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Robinhood CEO says just like every company became a tech company, every company will become an AI company

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Earlier advances in software, cloud, and mobile capabilities forced nearly every business—from retail giants to steel manufacturers—to invest in digital transformation or risk obsolescence. Now, it’s AI’s turn.

Companies are pumping billions of dollars into AI investments to keep pace with a rapidly changing technology that’s transforming the way business is done.

Robinhood CEO Vlad Tenev told David Rubenstein this week on Bloomberg Wealth that the race to implement AI in business is a “huge platform shift” comparable to the mobile and cloud transformations in the mid-2000s, but “perhaps bigger.”

“In the same way that every company became a technology company, I think that every company will become an AI company,” he explained. “But that will happen at an even more accelerated rate.”

Tenev, who co-founded the brokerage platform in 2013, pointed out that traders are not just trading to make money, but also because they love it and are “extremely passionate about it.”

“I think there will always be a human element to it,” he added. “I don’t think there’s going to be a future where AI just does all of your thinking, all of your financial planning, all the strategizing for you. It’ll be a helpful assistant to a trader and also to your broader financial life. But I think the humans will ultimately be calling the shots.”

Yet, Tenev anticipates AI will change jobs and advised people to become “AI native” quickly to avoid being left behind during an August episode of the Iced Coffee Hour podcast. He added AI will be able to scale businesses far faster than previous tech booms did. 

“My prediction over the long run is you’ll have more single-person companies,” Tenev said on the podcast. “One individual will be able to use AI as a huge accelerant to starting a business.”

Global businesses are banking on artificial intelligence technologies to move rapidly from the experimental stage to daily operations, though a recent MIT survey found that 95% of pilot programs failed to deliver.

U.S. tech giants are racing ahead, with the so-called hyperscalers planning to spend $400 billion on capital expenditures in the coming year, and most of that is going to AI.

Studies show AI has already permeated a majority of businesses. A recent McKinsey survey found 78% of organizations use AI in at least one business function, up from 72% in early 2024 and 55% in early 2023. Now, companies are looking to continually update cutting-edge technology.

In the finance world, JPMorgan Chase’s Jamie Dimon believes AI will “augment virtually every job,” and described its impact as “extraordinary and possibly as transformational as some of the major technological inventions of the past several hundred years: think the printing press, the steam engine, electricity, computing, and the Internet.”

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Get paid faster: How an AI productivity assistant can save small businesses hours every week by chasing late payments

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For Nadia, Sage Copilot is an essential ally when it comes to tackling a chore most small businesses waste time on – chasing overdue invoices.

Nadia is the volunteer treasurer of a rowing club in Hammersmith, and uses Sage Copilot to automatically detect when invoices are due – and at the click of a button can send automatic payment reminders to chase unpaid invoices.

Every week, Sage Copilot saves her five hours, she estimates – and Sage customers report that using the function gets them paid a week earlier.

Lisa Ewans, Senior Vice President at the Newcastle-based accounting software firm says: ‘Through our AI, Nadia saves hours of admin a week, which is hugely valuable as a volunteer, because it’s not a day job she’s getting paid for so time is her currency.’

‘Sage Copilot automatically runs in the background, and at the click of a button Sage Copilot chases those customers whose payments are overdue and helps to get the payments in.’

Small businesses can customise the tone of their invoice-chasing emails so it sounds like them, giving them control of how the AI works for them.

Sage Copilot helps small business owners stay on top of their finances and in control of cash flow: as well as chasing invoices. It can help business owners spot duplicate payments and other errors in their accounts, a common problem, and spot trends that might affect the business.

From tradespeople to coffee shop owners

Sage Copilot helps small business owners stay on top of their finances and in control of cash flow

Sage Copilot has a huge amount to offer for businesses in many sectors: tradespeople, for example, often spend considerable time chasing late payments.

Tradespeople can use the time saved to focus on finding new customers or delivering for existing ones.

With Sage Copilot, small business owners can stay on top of their finances with confidence. From chasing invoices to catching duplicate payments and errors, it even spots trends that might affect their business—helping them stay one step ahead.

