You read the headline over your morning coffee: demand for a skill you had never heard of has jumped 1,721% in a single year. Your first reaction is not excitement. It is a quiet tightening in the chest. Am I already behind?
You are not alone in that feeling. And the same headline holds the answer to it.
The numbers behind the anxiety
According to an analysis by hiring data firm Draup, provided exclusively to CNBC, AI-related job postings at banks including JPMorgan Chase, Citigroup and Capital One rose 49% this year compared with 2025, to 139,819 listings. The fastest-growing cluster involves AI agents. Mentions of “agent orchestration,” the ability to design agents that work in concert on a task, jumped 1,721%.
“This is arguably the hottest skill on Wall Street,” Draup CEO Vijay Swaminathan told CNBC. “It’s a massive opportunity. They need people who understand data and people who understand AI and where to put it.”
If you stop reading there, the message seems simple: learn the tools or be left behind. Most people stop there. That is exactly where the anxiety comes from.
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The second story in the same article
Read further and a different story appears. Orchestrators, Swaminathan explains, decide which agents are needed, what each one does and which technology to use. They also decide when human overseers need to be involved.
That is not a coding decision. It is a judgment decision.
“There is a lot of complexity in an enterprise,” he told CNBC. “Sometimes these complexities are visible, but many times they are hidden. It takes a long time even to automate a simple process.” Even a team of agents built to approve employee vacation requests, he noted, runs into a web of edge cases and specific exemptions.
Then comes the line that should change how every leader reads this news: “Our analysis shows that there is a renewed focus on soft skills like problem solving, creativity, ability to ask tough questions, being assertive [when it comes to] deeper understanding of the processes.”
So here is the principle: Orchestration is a leadership skill before it is a technical one. And leadership under speed depends on one thing most AI training ignores: the inner state you bring to the work.
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Why most people respond to AI the wrong way
When the pace of change accelerates, people find themselves in the state Max Energy calls “Survivor Energy.” They rush from course to course. They say yes to every new tool. They nod in meetings and hide what they do not understand. On the outside it looks like adaptation. On the inside it is fear running the show.
Leaders are not immune. Gallup’s State of the Global Workplace 2026 report shows manager engagement fell from 27% in 2024 to 22% in 2025. Four out of five managers are trying to guide their teams through the AI transition with energy they no longer have themselves.
Survivor Energy produces exactly the opposite of what the market is asking for. Fear narrows thinking, so problem solving suffers. Rushing kills creativity. Anxiety makes people avoid tough questions. And someone afraid of falling behind rarely has the confidence to be assertive about how a process should really work.
The skills Wall Street is now paying for require Life Energy: calm, clarity and curiosity.
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The MAX ENERGY High-Performance Leadership System
The system rests on four energies. Each one answers a skill named in the CNBC report.
- Calm Energy: See the hidden complexity. Swaminathan says complexity in an enterprise is often hidden. You cannot see what is hidden while you are in a hurry. Before automating any process, spend ten minutes mapping it with the people who actually do it. Ask: “Where does this usually break?” The edge cases live in their answers, not in the system diagram.
- Curious Energy: Ask the tough questions. A curious mind treats AI as a colleague to interrogate, not an oracle to obey. Make one question a habit in every AI project meeting: “What would have to be true for this to fail?” Teams that can ask it out loud catch problems before customers do.
- Courageous Energy: Be assertive about the process. The orchestrator decides when humans step in. That takes the courage to say, “This process is not ready to automate,” or “A person must approve this step.” Practice saying one clear “no” or “not yet” this week, with your reasoning. Assertiveness is a muscle, not a personality type.
- Creative Energy: Design the combination. Problem solving at this level means combining agents, data and people in ways no manual describes. Give your team one protected hour a week to redesign a single workflow, starting from the question: “If we built this from zero today, what would it look like?”
The right talent is a state, not a résumé
The ripple effects are already visible. JPMorgan CEO Jamie Dimon has spoken of “huge redeployment plans” as AI takes over more work, CNBC reports. Banks are leaning into internal reskilling programs because they cannot hire enough specialists.
Redeployment means millions of people learning new roles while still doing their current ones. That is not only a skills challenge. It is an energy challenge.
“I think the more we prioritize those soft skills with the right amount of technical skills, people will adapt and learn,” Swaminathan told CNBC. “It’s a very exciting time for the right talent.”
The right talent is not the person who has read the most about AI. It is the person who can stay calm while everything speeds up, ask the question no one wants to hear, hold a clear line and still build something new.
Decide now
Ask yourself three questions this week:
- When I hear about a new AI skill, is my first feeling curiosity or fear?
- When did I last say “not yet” to a process that was not ready?
- Does my team bring me the hidden problems, or do I find them too late?
If any answer makes you uncomfortable, you have found your starting point.
Remember one distinction from this article: Machines can be orchestrated. People must be energized. The leaders who learn both will not fear the next headline. They will write it.
Sources
- “How AI is redefining Wall Street jobs — and boosting demand for this new ‘hottest skill’ by 1,721%,” CNBC, October 2, 2026. https://www.cnbc.com/2026/10/02/ai-redefining-wall-street-jobs.html
- Gallup, State of the Global Workplace 2026. https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx
