number of jobs is fixed. If in 30 years, half of 100 jobs are being carried out by robots, that doesn’t mean we are left with just 50 jobs for humans. The number of jobs will increase: we would expect there to be 150 jobs.’

Paragraph 11

Dr Ewan McGaughey, at Cambridge’s Centre for Business Research and King’s College London, agrees that ‘apocalyptic’ views about the future of work are misguided. ‘It’s the laws that restrict the supply of capital to the job market, not the advent of new technologies that causes unemployment.’

Paragraph 12

His recently published research answers the question of whether automation, AI and robotics will mean a ‘jobless future’ by looking at the causes of unemployment. ‘History is clear that change can mean redundancies. But social policies can tackle this through retraining and redeployment.’

Paragraph 13

He adds: ‘If there is going to be change to jobs as a result of AI and robotics then I’d like to see governments seizing the opportunity to improve policy to enforce good job security. We can “reprogramme” the law to prepare for a fairer future of work and leisure.’ McGaughey’s findings are a call to arms to leaders of organisations, governments and banks to pre-empt the coming changes with bold new policies that guarantee full employment, fair incomes and a thriving economic democracy.

Paragraph 14

‘The promises of these new technologies are astounding. They deliver humankind the capacity to live in a way that nobody could have once imagined,’ he adds. ‘Just as the industrial revolution brought people past subsistence agriculture, and the corporate revolution enabled mass production, a third revolution has been pronounced. But it will not only be one of technology. The next revolution will be social.’""

Learn all about IELTS Reading Test

The Future of Work Reading Answers with Explanations

Fourteen questions sit under this passage, split into three types. Multiple Choice, Summary Completion, and Matching Features. Each one asks for a bit of a different reading approach, so it's worth knowing which is which before you dive in.

Read the question very carefully first, and don't rush. Then go find the paragraph it's pointing to and see how the wording there ties back. This future of work reading answers with explanation section covers all fourteen questions this way, so you're not just checking if you got it right, you're seeing why. 

Questions 27–30 Multiple Choice Answers and Explanations

Don't grab the option that just sounds familiar. Go through all four first, then check the paragraph to see which one it actually backs up.

Q27: The first paragraph tells us about

A. The kinds of jobs that will be most affected by the growth of AI
B. The extent to which AI will alter the nature of the work that people do
C. The proportion of the world's labour force who will have jobs in AI in the future
D. The difference between ways that embodied and disembodied AI will impact workers

Answer: B

Explanation: Paragraph 1 talks about how AI will change the kind of work people do, not just how many people it affects. This directly supports option B, which points to the extent of change in the nature of work. Therefore, B is the correct answer.

Q28: According to the second paragraph, what is Stella Pachidi's view of the 'knowledge economy'?

A. It is having an influence on the number of jobs available
B. It is changing people's attitudes towards their occupations
C. It is the main reason why the production sector is declining
D. It is a key factor driving current developments in the workplace

Answer: D

Explanation: Paragraph 2 ties the knowledge economy straight to the changes currently happening in workplaces. This shows it as an active driver of change right now, not something coming later. Therefore, D is the correct answer.

Q29: What did Pachidi observe at the telecommunications company?

A. staff disagreeing with the recommendations of AI
B. staff feeling resentful about the intrusion of AI in their work
C. staff making sure that AI produces the results that they want
D. staff allowing AI to carry out tasks they ought to do themselves

Answer: C

Explanation: Paragraph 7 shows staff feeding the algorithm false data on purpose to get the outcome they wanted. This means staff were making sure AI produced results in their favour, which matches option C. Therefore, C is the correct answer.

Q30: In his recently published research, Ewan McGaughey

A. challenges the idea that redundancy is a negative thing
B. shows the profound effect of mass unemployment on society
C. highlights some differences between past and future job losses
D. illustrates how changes in the job market can be successfully handled

Answer: D

Explanation: Paragraph 13 shows McGaughey pushing for governments to update policy and protect job security through this shift. This is less about naming a problem and more about showing change being handled well. Therefore, D is the correct answer.

Questions 31–34 Summary Completion Answers and Explanations

Check the grammar of each blank before anything else. That alone knocks out a couple of options before you even get to meaning.

Word bank: A pressure, B satisfaction, C intuition, D promotion, E reliance, F confidence, G information

Q31: Stella Pachidi of Cambridge Judge Business School has been focusing on the 'algorithmication' of jobs which rely not on production but on ______

Answer: G (information)

Explanation: Paragraph 2 shows Pachidi's focus is on jobs built around data rather than physical output. This directly supports information as the correct word. Therefore, G is the correct answer.

