Hard things are now easy
Strategy runs on assumptions about what is hard. AI just repriced hard, and most strategies have not noticed.
Every strategy is a bet about difficulty. Underneath the frameworks and the horizon charts, a strategy is a set of assumptions about what is hard — hard to build, hard to copy, hard to learn, hard to do at quality, hard to do fast. You place your organisation on the right side of those difficulties and you win.
Which is why the most strategically consequential fact of this decade is deceptively simple to state: a large class of things that were hard are now easy. Not incrementally easier. Repriced. Producing a competent first draft of almost any knowledge artefact — analysis, code, copy, contract, curriculum, campaign — has gone from days of skilled labour to seconds of machine time. And difficulty is not a detail of strategy. It is the substrate. When the difficulty landscape moves, every strategy sitting on it moves too, whether or not the strategy documents acknowledge it.
Most do not. I sit in strategy sessions across government, banking and the ASX 200, and the standard posture is to treat AI as a line item — an efficiency program, a risk register entry, a slide near the end. The assumption is that AI changes how fast the strategy executes. The reality is that it changes whether the strategy makes sense at all.
An audit of quiet invalidations
Take the assumptions one at a time and ask: was this priced when things were hard?
Moats built on accumulated expertise. A firm that spent twenty years developing a proprietary methodology — a way of doing due diligence, of structuring deals, of running assessments — has been holding an asset whose value depended on that methodology being hard to replicate. When a capable model plus a good practitioner can approximate much of it in weeks, the moat has not disappeared, but it has narrowed from a river to a creek. What remains defensible is the part machines genuinely cannot do: the relationships, the judgement under ambiguity, the accountability someone will pay for. Strategies that do not distinguish the automatable core from the defensible residue are defending the wrong asset.
The talent pyramid. Professional services, and most corporate functions, are shaped like pyramids because the economics of hard work demanded it: many juniors doing laborious groundwork, fewer seniors applying judgement, margin generated in the gap. When the groundwork gets easy, the pyramid's base stops being a profit centre and starts being a cost question. But the pyramid was never only an org chart — it was the training system. Juniors became seniors by doing the hard, boring work that is now automated. Any strategy that quietly assumes a continuing supply of seasoned judgement, while eliminating the work that seasons it, contains a contradiction with a ten-year fuse.
MVP thinking and the economics of experiments. A generation of product strategy rests on the idea that building is expensive, so you validate before you build: minimum viable products, staged funding, fail fast. When building a working version of most software ideas costs days, the scarce resource inverts. Experiments are cheap; what is expensive is attention, distribution and the judgement to know what is worth trying. "Fail fast" was a rationing rule for costly construction. Rationing something that is now abundant is not discipline — it is a habit. The organisations that update will run portfolios of dozens of cheap, real experiments while their competitors are still writing business cases for one.
Agile as an organising religion. Agile, too, was an adaptation to difficulty — specifically, to the difficulty of specifying software up front when building was slow and change was costly. Sprints, ceremonies, story points: an elaborate machinery for rationing scarce developer hours against uncertain requirements. When implementation is fast and cheap, the bottleneck moves upstream to deciding what to build and recognising whether it is right. Much of the ceremony persists anyway, because process outlives the constraint that justified it. Asking "which of our processes exist to manage a difficulty that no longer exists" is one of the highest-value questions a leadership team can spend an afternoon on.
Headcount as the measure of capacity and status. Budgets, spans, band levels, the whole grammar of organisational size assumes output scales with people. When a five-person team with agents outperforms a fifty-person team without, that grammar breaks — and with it, quietly, the incentive structures. If your leaders' status still scales with the size of their empires, you are paying people to resist exactly the restructuring your strategy needs. Almost every large organisation currently is.
Speed of competitive response. Perhaps the least examined assumption: the grace period. Strategies assume that when you move, competitors need time to observe, decide and replicate. That interval was set by how hard replication was. It is collapsing. Anything visible and automatable will be copied faster than your planning cycle assumed. Which forces a sharper question than most strategy sessions ask: of everything we do, what specifically stays hard?
What stays hard
Because some things do. The repricing is not uniform, and the strategic skill of the moment is telling the columns apart.
Trust stays hard. Institutional permission — being the organisation a government, a bank, a regulator will actually let do the thing — is accumulated slowly and machine-independent. Distribution stays hard: attention, relationships, the installed base of people who already buy from you. Accountability stays hard, and arguably appreciates: when anyone can produce the analysis, the question becomes whose name stands behind it, and that is not a product machines offer. Taste and problem selection stay hard — abundance of production makes the chooser, not the producer, the scarce role. And coherent execution across an organisation — getting hundreds of humans and now thousands of agents pointed at the same intent — may be the hardest thing left.
Notice what these have in common: none of them is a deliverable. The deliverables got easy. What stays hard is everything around the deliverable — the judgement before it, the trust beneath it, the accountability after it. Strategies should be rebuilt around that residue.
The meeting to have
Here is the practical version. Take your current strategy — the real one, the one resourcing decisions follow — and run a difficulty audit. List the load-bearing assumptions: what we believe is hard for us, hard for competitors, hard for new entrants. For each, ask two questions. Was this priced before 2023? And if this got ten times easier, does the strategy still stand?
In my experience the exercise produces three lists. Assumptions that survive — genuinely still hard, defend them explicitly. Assumptions that fail — repriced, and the strategy needs redesign, not adjustment. And the most interesting list: new opportunities, things your organisation always wanted to do but never could because they were too hard, that are now sitting there, easy, unclaimed. Every organisation has this third list. Almost none has looked at it, because the strategy process is still staffed, scheduled and framed as if difficulty were where it was five years ago.
The next strategic cycle will be won by organisations that redraw the difficulty map before their competitors do — and have the honesty to act on what the map shows, including the parts that gore sacred cows. Our strategic foresight roundtables exist to run exactly this examination with leadership teams. If your strategy has not been audited against the new landscape, start the conversation.