Marketplaces have evolved rapidly. This momentum has been maintained as they now embrace technology and new ways to sell.

The recently published European Marketplace 2023 report highlights some new technologies and even new business models that will be important as the sector evolves even further next year.

AI-powered recommendationsThe need to differentiate through better product recommendations in a crowded market and even using tech to appear to allow shoppers to spontaneously discover new things is about to step up thanks to artificial intelligence (AI).

Recommendation engines on marketplaces and retailer websites are nothing new but their level of sophistication is growing as ever-more powerful AI is brought to bear. This garners much deeper insights into consumer behaviour, allowing for much richer and more nuanced recommendations.

And its not just for existing customers. The holy grail is to be able to recommend things at least in the right ballpark to anonymous customers. Todays (and even more so, tomorrows) AI is starting to be able to do this by having the power to better understand what these new customers look at, where they linger and how they behave on the site. This can then help deliver much more intelligent suggestions and guide shoppers not just to products but also to discounts and offers and even to sign up.

This is vital to marketplaces of all types. The sector is becoming increasingly competitive and, whether a flat, generalised marketplace or a vertical specialist, understanding what customers want is vital.

This trend will be seen in 2024 across all ecommerce, not least as retailers attempt to make their non-marketplace sites perform better than their marketplace competitors. Because of this, marketplace offerings that dont look to AI-powered, deeply intelligent recommendations will struggle.

Chatbots, AI and voice commerceAI will not just be confined to recommendations it has a role to play across the whole ecommerce process, from marketplaces to traditional D2C sites. One of the key areas where it will come to the fore is in chatbots and other tools that allow communication between a marketplace, the retailer and customers.

Of course, chatbots are already used across ecommerce, handling FAQs via instant messaging and routing queries to customer service agents based on intelligently assessing what the consumer is asking. This is very much chatbot 1.0 though and as AI has exponentially increased in power and ubiquity over the past 24 months, so too have the power of AI run chatbots.

Moving on from simple rules-based responses to key words and phrases to find answers or redirect a query, todays AI allows for self-learning that leads to a degree of understanding. The use of generative AI technologies such as GPT4 can also help create bespoke and highly conversational answers. Combing this self-learning and generative approach with rules-based systems can, in theory, create a much more realistic although still totally artificial interaction between brand and customer.

While this can help handle far more consumer interactions than a team of humans ever could, its true potential lies in how to elevate all these interactions beyond being just reactive to customer comments into towards creating genuine two-way conversations akin to how an old-style shop assistant may have helped guide customers to buy. This has the potential along with AI-powered recommendations to create a new paradigm in online selling, cross-selling and up-selling.

For todays marketplaces, this combination is likely to be a much-needed differentiator in the competitive years ahead. It also once again shifts the nature of ecommerce from something that a customer does, towards something that happens to, or, even better, with the consumer.

News in late 2023 that Facebook owner Meta is poised to release chatbots with a personality on Facebook Messenger will only fuel this growth in conversational interaction.

The application of AI to voice also lends itself to voice commerce. Already well documented when smart speakers such as Amazons Echo and Apples HomePod first hit the headlines, the use of voice to interact with websites and sellers has, to some degree, failed to ignite widespread interest. Yet with natural language processing (NLP) and generative

AI surging ahead, the ability to interact verbally with marketplaces is likely to return to the agenda only this time, it wont just be through smart speakers. To gain mass appeal, it will be through the websites and apps of the marketplaces themselves.

It seems inevitable that the internet will slowly edge towards being some sort of metaverse a more immersive semi-naturalistic platform where interaction is less about typing and clicking and more about pointing and speaking. When it does, natural voice interaction and chatbots are likely to become one of the main ways we all use the web, including how we shop on marketplaces.

Messaging, payments and super appsThis shift towards talking to marketplace apps is potentially a huger, broader shift in how everyone will interact with the internet. In the instance of marketplaces, it will allow consumers to talk to these vendors actually, their AI-powered apps to search, get recommendations, discuss products and then buy them in a much more naturalistic way.

Already many younger people are communicating by sending each other voice messages. Apple has added the ability to send video messages via its FaceTime messaging app. Facebook is, as said, creating chatbots with personality. The way we access the web is already changing.

