Stellantis buys car-sharing business as BMW, Mercedes take different route

Formed last year through the merger of Fiat Chrysler and Peugeot maker PSA, Stellantis wants to become a global leader in car-sharing.
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Updated 03 May 2022
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Stellantis buys car-sharing business as BMW, Mercedes take different route

  • Italian daily la Repubblica said it was worth around 100 million euros ($105 million)

Stellantis has agreed to buy the Share Now car sharing business from BMW and Mercedes-Benz as the two German groups focus more on the software part of their mobility alliance.

Formed last year through the merger of Fiat Chrysler and Peugeot maker PSA, Stellantis wants to become a global leader in car-sharing, using this acquisition announced on Tuesday to expand its existing business in the area.

The deal reflects different approaches by carmakers who are trying to tap new sources of revenues beyond selling vehicles, most notably in the developing area of mobility services.

“We think this reinforces our belief that premium OEMs (manufacturers) like BMW and Mercedes will focus on private car ownership and less on fleet services,” Royal Bank of Canada analyst Tom Narayan said.

“Conversely, it makes sense that volume players like Stellantis are pursuing these alternative revenue streams.”

No financial details were provided for the transaction.

Italian daily la Repubblica said it was worth around 100 million euros ($105 million).

By selling the division, BMW and Mercedes-Benz will focus on the two remaining parts of their mobility cooperation: Free Now, an app that enables the booking of cars, taxis, e-scooters and e-bikes, and the charging infrastructure booking app Charge Now.

Stellantis Accelerates

Brigitte Courtehoux, who heads Stellantis’ mobility division Free2move, said the deal was part of the group’s plans to grow net revenues of that business to 700 million euros in 2025 and to 2.8 billion euros in 2030.

“We will really accelerate in terms of revenues,” she said.

Stellantis said the deal would allow Free2move to add 14 major European cities and 10,000 vehicles to its current 2,500-strong car sharing fleet, gaining over 3.4 million customers.

She added the Free2Move fleet would not turn 100 percent Stellantis but said “step by step we’ll have more and more Stellantis cars in it.”

Milan-listed shares in Stellantis were up 2.3 percent by 0940 GMT, outperforming a 1 percent rise at Italy’s blue chip index.

BMW shares were up 1.8 percent, Mercedes ones are down 0.4 percent.

Share Now retreated from the North American market in 2019 in response to high maintenance costs and what the companies then described as the “volatile state of the global mobility landscape.”

BMW CEO Oliver Zipse in late 2020 fueled speculation of a reorganization of the mobility services alliance with Mercedes-Benz when he flagged the option of bringing in new partners or a possible partial sale.


Artificial intelligence is transitioning into a ‘digital employee’

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Artificial intelligence is transitioning into a ‘digital employee’

  • AI can be an effective tool, business leaders tell Arab News
  • Not about jobs, but ‘convergence of human capital and AI’

RIYADH:  Artificial intelligence is fundamentally reshaping the world of work, transitioning from a supporting tool to an active partner that is radically changing the nature of professions and productivity standards.

Amidst the current global transformations, an active regional digital environment is emerging.

This is being led by Saudi Arabia through Vision 2030 and massive investments in smart infrastructure, providing a living model for studying the implications of this partnership between humans and machines on the future of work in the region.

Arab News spoke to various business leaders about the emerging shape of the sector.

Salem Bagami, co-founder of Metatalent, said the ideal relationship between humans and machines at work should be complementary and collaborative.

Humans would bring creativity, emotional intelligence, and complex decision-making, while machines excel at processing big data and performing repetitive, precise tasks.

He believes that this type of balanced partnership would lead to unprecedented productivity and innovation.

While machines excel at processing big data and performing repetitive, precise tasks, humans would bring creativity, emotional intelligence, and complex decision-making. (Supplied)

Mohammad Al-Jallad, chief technologist and director at HPE, said AI has gone beyond being merely an executive tool to becoming a “digital employee” entrusted with automating routine tasks and providing insights based on data analysis.

He believes that the real opportunity lies not in the debate over job replacement, but in “the convergence of human capital and artificial intelligence.”

AI should augment human teams by taking on menial and routine tasks, enabling employees to focus on critical thinking, creativity, and ethical reasoning, significantly improving operational results.

Bagami also emphasized the complementary nature of this partnership. “The ideal relationship between humans and machines at work is one of collaboration, where each complements the others.”

He explained that humans bring creativity, emotional intelligence, and nuanced decision-making, while machines excel at processing big data and performing repetitive tasks efficiently, leading to increased productivity and innovation.

Opinion

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Salem Alanazi, chairman of Jathwa Technology Co., notes a significant trend among Saudi Arabia companies toward using AI applications to provide faster services to customers at lower costs.

The emergence of the “virtual employee” available around the clock has eliminated the need for some traditional jobs in specific sectors.

Alanazi warns that some companies’ reluctance to adopt AI may expose them to real risks. “All those who hesitated to benefit from AI applications have a lack of understanding of these technologies.”

He said those who adopt these technologies will be able to offer lower-cost, higher-quality services, which will affect the market position of companies that lag behind.

Ali Aljumhour, CEO of VALUE Consultancy, said that the transition of AI into a partner has reshaped the list of most in-demand skills in the job market.

Skills such as “prompt engineering,” “human-machine integration,” and “digital ethics” are becoming increasingly important.

He added that AI has become an instantly available “technical knowledge base,” shifting the criteria for professional distinction toward those capable of smart interaction with these technologies.

In terms of ethics, transparency, and trust, Alanazi points to the complexities of global AI governance, where legislation overlaps and evolves rapidly to keep pace with potential risks, particularly in the areas of cybersecurity and privacy.

Ali Aljumhour, CEO of VALUE Consultancy. (Supplied)

Al-Jallad emphasizes this crucial dimension, noting that providing responsible and reliable AI solutions that meet the highest standards of transparency is a key priority, especially in regulated sectors.

Bagami believes there should be basic standards for the ethical use of Al, emphasizing the need for transparency, accountability, and fairness, along with using diverse data sets to prevent bias and protect privacy.

He believes that building trust between humans and machines requires clear explanations of how systems work, giving users the opportunity to provide feedback and conducting periodic performance reviews.

On performance evaluation, Aljumhour said: “I expect radical changes in standards, shifting from measuring individual effort to evaluating the quality of the partnership between humans and machines.”

There should be a focus on the quality of inputs provided to intelligent systems, the accuracy of review and modification, and complex decision-making based on outputs.

He warns, however, of new risks that may arise, such as over-reliance on AI or difficulty in determining responsibility for mistakes.

In the employment sector, Aljumhour expects fundamental changes in standards.

There will be questions and tests focusing on measuring skills in dealing with AI, such as asking candidates about their experiences of collaborating with these systems, or testing their ability to formulate effective requests for complex tasks.

Aljumhour identifies significant human challenges in this transition, with “fear, loss of power, and exclusivity of knowledge” being the biggest concerns for experienced employees.