An investor with more than twenty years in the market asked me recently whether AI was going to replace software. He was not asking from a position of weakness. He has built a reputation, a portfolio, and a network that most people will not match in a lifetime. He just wanted to understand a thing that the people in their twenties around him already seemed to grasp.
A decade ago, that question would not have happened. Twenty years of market experience was a moat. The senior was the one with the answers. The junior was the one with the questions. The org chart, the seating chart, and the pay chart all reflected the same underlying logic.
That logic is breaking. The information that justified the old hierarchy is no longer scarce, and the market has noticed.
What hierarchies were really paying for
For most of the industrial era, organisations were built around an inconvenient fact. Information was hard to access, slow to move, and expensive to interpret. The people who had accumulated it over decades were genuinely more valuable than the people who had not. Seniority was a routing system. Junior staff gathered data. Mid-level managers compiled it. Senior leaders decided what to do with it.
This is the shape of what I call the Information Hierarchy. It is the org chart that most companies still operate on, even though the foundation it sits on has shifted.
Block’s founder Jack Dorsey wrote in a recent shareholder letter that “intelligence tools have changed what it means to build and run a company” as he cut his workforce from 10,000 to under 6,000. Coinbase is capping its structure at five layers between CEO and individual contributor. Moderna folded HR and technology into a single Chief People and Digital Officer role. Gartner projects that 20 per cent of organisations will eliminate more than half of their middle management positions by the end of 2026.
These are not aesthetic decisions. They are companies recognising that they no longer need as many humans to route information.
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The information hierarchy is repricing
The clearest signal of the shift is what the labour market is paying for. PwC’s 2025 Global AI Jobs Barometer, drawn from close to a billion job advertisements across six continents, found that workers with AI skills now command a 56 per cent wage premium over peers in the same roles without those skills. A year earlier, the premium was 25 per cent. The market more than doubled its valuation of AI fluency in twelve months.
The premium is not uniform across seniority. At entry level, the gap is six per cent. At staff engineer level, it is 18.7 per cent. At senior engineer level in firms like Intuit and Google DeepMind, it exceeds 70 per cent. The premium widens with seniority because the supply of AI-fluent seniors is genuinely thin.
But the more telling data point is the inversion at the edges. The AI Accelerator Institute found that junior AI professionals in North America averaged US$173,500 in total compensation in 2025, exceeding director-level averages of US$152,600 at some organisations. A senior title can now pay less than a junior one if the junior has the right skills and the senior does not.
This is not a story about youth winning and age losing. Some of the highest-paid AI specialists are in their forties and fifties. It is a story about what the market is actually paying for. Position on an org chart is no longer the unit. Capability is.
Reverse mentoring, where junior employees teach senior leaders, has shifted from a curiosity to an institutional practice. International Workplace Group research finds Gen Z employees actively coaching senior colleagues on AI fluency at companies including British Airways, PwC, and Estee Lauder. The arrow of mentorship now runs in both directions because the information advantage runs in both directions.
What replaces it is not flatter
The reflex reading of this trend is that hierarchies are flattening. The data supports that on one axis. But the deeper read is that the Information Hierarchy is being replaced by something else, and the something else is not flat at all. It is just invisible.
When information was scarce, hierarchy was visible in the org chart. When information is abundant, hierarchy moves to the things that remain scarce. Four of them stand out.
Judgment. AI can produce a hundred plausible answers in a minute. Knowing which one is correct, which one will work, and which one will quietly fail in production is a skill that does not improve with prompt access. It improves with reps, with mistakes, and with consequences that the person carries.
Taste. The ability to distinguish good output from technically correct output. AI is excellent at “correct.” It is not excellent at “good.” That gap is where senior judgment now lives.
Customer trust. A buyer signing a meaningful contract is not buying the AI model. They are buying the human who stakes their reputation on what the AI produces. Trust accumulates over years. It does not transfer through a Slack handover.
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Accountability. The willingness to own the outcome when it goes wrong. AI agents do not write resignation letters. They do not lose sleep. They do not get sued. Someone still has to.
These four are the new senior skills, and they share a property. None of them is easy to measure on a resume. The market knows they matter, but it does not yet have a clean way to price them.
The trap
The risk for companies right now is that they are cutting seniority because they have decided that information is no longer the moat, but they are accidentally cutting judgment with it. The two have been wrapped together for so long that most leaders cannot tell them apart.
The pipeline question, raised by Gartner and echoed by IBM’s decision to triple its entry-level hiring in 2026, is the same question in a different form. If you remove the layer where judgment was trained, where does the next generation of judgment come from? You cannot prompt your way to taste. You cannot agentic-workflow your way to accountability. Those grow in environments that the Information Hierarchy used to provide and that the new shape of the company has not yet figured out how to replace.
A 20-year investor asking how AI works is not a sign that experience has lost its value. It is a sign that experience has to be rebuilt around what AI cannot do, which is most of what mattered in the first place.
Three questions for leaders rethinking seniority
When you remove a senior role, are you removing information overhead or are you removing judgment?
When you promote based on AI fluency, are you promoting capability or are you promoting confidence?
If your most senior people left tomorrow and AI tools were unchanged, what specifically would your company no longer be able to do?
If the answer to the third question is nothing, you are not running a team. You are running a query interface with payroll attached.
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