Can Sam Bankman-Fried’s house arrest save crypto?

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on July 10th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

He was on the cover of Forbes. Now he sits under house arrest at his parents’ home, facing over 100 years in prison. When the crypto market is in crisis, the former white knight — Sam Bankman-Fried — won’t be there to help.

Green tree-lined avenues crisscross the wealthy small town of Palo Alto, just over an hour south of San Francisco. On its outskirts you find the prestigious Stanford University, workplace of law professors Barbara Fried and her husband Joseph Bankman.

At home in their house, they have a new lodger. He sits under house arrest playing the video game Storybook Brawl while awaiting his trial.

Or SBF, as he has come to be known.

Once celebrated as a modern company-builder.

Now under investigation for fraud, embezzlement, and money laundering.

The luxury apartment in the Bahamas where he lived with his colleagues and former girlfriend has been confiscated. Bankruptcy administrators are trying to work out where all the customers’ money and assets have gone.

Getting to the bottom of it appears to be a complicated task.

John Ray III — the person appointed to oversee the effort — has made clear that the situation at FTX was worse than at the scandal-hit energy company Enron. And he should know — Ray was the one who had to untangle that mess too.

Bankman-Fried was long the public face of the entire crypto industry. Now he stands accused of, among other things, embezzlement running into the billions. A last-ditch attempt to have many of the charges dismissed failed in the middle of summer.

Bankman-Fried faces over 100 years in prison if convicted.

In many ways, the situation is symptomatic of the state of the cryptocurrency market as a whole.

Rise like a rocket, fall like a stone.

Sam Bankman-Fried was the white knight whose company FTX stepped in to buy up collapsed crypto projects like Voyager and BlockFi. They were compared to being a central bank within the world of cryptocurrencies.

But even central banks can apparently collapse.

And with FTX went the air out of a speculative market that has struggled to explain what it is actually for — beyond the speculation itself. Trading volumes for cryptocurrencies have halved in a year and are at their lowest level in three years.

Perhaps reality is starting to catch up with the crypto market?

At the start of summer, the American financial regulator the SEC sued two of the dominant cryptocurrency trading platforms — Binance and Coinbase. The SEC believes they have traded in the equivalent of securities, and that those securities have therefore not been handled correctly. The platforms deny any wrongdoing.

The SEC lawsuit puts its finger on a central question — how should a cryptocurrency actually be regarded? If it is not a form of security, then what is it?

This will now likely be worked out in court. The case could bring clarity — and with it legal precedent — to something that is, at best, unclear today, and at worst, the Wild West.

The number of crypto projects that have gone up in smoke after taking in millions from retail investors is uncountable. An updated regulatory framework could help prevent similar situations in the future.

A likely outcome, however, is that cryptocurrency is deemed to be exactly that — a security — and therefore needs to be handled in the same way as a stock or a bond. That would mean more laws and centralized oversight to ensure everything is done properly.

This would in turn likely lead to something of an identity crisis, since a large part of the appeal of cryptocurrencies is that they are meant to be decentralized — economic systems where no single individual, party, or institution can control the free flow of value being exchanged. That sounds utopian. But now the utopia has stalled, at least temporarily, in the somewhat dry and slow world of everyday regulation.

On this side of the Atlantic, in the United Kingdom, there is another interesting line being drawn. Their equivalent of the financial regulator, the FCA, has decided that crypto companies must ensure that their customers have “adequate knowledge and experience” to invest in cryptocurrencies. That too runs against the decentralized and anonymous ethos.

Not everything is pitch black, however. Many enthusiasts distinguish between bitcoin and all other cryptocurrencies. A cleanup among the less serious players could benefit bitcoin and a handful of other, more established currencies.

There is also something to suggest that bitcoin specifically has shown resilience against what has been a decidedly grim news cycle of late. Since the start of the year, the price of bitcoin has risen over 86 percent. Asset management giant BlackRock has applied to operate an ETF — an exchange-traded fund — based on the bitcoin price. Several similar products already exist, though none quite as prominent as BlackRock.

This messy and rebellious industry appears to be in the middle of a professionalizing ordeal. Many companies, cryptocurrencies, and ideas are unlikely to survive it. But for those that manage to pass through the new regulatory eye of the needle, a new and larger market may become accessible.

It may not be the decentralized vision that some had hoped for. But it could come to be what has so far been missing — a truly global digital currency that everyone can use.

Meanwhile, Sam Bankman-Fried’s house arrest continues.

And his story captivates. Bloomberg recently released the podcast series Spellcaster, which documents his rise and fall. Several books have already been written. Michael Lewis — the author who wrote The Big Short — spent months with him before the crash. His book is released in early October, just as the trial against Sam Bankman-Fried is expected to begin.

The ‘Twitter killer’ is perfectly timed

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on July 6th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

Can Instagram’s new Twitter clone challenge Elon Musk? SvD’s tech analyst Björn Jeffery has tested the new service that launched last night and answers three questions about how it works.

Threads is Mark Zuckerberg’s and Meta’s latest app. Simply put, the app serves the same function as Twitter. Threads launches as an extension of Instagram, with the same login credentials.

If Instagram is about photos and videos, Threads is about text and discussion. Like other challengers such as Bluesky and Mastodon, the interface is to say the least familiar. Anyone who has previously used Twitter immediately understands how the service is meant to work.

