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AI Agent & Copilot Podcast: PwC Leader On Business Transformation, Cloud and AI Growth

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Welcome to the AI Agent & Copilot Podcast, analyzing the latest AI Copilot and agent developments from Microsoft and its partners, delving into customer use cases, and exploring how AI plus the Cloud helps customers reimagine their business.

In this episode, Matt Hobbs of PwC weighs in on business transformation, orchestration, cloud infrastructure growth, and technical debt. Hobbs is cloud, engineering, data, and AI platform leader at PwC.

Highlights

PwC’s Approach to Transformation, Industry Expertise (01:05)

Hobbs explains PwC’s outcomes-driven approach, focusing on business outcomes rather than just technology. PwC’s strategy involves modernizing mainframe environments, using AI to decompose business logic, and building enterprise-agnostic infrastructure. PwC’s approach to AI starts with productivity, then efficiency, and finally value creation.

He highlights the power of agents in specific industries, using examples including Southwest Airlines and insurance companies. He discusses the importance of industry knowledge in building AI solutions that drive business outcomes.

PwC’s Agent OS, Addressing Technical Debt (5:01)

Agent OS was built out of necessity to connect different cloud and legacy systems. The platform allows agents to learn from each other and build an enterprise-agnostic infrastructure. Hobbs emphasizes the importance of Agent OS in addressing sophisticated problems and integrating with major cloud providers including Oracle (OCI), Microsoft, AWS, and Google.

Hobbs explains that Agent OS provides a solid integration layer and microservices to mask complexity. He discusses the need to address technical debt created by humans and modernize legacy infrastructure to support AI advancements.

Cloud Architecture: Avoiding Sprawl Amid AI Deployments (11:50)

Hobbs notes that many clients are still in the POC phase with AI deployments, facing challenges with data and legacy infrastructure. He emphasizes the need for modernizing data environments to take advantage of AI and deliver business outcomes. He suggests focusing on addressing existing technical debt created by humans while modernizing with agents. Hobbs tals about the cost benefits of using AI models, which only incur costs for actual consumption.

Future of Cloud Infrastructure and AI (19:07)

Hobbs predicts continued growth in the cloud infrastructure business, which continues to see massive investment by hyperscalers, driven by the increasing importance of technology in business and digital consumer needs. He notes that while cloud penetration is significant, there is still a lot of room for growth.

He expects significant advancements in AI deployments over the next few months. He describes AI rollout as a persistent, decade-long trend, with ongoing advancements and new developments beyond agents.


AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details.



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Fresh News: WebHopers Digital Marketing Company in India Unveils the AI-Driven Campaigns by Google Search & LLMs

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In today’s fast-paced world, Digital marketing without AI is like fishing in an empty pond – Lots of effort but few results. From finding a shop to buy a product or anything else, nearly every customer begins their search with an AI-powered platform, shaping the decisions in real time. WebHopers exploits the AI to transform the marketing strategies, consumer behaviour, and analyzes the data to ensure the campaigns are Focused, Custom-made, and strongly influential on users. The reason behind this is AI, where things get interesting. It can analyze data, consumer behaviour in real time and predict what people want. Even businesses are not asking now that they should use AI or not, but the real question is how often they can make it a part of their marketing strategies. AI insights allow brands to create a user-friendly and engaging experience like never before.

From Insights to Results: The Growing Demand for AI in Marketing AI is not just limited to data analysis but also covers a wide area of consumer insights that fuel the unstoppable demand across industries.

• The Artificial Intelligence in marketing has a market size of USD 12.7 billion in 2024 as per Cognitive Market Research.

• As per SEMrush, ChatGPT comes in 5th rank on top websites on a global level, and it has 5.38billion visits in August 2025.

• Artificial Intelligence reduces the 20% time to launch the campaign and increases the personalized audience segment by 30% as per Semrush.

Decoding the Power of AI-Driven Campaigns AI-Driven Campaign is the next-generation strategy to reach the right audience online. This is different from Traditional campaigns in which marketers guess the users and target a broad segment. AI-driven campaigns show the right ad to the specific audience at the right time.

Consider this scenario: An Online marketplace brand that sells home decor and furniture items. In the past, they had to guess what the customer wanted and hoped for, but after the AI integration, it completely changed the way of plan ad campaigns. It can now analyze the real-time customer data and top queries such as “Study chairs for small apartments” or “Slider wardrobe under 6000”, and many more. Once AI tells the user’s needs, LLMs like tools can create an exactly fitted ad that users are looking for.

AI Meets Google Search: Redefining Ad Campaigns with LLMs The best marketing does not feel like marketing until businesses do not show to specific and targeted audiences. For this, it is important to know what people are searching for. Google searches provide the insights for what users are searching for, and Large Language Models convert insights into highly personalized and attractive ad campaigns. Let’s see how Google search & LLMs are used for Ad Campaigns: Keyword Targeting with Google Search Keywords are the main foundation for Google Ad Campaigns. Marketing companies search for words or phrases through Keyword planner tools, such as Google Keyword Planner, that show what their target audience is searching for.

