Business
6 overlooked AI stocks to consider buying now

But there’s no mistaking the high expectations that investors are placing on these household names going forward. Plus, the uber-explosive earnings growth for names like Nvidia may soon start to slow, as the company told investors in its recent earnings call.
So if you missed their run-ups in the market, you might be feeling like you missed the boat on the AI trade. (To be fair, you probably didn’t miss out entirely — these companies have huge exposures in the S&P 500 and Nasdaq 100, meaning most index investors already have some fairly sizeable positions in the AI giants.)
But if you’re looking for some overlooked AI firms, there are still plenty of opportunities out there, according to Que Nguyen, the CIO at Research Affiliates, and Brian Mulberry, a senior portfolio manager at Zacks Investment Management.
In recent interviews with Business Insider, the duo shared some of their preferred non-mega-cap AI stocks right now.
For Nguyen’s part, she said to look to stocks like Western Digital (WDC), Seagate Technologies (STX), Hewlett Packard Enterprise (HPE), and Micron Technology (MU) — all data storage providers.
“One of the things that I see is AI is spreading and benefiting an entire ecosystem of technology companies,” Nguyen said. “So you look at even boring companies like hard disk companies — in order to have AI you need to be able to store a lot of data and get it quickly, right?”
“None of these companies is nearly as expensive as the Mag 7,” she continued. “Don’t just stick with the Mag 7, or Nvidia and AMD. Look more broadly — own something diversified. You have no idea where the next killer app is going to come, or where the next big investment theme is going to be.”
Some examples of diversified products offering specific AI and tech stocks expsoure include the Global X Artificial Intelligence & Technology ETF (AIQ) and the iShares AI Adopters & Applications UCITS ETF (AIAA).
Both are hardware providers, and are raking in money from hyperscalers as they spend hundreds of billions to build out their AI data centers, Mulberry said. Consensus earnings estimates for both firms show growth in the next couple of years, he said.
“They’re simply benefiting from the actual dollars being spent without having to increase their own capex,” he said of the stocks.
He continued: “They’re very specialized electrical connectors, and they don’t have to do anything other than just show up and start helping build out data centers with their expertise.”
Business
AI Gold Rush Breeds Harsh 996 Work Routine In Silicon Valley | Business News
Last Updated:
Silicon Valley tech giants battle for AI dominance, offering huge pay and adopting the 9-9-6 culture in San Francisco startups.

AI Boom, Human Cost: San Francisco Startups Push 9-9-6 Work Schedule
The race for AI heats up, with tech companies in Silicon Valley pouring billions into overpowering others and grabbing the largest pie in the emerging market. Companies have reportedly begun poaching human resources by offering millions of dollars in a pay package. No one wishes to lag behind when things are high at stake. Everyone is ready to pour sweat and blood, literal and metaphorical.
At the center of this heated race, a new culture called 9-9-6 has emerged in the startups of San Francisco, USA.
What Is 9-9-6 Culture?
It means employees of these startups work from 9 in the morning to 9 in the evening, Monday through Saturday. It translates to 72 hours of work weekly, going away from 4 or 5 day work week culture being promoted across Europe, particularly Nordic countries for more leisure time.
An X handle named TBPN in the post said that they checked the receipts and found that the claims are “true” – Saturdays have become a workday. “The great lock-in is in full effect,” it added.
Many San Francisco startups claim they practice 9-9-6, so we checked the receipts.We worked with Ramp to look at the data and it’s true – Saturdays have become a workday.
The great lock-in is in full effect. pic.twitter.com/MbwAICe3Dy
— TBPN (@tbpn) September 8, 2025
AI War Among Tech Titans
Several big tech giants, including Meta, Google, Microsoft and Amazon, have poached the startup founders with a high paycheck to work with their teams building the smartest Large Language Models (LLMs) and improving the hot application-based technology. For instance, Meta shocked the tech industry when it announced to invest a $14.3 billion in data labelling startup Scale AI. As part of the agreement, Meta took a 49% stake in the company, hired its CEO Alexandr Wang to lead a new superintelligence lab and said it would deepen the work it does with Scale.
Since the inception of ChatGPT by OpenAI in late 2020, the official age of AI has begun. Two years after the trailblazing technology, there’s no official winner, but a sudden push to have everything as AI-laced.
A team of writers and reporters decodes vast terms of personal finance and making money matters simpler for you. From latest initial public offerings (IPOs) in the market to best investment options, we cover al…Read More
A team of writers and reporters decodes vast terms of personal finance and making money matters simpler for you. From latest initial public offerings (IPOs) in the market to best investment options, we cover al… Read More
September 10, 2025, 10:22 IST
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Business
How AI Revolutionises Customer Service and Transforms Global Business

Artificial intelligence is rapidly reshaping the landscape of customer service, offering businesses new ways to engage with consumers and streamline operations. From chatbots to predictive analytics, AI-driven solutions are now at the forefront of digital transformation, enabling organisations to deliver faster, more personalised support. As industries adapt, the implications for business models and consumer expectations are profound and far-reaching.
The Expanding Role of AI in Customer Engagement
The integration of AI into customer service has moved well beyond simple automation. Today, intelligent systems can interpret natural language, understand context, and even anticipate customer needs before they arise. This shift allows companies to provide round-the-clock assistance, reduce response times, and resolve issues with greater accuracy. For example, virtual assistants powered by machine learning can handle complex queries, freeing human agents to focus on higher-value interactions. As AI transforms customer interactions, consumers increasingly look for intuitive platforms, a trend also reflected in how users select reliable sports betting sites that offer seamless digital experiences.
How Cross-Industry Adoption Impacts Business
AI-driven customer service is not confined to any single sector. Financial institutions deploy AI to detect fraud and offer tailored product recommendations, while retailers use it to personalise shopping experiences and manage inventory. Healthcare providers leverage AI-powered chatbots to triage patient inquiries and streamline appointment scheduling. This widespread adoption is driving operational efficiencies and enabling businesses to scale support without compromising quality. Many companies in the UK attribute their rapid growth and resilience in 2025 to strategic adoption of AI technologies and innovative business models, as highlighted in an article detailing the UK business success secrets that can inspire emerging enterprises.
Addressing Challenges and Shaping the Future
Despite the clear benefits, integrating AI into customer service presents challenges. Data privacy, algorithmic bias, and the need for transparent decision-making remain top concerns for both businesses and consumers. Companies must invest in robust governance frameworks and continuous training to ensure AI systems are ethical, secure, and aligned with customer expectations. Looking ahead, the evolution of AI will likely see even deeper personalisation, with systems learning from every interaction to refine their responses. As technology matures, organisations that prioritise trust, transparency, and human-centric design will be best positioned to thrive in this new era of customer engagement.
AI as a Catalyst for Transforming Business
The rise of AI in customer service marks a pivotal moment for global business. By embracing intelligent technologies, companies can enhance customer satisfaction, unlock new efficiencies, and gain a competitive edge. The journey is ongoing, and the most successful organisations will be those that balance innovation with responsibility, ensuring that technology serves both business goals and the evolving needs of their customers. As AI continues to advance, its role as a catalyst for transformation across industries is set to grow, offering exciting opportunities for those ready to adapt.
Business
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