The links to parent company Meta are almost invisible, aside from the extensive data collection — likely for future advertising — happening in the background. That data and the GDPR regulation are said to be among the reasons why Threads is not yet available in Sweden or the rest of the EU.

If there is one thing Zuckerberg’s Meta has been good at, it is copying from competitors. The app Snap has sometimes, somewhat cheekily, been called Instagram’s development department, the similarities have been so significant. The Reels feature that has been a success on Instagram is essentially identical to TikTok.

But not all copies have worked equally well. When Meta launched a clone of the audio app Clubhouse, it was a flop — and the original app has flopped too, suggesting the concept was simply wrong from the start. Twitter, on the other hand, is an established user behavior of more than 15 years.

Under normal circumstances it is difficult for apps that aim to challenge established giants. There are few reasons to abandon a service you are already used to. The similarity to the original also becomes the weakness — why switch if you already have a service that does the same thing?

Two things work in Threads’ favor in this case.

The first is timing. Twitter owner Elon Musk has been in almost constant turbulence over changes to his newly purchased product. There is skepticism, and some concern, that Twitter could deteriorate. The desire to carry on as before is therefore greater than ever, even if it means switching services.

The second reason is Meta’s scale and resources. In the first quarter of this year, Meta reached 3.8 billion people through one of the company’s services — Facebook, WhatsApp, Instagram, and Oculus. That is a head start that few others in the world can match. A single link from any of those services would bring millions of users directly.

Following the lukewarm reception of the “metaverse,” Zuckerberg has been forced to reduce the focus on his grand, game-like vision, at least in the short term. The metaverse investment remains, but is likely to take longer to break through than initially calculated. As a result, the product portfolio has been broadened with both AI initiatives and entirely new products, now including Threads. This allows the company to test more areas in parallel, while the larger metaverse can quietly simmer in the background.

Technically speaking, Threads is a walk in the park for Meta. The company could have launched the service at any point over the past ten years. But under the volatile leadership of Elon Musk, Twitter appears more vulnerable than it has been in many years. An alternative from Meta can therefore serve as a safe harbor. Meta is large, well-resourced, and long-term in its thinking. The timing is therefore perfect. And Threads looks set to become the biggest threat Twitter has faced so far.

Lina Khan has Silicon Valley trembling

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on July 3rd, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

34-year-old Lina Khan is the lawyer who has made Silicon Valley companies tremble. With a single article, she has turned how competition law is applied completely on its head.

“Do you ever get angry? Is there anything that makes you furious?”

The British law student Lina Khan was interviewing for a job at a think tank in Washington DC. Khan replied that she rarely got particularly angry. The interviewer said that the job — which she was about to get — might change that.

The think tank worked on competition issues and how market monopolies could both suppress wages and stifle innovation. Within just a year in the role, the promised anger began to emerge. Why were politicians doing nothing to stop this?

Khan channeled her frustration into a remarkable career — one that has come to redefine how the United States views competition policy.

Now — as head of the American competition authority the FTC — she is the gatekeeper who ensures that tech companies stay in line.

Microsoft’s $68.7 billion acquisition of Activision Blizzard? Khan sued Microsoft to try to block the deal.

Complicated subscriptions at Amazon? Khan sued the giant to make it easier for customers to cancel.

Meta has essentially stopped making acquisitions since Khan took office. It is generally understood that the chances of them getting a major deal approved are very slim.

Khan is a major force, and together with the EU’s Margrethe Vestager, she is one of the two people with the single greatest influence over the strategies of the tech giants.

It all started with a single article.

At 27, Khan was back as a student, this time at the prestigious Yale University. There she published an academic paper in the school’s journal, The Yale Law Journal.

The title was “Amazon’s Antitrust Paradox” — a nod to the 1978 book The Antitrust Paradox. In it, the lawyer Robert Bork argued, very simply, that the only thing that mattered in competition issues was whether prices went up for consumers. If they did not, there was no problem with competition or monopoly.

Khan’s article argued for the exact opposite.

Over nearly 100 pages, Khan described how even if consumers are satisfied, there can be problems in the longer term. For instance, the data Amazon collects could come to be worth more than if the company had charged more for its products. The consumer experiences no problem in the here and now. But over time, Amazon — with its data reserves — becomes so powerful that it may become difficult for others to compete.

At a time when tech companies were offering a great many services for free, this was a new and radical idea. The price that customers — and by extension, society — paid could come to be considerably higher than it first appeared.

Her position has its critics, of course. Within academia there are researchers who believe her article and definitions are flawed. But the biggest critics come, perhaps unsurprisingly, from the tech companies themselves.

Both Amazon and Meta have tried to argue that Khan cannot be impartial with regard to them, and should therefore not be permitted to participate in proceedings involving them. So far this has not succeeded — and Khan has held her ground.

Amazon is reportedly under investigation in the US for exactly these kinds of competition violations, though nothing official has been presented yet.

For a public official, Lina Khan has an unusually principled approach. In the US, potential competition violations must go through the legal system to have any effect. Generally, institutions like these do not bring cases to court unless they are very confident of winning.

