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Volkswagen’s Cost-Cutting Plan Faces Scrutiny As Traditional Methods Clash with Bold Promises

Volkswagen’s recent cost-cutting agreement, hailed as crucial for its survival amidst increasing competition and declining demand, leans heavily on the company’s longstanding tradition of collaboration between management and workers. However, this approach has sparked concerns among investors about the company’s ability to meet its ambitious targets, including reducing capacity and cutting 35,000 jobs.

The deal, which was reached just before Christmas, aims to tackle the company’s challenges, with workers and unions now engaging in discussions at factories across Germany to clarify the details. According to company sources, each plant will be given its cost-reduction target, with mixed teams of managers and labor representatives working together to devise strategies that enhance productivity. These targets will be reviewed quarterly, and if any interim milestones are missed, new negotiations may be necessary.

This method aligns with Volkswagen’s history of compromise and cooperation, but it also raises questions about its effectiveness in driving the required changes. The model avoids a top-down restructuring approach that might have been more decisive but could have led to unrest or strikes.

Investors have been left underwhelmed by the deal, with Volkswagen shares trading below the levels seen in October, before a sharp decline in quarterly profits. Analysts like Patrick Hummel from UBS believe the market needs to see concrete plans for long-term profitability, with a focus on how the cost-cutting measures will impact the company’s bottom line in the next two years.

Capacity Reductions And Plant Closures Remain Uncertain

As the deal progresses, questions persist about how Volkswagen will reduce its workforce and production capacity. Unions have been informed that the company is considering closing three to four plants, though Volkswagen has declined to confirm specific closures. The final agreement does include the closure of two factories: one in Dresden by 2025, and another in Osnabrueck by 2027. However, both sites may be repurposed for alternative uses, with potential new investors involved.

The company’s Zwickau plant, which produces electric vehicles, will lose one production line but will receive investment in a new recycling facility, which is set to begin operations in 2027. These new investments, however, are contingent on meeting cost-cutting goals, as Volkswagen’s finance chief Arno Antlitz made clear in recent comments to investors.

The company has also identified capacity reductions at its Wolfsburg headquarters, where two production lines will be cut. While Volkswagen has stated that the deal will result in savings of €15 billion over the “medium term,” investors remain uncertain about how this approach compares to the more direct route of plant closures.

Job Cuts Remain A Major Challenge

Another pressing concern is how Volkswagen will achieve its target of shedding 35,000 jobs. While the company previously promised to cut 30,000 jobs in 2016, its workforce size has remained largely stable due to new hires in other areas. The current plan to meet the target relies on not replacing retiring employees and offering voluntary early or partial retirement options. A clause in the deal guarantees jobs until 2030, a concession won by unions after Volkswagen canceled a previous job guarantee agreement in September.

Despite the uncertainties surrounding the cost-cutting plan, some analysts believe that Volkswagen’s CEO, Oliver Blume, has done well in navigating the complexities of dealing with unions and local politicians, who have significant influence over the company’s decisions. Moritz Kronenberger, portfolio manager at Union Investment, notes that although the deal may appear underwhelming, it represents deeper cuts than many had anticipated.

Blume’s leadership is under scrutiny. As Kronenberger points out, “Blume remains the right CEO, but the company’s cost structure must look very different in two years. Volkswagen needs to prove it’s ready for the future and can continue to produce attractive products.” For now, Blume’s ambitious promises have left him both vulnerable and accountable as Volkswagen seeks to secure its future in a rapidly changing industry.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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