Creating Relevant Ads with LLMs After choosing the related keywords, marketers design an ad copy and visuals by LLM tools that match with keywords and the user’s intent. Clear, engaging and relevant to queries, ads are more likely to reach the right audience.

Targeting a Specific Audience Google Ads allows businesses to create a filter for their ads according to: • Location • Device • Demographics • Time By combining LLMs with Google search, right Ads reach the right audience at the right time, which increases the chance of engagement and conversions.

Search Intent for Custom Strategies Google search and LLM provide the search intent and patterns from real-time data. With that business can strategically run campaign aids. Let’s understand this with an example: Users searching for “Family-friendly resort in Manali” can see an ad related to kid-friendly activities in Manali, “special family packages for Manali,” and many more.

Tracking Performance and Optimizing Campaigns Google search ads also allow marketers to analyze the results by tracking the advertising. It shows: • Click Through Rates • Conversions & Sales • Highly driven Keywords • User behaviour with the ad The Business Advantage of AI-Driven Campaigns AI-driven marketing has changed the way of digital marketing. Now, the small to large business models rely on Human Expertise and AI. This combination truly made the customer experience more engaging for the ad campaigns. Adding real-time data and search queries by AI, while humans add emotions and personalization to it, makes the ad campaigns more beneficial for the business. Here are some of the benefits of using AI for ad campaigns: • Precision Targeting • Personalized Customer Experience • Increase Efficiency and Scalability • Real Time Optimization • Better ROI • Competitive Advantage Future Trends: AI, Google Search, and LLMs in Digital Marketing Digital Marketing is in unstoppable growth, and a Combination of AI, Google Search and LLMs is the new era of innovation. Those businesses that adopt these technologies are likely to gain a high percentage of users. Future trends are evolving digital marketing such as: • Hyper-personalised marketing • Predictive Marketing • Voice & Visual Search Integration • Automation at Scale • Smarter Ad Optimization Final Thought AI-driven campaigns powered by Google Search and LLMs are not just an option but have become the future of personalized and effective digital marketing. By leveraging these technologies, businesses can easily reach their valuable customers. Behind all this process, a trusted and experienced marketing company plays a crucial role, and this is where WebHopers AI-Powered Digital Marketing company in India stands out to deliver the AI-Driven Campaigns with Google Search & LLM Models.

Contact Details Name – WebHopers Infotech PVT LTD Email – info@webhopers.com Phone Number – 9056855559 (Disclaimer: The above press release comes to you under an arrangement with NRDPL and PTI takes no editorial responsibility for the same.). PTI PWR

(This content is sourced from a syndicated feed and is published as received. The Tribune assumes no responsibility or liability for its accuracy, completeness, or content.)





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Dan Ives Says Tesla’s AI And Robotaxi Business Worth At Least $1 Trillion, Company And Musk Headed For ‘Important Chapter’ In Growth Story – Tesla (NASDAQ:TSLA)

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Over the weekend, Wedbush Securities analyst Dan Ives said Tesla Inc. TSLA is on the verge of its most significant phase yet, arguing that the company’s artificial intelligence and robotaxi ambitions could unlock at least $1 trillion in value.

AI Revolution And Robotaxi Potential

“We believe Tesla and Musk are heading into a very important chapter of their growth story as the AI revolution takes hold and the robotaxi opportunity is now a reality on the doorstep,” Ives wrote on X, formerly Twitter. “We estimate the AI and autonomous opportunity is worth at least $1 trillion alone for Tesla.”

Ives’ remarks followed a Wall Street Journal report that Stephen Hawk, a 56-year-old Tesla investor from Florida, had filed a shareholder proposal urging Tesla’s board to approve an investment in xAI.

Following the report, SkyBridge Capital founder Anthony Scaramucci also said that a Tesla–xAI merger “feels inevitable.”

See Also: Mark Cuban Once Said First Trillionaire Could Be ‘One Dude In A Basement’ — Now He’s Putting AI Tools Directly In High School Classrooms

Delivery Momentum Fuels Near-Term Gains

Earlier this month, Gary Black, managing partner at The Future Fund LLC, said Tesla’s stock surge in the past few days stems from expectations that the company will exceed Wall Street’s third-quarter delivery forecasts.

“Let’s not kid ourselves,” Black wrote on X. “$TSLA has been strong the past few days NOT because of progress on robotaxi but because every hedge fund has come to the realization that $TSLA will crush 3Q delivery estimates in two weeks.”

Black estimates Tesla will deliver 470,000 vehicles in the quarter, well above Wall Street’s consensus of 432,000, aided by buyers rushing to take advantage of the expiring $7,500 EV tax credit on Sept. 30.

What Are The Mixed Global Signals

Tesla’s performance remains uneven across markets. In China, sales fell 10% in August, marking the sixth monthly decline in 2025. Still, early September saw a rebound, with registrations hitting 14,300, a 41% jump from the previous quarter’s weekly average.

In the U.S., rising vehicle prices have weighed on Tesla’s market share even as overall EV sales climb.

Skepticism On Autonomy And Leadership

Not all observers are convinced Tesla can deliver on Ives’ trillion-dollar thesis.

