GETTING work done is a fundamental concern for any business. But today, paradigm-shifting forces seem to be driving significant changes in both work and the workforce. New digital and communications technologies are changing how work gets done. The growth of the gig economy and advances in artificial intelligence are changing who does the work. Even the question of what work looks like is coming under examination as a continually evolving marketplace drives organizations to explore new business models.
In the face of these technological and social forces, it could be imperative for businesses to rethink their approaches to the how, who, and what of work in fundamental, perhaps even transformative ways. And as usual, there seem to be no easy answers. While we anticipate that the future of work will be better in some respects than many of our present-day realities, we also anticipate much turbulence. The complexity of what lies ahead can make many business leaders feel as if they are navigating whitewater rapids rather than charting predictable courses of action.
The research this report describes aims to bring some degree of clarity to the pressures organizations can expect as they move forward in the future of work. Through an ongoing research collaboration with WikiStrat, we examine leading experts’ views on the new realities that are emerging and ways in which individuals, organizational leaders, and public policy makers can take advantage of the opportunities that the future of work presents.
The complexities and opportunities posed by the future of work may seem limitless, and they can present newfound realities to multiple stakeholders. And so, to better understand tomorrow’s most pressing issues, we tapped into the potential power of leveraging the wisdom of crowds. Considering a wide range of perspectives on the future of work allows us to view the issue from a variety of viewpoints, yielding a fuller picture of the transformations underway.
To create this fuller picture, we used the WikiStrat crowdsourcing platform to ask leading thinkers across the globe to identify what they thought were the most important driving forces shaping the work-related realities of tomorrow. These were futurists and experts in law, business, society, health, and economics, representing 14 countries. We asked this crowd of experts to identify, not only what they thought were the most relevant forces driving the future of work, but also how likely they thought these new realities were to take shape over the next five to ten years. (See the sidebar About the research to learn more about the study methodology.)
As we gathered and unpacked the data during the study’s first phase (conducted in April 2017), five “new realities” emerged that were considered both highly probable and likely to have a big impact on global public policy makers, organizational leaders, and employees seeking to navigate opportunities in the future of work. Each of these realities holds untapped potential for further developing the workforce, leveraging technology, and advancing economic and social growth in newfound ways.
The study’s second phase (conducted in November 2017) validated the five original realities and identified two additional “emerging” realities on the horizon (figure 1).
Deloitte Consulting LLP combined forces with Wikistrat, a crowdsourced consultancy with a global network of over 2,200 subject matter experts, to research what possibilities the future of work could hold.
We chose to do this by creating future scenarios using the Delphi method. The Delphi method is a structured, systematic, and interactive forecasting method that relies on a panel of experts.1 It offers the advantages of participant anonymity, structured information flow, and continuous feedback mechanisms that allow the experts to revise their own forecasts or opinions in real time.
We conducted three rounds of inquiry. In the first round (phase 1), our participants identified forces that would likely impact our understanding of work from an individual, organizational, and societal perspective. During the course of a year, nearly 75 forces were identified (figure 2). We classified these forces into five categories—economic, geopolitical, social/demographic, technological, and legal (figure 2); the majority of the most influential forces were social/demographic and legal. Zooming out to higher-level categories in this way allowed us to better zoom into each force’s likelihood and potential impact and more precisely pinpoint those forces that should be at the top of every executive’s mind in the coming year.
During the second round (phase 2), participants assessed and voted on the likelihood and impact of the identified forces. We also analyzed the geopolitical landscape, economic implications, legal shifts, social and demographical trends, and disruptive technologies in the context of these forces.
In the third round (phase 3), we constructed future scenarios around the forces identified as being the most likely and influential, which were then studied for the implications they would have for business.
We engage in these three rounds of exploration with the expert panel every six months, allowing us to regularly update our predictions for and projected likelihood of future scenarios. This agile approach and focus on continuous improvement within our methodology is how we strive to stay on the cutting edge of the future of work.
The driving forces of big data, the Internet of Things, and the growing number of Generation X individuals in leadership positions have led to the rise of exponential technologies and data-driven organizations. Organizations that can capture the potential value unlocked by technology and data’s unprecedented availability are anticipated to outpace their peers. We often refer to these organizations as “exponential organizations” (ExOs). We define an ExO as one that has a disproportionately large impact (or output) compared to its peers, and that enjoys an exponential return on assets (such as talent, capital, or intellectual property). An ExO’s exponential return on assets may be largely due to the use of new organizational techniques that employ the right mix of exponential technologies, business models, and, most importantly, human talent.
