The Tale of Two Accountants
Two accountants with identical skills, both at firms with high AI exposure for their role. Different outcomes:
Accountant A works at a firm with a formal AI strategy, executives who understand augmentation, and a budget for "AI enablement." The firm is adopting AI agents for routine reconciliation and flagging anomalies. Accountant A becomes the person who interprets what the AI finds, manages client relationships, and handles edge cases. She's now more valuable, earning 20% more, with deeper expertise. She owns the AI-human interface.
Accountant B works at a firm where the CFO read an article about AI cost-cutting and is now having IT implement whatever's cheapest. No strategy. No training. No augmentation framework. The routine work gets automated poorly, clients complain, and Accountant B spends time fixing AI mistakes instead of doing accounting. His role hasn't been eliminated, but it's been degraded. He's now the "AI babysitter," not an accountant.
Same role. Same AI exposure. Completely different futures.
The Heterogeneity Problem
Firm-level heterogeneity is as significant as occupational-level exposure. Some firms in the same industry adopt AI at 10x the rate of competitors. Organizations with formal AI strategies report 80% success. Organizations without? 37%.
This isn't random. It's structural. The firms that thought about AI before they needed it are executing better than the firms reacting to it.
What Good Maturity Looks Like
Mature organizations:
- Have named leaders accountable for AI adoption (Chief AI Officer, Head of AI Enablement)
- Have budget allocated specifically to AI education and tooling
- Frame AI as augmentation first, automation second
- Have governance around AI decisions (not ad-hoc tool adoption)
- Are measuring outcomes, not just rollout speed
Immature organizations:
- Random tool adoption by different departments (no coordination)
- Cost-cutting as the primary driver ("let's replace that role with ChatGPT")
- No training or change management
- No governance or risk framework
- Moving fast and breaking things, but mostly breaking employee trust
How to Assess Your Company
Ask these questions:
- Does your company have a named AI leader and a formal AI strategy document?
- Is there budget for employee training in AI tools specific to your role?
- Are decisions about AI adoption made centrally or scattered across departments?
- How is success measured—cost reduction or productivity gains?
- Have there been any AI-driven layoffs yet, or is adoption positioned as augmentation?
If you answer "yes" to 4 or 5, you're at a mature company. If it's 2 or less, you're at risk, and you should plan accordingly.
The Strategic Question
If your company is immature, do you wait for it to mature, or do you move? The answer depends on your tolerance for chaos and your ability to shape the maturity curve yourself. If you can become the AI person before the organization formalizes it, you own the narrative and the opportunity. If you can't, you should probably be interviewing.
Your job didn't change. Your company's ability to implement change did. That's what matters.