Welcome!

News Feed Item

Despite Hype, Few Workers Believe Artificial Intelligence Will Threaten Their Jobs, Finds New Genpact Research

Second study in 3-part series reveals deep concerns on how to prepare next-generation workforce

NEW YORK, Nov. 14, 2017 /PRNewswire/ -- Contrary to recent headlines about an artificial intelligence (AI) apocalypse, very few workers fear AI will take away their jobs, finds a new study from Genpact, a global professional services firm focused on delivering digital transformation. The survey of more than 5,000 people from across the United States, United Kingdom, and Australia also shows a striking gap in views about AI's impact on their current roles versus the expected impact on the future workforce.

New Genpact logo - September 2017 (PRNewsfoto/Genpact)

Only 10 percent of people surveyed strongly agree that AI threatens their jobs today; however, nearly everyone (90 percent of respondents) believes younger generations need new skills to succeed as AI becomes more prevalent in the workplace. The research underscores how businesses need to prepare their employees for AI— yet very few are doing so.

"Artificial intelligence brings a seismic shift in the future of work – making some roles obsolete and enhancing others, while at the same time, creating new jobs, and even spawning new professions," said Sanjay Srivastava, chief digital officer, Genpact. "Our research shows that employees want and need additional skills to embrace these opportunities – and companies must respond. Businesses that will succeed in this new world will be those that ramp up fast to invest in the right AI tools and upskill their workforce."

The global study represents a broad range of education and income groups. A little more than half of respondents (54 percent) are classified as workers, being employed at least part-time, while the remainder are students, retired, or currently unemployed. This workforce survey is the second in a three-part Genpact research series, designed to create a comprehensive view on AI adoption, readiness, and impact across three critical and disparate communities – the C-suite, the workforce, and consumers. Combined, these results give businesses valuable insights on how to succeed with artificial intelligence. The first study, published in September 2017, explores the C-suite perspective. Genpact will release its consumer findings later this year.

What, me worry?
While only 28 percent of all respondents worry about artificial intelligence's threat on their current jobs, most (58 percent) fear AI's impact on their children's and future generations' career opportunities.

A third of workers surveyed worry that they will not have the money or time for necessary retraining to help them work with AI. These fears may be valid, considering that Genpact's study of senior management, the first in the series, reveals that nearly one in five businesses have no plans at all to reskill their employees. Only a quarter of companies currently help their employees take advantage of AI, and just a little more than a third provide reskilling to address technology disruption.

Mind the training gap
When considering new skills people think they will need, and where they will get them, few survey respondents look to advanced degrees. They cite relevant primary and secondary education in subjects that will prepare younger generations for a future AI-focused workplace as more important than higher education. In addition, almost half (45 percent) of those surveyed believe future generations will need more on-the-job training via human-machine interactions.  

Half of all respondents also cite the ability to adapt to change as the top quality necessary to succeed in an environment with an increasing AI presence. Moreover, most people value critical thinking, problem solving, and creativity over technical skills like coding, statistics, and math.

Bring on the bots?
Forty percent of all workers surveyed indicate they would be comfortable working with robots within the next three years. In contrast, Genpact's senior management study indicates that nearly 80 percent of global companies that are AI leaders believe their employees will work comfortably with robots in the same time frame. This gap points to potential challenges for businesses to realize AI's benefits. Still, most employees see positive impacts from AI in the workplace. They cite time savings and reduction in human errors as among top benefits, and younger generations acknowledge these advantages even more prominently.

"The big question is how to effectively encourage and adopt human-machine collaboration," said Srivastava. "And the key is in a top-down culture that embraces AI, learning, and training at all levels, within a comprehensive change management framework."

See The workforce: Staying ahead of artificial intelligence for more details on this study. For views from the C-suite, read the first report in the series, Is your business AI-ready?

About the Research
In August 2017, Genpact worked with research firm YouGov to survey 5,179 people (2,189 in the United States, 1,749 the United Kingdom, and 1,241 in Australia) to study how artificial intelligence impacts their personal and professional lives. Of the total survey population, 2,795 were employed at least eight hours per week. YouGov conducted the fieldwork online between August 15-30, 2017. In addition, in a separate study conducted in June 2017, Genpact and FORTUNE Knowledge Group surveyed 300 global senior executives on AI issues, and also differentiated between "AI leaders" – respondents who achieve strong positive business outcomes from AI, scoring 9 or 10 on a 10-point scale -- and "AI laggards," who scored 1 through 6 on the same scale.

About Genpact
Genpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes for hundreds of Global Fortune 500 companies. We think with design, dream in digital, and solve problems with data and analytics. We obsess over operations and focus on the details – all 78,000+ of us. From New York to New Delhi and more than 20 countries in between, Genpact has the end-to-end expertise to connect every dot, reimagine every process, and reinvent companies' ways of working. We know that rethinking each step from start to finish will create better business outcomes. Whatever it is, we'll be there with you – putting data and digital to work to create bold, lasting results – because transformation happens here. Get to know us at Genpact.com and on LinkedIn, Twitter, YouTube, and Facebook.

For more information:

Danielle D'Angelo

(Genpact Media Relations)

danielle.dang[email protected]

+1 914-336-7951

 

Taylor Blackburn

(for Genpact Australia)

[email protected]

+61 (0)2 8094 7637

Abby Trexler

(for Genpact U.S.)

[email protected]

+1 212-931-6179 

 

Rudra Bose

(for Genpact India)

[email protected]

+91 9811626585

Laura Brooks

(for Genpact U.K.)

[email protected]

 +44 207 680 7113

 

 

 



View original content with multimedia:http://www.prnewswire.com/news-releases/despite-hype-few-workers-believe-artificial-intelligence-will-threaten-their-jobs-finds-new-genpact-research-300555297.html

SOURCE Genpact

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophistica...
The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
Blockchain is a shared, secure record of exchange that establishes trust, accountability and transparency across business networks. Supported by the Linux Foundation's open source, open-standards based Hyperledger Project, Blockchain has the potential to improve regulatory compliance, reduce cost as well as advance trade. Are you curious about how Blockchain is built for business? In her session at 21st Cloud Expo, René Bostic, Technical VP of the IBM Cloud Unit in North America, discussed the b...
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone in...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
As you move to the cloud, your network should be efficient, secure, and easy to manage. An enterprise adopting a hybrid or public cloud needs systems and tools that provide: Agility: ability to deliver applications and services faster, even in complex hybrid environments Easier manageability: enable reliable connectivity with complete oversight as the data center network evolves Greater efficiency: eliminate wasted effort while reducing errors and optimize asset utilization Security: imple...
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
No hype cycles or predictions of a gazillion things here. IoT is here. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, an Associate Partner of Analytics, IoT & Cybersecurity at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He also discussed the evaluation of communication standards and IoT messaging protocols, data...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...