Even for those who arent shifting to this new way of communicating with the digital world, messaging services such as SMS, iMessage, WhatsApp and social media messaging are all increasingly playing a role in how consumers interact with the companies they do business with. The era of conversational commerce be that through text or voice is upon us and its set to create some radical new ways in which we shop. Social media sites, for instance, are shifting from carrying promotional posts about retailers to allowing consumers to buy from them, adding to this conversational commerce model.

Combining messaging and social engagement with shopping and indeed payments can create a powerful new marketplace model. Bringing them all together in one place to create a super app has the potential to build a new, rich way to interact with retailers which, in turn, can lead to greater sales.

Such super apps already exist in China. WeChat, for example, combines social media, messaging, payment and ecommerce in one app. Elon Musks rebrand of Twitter to X and the changes he has instigated at the platform are rumoured to be laying the groundwork to turn X into such a super app. For marketplaces, this presents an opportunity.

The platforms already have the customer base, the products and the payments tools. Add in messaging and engagement and they could relatively easily shift to being super apps. Conversely, social media platforms have the customer base, the messaging and the retailers on-board. As they add ecommerce, they too are also poised to do the same.

As the internet slowly edges towards being an immersive metaverse, these super apps would be perfectly positioned to usher in a whole new modus operandi for online sellers and customers radically altering not only what constitutes a marketplace, but also what the internet actually looks like to its users.

This feature was authored by Paul Skeldon, and appears in the ChannelX European Marketplaces 2023 report.

Download it in full to discover what the marketplace landscape looks like today; what factors are key to a successful marketplace; and how marketplaces are working to try and protect both brands and customers from fraud, counterfeits, and piracy?

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Are chatbots, super apps and AI the future of European marketplaces? - InternetRetailing

Consciousness is one of the most pressing issues of our time. Right up there with climate.

With AI taking off, tech experts are worried that intelligent machines will gain consciousness within the next few years! Meanwhile, we experience life basically in our conscious minds, yet we have only the faintest inkling of how this mysterious phenomenon works, or even what it is. For these reasons, and more, its time to address the question: What is consciousness, really?

For example:

Is human consciousness simply the physical bits of information processed within our brains circuitry? An electrochemical, living intelligence? Like AI only different?

If AI surpasses human intelligence, what happens to us mere mortals? To we, the people?

How does machine consciousness square with religious beliefs? Is spirituality simply an illusion? Is God a fantasy?

To examine these questions, aTechCast studyused collective intelligence to combine background data and the best judgment from 30 experts. Weve used this method for 20 years to forecast emerging technologies and social trends with good accuracy. For instance, TechCast publishedforecastsmore than a decade ago that AI would take off in 2023.

The best way to make sense of these results is to sketch two different propositions describing implications of opposing views.

Proposition 1: AI dominates human consciousness

Yes, this is a stark statement, but its also the logical outcome of the view that sees no significant difference between human consciousness and intelligent forms of AI.

The belief underlying this view is that consciousness is the intelligence shown by any sufficiently complex system. The corollary belief is that human consciousness is simply an outcome of information in the brain. And since AI will soon have near infinite power to process information, some form of Artificial Super Intelligence (ASI) is likely to eclipse human intelligence. From this view, it follows that humans can expect to become inferior to AI, most jobs will be automated, and the vast powers of ASI could threaten humanity.

While this is an elegant theory, its implications are so impossible that they seem to refute the theory. For instance, sound solutions to the climate crisis are well known, but the obstacles are due to procrastination, self-interest, and the lack of political will.How could the most powerful ASI possibly overcome these utterly human foibles?Or could sheer machine intelligence reduce mass shootings? Reconcile opposing sides to the interminable conflict on abortion? In short, the most intelligent AI is not likely to rule the world.

I hope the point is clear. Intelligence the ability to manage objective knowledge is fundamentally different than the subjective ability to resolve the messy, intractable dilemmas that confound humans. Julian Taylor, Software Engineer at Sun Microsystems, highlighted the limits of AI: No algorithm that I have devised has ever developed an unpredictable goal. This is simply not what these algorithmic systems do. And Kurt Gdel, the famous scientist who proved his Incompleteness Theorem, concurred: No conceivable collection of algorithms can possibly manifest human self-aware consciousness.