To successfully operate as an ExO, an organization should find the right mix between people and technology to scale impact and accelerate growth. ExOs seem to have mastered artful augmentation—leveraging the power of technology while further developing the enduring human skill sets needed to capture value in the market. They generally see technology, not simply as a way to create efficiencies and cut costs, but as a way to unleash exponential growth in abundant markets. They can redefine their markets and use data to create new industries (for example, the sharing economy and crowdfunding).
A concrete example of the kind of action an ExO may take to achieve these ends is the steps that a large hedge fund organization is taking to use artificial intelligence to augment the firm’s management decision-making. This allows its investment managers to spend more time engaged in higher-value tasks.2 Another example is that of a leading medical practice that is using cloud technology and data science to provide more precise health care and value to patients.3
One challenge to operating as an ExO is the pragmatic difficulty of getting one’s arms around the vast volume of data and information being generated. This volume is only growing; some estimate that 90 percent of the world’s data has been created in the past few years. We also often hear about the increased flow of information: 2.5 exabytes of data are produced every day, while 140 million emails are sent every minute.4 How then can organizational leaders prepare to harness data and information in the quest for exponential performance?
A good starting point is to create a data-driven business model that focuses on customer value creation by relying on new data streams, technologies, and human talent to inform decision-making and redefine the competitive market. Harnessing a mix of data, technology, and people allows ExOs to create opportunities in untapped markets. It is also necessary to develop core business competencies like statistical reasoning, data manipulation, and data visualization. And, while ExOs focus heavily on science and data, they also place a premium on technical workers who can also leverage soft skills such as social interaction, creative thinking, and complex problem-solving.
Key insights: Public policy makers should keep a close eye on data privacy and intellectual property protection as organizations continue to compete based on intangible assets. Organizational leaders should develop a technology-fluent workforce to capture value from technology investments. From the individual’s point of view, people who can apply both “hard” technical and “soft” interpersonal skill sets can thrive and potentially find much opportunity in an ExO.
Read more: Every year, Deloitte works with the Massachusetts Institute of Technology to understand how organizations are adapting to exponential technologies. Our latest report examined how the most mature digital organizations are thriving in this new reality.5
Factors such as the growth of freelancing, 24-hour everything, mobility, crowdsourcing, and gamification have unleashed the workforce, freeing it from many traditional bounds and constraints. Indeed, one of the fastest-growing workforce segments is the “alternative” worker—one who works off-campus and outside of an organization’s official talent balance sheet.6 In addition, the rise of platform technologies has made it easier for organizations to use crowdsourcing to tackle tough challenges. And technologies such as artificial intelligence, augmented reality, and robotic process automation allow work to be outsourced to robots.
This broadening of the talent continuum gives employers an opportunity to engage in a multi-channel workforce strategy that leverages a mix of traditional full-time employees, joint ventures, contractors, freelancers, crowds, and robots (figure 3).
To reap benefits from this new reality, successful organizations can leverage team-based models and decision-making protocols rather than building traditional hierarchical business models. Agile companies can draw upon all points of the talent continuum to rapidly shape new business models, improve output quality, generate ideas, and manage costs. At the same time, effective organizations also recognize the different needs and specific attributes of different worker types along the continuum. They do not take a one-size-fits-all approach to the employee experience.
These new alternative talent models lend themselves to new management styles that can allow organizational leaders to take better advantage of team-based decision-making. One large global banking organization, for instance, began experimenting with a new agile human resources model that formed nine-person groups loosely organized into 13 teams. These teams were free to operate and make decisions at the team level rather than going through the traditional hierarchical decision-making process. This approach was so successful in improving time to market, boosting employee engagement, and increasing productivity that the bank is now rolling it out throughout the organization.7
In our most recent refresh of the WikiStrat research, we saw a powerful trend emerge within the larger growth of the continuum of talent: namely, that today’s workforce encompasses more diversity—in terms of gender, age, background, experience, viewpoint, and overall workforce composition—than in the past. As society’s perceptions evolve to become more inclusive of women and minorities in leadership positions, companies will experience increasing pressure to continue to diversify their workforce and diligently avoid the many scandals that have recently been brought to light regarding discriminatory practices and harassment in the workplace. Especially with HR selection and management processes changing to accommodate the use of data and technology in recruitment, organizations have the ability to make more fact-based choices8 to reduce some of the many inherent biases against women and minorities in the workplace (as is evident from numerous behavioral science studies.)9
Key insights: Public policy makers should consider new labor categories to account for the rise of alternative work arrangements, paying particular attention to social safety nets and tax incentives that could offset the impact of income uncertainty among an increasingly transitory and ephemeral workforce. Organizational leaders may consider moving away from traditional hierarchical structures toward project-based teams composed of a variety of workers, which can allow them to respond faster to marketplace needs and opportunities. Individual workers should plan for and adapt to perhaps greater uncertainty about where and when their next job will be, as well as embrace lifelong learning with an increasing emphasis on essentially human, enduring skillsets.