And when it identifies changes, like rising prices, Sage Copilot provides clear, timely alerts so you can act quickly and make confident decisions.

For other business owners such as cafe owners, the ability to easily spot duplicate payments within VAT returns, or payments that have been miscategorised allows business owners to file returns with peace of mind.

Lisa Ewans says: ‘The focus is around identifying errors in the data, so Sage Copilot spots duplicate transactions for example and alerts business owners automatically. It gives business owners the confidence to sign off returns quickly, and saves them time.’

Sage is a British business, born and bred, with its global headquarters in Newcastle—our home for over 40 years. In that time, it has worked closely with businesses across every sector to understand their challenges and develop financial AI that delivers real value to businesses, solving real world challenges. 

Helping with the details

For accountants and bookkeepers, Sage Copilot offers other benefits, helping them deal with both tax returns and ‘Know Your Customer’ (‘KYC’) checks, which are a series of procedures businesses must follow to verify their customers’ identities and check their risk profiles.

Sage’s experts identified the real ‘pain points’ faced by accountants and bookkeepers, who often spend too much time chasing clients for documents such as identity documents and paper copies of receipts.

Instead of chasing clients via phone and email, Sage delivers automatic assistance when it comes to the documents accountants and bookkeepers need for tax returns and KYC processes.

Ewans says: ‘One of the biggest pain points we hear from accountants is that they spend a load of time chasing up documents,transactions that haven’t been submitted properly, and chasing up paper copies of receipts.’

Sage created a workflow specifically designed so that accountants and bookkeepers could spend less time chasing customers for information.

Instead, Sage Copilot automatically reaches out to customers to request information, and customers upload receipts (for example) as images.

This means that accountants have to spend less time chasing customers via email.

Trusting AI

For Sage, it was important that businesses should be able to trust the AI software to deliver securely, privately and effectively. Sage’s AI Trust Label is a direct response to this – it is designed to provide customers with clear, accessible information about the way AI functions across Sage products.

Sage Copilot was made in the UK, and was built from the ground up with the needs of this country’s businesses in mind.

Ewans says: ‘We know that trust is really important to our customers. You don’t have to be a huge Silicon Valley company to deliver for customers.

‘We have 40 years of experience working with small businesses, and 400 UK-based engineers and data scientists building Sage Copilot to deliver an AI copilot that focuses on the real needs of small businesses today.’



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AI was practically invisible at new phone launch, does health tech in AirPods, Watch make up for it?

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Of course, there was the usual promotional video featuring people whose lives have been saved as the result of the watch, which toes the line between feeling genuinely heartfelt and feeling like it’s preying on people’s insecurities around sudden health emergencies to sell watches.

But either way, the Apple Watch really does notice when people have a hard fall or are in a car accident, and it can call emergency services. It can also help prevent emergencies by picking up on heart health concerns or guiding outdoor explorers back to a point they had been to previously.

At the event, Apple said its Watch Series 11 could detect high blood pressure, meaning it could alert people to an increased risk of stroke or heart attack, though that feature will require regulatory approval in each region before it works.

Fitness tracking

Aside from watches, Apple unveiled a new version of the AirPods Pro — which it claims are the world’s most popular headphones — that have integrated heart rate sensors. This is something the company introduced earlier this year in a set of fitness-focused Beats headphones, but having them in such a mainstream-friendly product could be a big deal.

The buds have a similar photoplethysmography sensor to what you’d find in a smartwatch for keeping an eye on a user’s blood flow, and they also have accelerometers, a gyroscope and GPS systems inside, so people without an Apple Watch will get the same kind of workout-tracking through the buds. We won’t know if this comes with any particular limitations until we’ve tried it ourselves, though we do know the heart tracking is active only during workouts, and that the buds have to be connected to an iPhone to do it.

The AirPods Pro 3 have upgraded waterproofing to protect them from sweat or rain (IP57 vs IPX4 on the Pro 2); they introduce a new live translation feature; they have improved noise-cancelling; and they also inherit the health-focused capabilities of the previous Pro buds.

