Last week, your company declined a senior candidate requesting $250,000 in base compensation.
Five years of experience across two startups. Built a complete AI SaaS platform using AI development tools. Delivered features that would have required your engineering teams quarters to ship. Her equity had vested, she sought work-life balance after years of startup intensity, and she was willing to work on-site. She interned for you her sophomore summer, and you were her first call when she started the search.
Your talent acquisition team rejected her ask—40% above band. Your compensation consultant dismissed her entirely: “Internal equity concerns. She made $20/hour as an intern seven years ago. She’s worth $120k at best.” Your VP of Engineering added, “We can’t set that precedent.”
Two days later, she called. $245,000 base at your competitor. Fully remote. She’d prefer to come back if you could match it—she’d enjoyed working there.
You congratulated her. Told her to take it. You both knew you couldn’t get approval for even half that. CxO or not, HR controlled the process.
You did not lose an engineer. You lost the individual who would have eliminated half your roadmap backlog in her first quarter. Who would have transferred AI-native development patterns to your team. Who would have anchored your AI transformation.
She is executing that mandate now. For your competitor.
The Market Has Changed
Your human capital policies were built for a labor market where engineering talent was largely interchangeable. Where “market rates” provided reliable benchmarks. Where compensation bands maintained internal equity and external competitiveness simultaneously.
That market structure has fundamentally shifted.
The engineering talent pool has split into two populations. One group builds with AI-native tooling, operates in agent orchestration patterns, and delivers in weeks what traditionally takes quarters. The other group maintains traditional development practices.
The productivity gap is significant. An AI-native engineer can compress development timelines substantially. They make traditional Agile processes look slow by comparison. You know this because you see it every day in the startup world.
More importantly: this talent is currently available. Most organizations are processing this shift exactly as yours is—running compensation decisions through existing approval frameworks while candidates interview elsewhere. Within 6-12 months, the available pool will contract sharply as faster-moving organizations complete their hiring.
You are not staffing for current needs. You are building the team that will execute your strategy in 2028. The question is whether they work for you or your competitors.
Beyond Engineering
The compensation challenge in engineering reveals a broader strategic gap.
Most organizations are asking how to add AI skills to existing roles. The more productive question: How should each function operate when AI is a core capability?
Your CFO does not need programming skills. But your finance function should be redesigned around AI agents that reconcile accounts and model scenarios at speeds that previously required consulting engagements.
Your General Counsel does not need prompt engineering expertise. But your legal processes should assume AI can analyze thousands of contracts in hours rather than weeks.
Your sales organization does not need technical training. But they should understand that “AI skills” will soon be as unremarkable as “email proficiency.”
Most importantly, your HR department needs to understand the shift in how AI drives better outcomes.
This is not about training programs. This is about redesigning how work gets done.
Two Decisions Required
You need to make two decisions with your HR leadership. This week, not next quarter.
Decision One—Chief People Officer: Make AI competency mandatory for all roles starting with HR. Include it in every job specification, performance review, and promotion criteria. Not as a developmental goal. As a requirement.
Some executives will resist. They’ll argue their functions are unique or the timing premature. These leaders are unlikely to succeed in your organization over the next 18 months—and that’s acceptable. True AI-native transformation fundamentally restructures organizations. Change will come regardless; you’re simply choosing to lead it.
Decision Two—Head of HR: Authorize market-rate exceptions for AI-native engineering talent. Give your recruiting team the ability to exceed standard compensation bands when the business case supports it.
Your compensation consultant will object. Your CFO may object. Some directors will be uncomfortable when individual contributors earn more than they do.
Be explicit about this reality: Individual contributors shipping features using AI now generate measurably more value than most management roles. Remind them, you can use your AI agent and MCP to ask about the project status. If leaders want premium compensation, they should return to building—and lead by example. Your organizational hierarchy reflects legacy structure, not where value is actually created today.
You have two options. Maintain your existing compensation framework and lose critical talent. Or adapt your framework and build competitive advantage.
Current market conditions favor hiring. AI-native engineers are interviewing now because most companies are stuck in the same decision cycle you are. They are evaluating multiple offers while your HR team debates band exceptions.
This will not last. In less than 18 months, aggressive companies will have hired the available talent. In twelve months, you will compete against offers you cannot match. By next year, this talent will have stopped responding to recruiters from companies that moved slowly.
The Practical Reality
Organizations making these decisions in the next 90 days will build meaningful advantages. They will acquire talent that competitors will struggle to hire later. They will develop AI-native capabilities that become genuine competitive moats. They will ship products noticeably faster than their markets expect.
The timeline matters. The engineers available today will not be available in six months. Companies moving now are building teams for 2028. Companies waiting are explaining hiring failures to their boards in 2026.
That engineer who wanted only $250,000 is building products for your competitor right now.
Two questions for you: Are you calling your Chief People Officer this week? Or are you comfortable explaining to your board next quarter why the talent you need is no longer available?