Contents
The playbook that built the last decade is quietly failing.
Over the last decade I've watched growth become progressively more expensive while differentiation has become progressively harder.
More salespeople. More marketing. More software. More spend.
Acquisition costs keep climbing, software markets are increasingly crowded, and AI is collapsing the cost of shipping product. Growth is becoming harder to buy and easier to waste — and most operating models still assume neither is true.
The companies I see creating separation right now are not the ones spending more. They are the ones engineering leverage. Growth has stopped being a sales problem or a marketing problem in any pure sense.
It has become a systems problem.
Growth is becoming a leverage problem.
Paid channels are saturated. Buyers are better informed than the sellers calling them. Procurement cycles have lengthened. In almost every board meeting I sit in, the same pattern shows up: the next rep, the next campaign, the next platform returns less than the one before it.
The operators pulling ahead aren't the ones with the biggest budgets. They're the ones engineering compounding advantages — distribution through partners, intelligence through usage data, trust through community, execution through tight operating cadence.
Products alone are no longer enough.
AI has collapsed the cost and time of building software. What used to require a full engineering team and twelve months of runway now ships in weeks. I've watched founders rebuild years of competitor roadmap in a quarter. That cuts both ways.
Feature parity arrives faster. Differentiation that used to live inside the product is being commoditized in real time. The moat is migrating outward — into distribution, trust, ecosystem strength, positioning, onboarding, and the discipline of execution.
Ecosystems are becoming growth infrastructure.
One of the clearest patterns I've observed across SaaS, marketplaces, and enterprise is that the fastest-growing companies rarely scale alone. Partnerships, alliances, marketplaces, integrations, and communities have become the connective tissue through which modern revenue is built, delivered, and expanded.
Treating partners as a logo wall or a referral channel underestimates what they're actually capable of producing: distribution into accounts you can't economically reach, trust transferred from established brands, implementation capacity that accelerates time-to-value, customer outcomes that compound retention.
The operative shift is to stop running ecosystems as a partner program and start treating them as a growth engine — funded, instrumented, and held accountable to revenue.
Customer intelligence becomes a competitive advantage.
The leadership teams I see making the sharpest calls aren't the ones with the most dashboards — they're the ones operating closest to the signal. Digital experience data, behavioral analytics, qualitative research, journey intelligence, and product usage have moved from reporting artifacts to decision-making inputs.
Better intelligence improves what actually matters: which segments to prioritize, which customers to invest in retaining, where expansion will compound, which product investments are earning their cost of capital.
AI is an accelerator, not a strategy.
There's a widening gap between AI adoption and AI value creation. I see it in every executive conversation. Pilots accumulate. Tools get bought. Demonstrations get run. And the underlying business metrics rarely move.
AI is most powerful when it amplifies a system that already works. Applied to revenue growth, customer experience, operational efficiency, or decision-making, it compounds returns. Applied without a thesis, it produces motion without outcomes — and scales the wrong workflow faster.
Execution remains the ultimate differentiator.
After two decades inside operating teams, I am convinced of one thing: most organizations don't suffer from a lack of ideas. They suffer from a lack of execution. Alignment, prioritization, accountability, and change management remain the quiet variables that decide whether a strategy compounds or stalls.
The strategies that win aren't the most ambitious. They're the ones the organization can actually metabolize — sequenced into operating cadence, instrumented against measurable outcomes, and reinforced by leadership behavior.
The Growth Leverage Model
Five inputs that compound into revenue growth — sequenced, not stacked. Each layer multiplies the layer above it.
After two decades working across partnerships, customer experience, SaaS, marketplaces, and enterprise growth, I've become convinced of one thing: growth is increasingly a leverage problem.
The companies that will define the next decade won't be the ones with the largest budgets or even the best products. They'll be the ones that learn to compose strategy, ecosystems, intelligence, AI, and execution into a single engine — and run it with discipline.
A point of view on what comes next.
The future of growth belongs to organizations that create leverage.
The next generation of market leaders will be the organizations that most effectively combine strategy, ecosystems, customer intelligence, AI, and disciplined execution into a single scalable growth engine.
That is the work. And it is increasingly the difference between companies that scale and companies that simply grow.
- 01McKinsey & Company — Growth and resilience through ecosystem building
- 02McKinsey & Company — Creating value from digital ecosystems
- 03Harvard Business Review — In the ecosystem economy, what’s your strategy?
- 04Bain & Company — Strategic alliances