Namely, they can function as clinical-grade hearing aids; they can administer hearing tests; and they can protect ears by lowering loud ambient sounds.

And incidentally, all of this health and fitness stuff is absolutely powered by AI. It’s just not the chatty kind; its use is isolated to specific functions, and it’s backed by a lot of research and development.

Software ecosystem

It’s all well and good for me to show health features that might really help somebody’s quality of life, and contrast it with generative AI chatbots that often do anything but. Yet, you may rightly wonder why Apple shouldn’t have both. Can’t it match all the AI tools found on Samsung and Google phones, while also keeping up its health and wearables innovations?

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Of course it totally can, but it doesn’t necessarily have to build those tools. The iPhone is practically the de facto general computing platform of our era, and while that could be better reflected in some of Apple’s App Store policies, the big sensations from the likes of ChatGPT, Perplexity and Gemini will all come to iPhone.

Saying Apple needs to develop its own AI is a little like saying Apple needs to develop its own video games. Why should it need to? It owns the platform that the games are played on. It can capitalise on their popularity by running the platform’s best store, offering subscriptions and services and designing its hardware and operating system in a way that keeps developers and players coming back.

Apple already makes plenty of incredible apps and features for its own devices, and personally I see no reason for it to start integrating generative AI into all of them. By offering developers APIs that let them dig into the machine learning tech on Apple’s chips, and providing the mechanism for users to install apps and customise their devices to use whatever services they want, iPhone will become a natural home for any AI innovations. And when those innovations turn out to be inaccurate or dangerous, Apple will more easily wash its hands of them.

Industrial design

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Some might not like to admit it, but what a device looks and feels like is a major factor in how enjoyable it is to use, which Apple attempted to reassert this week by evoking Steve Jobs’ arguments about form equalling function, and then unveiling an extremely thin phone it said was also its most durable yet, and a bold but divisive redesign for its iPhone Pro.

We’re not in 2012 any more, where most Android phones were dinky and weird compared to the iPhone, and there are currently many beautifully made phones from companies all over the world. But this was the first Apple event in a long time where the company seemed to lean hard on its bona fides as a design company, and I think that’s one of its major strengths. If I had to choose between phones purely by watching the iPhone Air introduction video and the Pixel 10 rundown starring Jimmy Fallon, it wouldn’t be particularly close.

It’s not all whimsical advertising and orange anodised aerospace aluminium alloy, though. Apple pushes durability and device longevity further every year, so people get a well-made product they keep for longer, or which is worth more when they decide to re-sell it. And that kind of philosophy is almost diametrically opposed to the logical conclusion of a smartphone run by AI; that physical devices will eventually disappear in favour of cloud-based voice interfaces and content services.

Apple can keep all of its strengths while adding more AI, and I’m sure it will. But training, testing and implementing generative AI in a responsible way is a massive undertaking, and a very different game to making good, reliable devices and software services. Maybe it’s the one company doesn’t need to do both, and in fact there’s something to be said for being the platform that has more important things going on.

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Prediction: This Artificial Intelligence (AI) Company Will Reshape Cloud Infrastructure by 2030

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Key Points

  • The cloud infrastructure space got a jump start thanks to the surge in demand for AI.

  • Oracle Cloud Infrastructure (OCI) recently signed a flurry of deals that could take its business to the next level.

  • The company is on a path to become one of the world’s largest cloud providers.

  • 10 stocks we like better than Oracle ›

The advent of modern cloud computing is largely attributed to Amazon, which pioneered cloud infrastructure services with the introduction of Amazon Web Services (AWS) in 2002. The industry has evolved over time, but the basics remain the same: Providers offer on-demand, scalable computing, software, data storage, and networking capabilities to any business with an internet connection.

After a period of slower growth, the cloud infrastructure space got a jump start thanks to recent developments in the field of artificial intelligence (AI). However, the large language models that underpin the technology require a great deal of computational horsepower, which typically isn’t available outside a data center. As a result, the demand for cloud infrastructure services has skyrocketed in recent years, and it’s expected only to grow from here.

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Recent developments suggest there could be a big shakeup coming to the cloud infrastructure space, led by technology stalwart Oracle (NYSE: ORCL).

