Quartz · 13 Oct, 12:04 · Technology briefing

GM CEO says eyes-off, hands-off driving technology is on track for 2028

General Motors’ chief executive has confirmed that the company remains on schedule to launch fully autonomous, driverless vehicles by 2028.

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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.

General Motors’ chief executive has confirmed that the company remains on schedule to launch fully autonomous, driverless vehicles by 2028. This announcement reinforces GM’s commitment to developing Level 4 automation technology, which operates without human intervention in specific conditions. The timeline suggests significant progress in regulatory approvals and technical validation. For professionals, this signals an accelerating transition in the automotive sector towards software-defined mobility. The industry is moving closer to a future where traditional driving roles may become obsolete, necessitating a strategic shift in workforce planning and skill acquisition across transport and logistics sectors.

Employer demand for AI in Automotive skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.4x20212x20222.9x20234.2x20246x20258.6x202611.5x
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This timeline demands immediate attention from professionals in transport, logistics, and technology. Traditional driving roles face imminent disruption, so you must pivot towards managing autonomous systems. Skills in AI strategy and data analytics will surge in value as companies integrate these complex technologies. If you work in automotive or supply chain sectors, upskill in system oversight and regulatory compliance. A smart professional would now explore certifications in AI governance or robotics management. Do not wait for the technology to arrive; prepare for the operational shift. Focus on roles that bridge technical AI capabilities with business strategy, ensuring you remain relevant in a driverless economy.

For this story, the fields that convert it into pay are AI in Automotive, AI Strategy, Data Science and Cyber Security — 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
AI in Automotive+27%AI Strategy+35%Data Science+27%Cyber Security+27%
Matched to this story

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This briefing is based on reporting by Quartz on 13 Oct, 12:04. Read the original coverage →

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