Here’s how to become a super-manager in the age of AI

We’re endlessly curious about how artificial intelligence will transform our working lives and reshape the way we think about our careers. That’s why our team at Entefy has examined what the AI-powered office of the future will look like and the types of learning skills that will be at a premium in the coming decades. 

Now we’re taking a deeper look at what AI means for managers. The superstar managers of the AI era will be much more than scheduling ninjas or efficient task managers. They’ll serve as bridges between AI systems and their team members, guiding them toward more innovative and collaborative pursuits. Finally rid of repetitive and cognitively uninteresting tasks, managers will be free to unleash the full breadth of their creative skills and leadership acumen.  

The role of AI in management

Before looking at the evolving role of managers, let’s consider the changes AI is already driving in companies throughout the country. At present, managers spend 54% of their time on administrative tasks like scheduling and logistics coordination. As artificial intelligence systems become increasingly capable of fielding appointment requests, responding to emails, and generating quarterly and annual reports, managers will be able to redirect their attention to richer, more challenging priorities. 

Because today’s managers are still directly involved in administrative duties, they spend 10% of their time on strategy and innovation and only 7% on developing their in-house talent and engaging stakeholders. AI can improve that ratio, enabling managers to double the time they spend collaborating on new initiatives and investing in personnel and community development.   

Managers should anticipate big changes ahead as AI becomes integrated into their workflows. Not only will they serve as leaders and facilitators, as they do today, they’ll find their analytical and decision-making skills called into sharper focus. Judgement work, which requires a keen understanding of data and of its human impact, will become paramount. New skills will be needed and existing skills sharpened, like digital aptitude, creative thinking, data analysis, and strategic development.  

Our research suggests that super managers in the age of AI will inhabit 3 distinct roles simultaneously: the empathetic mentor, the data-driven decision-maker, and the creative innovator. 

Managers as empathetic mentors 

Freed from the mundanity of scheduling and logistics, managers will be able to devote time to helping their employees improve their skills. We know that AI will change the way many different departments work, so team members will need to adapt through tech trainings and rethinking their contributions to the company. Leaders will need to hone their “outcentric” management skills to advance their team’s development, meaning that they’ll need to nurture employees’ abilities to ensure everyone actively contributes. In a sense, managers will become skills assessment experts, identifying workers’ strengths and molding them into more well-rounded team members.  

Managers will also become both students and teachers of AI systems. In a recent survey of 4,000 workers across the U.S., U.K., and Germany, the majority felt underprepared to fully leverage AI’s benefits. They expressed optimism that technology will make their workplaces more collaborative and will strengthen relationships among team members. But they’ll need their managers’ guidance on how to maximize the tools that are rapidly becoming available to them.  

While not all managers will hold explicitly technical roles, they’ll still need to learn how to approach AI technologies like machine learning as a non-technical leader. Then they’ll have to train their colleagues on how to use those tools. At the very least, they’ll need to connect the dots between what AI platforms can do and how those functions correspond to the team’s goals. As workers transition to using AI assistants for data entry and scheduling, managers may need to engage in some handholding as employees adapt to their new workflows. 

While we know that AI-powered companies can become rich environments for learning and innovation, change isn’t always easy. Managers will be responsible for easing the path for their employees by helping them develop new professional goals in light of AI and strategizing how they can use AI to do their jobs more effectively.

Managers as data-driven decision-makers

Equipped with deep insights and forecasts generated by AI, managers will be better prepared to make smart decisions on behalf of their companies. Across departments, they’ll have more and better information to help their teams excel. Tools such as predictive analytics will aid them in deciding which initiatives are most likely to resonate among customers to minimize costs and maximize ROI. Machine learning will analyze expected outcomes based on company data, lowering the risk of poor investments. 

However, human judgement will still be critically important in executive decision-making. An AI program might recommend particular cost-savings measures or produce a recommendation in favor of a new business initiative. However, a human manager will need to decide whether the process of achieving those aims aligns with the company’s mission and values. As a 2016 Deloitte study titled “Talent for survival: Essential skills for humans working in the machine age” asserts, it’s not all about technical analysis. Numbers are important, but they don’t always tell the full story. Managers can bring empathy and context to the picture to decide the best course for the company’s long-term goals, which aligns with Deloitte’s prediction that problem-solving, social skills, creativity, and emotional intelligence will serve as vital complements to increased technical skills. 

Managers may also evolve into explainers, a new category of jobs created by AI. Explainers will monitor the effects AI algorithms have on the business’s goals and communicate those to the company’s leadership. They’ll also determine which strategies will benefit from AI assistance and which require more traditional approaches. 

Managers as creative innovators

The word creativity often brings to mind painters or writers. But in the AI era, managers across organizations—and not only those in traditionally creative departments—will be called upon to create unique solutions and products. Creativity is no longer solely for the creatives.

In this sense, creativity in leadership roles represents the ability to distill complex ideas, identify novel patterns, and devise innovative solutions. Managers must look at business challenges in different ways and from new perspectives. 

Managers may soon be required to synthesize new ideas, analyze the potential impacts on their companies, and then lead production and promotion campaigns to ensure that those are realized. We’ll see such dynamics play out in all different departments as managers turn their attention away from administration and toward increased innovation. For instance, with AI’s assistance, managers can overhaul outdated workflows, implement more dynamic project management strategies, and use customer data to brainstorm truly disruptive ideas. Predictive tools will allow them to better understand the market to determine which concepts are viable and which new endeavors are likely to bear fruit. The World Economic Forum puts it plainly: “Creativity and critical thinking skills are increasingly important in an automated workforce.”

AI will help managers do their jobs better even as it makes the work itself more fulfilling. The coming changes herald an era in which managers have the bandwidth to focus on complex, high-profile tasks like employee development and innovative brainstorming. The automation of low-level tasks and the powerful insights generated by predictive analytics and other AI-powered systems will give them more time and more data than they’ve ever had before. Which sounds like a recipe for high-quality performance.