Image source: Getty Images.

Skyrocketing demand for Oracle Cloud

While the company is primarily known for its flagship Oracle Database, it offers customers a growing suite of enterprise software, integrated cloud applications, and cloud infrastructure services.

Oracle Cloud Infrastructure (OCI) has long trailed the Big Three cloud providers. To close out the calendar second quarter, AWS, Microsoft Azure, and Alphabet‘s Google Cloud controlled 30%, 20%, and 13% of the market, respectively, according to data compiled by Statista. Oracle ran a distant fifth with 3% of the market.

Yet, recent developments suggest a paradigm shift in the status quo. When Oracle released the results of its fiscal 2026 first quarter (ended Aug. 31), the headline numbers were largely business as usual. Total revenue grew 11% year over year to $14.9 billion, while its adjusted earnings per share (EPS) of $1.47 grew 6%.

However, investors were taken aback by the magnitude of Oracle’s backlog, as its remaining performance obligation (RPO) — or contractual obligations not yet included in revenue — surged 359% year over year to $455 billion. Perhaps more impressive is the $317 billion in contracts signed during the first quarter alone.

Oracle’s position as a trusted partner to enterprise made it “the go-to place for AI workloads,” according to CEO Safra Catz. If that wasn’t enough, she went on to say, “We expect to sign-up several additional multi-billion-dollar customers and RPO is likely to exceed half-a-trillion dollars.”

Breaking down that backlog shows that Oracle will be reaping the benefit of those deals for years to come:

  • Fiscal 2026 cloud revenue of $18 billion, up 77%
  • Fiscal 2027 cloud revenue of $32 billion, up 78%
  • Fiscal 2028 cloud revenue of $73 billion, up 128%
  • Fiscal 2029 cloud revenue of $114 billion, up 56%
  • Fiscal 2030 cloud revenue of $144 billion, up 26%

The company notes that the majority of the revenue in this outlook is already booked in RPO, so there are contracts backing these forecasts. If Oracle is able to reach these lofty benchmarks, and that’s still a big if, OCI will join the big leagues of cloud infrastructure and could potentially unseat one or more of the Big Three.

A changing of the guard?

As previously stated, Amazon, Microsoft, and Google top the list of cloud infrastructure providers, so it helps to see where they stand. During the first six months of 2025, AWS generated revenue of $60.1 billion, up 17%, suggesting a run rate of $120 billion. During the same period, Google Cloud’s revenue came in at $25.9 billion, up 30%, suggesting a run rate of about $51.8 billion. Microsoft doesn’t generally break out Azure’s revenue, but it recently revealed that for fiscal 2025 (ended June 30), Azure surpassed $75 billion in revenue, up 34%.

Given the limitations, this is obviously not an apples-to-apples comparison, but it provides us with a starting point. Taking these extrapolated figures and applying their most recent growth rates over the coming four years, here’s where the Big Three would stand by the end of calendar 2029 compared to Oracle:

  • AWS: $225 billion
  • Azure: $241 billion
  • Google Cloud: $157 billion
  • Oracle: $144 billion

Using our imperfect information and assuming Oracle can turn its RPO into cloud revenue, this exercise shows a path for OCI to mount a challenge to the Big Three over the next five years.

To be clear, this is fun with numbers, and life doesn’t occur in a vacuum. All of our cloud infrastructure providers will likely grow more quickly or more slowly than our examples suggest. One of the upstart neocloud providers could capture an outsize portion of the market. There are plenty of other examples of what could go very right or very wrong, but you get the idea.

To buy or not to buy?

The recent surge in Oracle’s stock price has had a commensurate impact on its valuation, which appears lofty at first glance. The stock is selling for 38 times next year’s earnings, which is certainly a premium. However, using the more appropriate forward price/earnings-to-growth (PEG) ratio, which accounts for the company’s growth trajectory, the multiple comes in at 0.8, when any number less than 1 is the standard for an undervalued stock.

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Danny Vena has positions in Alphabet, Amazon, and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Oracle. 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.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.



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