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Tesla workers ordered to return to work by Musk or face the sack

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Tesla boss Elon Musk has ordered staff to return to the office full-time, threatening them with the sack.

Elon Musk ordered staff to return to the office full time, saying that working remotely is no longer acceptable.

His new policy was leaked to social media.

When asked about the policy, Musk said: “People who are unwilling to abide by the new rules can “pretend to work somewhere else”.

In the email to staff, Musk says:

“Everyone at Tesla is required to spend a minimum of 40 hours in the office per week.”

“If you don’t show up, we will assume you have resigned.”

ELON MUSK

The emails say staff should report to work at one of the company’s main offices, “not a remote branch office unrelated to the job duties”. 

Mr Musk says working in the office full-time was what the company asks of its factory employees.

“There are of course companies that don’t require this, but when was the last time they shipped a great new product? It’s been a while,” he said in an email, one of two that was leaked and shared on social media.

“Tesla has and will create and actually manufacture the most exciting and meaningful products of any company on Earth. This will not happen by phoning it in.”

It’s been a huge issue for many companies across multiple industries – whether or not to allow remote work practices to continue post-pandemic.

‘I lived in the factory’

“The more senior you are, the more visible must be your presence,” he wrote in one of the emails on the remote work policy.

“That is why I lived in the factory so much – so that those on the line could see me working alongside them. If I had not done that, Tesla would long ago have gone bankrupt.”

Ahron Young is an award winning journalist who has covered major news events around the world. Ahron is the Managing Editor and Founder of TICKER NEWS.

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Australia’s workforce revolution sets the stage for a four-day work week

Australia’s AI Workforce Revolution: Automation Paves the Way for a Four-Day Work Week and New Job Redesigns.

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Australia’s AI workforce revolution: automation paves the way for a four-day work week.

In Short

UiPath’s report highlights the rapid shift towards “agentic automation,” where AI makes autonomous decisions, encouraging businesses to reassess roles and harness automation for productivity. This evolution may enable a four-day work week and necessitates the retraining of staff while ensuring regulations are in place for trust and compliance with AI integration.

The trend towards work reallocation is rapidly advancing, with UiPath’s new report identifying significant shifts in AI and automation.

Key insights from the report suggest a move towards “agentic automation,” where AI begins to make autonomous decisions. Yelena GalstianHead of Solutions and Customer Advisory at UiPath shares her key insights.

Organisations are encouraged to reassess existing roles and identify areas where automation can enhance productivity.

A critical aspect will be the orchestration of collaboration between human employees, AI agents, and software robots to ensure effective teamwork.

Looking ahead, the motto for businesses is to “redesign and reassign” processes while considering how AI can handle repetitive tasks, allowing human employees to focus on more complex responsibilities.

As organisations embrace these changes, we could see a potential transition to a four-day work week, made feasible through increased efficiency and productivity from AI.

For further insights into the research and methodologies for implementing AI in business, interested parties can connect with the UiPath team through their website.

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Data centres pushed to breaking point as AI demands surge

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The hidden cost of AI’s unstoppable growth

The rise of AI is pushing data centres to their limits, with increasing demands for high-resolution telemetry and greater power capacity. As AI applications grow more complex, managing these challenges efficiently has become a critical focus for industry leaders. The quest for smarter solutions is reshaping the infrastructure landscape. Luke Dalske, COO of Radix IoT, joins the program to discuss.

 

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AI’s role in transforming supply chains: Efficiency, forecasting, optimisation

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AI is transforming supply chains: enhancing efficiency, demand forecasting, delivery optimisation through advanced technologies.

Supply chain issues continue to challenge industries worldwide.

AI is increasingly seen as a solution to enhance efficiency and resilience within this sector.

To understand its impact, Jyot Singh, CEO of RTS Labs, joined to share his insights.

By utilising historical data, algorithms can predict future demand, facilitating better inventory management.

Additionally, advances in generative AI further enhance these forecasts by incorporating sentiment analysis and other factors.

AI also optimises delivery routes by analysing real-time data on traffic and weather conditions, thus reducing costs.

Companies, such as UPS, utilise technologies to streamline last-mile delivery, which is the most expensive portion of the supply chain.

AI’s role extends to improving vendor management and procurement efficiency through smart contracts and data-driven decision-making.

This helps businesses assess vendor reliability and make informed choices about allocating resources effectively.

Moreover, the digital twin technology allows businesses to simulate their supply chains virtually, testing various scenarios to identify potential disruptions.

American technological research and consulting firm Gartner predicts that by 2026, 60% of global supply chains will adopt digital twin applications, enhancing their ability to manage complex logistics.

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