The article discusses how changes in technology can affect productivity growth. When technical change is biased, it impacts input growth, making it harder to interpret productivity growth. The researchers used Solow's model to break down output per worker into separate sources. They found that technical bias directly boosts labor productivity growth beyond what Solow's model accounts for, sometimes significantly increasing rates of total technical change.