GM CEO Mary Barra says company is working toward a self-driving system that would not require drivers to keep eyes on the road by 2028

General Motors is laying out a timeline for a more hands-off driving experience, with CEO Mary Barra saying the automaker is working on a self-driving system that would not require drivers to keep their eyes on the road. The comments, reported by Yahoo Finance, place GM’s development effort on a track aimed at 2028, underscoring how intensely the industry is competing to translate advanced driver-assistance into higher levels of automated driving.

Barra’s framing is notable because many current driver-assistance systems are built around “driver monitoring,” where the vehicle can assist with steering, speed, and lane keeping but expects the human to remain attentive, typically with cameras that watch for eyes-on-road behavior. In that model, the driver is still the ultimate safety fallback. GM’s goal as described is to move away from that explicit “eyes-on-road” expectation.

For readers outside the automaker battle, it helps to understand what that implies technologically. A system that does not depend on the driver constantly looking forward would generally need stronger onboard perception and decision-making, meaning it must better interpret road users, signage, lane boundaries, construction zones, and unusual conditions. It would also typically require a different safety case, since the system cannot rely on a human’s immediate visual attention as the primary safeguard in the same way.

The timeline also highlights how automakers are trying to catch up to a broader consumer awareness that has been shaped in recent years by Tesla’s ongoing work on automated driving features. Tesla’s mainstream offering is widely known for advanced driver-assistance capabilities, and the company has marketed an eventual path toward more automated driving. GM’s comments, as reported, position its effort as a rival approach aimed at similar outcomes, but with a specific emphasis on removing the eyes-on-road requirement.

The 2028 target matters for investors and competitors because autonomy development is not just a software engineering challenge. Companies must also align regulatory approvals, vehicle hardware readiness, and the operational reality of how systems behave in edge cases. Even when a company can demonstrate capability under controlled conditions, scaling to broad public use typically requires careful validation, ongoing monitoring, and clear rules about when the system is available.

Industry context adds pressure. As vehicles add more cameras, radar, and computing capacity, customers increasingly expect that “assistance” will feel like automation. That expectation raises the stakes for any company that falls behind in the cadence of releases, user experience design, or safety performance. GM’s stated objective is therefore as much about perception and product direction as it is about pure technical progress.

A key caveat is that the report did not detail GM’s specific technical method, hardware configuration, regulatory strategy, or what level of automation the company expects to deliver to consumers by 2028. It also does not clarify whether GM intends to offer the capability only in certain regions, certain models, or only under defined driver responsibilities. Without those specifics, it is difficult to assess how close the system is to full deployment beyond the high-level goal described by Barra.

What to watch next is whether GM provides additional detail on the system’s scope and how it will be tested and validated. Investors and consumers will likely look for clearer explanations of availability, limitations, and safety protections, along with any concrete milestones that connect the 2028 target to measurable product steps. For Tesla, GM’s comments could also be interpreted as a sign that the competitive push to reduce driver supervision requirements is becoming more explicit across the auto sector.