The automotive industry is facing major challenges. Software (both for UI/UX and autonomous driving), e-mobility and MaaS are shifting the focus of value creation and changing potential business models. But challenges always come with opportunities. It’s likely that due to the expected macroeconomics the number of sold cars per year continues to increase and at the same time the mobility landscape will change. Subscription models for individual mobility combined with self-driving electric fleets might bring specifically for urban areas significant advantages for users, companies, cities and the environment (e.g. Medium Blog Post).
Additionally, machine and deep learning will continue to change many industries. Also here BMW is on the right track with applications in factories (e.g. Nvidia & BMW, Open-Source Tools, Process Optimization) and guidelines. …
Artificial power paved the way for the industrial revolution in 1760s. Subsequently only in the last 200 years the global population grew from 1 to more than 7,5 billion humans. What we saw was not only a rapid population growth but also increased specialization, automation and speed in every industry. Many “blue color” jobs can more and more be completed by a smart and connected machines. …
05/2020: Audi quits bid to give A8 Level 3 autonomy 
10/2020: Rückzieher bei Technik-Hoffungsträger: BMW iNext fährt doch nicht autonom 
10/2020: Tesla to release ‘Full Self-Driving Beta’ to some customers next week 
10/2020: Waymo Restarts Robotaxi Service Without Human Safety Drivers 
Latest Update 2020–07–08
With the initial quality score of 250 PP100 Tesla is unofficially ranked last [1, 5]. “Unlike other manufacturers, Tesla doesn’t grant us permission to survey its owners in 15 states where it is required,” said Doug Betts, president of the automotive division at J.D. Power. “However, we were able to collect a large enough sample of surveys from owners in the other 35 states and, from that base, we calculated Tesla’s score.”
In North America BMW sees a minus in sales of almost -40% in the second quarter, Audi -35%, Nissan -50% and Ford -33% [3, 4]. …
Google conducted a study for over 2 years and they conducted 200+ interviews with employees. They looked at more than 250 attributes of 180+ active Google teams.
One of the key findings was that it mattered more how the team interacts than who was in the team. At first, this seemed counter-intuitive since the expectation was that rock star engineers would automatically generate awesome products. But it turns out that the following 5 pillars were more important for the team’s success.
Among the 5 key findings of the study, the psychological safety aspect was most important.
In 2050 around 70% of the world’s population will live in cities according to the UN . How will urban mobility look like in the next decades? Which mobility products and business models will be successful?
Overall the future of transportation holds the promise to become more accessible for everyone, safer and environmentally friendly. …
The innovator’s dilemma by Clayton Christensen was an eye-opener for me to understand why it is so hard for industry leaders to keep up with disruptive technical change. I think it also highlights the power of his concepts, that already around 20 years ago he discussed in a case study (chapter 10) why e-mobility could become a disruptive technical change for the automotive industry.
7 habits of highly effective people by Stephen R. Covey was inspiring to read. I like the character-based viewpoint in contrast to other personal / business books.