Ross Gerber, co-founder of Gerber Kawasaki, earlier questioned Tesla’s approach to autonomy, saying Musk has ignored hardware issues critical to self-driving safety.

An ex-employee also criticized Musk’s leadership as “seriously compromised,” alleging it had damaged Tesla’s mission.

Tesla Stock Lags Behind S&P 500 And Nasdaq 100

In July, Tesla reported second-quarter revenue of $22.5 billion, down 12% year-over-year and short of analyst estimates.

At the time, the company reiterated plans to launch a more affordable model later in 2025 while preparing the Tesla Semi and Cybercab for volume production in 2026.

On the analyst front, Tesla carries a consensus price target of $311.81 based on 29 ratings. The three latest updates include Wedbush, RBC Capital and China Renaissance, with their average target of $391.33 suggesting a slight 1.07% downside.

Price Action: So far in 2025, Tesla’s stock is down about 2%, underperforming the S&P 500’s 11.95% gain and the Nasdaq 100’s 14.66% increase, according to Benzinga Pro.

Benzinga’s Edge Stock Rankings indicate that TSLA continues to show strength across short, medium and long-term horizons, with additional insights available for investors.

Read Next:

Photo Courtesy: Josiah True on Shutterstock.com

Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.



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How North Korean and Chinese Hackers Infiltrate Companies With AI

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From bogus IDs to made-up résumés, North Korean and Chinese hackers have been using AI tools to supercharge espionage and slip into companies and other targets.

In the latest case, a North Korean hacking group known as Kimusky used ChatGPT to generate a fake draft of a South Korean military ID. The fake IDs were attached to phishing emails that impersonated a South Korean defense institution responsible for issuing credentials to military-affiliated officials, South Korean cybersecurity firm Genians said in a blog post published Monday.

Kimsuky has been linked to a string of espionage campaigns against individuals and organizations in South Korea, Japan, and the US. In 2020, the US Department of Homeland Security said the group is “most likely tasked by the North Korean regime with a global intelligence-gathering mission.”

ChatGPT blocks attempts to generate official government IDs. But the model could be coaxed into producing convincing mock-ups if the prompt was framed as a “sample design for legitimate purposes rather than reproducing an actual military ID,” Genians said.

This is not the first time North Korean hackers have used AI to infiltrate foreign entities. Anthropic said in a report last month that North Korean hackers used its Claude tool to secure and maintain fraudulent remote employment at American Fortune 500 tech companies. The hackers used Claude to spin up convincing résumés and portfolios, pass coding tests, and even complete real technical assignments once they were on the job.

US officials said last year that North Korea was placing people in remote positions in US firms using false or stolen identities as part of a mass extortion scheme.

China’s hackers are doing it, too

Anthropic said in the same report that a Chinese actor spent over nine months using Claude as a full-stack cyberattack assistant to target major Vietnamese telecommunications providers, agricultural systems, and government databases.

The hacker used Claude as a “technical advisor, code developer, security analyst, and operational consultant throughout their campaign,” Anthropic said.

Anthropic said it had implemented new ways to detect misuse of its tools.

Chinese hackers have also been turning to ChatGPT for help with their cyber campaigns, according to an OpenAI report published in June. The hackers asked the chatbot to generate code for “password bruteforcing”— scripts that guess thousands of username and password combinations until one works. They used ChatGPT to dig up information on US defense networks, satellite systems, and government ID verification cards.

The OpenAI report flagged a China-based influence operation that used ChatGPT to generate social media posts designed to stoke division in US politics, including fake profile images to make the accounts look like real people.

“Every operation we disrupt gives us a better understanding of how threat actors are trying to abuse our models, and enables us to refine our defenses,” OpenAI said in the June report.

It’s not just Claude and ChatGPT. North Korean and Chinese hackers have experimented with Google’s Gemini to expand their operations. Chinese groups used the chatbot to troubleshoot code and obtain “deeper access to target networks,” while North Korean actors used Gemini to draft fake cover letters and scout IT job postings, Google said in a January report.

Google said Gemini’s safeguards prevented hackers from using it for more sophisticated attacks, such as accessing information to manipulate Google’s own products.

OpenAI, Anthropic, and Google did not respond to a request for comment from Business Insider. The companies have said they published their findings on hackers to help others improve security.

AI makes hacking easier

Cybersecurity experts have long warned that AI has the capacity to make hacking and disinformation operations easier.

Hackers have been using AI models to infiltrate companies, Yuval Fernbach, the chief technology officer of machine learning operations at software supply chain company JFrog, told Business Insider in a report published in April.

“We are seeing many, many attacks,” Fernbach said, adding that malicious code is easily hidden inside open-source large language models. Hackers typically shut things down, steal information, or change the output of a website or tool.

Online businesses have also been hit by deepfakes and scams. Rob Duncan, the VP of strategy at the cybersecurity firm Netcraft, told Business Insider in a June report that he isn’t surprised at the surge in personalized phishing attacks against small businesses.

GenAI tools now allow even a novice lone wolf with little technical know-how to clone a brand’s image and write flawless, convincing scam messages within minutes, Duncan said. With cheap tools, “attackers can more easily spoof employees, fool customers, or impersonate partners across multiple channels,” he added.





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