Forbes recently published an article suggesting that AI has given rise to an entirely new profession, positioning roles like 'prompt engineer' or 'AI handler' as unprecedented career categories born from large language models and generative systems. The piece apparently frames these jobs as something the technology industry has never seen before—a clean break from everything that came prior.

A Pattern Older Than Computing Itself

But analysts and tech historians have pushed back hard against this framing. The Future Hangover Substack, in a widely-discussed response on Hacker News, points out that every major technological transition has produced similar 'new profession' declarations. When mainframe computers arrived in the 1950s, we got systems programmers. When personal computers hit mainstream markets in the 1980s, IT support became a career category. The internet boom of the 1990s created web developers and network administrators. Each generation convinced itself it had discovered something fundamentally different. The reality, according to critics of the Forbes piece, is that these roles represent evolution rather than revolution—specialized applications of existing skills adapted to new tools. A prompt engineer, at its core, is someone who knows how to communicate effectively with a system and evaluate outputs. That's been the job description for technical writers, editors, and UX researchers for decades.

Why This Framing Persists

The 'new profession' narrative serves multiple interests in the tech industry. It justifies premium salaries for early adopters, creates marketing opportunities for training programs and certifications, and feeds the relentless hype cycle that keeps venture capital flowing toward AI startups. If prompt engineering is truly novel, then companies can charge thousands for courses teaching these skills—never mind that the fundamentals are teachable in days rather than months. There's also a psychological component: tech workers want to believe their skills are irreplaceable and uniquely valuable. The 'AI created this profession' story suggests that no previous generation could have prepared for this moment, which makes current practitioners feel essential rather than temporary.

What Actually Changed

None of this means AI roles aren't real or important—they absolutely are. But the distinction matters for workforce planning, education policy, and individual career decisions. Understanding that these 'new' professions build on existing foundations helps organizations hire more effectively and helps workers transfer skills when the next technology wave inevitably arrives.

Key Takeaways

  • Tech publications regularly declare new professions with each innovation cycle—this pattern predates AI by decades
  • Roles like prompt engineering blend existing skills (communication, critical thinking, domain expertise) rather than creating entirely novel ones
  • The 'new profession' narrative benefits certification vendors and companies selling training programs
  • Historical perspective helps workers make better career decisions without falling for hype cycles

The Bottom Line

Forbes calling prompt engineering a 'new profession' is exactly the kind of tech journalism that sells magazines but misleads readers. History shows us these transitions are cyclical, not singular events—and anyone planning a career around AI should understand they're joining a long tradition of technology adaptation, not inventing the wheel.