The meaning of this limitation is profound the most intelligent machine cant be endowed with agency, the ability to exercise free will, to act independently. Yes, its almost given that AI will soon be able to model emotions, values, beliefs, and other human qualities. But theyll be just that simple simulations of human consciousness. Not the real thing. The most brilliant machine intelligence seems doomed to lack agency. For an everyday example, your GPS car navigation system may be brilliant at leading you somewhere, but you must tell it your destination. Only you have agency!

Of the endless brilliant robots and semi-conscious AI systems out there, none are capable of truly independent behavior. For a simple example, your pet Roomba may sweep your floors with great abandon, but only within its programmed limits. Cute, but it doesnt have a conscious mind, really. No agency. ChatGPT? Nope. You have to tell it what to do. Even IBMs powerhouse, Newton, able to beat the top chess masters no agency. Without some dramatic as yet unknown breakthrough in AI,the concept of machine intelligence with human consciousness remains only a theory lacking support.

Yet almost all AI experts are convinced that AI superpowers will eclipse humans. Yuval Harari leads this wave of fear with his belief that AI is an alien species that could trigger humanitys extinction. This blind faith fuels the techno hype reminiscent of the mass hysteria we saw whenY2Kthreatened to destroy civilization at the year 2000 AD. As the critical turn of the century passed nothing happened! This study provides a sober vision that is realistic. Its time to think of AI as simply a powerful tool to be managed carefully.

This impasse in the logic of AI superiority leads to a second proposition that resolves this contradiction.

Proposition 2: Human spirit transcends AI

The lack of AI agency stands in sharp contrast to what Websters dictionary calls human spirit. We could call it the self, or we could think of it as the soul. Whatever it is, knowing that something in human consciousness is more powerful than information helps make sense of our world today.

A solid majority of our experts think that mood shifts, altered awareness, free will, and other states of mind transcend the physical body. Nobel Laureate Roger Sperry summed it up, The mind acts as an independent force.

This view also affirms the belief of all religions that humans are spiritual beings. Albert Einstein himself said, The most profound emotion we can experience is the mystical some spirit is manifest in the laws of the universe. And cognitive scientist David Chalmers thinks, We are likely to discover that consciousness is a fundamental property of the universe, like space, time and gravity.

Once we accept this special role of human spirit, the dilemmas noted above fade into a coherent story of the future. Sure, ASI is almost certain to vastly exceed our feeble ability to manage the overwhelming complexity of modern life. But thats okay because well be there to guide it. To design the systems using principles that ensure their safe behavior. To monitor them carefully and take action to avert problems.

Not only can we manage this AI-human symbiosis, the resulting freedom from todays mind-numbing knowledge work will unleash even more human freedom. More creativity. More awareness. If we can summon the courage and global consciousness to surmount the enormous challenges ahead, we might even see the flowering of human spirit.

Written by William E. Halal.

Have you read?Top Women CEOs of Americas largest public companies (2023 List).CEOs Of The Top Footwear Companies You Should Know.Top CEOs of the Worlds Largest Media Companies In 2023.Best International High Schools In The World, 2023.Revealed: The Worlds Best Airline CEOs, 2023.

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What Is Consciousness, Really? Either AI Rules or Human Spirit ... - CEOWORLD magazine

For the last few months, there's one question that I've been asked countless times.

It comes up without fail during idle moments: coffee breaks at work orstanding around, outat the dogpark.

What do you think about AI?

Usually, the tone is quietly sceptical.

For me, the way it's asked conveys a weary distrust of tech hype, but also a hint of concern. People are asking:Should I be paying attention to this?

Sure, at the start of 2023, many of us were amazed by newgenerative artificial intelligence (AI)tools like ChatGPT.

But, as the months have passed, these tools have lost their novelty.

The tech industry makes big claims abouthow AI is going tochange everything.

But this is an industry that has made big claims before and been proved wrong. It's happened with virtual reality, cryptocurrency, NFTs and the metaverse. And that's just in thepast three years.

So, what do I think of AI?

For the pastfew months I've been working on a podcast series about AI for the ABC, looking broadly at this topic.

It's been a bit like trekking through a blizzard of press releases andproduct announcements.

Everything solid dissolves into a white-out of jargon and dollar signs.

There's so much excitement, and so much money invested, that it can be hard to get answers to the big underlying questions.

And, of course, we're talking about the future! That's one topic on which no-one ever agrees,anyway.

But here's what I've learned from speaking to some of the top AI experts.

Forget Terminator. Forget 2001: A Space Odyssey.

Hollywood's long-ago visions of the futureare getting in the way of understanding the AI we have today.

If you picture a skeletal robot with red eyes every time someone says "AI", you'll have totally the wrong idea about what AI can do, what it can't, and what risks we should reasonably worry about.

Most of the AI tools we use, from ChatGPT to Google Translate, are machine learning (ML).

If AI isthe broad concept of machines being able to carry out tasks in what that we would consider "smart", ML is one way of achieving this.

The general idea is that, instead of telling a machine how to do a task, you give them lots of examples of wrong and right ways of doing the task, and let them learn for themselves.

So for driverless cars, you give a ML systemlots of video and other data of cars being driven correctly, and itlearns to do the same.

For translation, you give a ML toolthe same sentences in different languages, and it figures out its own method of translating between the two.

Why does this distinction between telling and learning matter?

Because a ML tool that can navigate a roundaboutor help you order coffee in French isn't plotting to take over the world.

The fact it can do these narrow tasks is very impressive, but that's all it's doing.

It doesn't even "know" the world exists, says Rodney Brooks, a world-leading Australian roboticist.

"We confuse what it does with real knowledge," he says.

Rodney Brooks has one of the most impressive resumes in AI. Born, raised and educated in Adelaide, during the 1990s heran the largest computer science department in the world, at MIT. He's even credited with inventing the robotic vacuum cleaner.

"Because I've built more robots than any other human in the world,I can't quite be ignored,"he told me when I called him at his home in San Francisco, one evening.

Professor Brooks, who's a professor emeritus at MIT, says the abilities of today's AI, though amazing, arewildly over-estimated.

He makes a distinction between "performance" and "competence".

Performance is what the AI actually does translate a sentence for example. Competence is its underlying knowledge of the world.

With humans, someone who performs well is also generally competent.

Say you walk up to a stranger and ask them for directions. If they answer with confidence, we figure we can also ask them other things about the city: where's the train station? How doyou pay for a ticket?

But that doesn't apply to AI. An AI that can give directions doesn't necessarily know anything else.

"We see ChatGPT do things ... and people say 'It's really amazing'. And then they generalise and imagine it can do all kinds of things there's no evidence it can do," Professor Brooks says.

"And then we see the hype cycle we've been in over the last year."

Another way of putting this is we have a tendency to anthropomorphise AI to seeourselves in the tools we've trained to mimic us.

As a result, we make the wrong assumptions about the scale and type ofintelligence beneath the performance.

"I think it's difficult for people, even within AI, to figure out what is deep and what is a technique," Professor Brooks says.

Now, many people in AI sayit's not so clear cut.

Rodney Brooks and others maybe completely wrong.

Maybe future, more advanced versions of ChatGPT will havean underlying model of the world. Performance will equate to competence.AI will develop a general intelligence, similar to humans.

Maybe. But that's a big unknown.

For the moment, AI systems are generally very narrow in what they can do.

From the buzz out of Silicon Valley, you could be forgiven for thinking the course of the future is pretty much decided.

Sam Altman, the boss of OpenAI, the company that built ChatGPT,has been telling everyonethat AI smarter than any human is right around the corner. He calls this dream Artificial General Intelligence, or AGI.

Perhaps as a result of this, minor advances are oftencommunicated to the public as though they're proof that AI is becoming super-intelligent.The future is coming, get out of the way.

ChatGPT can pass a lawexam? This changes everything.

Google has a new chatbot?This changes everything

Beyond this hype, there are lots of varying, equally valid, expert perspectives on what today's AI is on track to achieve.

The machine learning optimists,people likeSam Altman, are just one particularly vocal group.

They say that not only will we achieve AGI, but it will be used for good, ushering in a new age ofplenty.

"We are working to build tools that one day can help us make new discoveries and address some of humanity's biggest challenges, like climate change and curing cancer," Mr Altman told US lawmakers in May.

Then, there's thedoomers.They broadly say that, yes, AI will be really smart, but it won't be addressing climate change and curing cancer.

Some believe that AI will become sentient and aggressively pursue its own goals.

Other doomers fearpowerful AI tools will fall intothe wrong hands and be misused to generate misinformation, hackelections, and generally spread murder and mayhem.

Then there's the AI sceptics. People like Rodney Brooks.

The real danger, they say, isn't that AI will be too smart, but it will be too dumb, and we won't recognise its limits.

They point to examples of this happening already.

Driverless carsare crashing into pedestrians in San Francisco. Journalists are being replaced by faultybots. Facial recognition is leading to innocent people being locked up.

"Today's AI is a very powerful trick," Professor Brooks says.

"It's not approaching, or it's not necessarily even on the way, to a human-level intelligence."

And there's a fourth group (these groups overlap in complicated ways), who saythat all of the above misses the point.

We should worry less about what AI will become, and talk more about what we want it to be.

Rumman Chowdhury, an expert in the field of responsible AI, says talking about the future as something that will happen to us, rather than something we shape, is a cop out by tech companies.

AI isn't a sentient being, but just another tech product.

"In anthropomorphising and acting like artificial intelligence is an actor that makes independent decisions, people in tech absolve themselves of the sins of the technology they built," she says.

"In their story, they're a good guytrying to make this thing to help people.

"They've made us believe this AI is alive and making independent decisions and therefore they're not at fault."

Most of the popular discussion about AI and the future focuses on what happens when AI gets too powerful.

This is sometimes called the "alignment problem". It's the idea that, in the end, sentient AIwill not do what we what.

Within the AI community, the term "p(doom)" is used to describe the probability of this happening. It's a percentage chance that AI is going to wipe out humanity."My (p)doom is 20 per cent" etc.

But the most chilling vision of the future I heard wasn'tone whererobots stage an uprising.

Instead, it was muchmore mundane and plausible. A boring dystopia.

It's a future where AI pervades every aspect of our lives, from driving a car to writing an email, and a handful of companies that control this technology get very rich and powerful.

Maybe in this future AI issuper-intelligent, or maybe not. But it's at least good enough to displace workersin many industries.

New jobs are created, but they're not as good, because most peoplearen't aseconomically useful as they were. The skills these jobs require skills that were once exclusively human can be done by AI.

High-paying, creative jobs become low-paying ones, usually interacting with AI.

This is the fear that partly motivatedUS actors and screenwriters to go on strikethis year. It's why someauthors are suing AI companies.

It's a vision of the future where big tech's disruptions of certain industries overthe past 20 years Google and Facebooksuckingadvertising revenue out media and publishing, for instance is just thepreamble to a much larger,global transfer of wealth.

"The thing I worry about is there are fewer and fewer people holding more and more wealth and power and control," Dr Chowdhury says.

"As these models becomemore expensive to build and make, fewer and fewer people actually hold the keys to what's going to be driving essentially the economy of the entire world."

Michael Wooldridge, a computer scientist at Oxford University and one of the world's leading AI researchers, is also worried about this kind of future.

The future he envisions is less like The Terminator, and more like The Office.

Not only are most people paid less for the same work, but they're micromanaged by AI productivity software.

In this"deeply depressing" scenario,humans are the automata.

"A nagging concern I have is that we end up with AI as our boss," Professor Wooldridge says.

"Imagine in a very near future we've got AI monitoring every single keystroke that you type. It's looking at every email that you send. It's monitoring you continually throughout your working day.

"I think that future, unless something happens, feels like it's almost inevitable."

Sixty years ago, in the glory days of early AI research, some leading experts were convinced that truly intelligent, thinking machines were a decade or two away.

About 10 years later, in the early 1980s, the same thing happened: A few breakthroughs led to a flurry of excitement. This changes everything.

But as we know now, it didn't change everything. The future that was imagined never happened.

The third AI boom started in the 2010s and has accelerated through to 2023.

It's either still going, or tapering off slightly. In recent months, generative AI stocks have fallen in the US.

ChatGPT set the record for the fastest selling user base ever, in early 2023. But it hasn't maintained this momentum. Visits to the sitefell from June through to August this year.

To explain what's going on, some analysts have referenced Amara's Law, which statesthat we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.

They've also pointed to something called the Gartner Hype Cycle, which is a graphical representation of the excitement and disappointment often associated with new technologies.

Continued here:

'What do you think of AI?' People keep asking this question. Here's five things the experts told me - ABC News

The development of popular artificial intelligence (AI) applications like OpenAI's ChatGPT wouldn't be possible without advanced semiconductors (chips). They are fitted inside data centers managed by cloud providers like Amazon, which are rented by AI developers to train their models.