Khan takes a different approach. She has said she may lose some of her cases, but that the process can clarify how this type of legislation should be applied.

While the US works through these questions, the market for large corporate acquisitions has come to a near standstill. The tech giants do not dare invest large amounts of time and money in major acquisitions that then risk getting stuck with competition authorities.

Lina Khan has even gone so far as to say she is looking at unwinding previously approved acquisitions. That could mean Meta might be required to sell Instagram, or that Google could be forced to sell YouTube.

The tech giants now follow everything that 34-year-old Lina Khan does and says. Since Joe Biden appointed her as head of the FTC in 2021, there has already been a wave of lawsuits and proceedings. But everyone knows that the really big cases are being prepared in Washington DC and have not emerged yet.

In the meantime, the big companies in Silicon Valley are on unstable ground — waiting for Khan’s next move.

More reality TV is coming — and less ‘Succession’

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on June 19th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

Fewer streaming services and cheaper programming — that is the future that awaits as high interest rates and inflation force the TV giants to cut costs.

“Max is the one to watch, because everyone in the family can see exactly what they want, whenever they want.”

David Zaslav, CEO of Warner Media Discovery, presented the company’s new streaming platform Max earlier this year. It was previously called HBO Max. And before that, there were variants called HBO Go, HBO Now, and HBO Nordic.

It has, as you can tell, been a bit chaotic. And it may get worse.

With his brief platitude at the opening, Zaslav — inadvertently — summed up the state of streaming services. They all now offer households exactly the same thing: “everything for the whole family.”

And there are good reasons to position yourself as the one service people need.

In times of inflation, consumers cut back on their subscriptions. A survey by auditing firm KPMG last autumn found that 20 percent of respondents were planning to cancel a streaming service. If inflation kept rising — which it did — as many as 37 percent would cancel one or all of their services.

It likely won’t be quite that dramatic. Television entertainment still has a good future ahead of it. But there is much to suggest that there will be fewer competing services — and cheaper productions.

Looking at the American market gives us a preview of what may also happen here in Sweden.

We start with Paramount+, which in a few weeks will merge with the service Showtime. This sounds more dramatic than it actually is. The two have the same owner — the equivalent service in Sweden is called SkyShowtime, to make it even more confusing.

Having multiple streaming services within the same corporate group was a phenomenon that belonged to the era of zero interest rates. Now consolidation is the name of the game.

The aforementioned Max is also itself a merger of HBO Max and Discovery+. It is part of a cost-saving plan of 32 billion kronor that the company is undergoing.

Disney has a similar deal on the horizon.

Disney currently owns two thirds of the American streaming service Hulu. The remainder is owned by telecoms company Comcast. That Disney will buy out the final portion is already decided — it will likely happen early next year. The question is more about what the price tag will be, and what happens after.

A likely scenario is that Hulu will then be merged with Disney+ to create a mega-service. There is also speculation that Disney might use such a deal as an opportunity to sell its third streaming service — sports channel ESPN+. If that happens, Disney would have only one streaming service left, compared to three today.

So it looks as though consumers will have substantially fewer — but larger — services to choose between.

That trend could become a challenge for local services, such as Sweden’s Viaplay. Following a profit warning earlier in June, CEO Anders Jensen was let go immediately, and the share price fell over 60 percent in a single day. Viaplay operates in 33 markets, but has relied heavily on local sports rights to attract customers in the Nordics. That could prove a tough strategy as sports prices rise and the paid streaming market slows in Sweden.

The next worry is profitability. Disney+ lost 4.3 billion kronor — just in this year’s first quarter. All the major streaming services — including Netflix, which promised it would never do this — now offer ad-supported alternatives. In more economically pressured times, viewers more often choose that type of subscription. Looking at all new subscriptions taken out in the US, ad-supported ones grew from 18 percent in 2020 to 32 percent in 2022.

More ads can also mean a different type of content. Internal cost pressure, a consolidated market, and a greater focus on advertising point to one thing: cheaper programming. Think more reality TV and less “Succession.” It is tried-and-tested, popular, and substantially cheaper than competing with too many expensive drama productions.

The last ten years have been a golden era for anyone who enjoys television and film. Never has so much good content been made available to so many, at such a low price. Now much points to that era being over. Time to prepare for fewer services, lower quality — and the occasional ad break.

Started at a dive — now worth trillions

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on June 8th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

The flamboyant visionary Jensen Huang likes to dress in black leather jackets. He is a rock star in the chip and semiconductor industry. Now Nvidia’s founder faces his greatest challenge — living up to the market’s expectations.

The black leather jacket is on. The grey hair is well-groomed. Jensen Huang steps onto the stage at the Computex trade show in Taiwan with a wide smile. The music playing in the background sounds like it belongs in a Star Wars film.

“We’re back! I haven’t given an in-person presentation in four years. Wish me luck!”

Jensen Huang likes to joke with the audience. During the pandemic, he filmed his company presentations at home in his kitchen and pulled new chips out of the oven. Even if it had been a while since he was on stage, it looks like home turf for him.

He has every reason to feel comfortable.

Huang’s chip company, Nvidia, is the central player behind the scenes of the current AI explosion. The company manufactures the hardware used to train AI models. And given the interest in AI, demand for Nvidia’s products seems almost limitless.

By the time Huang takes the stage, Nvidia has just crossed the coveted threshold of a market cap above one trillion dollars — that is, a thousand billion dollars.

Jensen Huang’s start in life was considerably more modest than that.

For a start, his name is not Jensen, but Jen-Hsun. He adopted the slightly Danish-sounding nickname to adapt to the United States, where he moved at the age of nine. His parents felt that their home country of Taiwan and their temporary home country of Thailand were politically turbulent. They decided to send Huang and his older brother across the Pacific to give them a different kind of life.

The Huang brothers ended up at a boarding school in the small town of Oneida in eastern Kentucky. The school belonged to the Baptist movement, and all students had dedicated duties beyond their schoolwork. Huang’s job was to scrub the toilets — every day. In an interview with American radio station NPR, Huang recounts that it was a tough school, where some children carried knives and fights often resulted in someone getting hurt.

“In the end, I loved my time there. We worked very hard, we studied very hard, and the other students were very tough,” Huang told NPR.

He describes taking away a work ethic and experiences he could build on.

Huang went on to university to study electrical engineering. He earned a master’s degree from the prestigious Stanford, and then worked in the surrounding Silicon Valley.

At 30, he did what so many around him were doing — started a tech company. At a run-down restaurant, he founded Nvidia in 1993, alongside two friends.

The insight behind the company was that the future would require better computer graphics, but that the hardware to enable this was not yet available. The thesis proved correct, and Nvidia found success by beginning to manufacture graphics cards for PC computers.

The focus on graphics made them popular among gaming enthusiasts. In a 2002 interview in Wired magazine, a game developer described how Nvidia’s graphics cards played a large part in the success of Microsoft’s Xbox gaming console.

Gaming components are a large market in themselves. But the idea of using them for entirely different purposes was the real breakthrough.

Nvidia expanded its portfolio to what are called GPUs — graphics processing units — a type of chip capable of handling multiple calculations in parallel. In 2007, the company developed software that allowed these GPU chips to be used in far more areas than just graphics. With this insight, the potential market had multiplied overnight.

Since then, Nvidia has been part of several major technology shifts, particularly those requiring significant processing power.

The chips are used, for instance, in the new supercomputers that produce advanced weather forecasts and conduct research in chemistry and physics. They can also facilitate the production of cryptocurrency, in the process known as “mining.” Being exposed to new technologies does come with risks, however. When the cryptocurrency market plunged sharply in 2018, Nvidia ran into trouble as demand for their products fell steeply — and quickly.

Now the AI hype has taken over where crypto left off. Suddenly the company’s products are being mentioned by companies like Alphabet, Google’s parent company, when they present their quarterly figures. More people than ever are interested in what components are under the hood of computers.

Huang therefore faces what may be the greatest challenge for him and the company: managing the world’s expectations.

Nvidia trades at a P/E ratio of around 200 and is priced at over 37 times revenue. Comparable figures for industry peer Qualcomm are around P/E 12 and 3 times revenue. Qualcomm does have a different strategy, primarily focusing on other types of components than Nvidia. It is an enormous success already priced into Nvidia’s stock — and a strong belief in continued demand for GPU chips.

The market has spoken — it believes in continued success for AI, and through that, for Nvidia. Huang is the visionary who was right in his initial prediction, and who managed to rebuild the company into something that now creates the infrastructure for the greatest technology shift of our time.

Having the right vision is not enough, however — you also have to be able to deliver on it. The market expects flawless execution. The pressure is now on Jensen Huang. Can he make Nvidia the next tech giant?

Apple’s Reality Pro headset: the question isn’t the hardware — it’s what we’ll do with it

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on June 3rd, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

On Monday, the tech world’s worst-kept secret will be revealed. Apple presents its new headset — its first major product launch in nearly a decade. Can Apple breathe life into yet another dormant market?

On a sunny Sunday morning, Sergey Brin sits eating at a popular brunch spot in Potrero Hill, San Francisco. The Google co-founder attracts little interest from the other diners — they’re used to seeing tech billionaires.

This morning, however, there is one thing that makes Sergey Brin stand out. He is wearing Google Glass — the company’s new smart glasses. They consist of a pair of thin metal frames, with a large, visible camera on one side. They look, to say the least, strange. But it’s the mid-2010s, and the promised future of what will come to be called MR — mixed reality — is beginning to take shape. MR is conceived as a kind of digital layer over the real world. But does that mean everyone will walk around with cameras on their faces?

Fast-forward to mid-March 2023 and we have our answer.

The enterprise version of Google Glass is shut down entirely. The consumer version was even shorter-lived. Nobody seems to want to wear this type of product. Or at least there haven’t been sufficiently compelling reasons to do so.

That is the challenge Apple is now taking on. They are launching a new kind of hardware to wear on your head, to access a type of digital experience you’ve never tried before. It may be difficult.

Rumors suggest the product will be called “Reality Pro.”

On Monday, Apple’s annual developer conference WWDC begins. Attending it is almost a pilgrimage for developers who work with Apple’s products. The purpose is to introduce new hardware and software that the company wants developers to work with. This is the time of year when Apple is most accessible through presentations and meetings. Everything suggests Apple’s new MR headset will also be unveiled on Monday.

According to the Wall Street Journal, the company has been working on the product for seven years. In that time, Apple has watched both the failure of Google Glass and Meta’s major push with its Quest headsets — and the lukewarm reception of the “metaverse.”

The concept of a “physical face visor that delivers digital experiences” is therefore not new. But Apple has rarely been first with this kind of product. The iPhone, for example, was not the first smartphone on the market.

The difference has been Apple’s impact when it does launch.

A clear example is the success of Apple Watch. No competitor in the category even comes close. Samsung — which released its first smartwatch the same year as the Apple Watch — has less than half the market share.

Apple’s presence in a market has a tendency to both legitimize it and attract attention and investment. The ability to build apps for the iPhone launched an entire economy of hundreds of thousands of companies working on the platform. This effect extends beyond Apple’s own products. Google, with its Play app store, has undeniably benefited from Apple’s presence, even as a day-to-day competitor.

For one particular competitor — Mark Zuckerberg at Meta — Apple’s entry into the MR market could be bittersweet.

Zuckerberg’s much-questioned metaverse vision may get a boost in attention. At the same time, he faces stiff competition from a longtime rival in this new territory as well.

Being late to the market doesn’t mean all the problems have been solved, however. The underlying and unanswered question remains: what are we actually supposed to do with these headsets? Use them for work? Play games? How Apple addresses that question is the most interesting aspect.

Rumors suggest the product will be called “Reality Pro” and that you’ll be able to make video calls, read books and play games with it. That’s all well and good, but all of this is already possible today with other devices — and done well.

The rumored price tag gives us some indication of how Apple is thinking. The product is said to cost around 32,000 kronor — not exactly a signal that it’s ready for the mass market. It will instead be a product that developers can begin experimenting with, and one that is almost certainly far more advanced than anything the market has seen before. Anything less would be surprising, given Apple’s history.

And time is on their side. As the world’s highest-valued company, they can afford to wait for the right use case to emerge. Can Apple awaken — and redefine — this market too?

OpenAI’s Sam Altman is on a well-choreographed charm offensive

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on May 26th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

OpenAI CEO Sam Altman is on a charm offensive among politicians and journalists. He says he wants AI development regulated to avoid a future crisis. But his motives may not be entirely noble.

Neat tie, dark blue suit, Sam Altman settled in front of the microphone.

“It’s an honor to be here. Perhaps even more so than I expected,” he said, with a slightly lopsided smile.

“OpenAI is an unusual company. We created it that way because AI is an unusual kind of technology.”

Several things were unusual that day.

The CEO of OpenAI had been called before the American Congress. It’s a familiar scene by now. “Tech executive questioned by politicians” has played out many times.

This time, however, it sounded a little different.

What usually becomes a rhetorical pie-fight — complex questions reduced to simple yes/no answers — turned, surprisingly, into a more thoughtful hearing.

Josh Hawley, a Republican senator from Missouri, wondered whether AI development was more like the printing press or the creation of an atomic bomb. The formulation didn’t seem designed to score political points. He genuinely seemed to wonder how this was all going to turn out.

The room looked to the 38-year-old Sam Altman, whose official nameplate on the podium listed him as “Samuel.”

But why are America’s leading legislators sitting and listening to him?

Even if Altman’s name is unfamiliar to most people, he is effectively royalty in Silicon Valley.

He took the classic entrepreneur’s path via Stanford University, dropped out after a year, and started a mobile social network he called Loopt. That was in 2005 — two years before the iPhone launched — and Altman managed to raise around $30 million in venture capital. Loopt never really took off. In 2012 it was sold to a credit card company for $43.4 million. That may sound like a lot of money, but by Silicon Valley standards, it was a defeat.

Altman moved on to the well-known company incubator Y Combinator, where he quickly became a partner. Y Combinator had grown from a small operation in Mountain View sharing an office with a robotics company, to becoming one of the central hubs of the new startup era in the region. Companies like Stripe, Dropbox and Airbnb passed through the incubator, and in a 2015 blog post Altman wrote that the combined valuation of all the companies in the program had reached $65 billion. Y Combinator co-founder Paul Graham was seen as a king in Silicon Valley — which made Sam Altman something of a crown prince.

He was not yet an AI expert, however.

Y Combinator invested in companies across every conceivable domain — from storage services to electric aircraft to social networks. Sam Altman became co-chairman of the research project OpenAI. Y Combinator’s other co-founder, Jessica Livingston, was also one of OpenAI’s founders, so the two were already connected in a way.

The project was not without controversy. Another of OpenAI’s founders, serial entrepreneur Elon Musk, resigned from the company’s board in 2018 — citing, in his own words, potential conflicts of interest around Tesla’s own AI plans. Altman, however, claimed that Musk had tried to take over OpenAI and that the board had rejected this. The following year, Altman himself stepped up to become OpenAI’s full-time CEO.

In parallel with this came a major restructuring of OpenAI’s corporate form. From being an American nonprofit, OpenAI became a commercial company. The stated reasons were several, but primarily they needed to attract both investors and employees who could share in the company’s success. Recruiting world-class talent without being able to offer equity was too difficult, it was said. Outsiders — including Elon Musk — expressed skepticism about those reasons. Nonprofits don’t necessarily struggle to attract talent.

The result was a kind of hybrid. OpenAI became a commercial company that would maintain the original nonprofit’s goal of developing general artificial intelligence that benefits humanity. That may sound like a technicality, but this hybrid status would prove to be an important part of the position OpenAI would come to occupy.

Back, then, to the question of why Altman is in Washington educating politicians.

Senator Richard Blumenthal put his finger on what’s at stake in a broader sense, in his opening remarks about the intersection of politics and technology:

“Congress has a choice. We had the same choice when we faced social media. We failed to capture that moment.”

AI has become an important issue — and a source of anxiety. Open letters call for pausing AI development. Eminent researchers like Dr. Geoffrey Hinton — often called the godfather of AI — begin expressing concern about their own life’s work.

AI development stands at a crossroads. Politicians are somewhat confused, but they don’t want to repeat the same mistake that gave a handful of social media companies essentially free rein for over a decade.

Altman understands this. And you can understand his methods by reading his own blog post, modestly titled “How to be successful.”

“Believing in yourself is not enough — you also need the ability to convince others of what you believe,” Altman writes.

“My second major sales tip is to show up in person when it matters.”

That’s why Sam Altman shows up in person at the US Congress.

Because it matters that the politicians understand these issues — in the right way.

He also has OpenAI’s quasi-nonprofit status to lend him credibility. The message seems to be: he’s not here for the money. That Microsoft has invested $11 billion in the company is not something you bring up loudly in these settings.

But the information campaign aimed at elected officials didn’t begin with the congressional hearing. In the podcast Hard Fork, New York Times journalist Cecilia Kang reports that Altman has visited Washington DC multiple times and that, the same week as the congressional appearance, he attended a dinner with over sixty members of the House of Representatives. He has given technical demonstrations to individual politicians to explain how it all works. In short, he has made himself available to lawmakers in a way that is unusual. Silicon Valley generally keeps to its own coast and only comes east when absolutely necessary.

Most concerns about AI development are still hypothetical. Compare this to Mark Zuckerberg, who was summoned to explain the Cambridge Analytica scandal — and called back multiple times since. The situation here is nearly the opposite.

Altman is getting ahead of the problems, rather than being dragged before Congress because of them.

Even if the timing is different, there are many similarities to the kind of language we’ve heard from tech company leaders before. Altman is asking politicians to regulate AI. But he is neither the first nor the only one to do so.

Back in 2019, Facebook’s then-COO Sheryl Sandberg said “new rules need to be written for the internet and we want to help make that happen.” The following year, Alphabet CEO Sundar Pichai said “companies like ours cannot simply build promising technology and let market forces dictate how it gets used.”

“Technology needs to be regulated,” Apple CEO Tim Cook told Time in 2019. “There are too many examples where lack of regulation has resulted in real harm to society.”

Almost every chief executive of a major tech company has, on multiple occasions, said they welcome regulation. Yet billions have been spent on lobbying to make sure it happened in the right way — and preferably very slowly. American regulation has largely failed to materialize, and the European process took a very long time. From that perspective, the lobbying appears to have worked quite well.

There are, however, other motives for requesting regulation beyond slowing or softening legislation.

Altman says his motivation is concern that AI could cause harm in the world. But a less noble explanation than the one he gave Congress can be inferred from a leaked memo written by a Google engineer. In it, the memo describes how the real threat in AI — from both Google’s and OpenAI’s perspective — does not primarily come from other large tech companies. The threat comes from the many projects using open source. These projects aren’t as powerful as the largest and most expensive systems, but the results are surprisingly good. And, more importantly, they are free. The growing use of these open-source projects will also improve them further over time. What happens to competition when there are hundreds or thousands of AI developers, rather than just a handful?

When Sam Altman proposes a licensing regime for AI development, you should keep that argument in mind.

Like Facebook and Google, OpenAI developed its market lead in an era of minimal regulation. In many cases, practically none at all. Facebook would find it substantially harder to push through its acquisition of Instagram if it happened today. Competition regulators have woken up to these questions in a way that simply didn’t exist before.

If tech companies are regulated now, you can get the best of both worlds: the ability to grow freely in an open market, combined with the ability to close off competition by loading new entrants with a mass of regulatory requirements. Being large and well-resourced — as Google or OpenAI are — means you can afford to absorb regulation. For a smaller startup, it’s an entirely different kind of challenge.

Regulation becomes a way of defining what all market participants are permitted to do. But it also works to keep new entrants out.

From Altman’s blog post on how to become successful, again:

“Building up influence makes you hard to compete with. You can do this, for example, by having good relationships, a strong personal brand, or by becoming skilled in areas that overlap.”

Altman appears to have taken his own advice to heart.

He has built political relationships that have made him popular among lawmakers. He is knowledgeable, articulate, and clear-headed about AI. He understands the context he’s operating in.

Listening to Sam Altman himself, that is also the recipe for becoming hard to compete with. And it explains why this Silicon Valley executive is playing his cards differently from his predecessors.

The opportunity now exists to set the tone for an entirely new market — one in which his own OpenAI sits in the driver’s seat. It is, to say the least, elegant. But it is not only noble motives and a desire to improve the world that lie behind the charm offensive currently underway.

Google’s answer on AI is logical — but hollow

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on May 16th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

Google is positioning itself as the responsible player in artificial intelligence. It sounds good. But the stance could become complicated as competitors pick up the pace.

There was no rock band performing. It was more like a tech festival — with AI as the theme.

The stage at Shoreline Amphitheatre in Mountain View, California, was unusually colorful when Google CEO Sundar Pichai stepped up.

Google’s annual developer conference, I/O, tends to be a fairly sleepy affair. A raft of internal projects is presented at an event aimed primarily at the developers who build on Google’s products.

For the average user, the presentations can easily feel a bit too technical and inward-looking.

This time, however, there was a theme the outside world was genuinely interested in. AI — artificial intelligence — is on everyone’s lips, and now we would finally learn how Google planned to respond to the threat from products like ChatGPT.

It took only a few minutes into Pichai’s presentation before the key word was uttered: “responsible.”

“With a bold and responsible approach, we are reimagining all of our core products — including Search,” Pichai said.

It has now been seven years since he declared that Google would become an “AI-first company.” But if that was the case, how had they ended up falling behind in this latest boom? The apparent internal answer seems to be precisely that Google has been more “responsible” than the rest. The phrase recurred many times throughout the presentations.

To understand where this framing of responsibility comes from, we need to rewind a little.

On the same stage in Mountain View in 2018, the same presenter — Sundar Pichai — demonstrated how an AI tool could phone a hair salon and book an appointment, apparently without the hairdresser realizing she was speaking with a robot.

The reception was cool. Professor and columnist Zeynep Tufekci described it as an example of Silicon Valley having lost its ethical bearings.

Two years later, Google found itself in controversy again, after firing researcher Timnit Gebru. She had led a team examining the ethics of AI and the potential consequences of its development.

Gebru was also co-author of a research paper that a Google manager objected to. The dispute couldn’t be resolved, and Gebru was let go.

The summer of 2022 brought the next headache. Google employee Blake Lemoine claimed that one of their AI language models, LaMDA, had expressed itself in human-like ways. Had the technology gone too far? Lemoine was subsequently fired.

Seen in this light, the word “responsible” becomes more legible. Google has been at the forefront of these questions, but has also run into difficulties navigating the complicated territory between AI technology and ethics.

Google now wants to communicate that it hasn’t been slow — but rather has been taking responsibility for a more careful approach to progress in the field.

The timing, however, argues against this framing.

At the end of January, Google’s leadership declared a “code red” after ChatGPT’s immediate global success. Suddenly there was urgency — even Google’s co-founders Larry Page and Sergey Brin were brought in to work on the AI strategy.

For a company that had claimed for seven years to prioritize AI above all else, everything now had to happen at once. It looks rather more like competition accelerating the product roadmap than any sudden resolution of ethical questions.

Around this time, AI heavyweight Dr. Geoffrey Hinton chose not only to leave the company but to publicly warn about the pace of AI development.

Positioning around a specific concept is a familiar strategy. Apple’s emphasis on privacy — “privacy” — has not gone unnoticed by anyone.

But Apple’s privacy commitment has genuinely dented competitors. It’s hard to see how Google’s “responsibility” framing could have the same effect.

Responsibility is also a relative concept. When have you taken enough? And does it extend so far that you would sacrifice good business for what others consider to be the right thing? These are the questions Google will face as AI development accelerates.

Being responsible is — and sounds — good. But it’s easier to say than to be. Especially when things are moving fast and the competition is breathing down your neck.

Bluesky is the internet’s latest hype — and social media challengers rarely break through

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on May 9th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

Twitter challenger Bluesky is the internet’s latest hype. But don’t count on it succeeding. There are good reasons why new social media platforms rarely manage to scale.

Anyone who has ever been to a nightclub is familiar with the concept of “the queue.”

The logic is simple and well-tested. You keep the line outside deliberately long to create the impression of popularity. If that many people are waiting to get in, surely it can’t be bad? Until you finally make it inside and discover the place is empty — more guests on the outside than the in.

That, roughly speaking, has been the marketing strategy for most new social media services that have launched. Remember the audio app Clubhouse? That’s exactly what they did. And now it’s happening again: over a million eager users queuing for access to Bluesky, the new Twitter challenger.

In the wake of Elon Musk’s takeover of Twitter, a slew of alternatives to the text-based social network appeared. The technically complex Mastodon, Donald Trump’s Truth Social, and Bluesky — which comes from Twitter co-founder Jack Dorsey himself, launched during his own time as Twitter’s CEO, no less.

A charitable interpretation would see this as an attempt to correct the mistakes Dorsey made with Twitter the first time around. A more critical reading would point out that it’s precisely all the similarities to Twitter that are the problem.

Because Bluesky is — intentionally, of course — very similar to Twitter. It says “reposted” instead of “retweeted,” but an untrained eye would barely be able to tell the two services apart.

Those similarities also mean that the same types of challenges are likely to arise.

The spread of misinformation, harassment, and automated bots have been difficult problems for Twitter to solve for over a decade. Even knowing in advance that these issues will emerge, there are no obvious solutions to them.

Like Clubhouse — which rose like the sun and set like a stone — Bluesky will likely struggle to maintain the atmosphere that exists with around 50,000 users once that number grows tenfold or a hundredfold.