Read more: Deloitte’s 2017 Global Human Capital Trends report discusses the augmented workforce in greater depth.10 We also consider the opportunities organizational leaders have in extending their culture beyond office walls and balance sheets.11
The lengthening of the productive years (figure 4) and the need for lifelong learning have led to the new reality of lifelong reinvention. Longer lifespans seem to be challenging traditional ideas about careers, retirement, and work-life balance, and these changes in mind-set are starting to affect the way people work. Lengthening worker careers could complicate operational and resource management. The effectiveness with which organizations can manage quadri-generational workforces may affect business efficiency and productivity, investment decisions, and resource retention. Extended careers might redefine worker and management attitudes toward aging, alter the pace at which organizations are renewed by younger talent and new ideas, and increase intergenerational competition for jobs.
Lifelong reinvention can be enhanced by leveraging the strengths of each generation. St. John’s university professor Nicos Scordis has remarked, “There is an implied assumption that all future young workers would bring to the workplace superb skills. The reality might be different. It might be that the value of older workers might actually improve, not for their productivity, but rather as role models for their work ethics.”12 The use of mentoring models is likely to rise in this new reality, with older workers teaching early career workers interpersonal and leadership skills, which often develop with experience.
The need for lifelong reinvention is presenting itself in a few different ways in the workplace. For example, one finance organization unveiled plans to increase its over-50 employee population by 12 percent by 2022.13 Another financial services firm is giving its bankers more flexible hours throughout the work week to engage in personal learning.14 A telecommunications company is encouraging all of its employees to learn a new digital skill, giving them both the time and resources to do so.15
Key insights: Individual workers should make education part of their careers, including engaging in both traditional and on-the-job training opportunities. Organizational leaders will likely want to consider implementing flexibility policies that are suitable for and inclusive of workers of all ages. Public policy makers should try to ensure the adoption of and adherence to anti-discrimination and anti-ageism laws across industries and sectors.
Read more: Josh Bersin’s latest article discusses the evolution of the 21st-century career and how organizations can encourage continuous learning.16
The falling cost of automation, an increase in the use of artificial intelligence, and the rise of human-machine collaboration have created a new reality of talent trade-offs and transitions. This reality presents the opportunity to reimagine the economic value of work through the increased productivity that human-machine collaboration can bring to the workplace. While the impact of automation currently remains largely concentrated in a few industries and countries, it is nevertheless spreading across industries, including services industries and the public sector. (Figure 5 highlights how different countries are using robotics in response to rising labor rates.) Automation is also gaining ground in developing countries, although one challenge to its widespread adoption is that many emerging economies are long on labor and short on technology. In addition, the establishment of automated factories in more-developed areas of an emerging nation may create social and political tensions within the country as well as with other countries.
Agile organizations assess and reassess the mix of human and machine talent at all levels as an essential element of their business and strategic planning. Getting it right could significantly affect an organization’s productivity, competitiveness, and positioning. Organizations should prepare for a multiyear, complex transition period as jobs and careers are assessed and reassessed, technologies become more capable, and legal and social safety nets evolve.
Contrary to what some may fear, robots are not taking over human jobs. In the context of technological enablement and automation, there is an ongoing need for essentially human and enduring skillsets that robots currently do not possess. One global manufacturer plans to replace nearly 30 percent of its current workforce capacity with robots—but to reallocate its human workers to more complex tasks rather than eliminating them.17 A global car company with a production facility in Germany announced it will reduce the number of robots on its production line and replace them with human labor, as customization, which is in high demand, is not cost-efficient using robots.18 In a different industry, one social media company is planning to hire more human workers to provide oversight over what is published on their platforms.19
As these examples illustrate, organizations will have to continue to make talent trade-off decisions as automation becomes ever more prevalent and available. Most—thanks to the broader talent continuum the future of work is making available—will have a variety of talent models to choose from. Automation technologies become more likely to be leveraged when the cost of labor for routine tasks rises. In parallel, the marketplace value of human labor to perform highly complex, customized, and unpredictable tasks is also likely to rise.