Semiconductor giant Nvidia has an estimated 90% market share in the emerging industry for AI data center chips, but Advanced Micro Devices (AMD 1.52%) recently launched its own line of competing hardware.

AMD has struggled over the last 12 months because its core business involves selling chips for segments like gaming and personal computing -- precisely where consumers have cut spending amid challenging economic conditions. As a result, AMD stock trades 30% below its all-time high.

But the company just reported its financial results for the third quarter, and investors have plenty to look forward to, including billions of dollars in potential sales of its new AI chips in 2024. Here's why now is a great time for investors to buy the dip.

Image source: Getty Images.

AMD is one of the most renowned semiconductor companies in the world. Its chips can be found in a long list of leading consumer electronics, including high-end computers, top gaming consoles like Sony's PlayStation 5 and Microsoft's Xbox, and even the infotainment systems in Tesla's electric vehicles.

But there's a greater opportunity on the horizon for AMD. Nvidia CEO Jensen Huang says $1 trillion worth of existing data center infrastructure needs upgrading to support accelerated computing and AI, and while his company currently has almost the entire market to itself, AMD is focused on snatching some market share.

Earlier this year, AMD revealed its new MI300 lineup of data center chips designed for AI workloads. The company says its MI300A variant combines computing processors (CPUs) with graphics processors (GPUs) to create the world's first accelerated processing unit (APU) for data centers. AMD began shipping the MI300A to the Lawrence Livermore National Laboratory last month to power the El Capitan supercomputer, which will be the most powerful on the planet when it comes online next year.

AMD says its data center GPU chips alone could exceed $2 billion in revenue in 2024, which would make the MI300 the fastest product to ramp to $1 billion in sales in the company's history.

But AMD is also tackling a new frontier, which is AI-enabled personal computers and devices. Its Ryzen AI lineup of chips is now available in 50 notebook designs with more coming thanks to collaborations with Microsoft, which already has a history of using AMD hardware in its Surface devices. Ryzen AI will allow computers to run AI workloads on-device, which can make them far more responsive than relying on cloud-based applications hosted by external data centers.

Through the first six months of 2023, AMD's revenue sank by 13.8% on a year-over-year basis. It was led by a whopping 59% drop in its client segment, which includes the chips the company makes for third-party computers and devices.

But in the third quarter, AMD's revenue grew by a modest 4.2% year over year, to $5.8 billion -- but this time, it was actually led higher by the client segment, which saw a 42% revenue increase on its own. The result was driven by strong demand for the Ryzen 7000 series chips, which includes the AI variants I mentioned earlier.

Data center revenue remained flat, but with large-scale MI300 shipments on the horizon, that is very likely to change soon.

AMD anticipates $6.1 billion in total revenue in the current fourth quarter of 2023, which would mark an accelerated year-over-year growth rate of 9%. It's a great sign AMD's business is now on the upswing after a challenging 12-month period.

AMD's profitability has suffered lately. With revenue falling, AMD had to carefully manage its costs while still investing in the development of its new AI chips, which created a headwind at its bottom line. It resulted in the company's non-GAAP earnings per share sinking by 45% in the first half of 2023.

But the company's non-GAAP earnings returned to growth in Q3, increasing by 4% compared to the same quarter last year. Its trailing-12-month earnings per share now stands at $2.57, and based on a current stock price of $108.79, AMD is trading at a price-to-earnings (P/E) ratio of 42 at the moment.

That's significantly more expensive than the 29 P/E ratio of the Nasdaq-100 index, which is a good benchmark for the average valuation of large technology companies.

While that sounds unattractive, investors are faced with a very different picture when they look ahead to 2024. Wall Street analysts predict the company's earnings will come in at $3.93 for the year, which places AMD stock at a far more palatable forward P/E ratio of 27.7. There might even be upside to that earnings number if the uptake of AMD's AI chips occurs at a faster rate than analysts predict, or even if interest rates fall and the economy improves faster than expected.

Therefore, AMD stock looks like a bargain right here at a 30% discount to its all-time high, especially for investors who can hold on for the next few years while AMD ramps up its AI sales.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Amazon, Microsoft, Nvidia, and Tesla. The Motley Fool has a disclosure policy.

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1 Super Semiconductor Stock Down 30% You'll Wish You'd Bought ... - The Motley Fool