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Over 90% of Australian Businesses Embrace Agentic AI as Enterprise Automation Accelerates

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A new IDC InfoBrief, “Agentic Automation: Unlocking Seamless Orchestration for the Modern Enterprise”, sponsored by UiPath (NYSE: PATH), a global leader inagentic automation, has revealed 41% of Australian organisations are already using agentic AI and another 50% are planning to use it in the next six months.

This uptake is backed by strong investment: 47% of Australian organisations already have an established spending plan for agentic AI, and 78% are willing to pay a premium of up to 50% to realise its value across the business. C-suite leaders are also setting high expectations, with many targeting a threefold return on investment from agentic AI.

These findings reveal a clear shift from AI experimentation to enterprise-wide automation, as organisations look to scale innovation and remain competitive in a volatile and complex digital world.

Key adoption drivers

Productivity and efficiency gains are proving to be key adoption drivers, as more Australian organisations seek to automate manual processes and elevate the skills of employees. Agentic AI is emerging as a catalyst for enterprise transformation, with AI agents helping organisations rethink how work is designed, executed orchestrated across teams and systems.

Agentic AI is enabling better customer experiences, sharpening competitive advantage and strengthening organisational risk management. The IDC InfoBrief reinforces this, citing gains from agentic AI in productivity (69%), the ability to tackle more complex tasks (68%), and improved decision-making (58%). These tangible outcomes are fuelling uptake across retail, wholesale, financial services, and healthcare and life sciences sectors. 

Addressing emerging risks

As Australian organisations deepen their investment into agentic AI, concerns around security, privacy and unintended consequences are coming into sharper focus. Potential misuse by malicious actors (49%), unintended system-user interactions (48%), and data privacy breaches (44%) are key concerns for organisations.

From an implementation standpoint, the challenges are equally significant. Organisations cite data security (59%) as the biggest barrier to adoption, followed by integration with existing systems (50%) and conceptual ambiguity (44%) around how agentic AI should be applied.

As adoption accelerates, addressing these risks will be critical to building trust in agentic systems and ensuring alignment with long-term digital transformation goals.

Agentic automation lays the foundation for scalable AI

While security, integration and governance remain key challenges, Australian organisations are clearly preparing to scale. Many are now moving beyond early use cases to embed agentic AI into the fabric of their operations, with agentic automation becoming the foundation for this shift.

Agentic automation combines agentic AI with robotic process automation to deploy AI agents that go beyond structured, rules-based tasks – tackling complex, unstructured processes with real-time decision-making and adaptive intelligence. It allows organisations to operationalise agentic AI at scale, unlocking a new class of dynamic, context-aware workflows that traditional automation alone cannot address.

“We’re at a pivotal moment for AI in Australia,” said Peter Graves, Area Vice President, Australia and New Zealand at UiPath. “Agentic automation is the missing link between AI experimentation and enterprise transformation. It’s how organisations are starting to put AI agents to work – taking on complex tasks, making decisions in real time, and adapting as they go. It gives them the control and confidence to scale AI safely and effectively. With AI investment in Australia forecast to hit US$12.3 billion by 2028, the organisations laying the right foundations now will be the ones out in front.”

“Becoming an AI-fuelled business is no longer an option in today’s unpredictable climate. For many organisations, it’s fast becoming a strategic necessity. In Australia, organisations are embracing agentic AI and agentic automation at scale. Many leaders see its potential to drive unprecedented levels of productivity, innovation, and growth, which will be key to building resilience against future disruptions,” said Deepika Giri, Associate Vice President, AI Research IDC Asia/Pacific / Dr. Chris Marshall, Vice President of Data, Analytics, AI, Sustainability, and Industry Research at IDC.  

To download the IDC InfoBrief, titled “Agentic Automation: Unlocking Seamless Orchestration for the Modern Enterprise”, please visit: https://uipath.com/resources/automation-whitepapers/unlock-seamless-orchestration-with-agentic-automation.



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Elon Musk Just Said 80% of Tesla’s Value Will Come From This Artificial Intelligence (AI) Business, Which Jensen Huang Says Could Be Worth Trillions (Hint: It’s Not Robotaxi)

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Elon Musk thinks Tesla’s biggest business has nothing to do with its electric vehicles.

Elon Musk is no stranger to bold statements. His comments, often hyperbolic, consistently capture far more attention than the standard rhetoric from corporate executives. Over the past several years, Musk has articulated a vision to evolve Tesla (TSLA 7.21%) beyond its roots as an electric vehicle (EV) and energy-storage company into a broader technology platform centered on artificial intelligence (AI).

At the heart of this strategy is Tesla’s push toward fully autonomous driving. While robotaxis dominate the conversation around Tesla’s AI roadmap, there is another opportunity quietly flying under the radar that could carry even greater implications: Optimus, the company’s humanoid robotics project.

What once sounded like science fiction is slowly becoming a legitimate, tangible reality. Industry leaders such as Nvidia‘s Jensen Huang have pointed to the multitrillion-dollar potential at the intersection of AI and robotics. Musk has gone even further, asserting that Optimus could one day account for 80% of Tesla’s value once the platform is scaled.

For investors, this raises an important question: Is Optimus another example of Musk’s grandiose promises, or could it really become Tesla’s most impactful product ever?

Why are humanoid robots important in the broader AI narrative?

In recent years, much of the progress in artificial intelligence has come from the development of large language models (LLMs) capable of generating detailed, context-rich answers to user queries. While these systems have boosted efficiencies across certain workflows, they remain fundamentally reactive — waiting for prompts before offering value.

This limitation highlights why humanoid robotics is such an ambitious frontier. Unlike traditional industrial robots, humanoid robots are built with arms, legs, and advanced dexterity, enabling them to perform human-level tasks in real-world environments.

