The biggest risk in AI isn't the technology. It's the leadership.
- Jeff Allyn
- Aug 26
- 2 min read
There's a massive disconnect in the market right now. Let's talk about leadership in the era of AI.
Recent data shows 91% of mid-market companies are using generative AI. Yet a staggering 63% feel unprepared for its implementation, citing a lack of in-house expertise and a clear strategy as the top barriers.
This isn't an "AI readiness gap." It's an AI leadership gap.
For too long, we've treated AI as a technology problem for the CTO to solve. We've treated growth as a sales problem for the CRO to solve. And we've treated efficiency as an operations problem for the COO to solve.
This siloed approach is failing.
Companies are buying the latest AI engine but have no one who knows how to connect it to the chassis (operations) and the drivetrain (revenue). The result is wasted investment, fragmented efforts, and a growing sense of anxiety in the C-suite.
The future doesn't belong to companies with the most AI tools. It belongs to those with leaders who can architect a single, integrated system where People, Process, and Platform work in unison.
This isn't just theory. It's a playbook I've created to:
Drive 100% revenue growth ($25M to $50M) in 12 months by building a company's first comprehensive sales organization.
Deploy AI SuperComputers and lead a "moonshot" team that generated significant strategic impact for a corporate parent like Shell.
This is why I founded akwaint.ai. We're moving beyond fractional roles to serve as the Integrated Growth Architect for businesses at their most critical inflection points.
I'm curious—where are you seeing the biggest disconnect between AI investment and actual business results in your organization or portfolio? Is it a tech issue, a strategy issue, or a leadership issue?
Let's discuss.
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