In 2026, the gap in AI adoption between companies is enormous. Corporations, due to security requirements, are often limited to weak open-source models, even without coding agents. Startups are fully leveraging Claude Code or Codex. A telling example: Boris Cherny, creator of Claude Code at Anthropic, shared that he hasn't written a single line of code by hand for 2+ months — AI agents do everything. Meanwhile, Anthropic is actively hiring engineers, with over 100 open positions on their website.
A paradox? Not really. The engineer's role has simply changed, and it's important for businesses to understand this:
Writing code is losing its value. The value has shifted from HOW to write code to WHAT to build. Architecture, feature prioritization, quality control — that's what engineers are paid for today.
Role boundaries are blurring. If an engineer prompts AI, talks to clients, and decides what to build — how is that different from a product manager? The new engineer is a PM with deep technical expertise. For businesses, this means: rethink who you hire and what skills you pay for.
AI is a multiplier, not a replacement. Anthropic with 3,000 employees is already comparable in impact to Oracle with 162,000. AI doesn't remove people from the equation — it makes each of them exponentially more powerful. The question isn't whether to hire people, but how well your people are equipped with the right tools.
For founders, the takeaway is simple: competitive advantage right now isn't about team size — it's about how quickly you integrate AI agents into your processes. Those who do it first will get the same multiplier that gives Anthropic an edge over companies 50 times larger.