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Amazon CTO Werner Vogels’s 2026 tech predictions include the ‘renaissance developer’

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Several years ago, Amazon Chief Technology Officer Werner Vogels began sharing predictions on how technology would likely impact our lives the following year. In the past, he has foreseen the impact of digital technology in sports, of AI assistants in developer productivity, machine learning embedded in production lines, and ‘fem tech’ on women’s health. 

As CTO of Amazon (No. 2 on the Fortune 500) since 2005, he occupies a unique perch to see and even shape what’s next. Vogels also has a vested interest, of course, in embracing the technologies that his company creates. In this year’s forecast, Vogels predicts 2026 will be the year in which “interdisciplinary cooperation influences discovery and creation at a pace we haven’t seen since the Renaissance.” He sees technology becoming a force that will reduce loneliness, empower a new breed of developers, accelerate personalized learning, and spawn military technology that will quickly cross over to areas like health care. On a more cautionary note, he warns that breakthroughs in quantum computing will force a shift in how we handle cybersecurity.

Vogels’s 2026 predictions:

  • Companionship is redefined for those who need it most
  • The dawn of the renaissance developer
  • Quantum-safe becomes the only safe
  • Defense technology changes the world
  • Personalized learning meets infinite curiosity

Vogels spoke with Fortune about the thinking behind this year’s predictions. 

This interview has been edited and condensed for clarity.

Going through some of your past predictions, this set feels a little more somber this year. Is that fair to say? 

I understand what you mean, but I do find that there is quite a bit of positivity in there. I think that the personalized learning one is a very interesting one. And I do think that the way that developers are going to change is a very positive thing. 

You phrase it as the ‘dawn of the renaissance developer.’ What is that?

The Renaissance came after—what was it?—1000 years of the Dark Ages. The tools that were developed in those days were just incredible and I think that we’re going to see a similar kind of evolution, with more people inventing new technologies but also new applications. 

I know loneliness sounds negative, but we’re getting older and the younger generation doesn’t want to take care of their parents so technology can help. Japan has really been inventing in that space.

Japan has been a first mover, given its demographics. As you point out, technology can also cause loneliness. Can it help younger generations, too?

Definitely. Younger people with autism, for example, have trouble touching other people but don’t have any trouble touching a mechanical device. The way that they communicate with that device is way more natural than how they communicate with adults or parents. Given my own background in the medical world, [Vogels previously worked in both health care and academic research, plus a startup, prior to joining Amazon in 2004] I’ve seen in the past how hard it was for kids to talk to a doctor. Having this huggable device with them gives them a lot more confidence to express what they’re feeling.

Amazon has built this little robot [the Amazon Astro] that can take on a lot of tasks but also goes looking through the house for you to ask you if you’ve taken your medicine. There’s a lot of things that go beyond loneliness. 

There’s some concern that, with AI therapists or friends, people may find it easier to engage with a machine versus another human being. How do we make sure that technology doesn’t become a substitute for human interaction?

This is not my biggest concern. I’ve seen people prepare themselves before they go to a therapist by talking when there is nobody in the room. We can say whatever you want, and this device won’t judge you. A concern I have is that there may be companies in the future that will use these devices as advertising that suggest to you to buy product X, Y or Z. Given the amount of trust that you put into this device, that’s a big risk. We need to really be aware of that and either try to avoid it or detect it.

We already have advertising in our ambient world, especially with smart homes. Does it really matter if our robots also express some of those things that our fridge, our stove and our phones are already telling us?

I would have a different level of trust with devices that are there to help you with your loneliness or with your disease. I remember a guy in the early stages of dementia who could see that his caregivers were getting frustrated, because he kept asking, ‘What day is it today?’ The moment he got an Alexa, he only needed a sticker on it to say that she’s called Alexa, and he could ask her anything and Alexa would never get annoyed at being asked the same thing 10 times. There’s so much to help those who are suffering.

Do you worry about our ability to connect as human beings? 

I have a great trust in humans. We enjoy social contact. I saw Jensen (Huang) recently and he was asked the question: Will AI eventually take over? He said, in some of our jobs, 10 to 20% may go to AI; in some of our jobs, it could be 50% but probably that’s it. As a job taker and as an efficiency tool, absolutely. As a social tool, no. We’re having a conversation, and we’re enjoying that, triggering parts of our brain that normally don’t get triggered. We are social animals. 

Let’s move on to your optimism about developers. 

