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Career & Future

AI Skills Now Worth More Than an MBA, Say 86% of Finance Executives

A PwC survey of 1,000+ US financial services executives finds AI skills valued above MBAs, 91% increasing compensation for AI-fluent staff, and nearly 8 in 10 expecting workforce reductions of 20% or more.

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The typical MBA costs nearly $300,000. A growing number of finance executives are asking whether that money would be better spent on AI training. According to PwC’s 2026 Financial Services Workforce AI Survey, 86% of more than 1,000 US financial services leaders say AI skills training is more valuable than an MBA for many new hires. The survey, released in early August, also found that 91% are increasing compensation for employees with AI skills.

What is the PwC Financial Services Workforce AI Survey? PwC surveyed over 1,000 director-level and above executives at US financial services firms about their AI adoption, workforce planning, and hiring strategies. It provides one of the most detailed sector-specific looks at how AI is reshaping hiring and compensation in finance.

🔍 THE BOTTOM LINE — The finance industry is rewriting its hiring criteria in real time. AI fluency is becoming the credential that matters most, and firms are backing that preference with higher pay. But the same survey reveals a workforce planning gap: firms expect fewer people, but most haven’t figured out what roles the remaining workforce will actually fill.

AI Skills Command a Pay Premium

The compensation signal is striking. According to the Claims Journal’s coverage, 91% of executives surveyed said they are increasing compensation for employees with AI skills. More than half — 58% — plan to tie compensation directly to AI-enabled performance.

This isn’t a marginal bump. PwC’s broader 2026 Global AI Jobs Barometer, released in June, found that workers with AI skills earn 62% more on average across all sectors. In financial services specifically, the premium is likely higher given the sector’s aggressive AI adoption and the technical complexity of use cases like algorithmic trading, fraud detection, and autonomous agents.

Peter Pollini, who leads PwC’s financial services industry practice, said firms are looking for workers who understand not just what an AI agent is, but how to build and manage one. “There is a clear need for people that understand not just what an agent is, but how do you build them? How do you think about managing them?” he told the Claims Journal.

The MBA Question

Whether an MBA is worth the investment has been debated for years, and AI is tilting the conversation. The total cost of a top-tier MBA now approaches $300,000. Against that price tag, a shorter, cheaper AI-focused credential looks increasingly attractive.

Universities are adapting. Harvard, Wharton, and MIT now offer AI-themed executive education courses that are shorter and less expensive than full degree programs. MIT’s five-day “Leading the AI-Driven Organization” course costs roughly $13,000 — a fraction of an MBA.

But the PwC survey doesn’t say MBAs are worthless. It says AI skills are more valuable for many new hires. The distinction matters. Strategic thinking, leadership, and financial modelling — hallmarks of MBA programmes — haven’t lost relevance. What’s changed is that AI literacy has become a baseline expectation, layered on top of everything else.

Companies Hiring AI-Fluent Graduates

The demand isn’t hypothetical. The Claims Journal reported that companies including IBM, Shopify, and Cloudflare are ramping up entry-level hiring, betting that Gen Z graduates equipped with AI tools can outperform existing employees.

LinkedIn’s August study, covered by CNBC, found that Gen Z workers make up more than two-thirds of hires for forward deployed engineer and AI engineer roles, with median salaries of $199,000 and $166,000 respectively. The number of AI job postings on LinkedIn surged 156% between 2024 and 2025.

This connects to a pattern we’ve tracked: the career ladder hasn’t disappeared, it’s moved. Workers who can build, deploy, and manage AI systems are in explosive demand. Workers who can’t are facing a tougher market. Our earlier analysis of Gen Z’s split fortunes in the AI job market documented this two-track reality.

The Workforce Planning Gap

Here’s where the PwC survey turns from opportunity to warning. Nearly eight in ten financial services leaders expect their workforce to shrink by at least 20% over the next five years. But only 42% have done high-level modelling to understand what that means for their organisation. And of those, only half have looked at redesigning processes or workflows to account for AI.

In other words, firms are planning for a smaller workforce without clearly defining what the remaining workforce will do. PwC’s framing is blunt: “They’re often planning for a smaller workforce — and hoping AI fills the gap.”

That’s not a workforce strategy. It’s a headcount target with a prayer attached.

NZ Angle: The Credential Shift Reaches Aotearoa

New Zealand’s finance sector is smaller and less AI-intensive than Wall Street, but the credential shift is visible. KPMG’s CEO Outlook 2025 found that 40% of New Zealand CEOs plan to allocate 20% or more of their budgets to AI spending — nearly triple the global average of 14%. Only 50% feel equipped to educate staff on AI, compared to 78% globally.

The KPMG data also shows 60% of NZ CEOs are actively hiring for AI and broader tech skills, while 67% plan to increase headcount over the next three years — down from 92% globally. The gap between hiring ambition and capability to train is the same gap PwC identified in US financial services.

For New Zealand workers, the signal is the same: AI literacy is becoming the differentiator that separates high-paying roles from the rest. The question is whether NZ employers and education providers can build that capability fast enough.

What This Means for Your Career

The PwC data points to a clear takeaway for anyone in or near financial services: AI skills are no longer optional, and they’re worth real money. You don’t necessarily need to abandon an MBA plan, but you should think hard about whether a $13,000 AI course might deliver a better return than a $300,000 degree.

The more fundamental shift is what employers are actually looking for. They want people who can work alongside AI — not just use ChatGPT, but understand how to build agents, manage workflows, and redesign processes around what AI does well. That’s a different skill set from what most business schools currently teach.

❓ FAQ

Is an MBA still worth it in 2026? It depends on your goals. The PwC survey suggests AI skills are valued above MBAs for many new hires in finance, not all. Leadership roles, strategic positions, and specialised finance functions still reward MBA-level training. But the credential alone is no longer sufficient — AI literacy is becoming a baseline requirement.

How much more do AI-skilled workers earn? PwC’s 2026 AI Jobs Barometer found a 62% wage premium for AI skills across all sectors. In financial services, 91% of executives are raising compensation for AI-skilled employees. LinkedIn data shows median AI role salaries around $177,000, more than double the $80,000 median for non-AI roles.

What AI skills should I learn for a finance career? The PwC survey highlights demand for people who can build and manage AI agents, not just use chatbots. Practical skills in data preparation, machine learning operations, and AI workflow design are particularly valued. Short courses from MIT, Harvard, and other institutions now offer AI-focused credentials at a fraction of MBA costs.

Does this affect New Zealand’s finance sector? KPMG data shows 60% of NZ CEOs are actively hiring for AI skills, and 40% plan to allocate 20%+ of budgets to AI. The credential shift is reaching Aotearoa, though the capability gap — only 50% of NZ CEOs feel equipped to educate staff on AI — suggests the transition will be slower than in the US.

🔍 THE BOTTOM LINE — The PwC survey crystallises a shift that’s been building all year. AI skills are the new premium credential in financial services, valued above the MBA by the people doing the hiring. They’re paying for it — 91% are raising compensation. But the same leaders expect to shed 20% of their workforce and haven’t planned what comes next. The career opportunity is real for AI-fluent workers. The organisational risk is equally real for firms cutting headcount without a strategy for the people who remain.

📰 Sources

Sources: PwC, Claims Journal, The Hill, CNBC