GM vs. Toyota: A Case Study in Embracing Change
The 1980s marked a pivotal moment for the automobile industry. General Motors (GM) faced a significant decline, while Toyota surged ahead with innovative strategies. Two MIT Sloan professors have analyzed this era, offering crucial insights into how companies should approach artificial intelligence (AI) adoption today.
Strategic Lessons for AI Implementation
GM’s downfall stemmed from resisting change and over-relying on legacy systems. In contrast, Toyota embraced new technology and lean manufacturing. The MIT experts emphasize that businesses must avoid GM’s mistakes by fostering a culture open to innovation. Adopting AI isn’t just about deploying new tools—it’s about rethinking processes, retraining teams, and being agile with strategy. Companies that mirror Toyota’s adaptive mindset are more likely to thrive in the age of AI.
