The Formula 1 season has been a challenging one for teams and drivers alike, with the introduction of new AI-integrated power units and a host of other changes. The complex interplay between these factors has led to a situation where even the most experienced engineers and drivers struggle to understand where performance is coming from and where it's being lost.
One of the main issues is the sensitivity of the power units to external inputs, such as wind, track/tyre grip, and driving input. This sensitivity means that even small changes in these factors can have a big impact on the performance of the car. For example, an increased headwind on a straight between sessions or between qualifying runs can effectively increase the length of that straight, which can impact the distance-based deployment equation.
The drivers are then having to adjust their inputs dynamically to compensate, but the unpredictable nature of the AI power units makes it difficult for them to make those adjustments correctly. This is further complicated by the fact that the power units are constantly learning and adapting, making it even harder for drivers to understand how they are operating.
One of the key challenges is the lack of sophisticated simulation models needed to pre-programme the power units in the best way. This means that teams like McLaren have been unable to fully understand how to exploit the 2026 engines, as they have lacked the tools to test and optimize different parameters. As McLaren team boss Andrea Stella explains, "Some of these tools were not available, just because of a timeline. So we have worked together to make sure that they have become available as soon as possible, and as a matter of fact, now they are starting to be available, and we are definitely taking great benefit."
The introduction of new tyres and wheels, as well as lower downforce cars, has also added to the complexity of the situation. This has led to a situation where the drivers have much less front grip available, and the past way of countering this by braking hard and late is no longer readily available. Braking distances are longer, and drivers are often shifting down additional gears to help recycle energy into the battery and keep the engine RPM at the correct level to keep the turbo spinning to avoid lag.
This has led to a situation where corner speed is still important, but it's no longer really about bravery in the fast corners and dexterity and ability to handle rear instability in the slower ones. Instead, it seems more like walking a tightrope, using all the tools available as a driver to try to keep the engine revs at the right level to keep the turbo spinning at the right level, trying to prevent the MGU-K from automatically compensating for any imprecision.
In conclusion, the introduction of new AI-integrated power units and a host of other changes has led to a situation where even the most experienced engineers and drivers struggle to understand where performance is coming from and where it's being lost. The sensitivity of the power units to external inputs, the lack of sophisticated simulation models, and the introduction of new tyres and wheels have all contributed to this situation. It remains to be seen how teams and drivers will adapt to these changes in the coming seasons.