In many ways, humanoid robotics represent the closest manifestation of achieving generalized intelligence — AI that doesn’t just respond but actively engages with the physical world.

Image source: Getty Images.

What companies does Tesla Optimus compete with?

Thanks in part to Musk’s star power, Optimus has become an increasingly recognized prototype in the humanoid robot landscape. However, Tesla is far from alone in pursuing this technology.

Boston Dynamics — backed by Hyundai — continues to show off mobility and agility capabilities through its humanoid robot platform, Atlas.

Meanwhile, Figure AI — a start-up backed by AI heavyweights such as Microsoft, Nvidia, OpenAI, and Jeff Bezos — is building a competing humanoid system with an initial focus on manufacturing and logistics applications.

Could Optimus really account for 80% of Tesla’s future value?

Today, Tesla’s revenue and profitability are largely driven by its EV and energy-storage businesses. Optimus introduces an entirely new frontier: labor automation. Designed as a general-purpose worker, Optimus has the potential to support manufacturing and production on factory floors while also handling routine tasks in household settings.

The implications are twofold. Internally, deploying Optimus in its gigafactories could yield significant labor efficiencies — lowering operating costs and expanding profit margins as vehicle production scales. Externally, commercialization unlocks the doors to penetrating new markets such as logistics, retail, and healthcare — all areas where reliable labor needs are rising.

Unlike vehicles, which remain commoditized products subject to cyclical demand, Optimus could become a recurring, mission-critical asset for businesses seeking to offset labor shortages or inflationary costs. If successful, this would provide Tesla with a much-needed durable growth engine beyond its legacy auto and energy solutions.

This is why Musk contends that Optimus could ultimately become Tesla’s largest business. Recurring demand and the high-margin nature of robotics have the potential to dwarf even the most optimistic scenarios for Tesla’s car business, which will always face shifting consumer preferences and intense competition from other automakers.

If Tesla executes on its robotics pursuit, the upside could be enormous, potentially reaching $10 trillion, according to Musk. With that said, Optimus should still be viewed largely as a moonshot. The product remains years away from global adoption and is unlikely to move the financial needle for Tesla anytime soon.

Adam Spatacco has positions in Microsoft, Nvidia, and Tesla. The Motley Fool has positions in and recommends Microsoft, Nvidia, and Tesla. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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Trump ‘ready’ to impose sanctions on Russia if Nato nations stop buying its oil | Donald Trump

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Donald Trump has said he is ready to impose sanctions on Moscow, but on the condition that all Nato allies agree to completely halt purchases of Russian oil and implement their own sanctions.

He also suggested members of the transatlantic alliance consider imposing tariffs of 50% to 100% on China for its purchases of Russian petroleum as a way to help end the war.

In a post on his social media site Truth Social on Saturday, the US president wrote: “I am ready to do major Sanctions on Russia when all NATO Nations have agreed, and started, to do the same thing, and when all NATO Nations STOP BUYING OIL FROM RUSSIA.”

Trump also said the alliance’s commitment to winning the war “has been far less than 100%” and branded the purchase of Russian oil by some members of the alliance as “shocking.”

“If NATO does as I say, the war will end quickly, and all of those lives will be saved! If not, you are just wasting my time, and the time, energy, and money of the United States,” he continued.

Turkey, a Nato member, is the third largest buyer of Russia’s oil products, after China and India, according to the Centre for Research on Energy and Clean Air. Other Nato members who purchase Russian oil include Hungary and Slovakia.

Trump has repeatedly threatened Russia with additional sanctions, but so far he has failed to follow through.

Trump also presented the prospect of Nato imposing tariffs on China, which has deepened ties with Moscow, following a high-profile summit between Xi Jinping and president Putin recently in Beijing.

“I believe that [NATO sanctions on Russia], plus NATO, as a group, placing 50% to 100% tariffs on China, to be fully withdrawn after the war with Russia and Ukraine is ended, will also be of great help in ending this deadly, but ridiculous war,” Trump said.

The president has already placed a 25% import tax on goods from India for its buying of Russian energy products, but has not yet placed additional tariffs on China for doing the same.

Trump’s post comes as tensions mount after multiple Russian drones flew into Poland on Wednesday, entering Nato airspace and marking a potential escalation of the war, prompting the alliance to announce a new mission to bolster its eastern flank.



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xAI reportedly laid off at least 500 AI tutors working on Grok

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xAI has laid off at least 500 workers from its data annotation team, the company’s largest, according to Business Insider. The annotation team is in charge of categorizing and contextualizing raw data used to train Grok so that it can understand the world better. Business Insider says the laid off employees were informed via email on the evening of September 12, Friday, that it was going to downsize its team of general AI tutors. They were reportedly told that they would be paid their salaries until the end of their contracts on November 30, but their access to xAI’s systems had been cut off after they received the notice.

When Reuters asked the company for a comment, it referred to a post on X wherein it posted a call for specialist AI tutors instead. xAI said that it will “immediately surge [its] Specialist AI tutor team by 10x” and that it’s hiring across STEM fields. As specialist tutors, the new hires will be “enhancing [the company’s] AI technologies through high-quality inputs, labels and annotations using specialized software.” They’ll gather data and provide their own, not only in text format, but also through audio recordings and video sessions.

As Reuters has noted, the layoffs come after several high-profile departures from xAI, including the company’s chief financial officer Mike Liberatore. The company launched Grok 4 in July, calling it the “smartest AI in the world.” Elon Musk claimed during the model’s reveal that if you make Grok 4 take the SATs and the GREs, it would get near perfect results every time and can answer questions it’s never seen before. He also proclaimed that Grok is going to invent new tech maybe later this year, and that he would be shocked if it doesn’t happen next year.



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