nytimes.com · 1 Oct, 09:01 · Artificial Intelligence briefing

Opinion | These Things Are Computers. Stop Talking About Them Like They’re Human.

The article argues that contemporary technology discourse frequently mischaracterises artificial intelligence systems as possessing human-like consciousness or agency.

What it means for you ↓ Courses for this story

25–40%salary premium for professionals with applied AI skills

11xgrowth in AI job adverts since 2019

66%of leaders won't hire without AI literacy

20days to your first credential

The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

The article argues that contemporary technology discourse frequently mischaracterises artificial intelligence systems as possessing human-like consciousness or agency. This anthropomorphisation obscures the true nature of these tools, which are fundamentally complex algorithms processing data. The author contends that such language hinders accurate understanding of AI capabilities and limitations. For professionals, recognising this distinction is crucial for realistic expectations and effective integration of technology into workflows. The piece serves as a corrective to prevailing narratives, urging a shift towards precise, technical descriptions that reflect the mechanical reality of computing systems rather than projecting human traits onto them.

Employer demand for Artificial Intelligence skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

You must recalibrate your professional approach to artificial intelligence immediately. Stop treating AI as a collaborative peer with intent and start managing it as a powerful, deterministic tool. This shift elevates the value of technical literacy and critical evaluation skills over vague 'digital fluency'. Focus on understanding how models actually function to avoid costly errors stemming from misplaced trust. Professionals in operations, strategy, and content creation should prioritise learning prompt engineering and system architecture basics. Your next step is to audit your current AI usage. Replace emotional language with technical precision in your workflows. Develop robust verification protocols to ensure output accuracy. By mastering the mechanics behind the interface, you position yourself as a pragmatic leader who leverages technology for efficiency, not one who is misled by its human-like veneer. This clarity is your competitive advantage.

For this story, the fields that convert it into pay are Artificial Intelligence, AI Strategy, Data Science and Digital Marketing — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

Enrol in these
to benefit.

These programmes position you for exactly this shift — online, self-paced, and finishing with a verifiable certificate you can share the day you pass.