Rocket is betting you’ll pay less for strategy reports that feel like McKinsey wrote them, and honestly, that pitch tells you everything about where AI tooling is headed in 2026.
The startup launched a platform that cranks out consulting-style product strategies at a fraction of what the big firms charge. On paper, this sounds great. In practice, I’m testing whether “McKinsey vibes” is actually what your business needs, or just what founders think they need because that’s what venture capital taught them to want.
What Rocket Actually Does
Rocket positions itself as a complete solution platform for turning ideas into apps, with a heavy focus on the strategy layer that usually costs five figures from traditional consultancies. You feed it your business problem, and it generates reports that look and feel like someone from a top-tier firm spent weeks on them.
The interface is fast and organized, which matters more than people think. I’ve tested enough AI platforms to know that half the battle is not making users feel like they’re fighting the tool itself. Rocket clears that bar.
The Real Question Nobody’s Asking
Here’s what I keep coming back to: do you actually need a report that mimics McKinsey’s style, or do you need clear answers about what to build next?
There’s a difference. McKinsey reports are designed for a specific audience—executives who need to justify decisions to boards, investors who want familiar frameworks, teams that operate in environments where the format of your thinking matters as much as the thinking itself. That’s fine. That’s a real use case.
But most product teams I talk to don’t need that. They need someone to tell them which feature to ship first, whether their pricing model makes sense, and if their go-to-market strategy has any connection to reality. The question is whether Rocket’s AI can actually do that, or if it’s just really good at making things look authoritative.
Trust Issues in the Agentic Era
McKinsey’s own 2026 AI Trust Maturity Survey found progress in how organizations handle AI trust, but also persistent gaps in strategy and governance. That’s a polite way of saying companies are still figuring out when to trust AI outputs and when to double-check everything.
This matters for Rocket because strategy work lives or dies on trust. If I’m making a major business decision based on an AI-generated report, I need to know it’s not just pattern-matching its way through business school case studies. I need to know it understands my specific context, my market, my constraints.
I’m still testing whether Rocket delivers on that. The reports look good. They use the right frameworks. They sound confident. But looking good and being right aren’t the same thing.
The Bigger Shift
Rocket is part of a larger trend where AI startups are targeting professional services that charge premium rates for knowledge work. According to recent data, around 75% of current roles will need reshaping as AI embeds across workflows. Strategy consulting is an obvious target—high prices, repeatable frameworks, lots of research and synthesis work that AI can handle.
The predictions for 2026 point to significant AI advancements, and tools like Rocket are positioned to benefit. But there’s a gap between “AI can do this” and “AI should do this” that the industry hasn’t fully worked out yet.
My Take After Testing
Rocket works if you know what you’re getting. It’s a solid tool for generating strategy documents quickly, especially if you need something that looks professional for stakeholders who expect that format. The speed and cost savings are real.
But don’t mistake the format for the insight. Use it as a starting point, not an endpoint. Treat it like a really fast junior consultant who’s read all the right books but hasn’t lived through your specific problems yet.
That might be exactly what you need. Just make sure you know the difference.
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