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The Future of Automotive Innovation

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The Future of Automotive Innovation

The Future of Automotive Innovation

Since the invention of the internal combustion engine, there have been many incredible innovations made in the auto industry.

Manufacturers created new body styles and market segments, automatic transmissions and power steering were introduced, and safety features such as airbags made passengers much safer. Computers were even added into cars to optimize performance and provide GPS for navigation purposes.

In short, vehicles got cheaper, lighter, stronger, safer, cleaner, faster, and more luxurious.

But despite this, there is a strong case that the biggest innovations in the auto industry are yet to come.

A New Era of Automotive Innovation

Today’s infographic comes to us from Evolve ETFs and it explains the many forces shaping the future of automotive innovation.

Unlike past periods of innovation in the industry, the coming years will be particularly interesting because many of the changes will come from outside of the traditional workings of a car.
Automation and the shared economy will change how the entire commuting model works. Meanwhile, an increased penetration of EVs will have an impact well beyond the engine, as charging infrastructure needs to be added, battery supply chains need to be created, and as legacy auto parts become obsolete.

While these transitional changes take place, the auto market is expected to jump from $3.5 trillion (2015) to $6.7 trillion (2030) in total size – and a whopping 30% of the revenue will come from new services that don’t even exist today.

The ACES Framework

The future of automotive innovation will hinge on four major technologies: automation, connectivity, electric power, and the shared economy.

This can be simplified into the acronym “ACES”:

A: Automation
Perhaps the most obvious and fundamental change facing the auto sector is the rise of autonomous cars.
Not only does this technology have implications on major manufacturers and suppliers to the auto sector, but giving the cars the ability to self-drive will have an impact that extends well beyond it, as well.

The passenger economy, which will come from relieving people from the driver’s seat, is expected to be a $7 trillion industry alone by 2050.

C: Connected
New cars are already taking advantage of increased connectivity today, and it will soon be the norm even in lower-end vehicles. This added networking unlocks new features such as infotainment, enhanced safety features, and diagnostics and analytical tools.

E: Electric
In just seven years since its IPO, Tesla was able to leapfrog Ford in market valuation. Yet, this is still the very beginning of the EV revolution.

Many countries have announced regulations to curb gas or diesel fueled vehicles, and EVs are expected to hit 41 million global sales by 2040.

S: Shared
The shared economy is the result of technological factors, but also societal ones. However, when combined with automation, sharing presents a fundamental shift to how commuting and transportation will work in the future.

With autonomous and shared cars, current commuter inconveniences such as traffic and parking will be reduced considerably – and it’ll make catching a ride to your destination far cheaper, as well.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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