Q32: While monitoring a telecommunications company, Pachidi observed a growing ______ on the recommendations made by AI, as workers begin to learn through the 'algorithm's eyes'

Answer: E (reliance)

Explanation: Paragraph 6 shows staff at the telecom company depending more and more on the algorithm's suggestions over time. This growing dependence is exactly what reliance means. Therefore, E is the correct answer.

Q33: Meanwhile, staff are deterred from experimenting and using their own ______, and are therefore prevented from achieving innovation

Answer: C (intuition)

Explanation: Paragraph 6 shows that once staff followed the algorithm closely, their own judgement took a back seat. This matches intuition, which refers to instinct or personal judgement. Therefore, C is the correct answer.

Q34: To avoid the kind of situations which Pachidi observed, researchers are trying to make AI's decision-making process easier to comprehend, and to increase users' ______ with regard to the technology

Answer: F (confidence)

Explanation: Paragraph 8 shows researchers want people to feel sure and trusting about how AI reaches its decisions. This sense of trust is what confidence refers to. Therefore, F is the correct answer.

Questions 35–40 Matching Features Answers and Explanations

Skip the paragraph by paragraph approach here. Think person by person instead, since each expert's view pops up more than once, and not in order. This part usually decides how well your future of work reading answers score turns out, so it's worth slowing down here. 

Q35: Greater levels of automation will not result in lower employment.

Answer: B (Hamish Low)

Explanation: Paragraph 10 shows Low pushing back on the idea that job numbers are fixed. He argues automation replacing some roles doesn't mean fewer jobs overall, and actually expects more. Therefore, B is the correct answer.

Q36: There are several reasons why AI is appealing to businesses.

Answer: A (Stella Pachidi)

Explanation: Paragraph 3 shows Pachidi laying out several reasons companies choose algorithms, including better information, lower costs, and higher output. Therefore, A is the correct answer.

Q37: AI's potential to transform people's lives has parallels with major cultural shifts which occurred in previous eras.

Answer: C (Ewan McGaughey)

Explanation: Paragraph 14 shows McGaughey comparing this moment to past shifts like the industrial revolution. He's the one drawing that historical parallel directly. Therefore, C is the correct answer.

Q38: It is important to be aware of the range of problems that AI causes.

Answer: A (Stella Pachidi)

Explanation: Paragraph 4 shows Pachidi raising concerns about what gets lost when AI takes over routine work, especially around how future experts are meant to learn. Therefore, A is the correct answer.

Q39: People are going to follow a less conventional career path than in the past.

Answer: B (Hamish Low)

Explanation: Paragraph 9 shows Low describing a work life that no longer follows the fixed pattern of school, job, then retirement. Therefore, B is the correct answer.

Q40: Authorities should take measures to ensure that there will be adequately paid work for everyone.

Answer: C (Ewan McGaughey)

Explanation: Paragraph 13 shows McGaughey calling on governments and organisations to bring in policies that protect fair pay and job security. Therefore, C is the correct answer.

How to Approach the Future of Work IELTS Reading Answers

This passage is good practice because it's not just one voice talking. Three experts share their views here, and honestly, half the challenge is keeping their opinions straight instead of mixing them together. Since this is the future of work reading answers Cambridge 16 passage, expect this pattern in a few other Cambridge tests too, not just this one. 

1. Separate the Three Experts' Viewpoints Early

Matching Features falls apart fast if you can't tell Pachidi, Low and McGaughey apart. Each one shows up more than once across Q35-40, so mixing them up costs more than one mark at a time.

Take automation and jobs as an example:

  • Hamish Low says job numbers will actually grow, not shrink, because new roles replace the old ones
  • Stella Pachidi focuses on how algorithms change daily work and learning, not on total job counts at all

Same broad topic. Two completely different angles.

2. Use the Word Bank Strategically

Before you even think about meaning, check grammar first. If a blank clearly needs a noun, cross off anything that isn't one.

That one step alone usually cuts your options:

  • From 7 choices down to 3 or 4
  • Meaning becomes way easier to judge once fewer words are left
  • Saves time you'd otherwise spend second guessing

3. Watch for Paraphrasing

The passage almost never repeats question wording exactly. A claim or statistic often gets reworded across all four Multiple Choice options.

Example from Q28:

  • Passage says: knowledge economy driving current changes in the workplace
  • Correct option says: a key factor driving current developments

Different words. Same idea underneath.

4. Track Paragraph Order for Matching Features

Statements in Q35-40 don't follow the passage start to finish, they jump around. Reading top to bottom looking for matches just wastes time here.

What works better:

  • Scan by expert name, not paragraph number
  • Know what each person stands for before you start
  • Match statement to person directly, skip the paragraph hunt

5. Eliminate Incorrect Options

Stuck between two choices? Elimination usually gets you there faster than trying to prove the right one outright.

