The fastest-growing skills in the United States split into two distinct categories - technical AI capabilities and human-centered abilities like executive communications, leadership influence, and cross-functional collaboration - according to LinkedIn's 2026 Skills on the Rise report. Both tracks are accelerating at roughly the same pace, but only one side of that divide remains uniquely human. A Harvard Business School study of nearly all U.S. job postings from 2019 through March 2025 found that structured cognitive roles declined 13 percent after ChatGPT launched, while demand for analytical, creative, and leadership-intensive work grew 20 percent.
The report's senior editor pointed out that companies are now searching specifically for the skills AI lacks, including relationship-building, handling complex situations, and translating strategy into action across teams and markets. These are precisely the capabilities addressed by AI for Management programs that focus on the human side of leadership in an automated workplace.
The Evidence Is Already in Org Charts
Morgan Stanley cut 2,500 roles in early 2026, roughly 3 percent of its global workforce, despite reporting a record $70.6 billion in revenue for 2025. The reductions hit investment banking, trading, and operations, but financial advisors were excluded. The client relationships and judgment those advisors built over years of difficult conversations cannot be offloaded to a model.
Goldman Sachs moved AI into onboarding processes, lending analysis, and regulatory reporting through its "OneGS 3.0" strategy. The automated systems absorbed the structured cognitive work, yet total headcount grew. Hiring shifted toward roles where experience and contextual judgment are what clients pay for.
The Intelligence That Doesn't Depreciate
The skills losing value are the ones AI can learn from a dataset: structured analysis, routine data processing, predictable reporting. The skills gaining value are the ones only personal experience can build. LinkedIn's data shows employers are bidding up the human abilities that models can't replicate - executive communication, cross-functional influence, and translating strategy between teams and external stakeholders.
Why this matters for Executives and Strategy
For senior leaders, the data underscores why AI for Executives & Strategy is moving from an optional skillset to an essential competency. The workforce is splitting into two different futures: one dominated by automatable cognitive tasks, the other defined by high-value judgment and relationship work. Executives need to audit which half of their own and their teams' capabilities they are actively developing. The skills AI can absorb are the ones most easily scaled; the ones that matter most are built through years of experience, personal accountability, and the ability to make decisions when no dataset has the answer.
Your membership also unlocks:
