| | | | | | |
Click to get this newsletter twice per month |
| |
|
| |
|
| | Brought to you by Alex Panas, global leader of industries, & Becca Coggins, global leader of functional practices and growth platforms
| | | | | | | |
| | | | Agentic AI ranks among the topics that captured the most attention among business leaders this year—and is sure to remain top of mind in 2026 and beyond. The rapid development of agentic capabilities represents a major milestone in AI’s evolution and could transform workflows, decision-making, and the workforce itself. This week, we look at how the collaboration between people, agents, and robots is evolving and which skills employees and leaders will need to succeed and create value in the era of agentic AI. | | | | | | | |
| | | As AI adoption continues to grow and change how we work, many of the human skills that employers value will likely endure—and also evolve. More than 70 percent of current skills can be applied in both automatable and non-automatable future work, according to McKinsey’s Lareina Yee, Anu Madgavkar, Sven Smit, Alexis Krivkovich, Michael Chui, and their coauthors. Their new McKinsey Global Institute report notes that nearly every occupation will experience skill shifts by 2030. Highly specialized, automatable skills such as accounting and coding could see the greatest changes, while interpersonal capabilities such as negotiating and coaching may be the least disrupted. “Most others, including widely applicable skills such as problem-solving and communication, may evolve as part of a growing partnership with agents and robots,” the authors say. The report projects that agents and robots could generate about $2.9 trillion in US economic value per year if business leaders focus on redesigning workflows—rather than individual tasks—to enable humans and machines to work better together. According to the authors, “the most effective [leaders] will engage directly with AI rather than delegating, invest in the human skills that matter most, and balance gains with responsibility, safety, and trust.” | | |
| | | | | | | | | | | | | | | | | |
| The rapid growth of AI and other technologies is putting pressure on all business leaders to become more tech savvy. For Neesha Hathi, managing director and head of Wealth & Advice Solutions at Charles Schwab, learning how tech tools work makes it easier to assess their potential business impact. For example, she says, “I am really intentional about using AI in my personal life, because you don’t necessarily know what it can do until you start to use it and understand how it can be applied, and then you begin to see how you can use it for all sorts of business problems.” Hathi, who is also Schwab’s former chief digital officer, stresses in an interview with McKinsey that having greater tech knowledge can help executives translate business opportunities to other leaders, from the C-suite to the board. “Your ability to bolster their confidence is so much greater if you’ve actually spent some time diving in and learning about the technology issues yourself,” she says.
| | |
| | | | | | | |
| For many shoppers, the holiday season is becoming a time for AI agents to browse the digital aisles on their behalf in search of the perfect gifts. AI is radically remaking the entire shopping experience, as agents become capable of anticipating consumer needs, navigating shopping options, negotiating deals, and completing transactions. McKinsey’s Katharina Schumacher and Roger Roberts say that agentic AI will erode traditional boundaries among platforms, services, and experiences to provide more personalized and efficient customer service. “All kinds of businesses—brands, retailers, marketplaces, logistics and commerce services providers, and payments players—will need to adapt to the new paradigm and successfully navigate the challenges of trust, risk, and innovation,” they say. | | | Lead by forging human–AI partnerships. | | | | | — Edited by Eric Quiñones, senior editor, New Jersey
| | |
|
Click to get this newsletter twice per month |
|
| | |
|
|
|
Copyright © 2025 | McKinsey & Company, 3 World Trade Center, 175 Greenwich Street, New York, NY 10007
|
|
|
|
|
|