The Economist · 16 Sep, 18:47 · Technology briefing

Artificial intelligence now beats some of the best human forecasters

Recent analysis indicates that artificial intelligence models are now outperforming top human forecasters in certain predictive tasks.

30%premium for professionals who pair domain skills with tech fluency
3.5xfaster skill turnover — staying current is the moat
74%of employers fund staff who self-start upskilling
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.

Recent analysis indicates that artificial intelligence models are now outperforming top human forecasters in certain predictive tasks. This development highlights the growing capability of machine learning algorithms to process vast datasets and identify patterns beyond human cognitive limits. For professionals, this signals a shift in how predictive analytics are utilised across industries. It suggests that reliance on traditional expert intuition may be insufficient for complex forecasting. Instead, organisations will increasingly integrate AI-driven insights into decision-making processes. Understanding this technological advancement is crucial for maintaining competitive advantage in data-heavy sectors.

Employer demand for Medical Physics skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.3x20211.9x20222.8x20234x20245.7x20258.2x202611x
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.

This development demands that you adapt your professional strategy immediately. Pure intuition is no longer enough; you must become proficient in interpreting AI-generated forecasts. Your value now lies in contextualising these predictions and making strategic decisions based on them. Focus on developing critical thinking and data literacy to bridge the gap between algorithmic output and business action. Professionals in finance, supply chain, and marketing should prioritise learning AI strategy and data science. Do not fear replacement; instead, position yourself as the expert who leverages AI for superior outcomes. Invest in courses that teach you to manage AI tools effectively, ensuring you remain indispensable in an automated landscape.

For this story, the fields that convert it into pay are Medical Physics, Python Data Visualisation Libraries Mastery, API Development and Staff Recruitment And Retention — 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
Medical Physics+38%Python Data Visualisat…+37%API Development+25%Staff Recruitment And…+26%

This briefing is based on reporting by The Economist on 16 Sep, 18:47. Read the original coverage →

Read the news. Then outrun it.

Every OnlineUni programme is online, self-paced and from £79 — so a headline today can be your credential this month.

While the world is changing, make sure your skills are changing with it.

Stay ahead with short, focused online courses across 40+ professional fields.

Chat with Admissions

OnlineUni Admissions

Tell us where you want your career to go, and we'll find you the right programme.

Chat with AdmissionsCourse guidance, fees, and enrolment help from our team.
Available 24/7 Our admissions consultants are always online to help you choose.
OnlineUni · a TilGlobal brand

Tell us about yourself to get started

OnlineUni · a TilGlobal brand