Driver complaints about software intervention in the 2026 Formula 1 cars have been building since before the season even began this year.
The frustration intensifies particularly at so-called energy-starved circuits, where corner-heavy layouts prevent the new-generation cars from adequately recharging their batteries throughout a lap.
A regulatory tweak introduced ahead of the Miami Grand Prix reduced some of the widely criticised yo-yo racing caused by drivers operating with different states of battery charge.
More recently, speed differences triggered by power unit self-learning algorithms reacting to small variations in track conditions and driving style have caused significant frustration throughout the paddock.
At Spa, Oscar Piastri described the current situation as a “pretty crap way of going racing,” capturing the mood of many drivers on the grid.
However, McLaren’s technical director for engineering Neil Houldey has pushed back on the idea that software is eroding the importance of raw driver ability in the current formula.
“Actually the drivers who understand what they need to do, the ones who are switched on, the ones who are the best F1 drivers in the world are the ones who are still going to be the fastest,” Houldey said during a round-table interview conducted over the summer break.
Houldey acknowledged that the Spa weekend did see Piastri receive a slightly different deployment schedule, costing him a couple of tenths, but argued the sport’s best talents still rise to the top overall.
“My answer really would be that it all evens out in the end,” he said, noting that individual races or qualifying sessions may disadvantage one driver, but the season as a whole rewards quality.
The fundamental challenge of the 2026 ruleset stems from the near 50:50 split between electrical deployment and internal combustion power, combined with the limited energy storage capacity of the battery.
Because the battery must be recharged continuously throughout the lap, software intervention is necessary for both safety and performance, tapering electrical deployment to prevent sudden loss of power mid-corner.
The machine-learning algorithms also serve a performance function, helping engineers establish what they consider the optimal lap through precise combinations of energy harvesting and deployment.
The Miami rule amendments gave the FIA greater leeway to reduce energy harvesting limits, effectively trading peak speed for a more sustained and consistent top-end performance across a lap.
Crucially, all of this places a premium on driver consistency, particularly with throttle inputs, since attacking a corner too aggressively and scrubbing off excess speed costs electrical power that cannot be recovered later.
Houldey described the new era as a different order of risk and reward, where aggression carries fewer returns than a disciplined and calculated approach to each lap.
“It’s definitely more of a thinking game,” he said, adding that drivers must now get not only their cornering speeds right but also the precise way they deploy energy and manage throttle position.
The sporting regulations do offer ammunition to those calling for the machine-learning tools to be removed entirely, with Section B1.9.1 stating that “the driver must drive the car alone and unaided.”
Despite those calls, no immediate regulatory change appears forthcoming, meaning drivers must continue to adapt to a formula that demands as much intellectual discipline as pure mechanical speed.
Houldey concluded that as always, the best combination of car, driver, and engineering team will ultimately produce the strongest results across a full season.