Key insights: Public policy makers should consider increasing incentives for lifelong learning and skills development while developing safety nets for workers disenfranchised by new technologies. Organizational leaders should brace themselves for potential rapid disruption caused by technological advances that could require substantial talent restructuring. Individual workers should seek to identify and target employment opportunities in areas where the demand for human workers is likely to increase, while also understanding and learning technology skills for sustainable employability.
Read more: Earlier this year, our CEO, Cathy Engelbert, talked with Tom Friedman and explored the talent trade-off decisions that organizations in the future will have to make.20
The driving forces behind our fifth new reality seem to be the economy of good deeds and a rise in discussions around the need for universal basic income.
The evolving clash between traditional conceptions of work, societal values, and public policy may define the limits and conditions placed on the future organization. Developments such as artificial intelligence and job market fragmentation could produce large-scale shifts, changing how we think about work, what is valued at the workplace, and what is valued by society. In particular, worker demands appear to be pushing organizations to focus on worker interests—such as the effect of some technology applications on workers’ well-being—along with broader social benefits. New policies and programs might eventually be needed to balance organizational interests with the need to protect workers from the new working environment’s uncertainties.
The reality that organizations seem to be held to an increasingly high ethical standard is manifesting itself in a variety of ways, as organizations strive to balance shareholder needs with those of their broader constituents such as employees and their local communities. For example, one banking organization recently raised its workers’ minimum wage; another, smaller regional bank rolled out companywide benefits to better accommodate autistic individuals.21
Key insights: Both individual workers and organizational leaders may need to develop a deep understanding of changing laws and employment regulations, especially as they relate to the alternative workforce. Organizational leaders should also reinforce ethical behavior and responsible conduct as a core management principle. Public policy makers will likely continue to develop regulations to protect workers. They may, for instance, establish watchdogs for artificial intelligence algorithms that could have a greater influence on hiring and firing decisions.
Read more: Reimagining measurement: Enhancing social impact through better monitoring, evaluation, and learning explores ways organizations can more productively measure social impact.22 Cathy Engelbert and John Hagel’s latest Harvard Business Review article discusses ways that artificial intelligence is causing people to rethink the nature of work.
During our most recent refresh of the data, we found two additional emerging trends that cast the future of work in an optimistic light. One of these realities deals with the growing use of advancing technologies to create nimble enterprises. The second is that, after a decade of irregular activity, governments and local authorities are starting to take back control over the sharing economy, gig platforms, and cyptocurrencies to help protect both individual workers and organizations seeking to leverage the new technological and workforce options available to them today.
Reality No. 6: The nimble enterprise. Just as big data and the Internet of Things have given rise to exponential organizations, technology has also spawned the development of what we might call “nimble” enterprises. It is no longer David versus Goliath in this new reality, but David with Goliath, as innovation seems to be democratizing business ownership. Smaller, nimble enterprises are leveraging larger organizations’ solutions, such as cloud computing and online payment services. Compared to traditional small firms, nimble enterprises tend to have better brand identity, vision, expertise, international networks, and intangible assets. Their cost structure is lean and flexible, allowing them to survive through economic cycles while continuing to generate cash to support their business.
Reality No. 7: Regulated innovation. In the broadening talent continuum, some of the newer labor market segments are largely untaxed and unregulated. Partly as a result, labor is losing its protection, states are losing revenue, and politically influential industries (for example, hotels and taxis) that are losing revenue are unhappy. In response, regulators are starting to get more active. In 2018, we anticipate much more government involvement around the implementation and use of gig workers and robotics. We envision organizations responding to this increased activity with both dialogue and research—perhaps, for instance, conducting artificial intelligence research on artificial neural networks to help explain automated choices or recommendations.23 Regulation will continue to evolve as governments, organizations, and individual workers grapple with the complex trade-offs the future of work demands.
We will continue to closely watch the new realities and the impact they might have on the future of work during our next refresh of the study later in 2018.
The new realities we’ve discussed here can present a host of opportunities. But to capitalize on them, we will need to find new ways to align institutions, organizations, and individuals with each other amid rapid market shifts. Public policy makers, organizational leaders, and individual workers will likely need to invest time and effort to figure out how to work together, or at least avoid working at cross-purposes, in the current and future world of work. Yet doing so could ensure that the future of work is both productive and rewarding for all parties.
Capturing the inherent value within each of these new realities could require many changes. It could involve reengineering work to take advantage of technological advances. It may require transforming workplaces to welcome and accommodate a continuum of talent needs. Almost inevitably, today’s organizational leaders will need much courage to upend their existing models of work to usher in a more nimble and diverse enterprise.
Our recommendations for leaders seeking to capture value for tomorrow’s realities include: