AI as a growth engine, not an efficiency tool
Most AI strategies start with the same question: what can we automate?
It's a reasonable question. Automation is measurable, the ROI is calculable, and the organizational resistance is manageable — you're not changing what the organization does, just how efficiently it does it.
But that framing also sets a ceiling on what you can achieve. If you start with "what can we automate," you will automate things. You will save some hours. And you will have spent significant organizational energy to deliver a fraction of what AI makes possible.
The AI Sweden Leadership Report 2026, a synthesis of in-depth interviews with leading business executives in Sweden, makes this distinction explicitly:
"AI's real value is not in doing the same things cheaper, but in doing new things altogether — reshaping products, decisions, and business models. Cost reduction is visible early; strategic advantage compounds over time."
This is the distinction that separates organizations gaining competitive advantage from those running efficiency programs.
Two types of AI strategy
Efficiency-first strategy starts with existing processes. It asks: where are we slow, where are we paying for manual work, where can a model replace a repetitive task? It delivers measurable short-term results. It is also, in most cases, a commodity play — because your competitors can run the same efficiency program.
Expansion-first strategy starts with constraints and possibilities. It asks: what are we unable to do today that would matter if we could? What decisions are we making slowly that need to be made fast? What customer value is currently uneconomic to deliver? It delivers results that are harder to measure early — and harder for competitors to replicate.
Peder Blomgren, VP Head of Data Office R&D at AstraZeneca, described it this way in the report:
"As a leader, you do not invest in AI — you invest in achieving your objectives. We doubled our revenue between 2020 and 2025, with AI as a key enabler. Now AI is crucial to achieve our 2030 Ambition: 20 new medicines, doubled revenue, and a very ambitious sustainability agenda. AI is explicitly integrated, with clear and measurable targets."
Note what he did not say. He did not say "AI saved us X hours per year" or "AI reduced our processing costs by Y percent." He described AI as the enabler of a business objective: 20 new medicines, doubled revenue.
That is a fundamentally different relationship to the technology.
Why efficiency logic dominates anyway
If expansion-first strategy delivers more value, why do most organizations default to efficiency-first?
Three reasons:
It's easier to justify. Traditional ROI calculations work for efficiency. The math is visible: process takes X hours, AI reduces it to Y, multiply by headcount. For expansion, the math is a bet — the upside is conditional on things that haven't happened yet.
It feels less risky. Automating back-office processes doesn't change your business model. Expansion-first means committing to something new before you have proof it will work.
It's what technology vendors sell. "Reduce costs by 30%" is a headline. "Expand into markets you couldn't reach" requires a business conversation the vendor usually isn't equipped to have.
The report addresses this directly:
"The first phase is almost impossible to get through because you won't have ROI or clear answers. It requires courage and leadership. At its core, this is about the intrinsic qualities of a leader — it's science and art." — Lotta Lyrå, CEO at Södra
What this means for leadership
The shift from efficiency to expansion changes the nature of the leadership question.
Efficiency is a management problem: identify the process, select the tool, measure the output. It can be delegated to operations or IT. It doesn't require the CEO to understand AI — it requires someone to manage a tool deployment.
Expansion is a leadership problem: it requires understanding what the organization is trying to become, which constraints are structural versus solvable, and where AI changes the economics of a decision. That cannot be delegated to IT. It requires the person responsible for the business outcome to be part of the question.
This is why the report finds, consistently, that the executives who drive AI transformation are not AI enthusiasts — they are business leaders who saw AI as the means to a business objective they already had.
"Our vision is to transform the entire business model — and AI is a key enabler in getting us there." — Pär Lärkeryd, CEO at Norra Skog
The technology did not create the vision. The vision preceded the technology. AI became the instrument because the business objective demanded it.
The question to ask before you start
Before deciding which AI tools to evaluate, before building a business case, before selecting a vendor: what are you trying to achieve that you're not achieving today?
Answer that concretely. Not "be more efficient" or "stay relevant" — but the specific business outcome that matters. Revenue that isn't there. Decisions that take too long. Customer value that's currently too expensive to deliver at scale.
Then ask: is AI the right means to get there? Which parts of the chain need to change? What does success actually look like, and in what timeframe?
That conversation is harder than selecting an AI tool. It is also the conversation that determines whether your AI investment produces efficiency gains or competitive advantage.
For leaders considering Track 1
Mindtastic's Track 1 — Leadership & critical thinking — is designed for exactly this conversation. Not AI theory, not a vendor pitch, not a technical overview. A structured engagement for executives who need to make real decisions about AI in their organization: what to invest in, what to demand from their teams, what questions to ask — and what to be skeptical about.
The goal is not to make executives into AI experts. It is to give them enough grounded understanding to lead the question rather than delegate it.
If your organization is deciding now what AI should mean for your business, that's where to start.
Source: AI Sweden Leadership Report 2026 — ai.se/sv/ai-sweden-leadership-report-2026
Related: The leader who can't delegate — tomasandre.se