A large part of the challenge in the social media category lies precisely in scale.

Imagine hosting a dinner party for a handful of guests. It’s pleasant but fairly predictable. You know who’s coming and you know, more or less, how they’ll behave. Now compare that to running a restaurant with 300 covers. You can prepare, of course, but things will happen that you didn’t anticipate.

That’s why it’s misleading to look at the temporary success of small social media challengers. Succeeding in the genre with a small number of users is an entirely different kind of challenge.

Scale also attracts actors with intentions other than making new friends or posting cat videos. The state-sponsored disinformation campaigns that have made headlines arise wherever there are large numbers of people to influence.

Is there nothing genuinely new about these challengers? Bluesky and the similar Mastodon both emphasize one aspect that differs from Twitter: control over the platform and ownership of your own content.

Bluesky is decentralized, meaning each user can take their content with them and switch to a different provider. This sidesteps the monolithic — and, since Musk took over, constantly shifting — rulebook that Twitter operates under. If the rules don’t suit you, you can move elsewhere, or start your own version.

Here, however, we encounter another truth about social networks. Users choose the path of least resistance. You can configure extremely specific settings on Facebook that control exactly which friends see which content. But how many people actually do that?

Being able to float freely in a decentralized world is theoretically possible — but the vast majority of users will never even understand why they might want to.

Bluesky does one thing very well. Like the nightclub with the long queue, it creates a feeling of wanting to belong. The demand is so intense that invitations are being sold on eBay. But once you’re inside, you’ll likely discover what always turns out to be true: it looked better from the outside than it actually is.

Nvidia is winning the generative AI gold rush

SvD Näringsliv

This analysis was first published in SvD Näringsliv, in Swedish, on May 8th, 2023. This piece was translated from Swedish by Claude. Some phrasing may differ from a human translation.

Behind the hype — and the anxiety — surrounding next-generation AI lies a simple question. Who controls the essential hardware? The answer has geopolitical implications.

Should you mine for gold yourself, or sell pickaxes and shovels to those who do?

The question from the gold rush era keeps returning to California. What was once a literal business opportunity in 1848 has become a metaphor for a particular kind of business model — one that enables other companies to succeed.

Now the next gold rush appears to be starting: the explosion of artificial intelligence. And it has focused attention on a specific type of computer chip required to perform the most advanced calculations. Put simply, without the right chip, large-scale AI doesn’t happen.

At the center of this accelerating trend are companies that were previously consigned to being under the hood — invisible, but entirely essential. No company has benefited more from this moment than American chipmaker Nvidia.

Nvidia’s involvement in the AI segment started early. Geoffrey Hinton — often called the “godfather of AI” — built a product back in 2012 that performed advanced image recognition: software that can understand what a photograph depicts. The results were seen as a major breakthrough in AI, and underpin products used by millions of people today.

According to Hinton, it would not have been possible without Nvidia’s chips. Those chips weren’t originally designed for this purpose — they were primarily used for video games. But their architecture turned out to be particularly well suited to this new application as well.

Looking at the most discussed AI product today, ChatGPT, it is believed to have been trained using 10,000 GPU chips from Nvidia. When Sundar Pichai, CEO of Google’s parent company Alphabet, recently presented his quarterly results, he explicitly cited his company’s access to Nvidia chips as a competitive advantage.

The attention has translated into financial results. Nvidia’s share price has risen nearly 100 percent so far this year. Compare that to rivals Intel and Qualcomm, which are up 11 and 8 percent respectively.

The enormous demand for this type of chip is now creating complications.

Early in the pandemic, there was a major shortage of a different kind of chip — semiconductors — which led to delays in everything from cars to consumer electronics. That shortage has since been resolved, partly due to lower demand.

The constraints on AI-grade chips stem from the fact that their manufacture is extremely advanced, and only a handful of actors globally can produce them. Nvidia doesn’t fabricate its own chips; it uses suppliers for that. Among them is Taiwanese company TSMC — also the world’s largest semiconductor manufacturer.

Securing access to the right type of chips is becoming a geopolitical question.

Today, China spends more money importing various types of chips than it does importing oil, according to the book Chip War by Chris Miller, professor of history at Tufts University. China is also attempting to circumvent the American blockade on certain chips by renting access rather than importing them outright.

Both the US and EU have launched initiatives to bring more chip manufacturing to their respective regions. The European Chips Act is one such effort — committing roughly 490 billion kronor to increase Europe’s share of global chip production from 10 to 20 percent. The American equivalent, the CHIPS and Science Act, is similar in ambition and scale.

While manufacturing is concentrated among a handful of global players, chip design — how the chip actually functions — is becoming an increasingly important competitive differentiator. Apple is the clearest example of a company that has shifted strategy, moving away from off-the-shelf chips in favor of custom-built variants engineered for specific functionality. Apple’s new chips are notable in particular for their ability to perform AI calculations on-device.

Amid the explosion of AI products, there are more fundamental questions beneath the usual ones about ethics and existential risk, about who owns AI models and the concentration of power in the field.

Under all of that lies a very simple and practical question: who has access to the right physical chips? Because access to hardware may prove to be a decisive factor in how advanced an AI you can develop. It’s easy to understand why politicians, companies, and entire countries are starting to get nervous.