The Rise of the AI-Empowered Executive
When Meta announced it would spend up to $65 billion on AI infrastructure in 2025, a figure it has since revised even higher, it sent a clear message to the rest of the business world.
The AI era isn’t coming. It’s here. The executives who thrive in it won’t be the ones who sign off on the capex. They’ll be the ones who know how to use it.
A new kind of leader is emerging. Call them the AI-empowered executive. Someone who combines human judgment with AI-driven leverage to move faster. Decide smarter. Manage more with less.
The Numbers Are Telling a Story
Meta’s spending trajectory is a proxy for a broader corporate reckoning.
Goldman Sachs now projects the four largest hyperscalers (Meta, Microsoft, Amazon, and Alphabet) will collectively spend $725 billion on capital expenditures in 2026 alone. Up 77% from the prior year’s record-breaking level.
That spending is on a fundamental restructuring of how organizations operate. And organizations that treat AI as a back-office productivity tool are going to find themselves structurally outmatched.
From Tool to Operating System
McKinsey’s research on the agentic organization describes the transformation well. Companies are moving from using AI as a point solution to building AI-first workflows.
This is already happening. Autonomous agents handle complex, multi-step tasks with minimal human intervention.
In this model, executives orchestrate networks of human and AI contributors. That’s a different job than the one most executives were trained for.
The Credential Question
Former Google executive Jad Tarifi has argued that advanced degrees are a poor investment.
Why? Because, according to Tarifi, AI closes the gap between credentialed expertise and practical capability.
His view: ChatGPT can now give someone access to knowledge that once required years of formal study. Kind of like the characters in The Matrix, where their brains download a software program.
A Foundation for Leadership
That’s a controversial take. But it’s not a fair indictment of education. Rather, it’s a sign that the type of learning should not be underestimated.
Doctoral programs in educational leadership develop strategic thinking, ethical reasoning, and adaptive leadership. These degrees are arming execs with capabilities AI cannot replicate.
Most leaders pursue a Doctor of Leadership degree online. It’s flexible. 100% online coursework with no residencies. Two years to complete. Students can work and study without missing a beat.
Spalding University adds that an online doctorate in leadership equips leaders to manage more strategically and ethically.
The Supermanager
There’s a concept gaining traction in HR circles: the supermanager.
HR Executive defines supermanagers as leaders who can effectively oversee AI-augmented teams. It encompasses people who create the conditions for both humans and AI agents to do their best work.
A strong manager used to oversee a team of 8-12. A supermanager can successfully coordinate workflows that would have required departments.
The managerial profile changes. Less time on scheduling, reporting, and information consolidation. More time on judgment, culture, and strategy.
“There’s a clear business driver here, too. Without supermanagers, organizations will struggle to get the levels of ROI they are looking for from AI.” – Julia Bersin, Associate Director at The Josh Bersin Company via HR Executive.
Fast Company takes this further, arguing that the most effective leaders now think of their workforce (human and AI) as a portfolio to be actively managed.
Skills get deployed. Gaps get filled faster. The org chart becomes less static.
Superagency, Not Dependence
McKinsey’s notion of “superagency” is worth mentioning.
Their research found that almost all companies invest in AI, yet only 1% believe they’ve reached maturity. That gap is human. Most organizations haven’t empowered their people to use AI at scale.
The executives bridging the divide share a few traits:
- They experiment personally with AI tools rather than delegating all AI work to a tech team.
- They redesign workflows before automating them.
- They invest in building AI fluency across their organizations.
FAQs
Does an executive need a technical background to thrive in an AI-driven organization?
Not necessarily. The most effective AI-empowered leaders are coming from strategy, operations, and people-focused backgrounds.
Are traditional leadership development programs still relevant?
Yes. However, the emphasis is shifting. Programs like online leadership doctorate programs develop judgment, systems thinking, and ethical reasoning, which are still valuable.
What’s the biggest mistake organizations make when adopting AI at the executive level?
Treating AI as an IT project rather than a leadership challenge. The organizations seeing the most impact are those where senior executives are personally engaged with AI.
How does AI change the relationship between managers and their teams?
The focus moves from coordination and information flow toward coaching, motivation, and judgment calls.
Key Stats at a Glance
| Metric | Figure | Source |
| Meta’s 2025 AI capex | $72.2 billion | NYT / Meta earnings |
| Companies that believe they’ve reached AI maturity | 1% | McKinsey Superagency Report |
| YoY increase in hyperscaler capex spending (2026 vs 2025) | About 77% | Goldman Sachs analysis |
| Combined hyperscaler capex (2026) | $725 billion | Goldman Sachs via Yahoo Finance |
Don’t Discount Authentic Intelligence
The World Economic Forum (WEF) makes a point that sometimes gets lost in the conversation.
And that is the irreducible value of human judgment, empathy, and contextual wisdom. AI can generate options. Executives have to choose and own the consequences.
The leaders who will be remembered for navigating this era well will be those who used AI to make better decisions, faster, while keeping the human stakes in mind.