From pandemic to chip shortage – will the automotive industry recover?

9

October

2021

5/5 (2)

Hopes of recovering lost sales and growth opportunities after the pandemic have not been so optimistic for the automotive industry. Among the many devastating effects of the pandemic, the semiconductor chip shortage is one which has affected a wide range of industries significantly. This shortage was a combination of a lack of demand and production during 2020, and a resulting bottleneck in the chip manufacturing process. This post will zoom into the effects of the shortage on the automotive industry, which has been suffering profoundly.

Semiconductor chip manufacturing

Semiconductor chips are made of silicon and are used to power electric devices. They are virtually everywhere, and in most electric devices you use. The production of semiconductor chips and building the fabs for producing them is extremely expensive and time consuming. Suppliers of chips need to earn a minimum of $3 billion in profits for each fab to be able to generate money, and this has been difficult following the pandemic and its economic consequences. With regards to time constraints, chip manufacturing takes over 3 months. As such, combining the complexity, time, and financial costs of producing semiconductor chips, the shortage has been extremely difficult to face and will take years to overcome.

Chip shortage in the automotive industry

In terms of the automotive industry, semiconductor chips are essential components in the car manufacturing process. These are vital for car features like emergency braking systems.

The chip shortage’s expected costs in 2021 for the automotive industry are $210 billion because of slowed production, much longer lead times and the postponement of new product launches (the forecasted effects of the shortage in 2021 as a whole almost doubled from May to today according to CNBC). These devastating effects are only expected to subside by 2023, when there is expected to be an overcapacity of semiconductor chips.

How has this affected demand and supply?

On the demand side, customers are more willing to wait until the shortage subsides to purchase vehicles. Further, they are more likely to switch between car manufacturers depending on who can satisfy their demand first. This has strongly influenced the role brand loyalty plays in the automotive industry and has also led to individuals moving towards the used car market. Following the pandemic, demand has also risen naturally, and this has been met with reduced supply in the automotive industry.

On the supply side, car manufacturers are starting to look at leaner and more efficient production processes. Make-to-order models are becoming more popular as car manufacturers navigate the chip shortage. This could be an interesting development for the future of car manufacturing post-shortage. Further, car prices are seeing an increase.

The shortage of semiconductor chips has highlighted how the pandemic has influenced the economy in profound ways. Further, it indicates the vulnerable balance between supply and demand forces and it will be interesting to see how and if car manufacturers will overcome the effects of the shortage and make it to 2023.   

References:

https://www.cnbc.com/2021/09/23/chip-shhttps://open.spotify.com/track/1jy7SkRcmBCTcv4ZMtwz29ortage-expected-to-cost-auto-industry-210-billion-in-2021.html

https://www.cnbc.com/2021/09/23/chip-shortage-expected-to-cost-auto-industry-210-billion-in-2021.html

https://www.bloomberg.com/graphics/2021-chip-production-why-hard-to-make-semiconductors/

https://driving.ca/auto-news/industry/report-half-of-new-car-buyers-planning-to-wait-out-semiconductor-chip-shortage

https://eu.freep.com/story/money/cars/2021/06/15/car-chip-shortage-2021/7688773002/

Please rate this

The Tesla Bot – why humanoid robots don’t make sense.

20

September

2021

5/5 (1)

Elon Musk’s presentation on the Tesla Bot concept at the Tesla AI day sparked many discussions regarding humanoid robots – specifically their feasibility and overall practicality (or perhaps lack thereof). For over 10 years, companies such as Boston Dynamics have been attempting to engineer robots that navigate their environments in a seamless fashion. The technological progression of Spot and Atlas (two of the company’s robots) has not only shown the challenges in building a robot itself, but the difficulties in making this robot perform tasks well.

The concept of the Tesla Bot is a humanoid robot that would replace the need to perform tasks that are “unsafe, repetitive, or boring” by taking advantage of AI and neural networks. There are several questions that come to mind as Elon Musk presents the concept of the Tesla Bot. What is an “unsafe” or “boring” task? How will Tesla engineer a robot that is suited to perform this ambiguous range of tasks without errors and more efficiently than a human? And how realistic are the expectations set for this robot considering the state of the robotics industry? Currently, it is almost impossible for a robot to creatively problem solve when faced with a scenario that deviates from the one it is ­familiar with. This makes t­­he introduction of the Tesla Bot, especially in such a short amount of time and with little prior experience, an ambitious and fascinating move.

Aside from the overzealous aspect of creating such a robot, there are general impracticalities of having a robot in a humanoid form. To perfectly automate a task, it is much more beneficial to engineer a robot that is built to be specialised in performing this one task. The same could also be said when trying to automate a task with the goal of completing it in the safest way possible. In an ideal world, it would be much more efficient and logical to have every task automated in its own, most effective, way.

When the laundry machine was introduced, the goal was to build a machine that enabled individuals to conveniently wash and dry their clothes. The solution was not a humanoid form that mimicked the human way of washing clothes by hand. But rather, it was a laundry machine that looked far from human, but that was efficiently built around its function and washed clothes in a unique and much more effective way. The goal should not be to build a human robot that completes a task using some form of a machine. It should be to make the machine itself the robot. The Tesla Bot, although futuristic and exciting as an innovation, may sacrifice this aspect of specialization, as it will be bound by the constraints of its humanoid form.

Despite the above concerns, what the future holds in terms of the Tesla Bot is extremely interesting. A company the size of Tesla tapping into robotics could help accelerate and bring closer new breakthroughs in the industry. I am personally excited to see what the next year holds for Tesla and robotics. 

– Aurora  

References:

https://www.tesla.com/AIe

https://hackaday.io/page/1502-humanoid-robots-are-impractical

https://www.popularmechanics.com/science/a37416251/elon-musk-tesla-robot/

https://www.wired.com/story/tesla-bot-takes-tech-demos-to-their-logical-conclusion/

Please rate this