Remove options that:

  • Go against what the passage actually says
  • Belong to the wrong expert or wrong paragraph
  • Sound close but only cover half the idea
  • Bring in details the passage never mentions at all

Read More: 

Common Mistakes to Avoid in the "Future of Work" IELTS Reading

A lot of students understand this passage just fine but still lose marks. Usually it's small slips, not actual misreading. Since this one runs on three viewpoints, a few mistakes show up again and again when students attempt the future of work reading answers IELTS practice sets. 

Mistake: Confusing Which Expert Made Which Claim

This is the big one. Pachidi, Low and McGaughey all talk about jobs and AI, so it's easy to pin one person's point onto another by mistake.

  • Tip: Before touching Q35-40, jot down each expert's core stance in one line
  • Takes thirty seconds, saves a lot of confusion later
  • Especially useful since each person shows up more than once in this section

Mistake: Searching for Exact Words Only

The passage rarely repeats the same words the question uses. Students search for one exact phrase, don't find it, and assume the answer isn't there.

  • Tip: Look for the idea itself, not just one keyword
  • Search for related terms too, not a single exact match
  • The exact phrase almost never shows up twice

Mistake: Choosing a Grammatically Correct but Contextually Wrong Word

In Summary Completion, more than one word from the bank can fit the sentence structure. Only one actually fits the meaning.

  • Tip: Read the full sentence around the blank, not just the blank itself
  • Check the word against the idea, not just the grammar
  • Context settles it faster than grammar alone

Mistake: Spending Too Much Time on One Question

Getting stuck on one tricky question, especially in Matching Features, eats into time needed for the rest of the section.

  • Tip: Mark it and move on
  • Come back once the easier ones are done
  • Don't let one question drag down your whole score

Mistake: Answering From Memory

Students often remember the general gist of what an expert said, but miss the one detail that actually decides the answer.

  • Tip: Go back to the paragraph and check before committing
  • Memory usually gets the idea right, but not the exact detail
  • A quick recheck takes seconds and avoids careless errors

Conclusion

Going through the future of work reading answers with explanation like this comes down to one thing mostly, keeping three viewpoints straight without mixing them up. Once you know what Pachidi, Low and McGaughey each stand for, most of the passage stops feeling confusing. 

A few things matter most here:

  • Understanding each expert's viewpoint
  • Locating specific information instead of guessing
  • Catching paraphrased wording
  • Using the word bank properly
  • Ruling out options that sound right but aren't backed by the text
  • Checking your answer against the passage one more time before moving on

If you're prepping for the future of work reading answers Cambridge 16 passage or similar ones, try these next: 

  • Practise a few more multi-viewpoint IELTS Reading passages
  • Lean on textual evidence over general knowledge
  • Time yourself while solving, it helps with both speed and accuracy

If you're preparing for IELTS and want more help with Reading passages, practice questions, or your overall test strategy, you can also connect with upGrad experts for a free 1:1 session.

Frequently Asked Questions

What are the future of work reading answers?

They cover Questions 27 to 40 from the Cambridge 16 IELTS Academic Reading passage. The set includes Multiple Choice, Summary Completion, and Matching Features, based on three experts' views on AI and jobs.

How many questions are there in this passage?

There are 14 questions in total. Four Multiple Choice, four Summary Completion, and six Matching Features questions make up the future of work reading answers Cambridge 16 set.

What question types show up in the future of work reading answers IELTS passage?

Multiple Choice covers Q27-30, Summary Completion covers Q31-34, and Matching Features covers Q35-40. Each type needs a slightly different reading approach.

Who are the three experts in the Matching Features section?

Stella Pachidi, Hamish Low, and Ewan McGaughey. Each one holds a different view on how AI and automation affect jobs and the wider economy.

Why is the Matching Features section so tricky?

Because each person's view shows up more than once, and the statements don't follow paragraph order. Knowing each stance before you start makes a big difference.

Is the future of work reading answers Cambridge 16 passage hard?

It's moderate. The vocabulary is manageable, but tracking three overlapping viewpoints trips up students who read too fast.

What word bank is used in the Summary Completion section?

The options are pressure, satisfaction, intuition, promotion, reliance, confidence, and information. Only four of the seven are correct.

Where can I find the future of work reading answers with explanation for every question?

On the above article, with paragraph-wise reasoning for all fourteen questions from 27 through 40.

Does this passage need outside knowledge of AI or economics?

No. Everything needed to answer the questions is inside the passage itself.

How can I improve my score on the future of work reading answers IELTS passage?

Read each expert's viewpoint slowly first, before jumping into the questions. Rushing this step is usually where students lose marks.

What's the best way to practise passages like this one?

Try more IELTS Reading passages built around multiple speakers or viewpoints. It trains you to separate opinions quickly, which helps a lot with Matching Features questions.

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