The term ‘workforce’ may evolve to encapsulate both humans and machine intelligence BY HRD 05 Feb 2018 Share AI and automation technologies have generated tremendous hype, but the potential within businesses remains largely untapped, according to Don Schuerman, chief technology officer at Pegasystems. “Organisations must augment their human intelligence with AI across the entire organisation in order to move beyond basic efficiency improvements,” said Schuerman. “By deploying AI and automation with an end-to-end view in mind, businesses can move closer to fulfilling their customer-centric vision.” Schuerman’s comments come following new research from Pegasystems which found that pairing humans alongside machine intelligence will create a more effective, engaged, and meritocratic workforce. There were 845 global senior executives surveyed across key industry sectors, including financial services, insurance, manufacturing, retail, telecommunications and media, and government, on the increased role AI and robotic automation will play in the workplace of the future. It found that seven out of 10 respondents (69%) believe the term ‘workforce’ will evolve to encapsulate both humans and machine intelligence. They also expect AI-augmented employees to generate tangible business returns such as more efficiency (73% agree) and better customer service (62%). But the effects may extend even deeper as AI transforms the way people work, are managed, and rewarded. According to the research, by augmenting their work with machine intelligence, human employees will be empowered with more autonomy and a greater sense of job satisfaction: AI and robotic automation will allow staff to make more informed decisions and lead to a flattening of traditional management hierarchies, according 8 out of 10 respondents (78%). AI will help suggest next-best actions for most customer service agents within the next five years, according to more than three quarters (77%) of respondents. While 88 percent are comfortable working together with machines, they are less enthusiastic about being managed by them: four out of five (79%) say they would not be comfortable with an AI-powered boss. As organisations increasingly come under scrutiny on equal pay for equal work issues, the study found the use of unbiased machine intelligence to analyse employee effectiveness could be the key to leveling the playing field: Two thirds (66%) believe the widespread use of AI will give rise to a more transparent meritocracy in the workplace. Almost three quarters (74%) think that within 10 years, AI will become standard practice for evaluating employee performance, while 72% predict it will be commonly used to set appropriate rewards and compensation. Eighty-four percent agree it will be commonplace for AI to calculate the true value added by each worker within a decade, while 44% see this happening within five years. Moreover, respondents expect the number of permanent employees at Fortune 500 companies to be cut in half by 2030. But while this shift to the so-called gig economy brings new flexibility to employers to hire on demand, it also opens new challenges: Eighty-five percent expect the use of more flexible, freelance customer service staff will make it easier to provide customers with 24/7 service, while 82% forecast faster response times as a direct result. Conversely, 81% believe this shift toward temporary staff will make it harder to cultivate an ongoing culture of customer centricity. The gig econony makes it more important to pair humans with AI to ensure consistent quality service. For example, nine out of 10 will use analytics to ensure customers receive the same level of personalisation from one worker to another. Related stories: Four tips to addressing the skills gap and digital transformation Is HR putting leadership on an impossible pedestal? Is this the real reason why employees leave? You've reached your limit - Register for free now for unlimited access To read the full story, just register for free now - GET STARTED HERE Already subscribed? Log in below LOGIN Remember me Forgot password?