The tools won’t take over. It is still our creativity, our understanding of the bigger picture, that will never be taken over by tools. A little task can be completed automatically. Systems consist of hundreds, if not thousands, of tasks. We are going to find new and better ways to design our systems, but there is still a significant human part in there.

There are people like you, who have a deep embedded knowledge of tech, as opposed to people like me, who now think we can vibe code our way to the next big thing, right?

If you want a one- or two-page website with a little database and you’re not terribly concerned about security; what would normally have taken you three weeks, now takes two hours? Absolutely. But that’s not what I want the guys in my bank to do. I want them to be deeply expert, both on the tech side as well as on the financial side, and understand how these things communicate with each other. 

When you think of health care or financial systems, tools are strictly controlled through regulatory requirements. If something goes wrong, you can’t come to the regulator and say, ‘That was AI. That was not me.’ As such, I do think that there are things that we’ve done for years and will continue to do them. The fundamental skills for developers shouldn’t disappear. 

In the past, we rewarded developers who had one really good skill, let’s say back-end developers. You still need to have this deep background, but you also need to understand what your technology is being used for and that is absolutely a renaissance approach. You need polymorphs like Da Vinci. It’s no longer enough to know one thing, you need to understand in what context this is happening, systems thinking. How do we create feedback loops? How do we make sure that, if you have all these different pieces, we make sure that if something happens here, it doesn’t go down the drain there? 

That ties to your prediction about personalized learning-meets-infinite curiosity. People worry about AI users outsourcing their analysis and the sort of systems thinking that you’re advocating for.

I hope that with technology, we can bring more individualized learning to people. Our current educational system is driven towards conformity. Everybody needs to do the same thing. Creativity gets lost. Curiosity. We hammer that out of our children. We have all different interests, different capabilities. You need to educate kids on how to use these tools in order to unleash their potential. 

Do you think this is a pivotal year for quantum?

Yes, but not necessarily for the quantum devices itself. We need to realize that bad actors are harvesting our data, not because they can decrypt it already now, but in four or five years they will. Everything you have encrypted now can be decrypted in five years’ time. Amazon has open-sourced technology such that you can encrypt your data so it will be safe on the quantum. The biggest challenge is not the big companies that have CIOs and CTOs and tons of developers, but all the home devices we have. How often have you updated the operating system on your home device? On my TV, never.  There are major risks in the future if we do not address the quantum issue of encryption.

I’m curious about your prediction that we’ll see a compressed timeline from battlefield to civilian applications of defense technology. How transformational is that?

There are things in our civil world that would never have reached us if they had not been defense technology first, including the internet, GPS, the EpiPen. Usually it takes years to get the cost reductions and technology to be commercially viable. We’re now seeing a lot more military investment, and we’re seeing some defense companies start to operate more like tech startups than traditional defense contractors. 

You’ve been CTO since 2005. How has your role or your mission evolved?

When I joined Amazon 21 years ago, there were different roles for CTOs. There are CTOs that report to the CIO and manage data centers. Startups sometimes have a CTO as their first employee and coder. I actually think CTOs are horrible managers. You should never put a CTO in charge of people.

Why not?

VPs of engineering wake up in the morning, thinking ‘Do I have the best team in the best situation? Can I shield them from all the things that are politics and stuff like that? The CTO thinks about, ‘What’s the next technology that we should be building?’ Actually, that was my role for many years within Amazon. Then you become a technology provider, and then your role changes again. You have to understand how your customers are actually using your technology. What kind of problems are you hearing from five or six different customers that are all the same, and you should be building technology for that.

What are you seeing that excites you?

I travel quite a lot because I like to know not only how the U.S. companies are using us, but how people in the Philippines and elsewhere use us. I’m seeing many young businesses that aren’t interested in becoming unicorns. They’re really interested in solving hard problems, things they saw in their own neighborhoods. In Kenya, for example, sometimes people make enough money for food but don’t have money left for the gas to cook it. So this young business, KOKO Networks, built a sort of ATM machine where you can go with a canister and put in 10 cents worth of gas. That interests me tremendously. How can we solve some of the world’s hardest problems by using technology? Especially in Africa, I’ve met so many motivated engineers that don’t want to come to the U.S.. They don’t want to go work for a large company. They want to solve the problem in their country. I love that. That’s where the real progress lies.



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Trump says Mark Zuckerberg showed him a ‘Manhattan-sized’ AI data center

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President Donald Trump gave a surprise shoutout to Meta CEO Mark Zuckerberg after his address at the World Economic Forum Wednesday. At a Q&A after the address, Trump recounted a moment when Zuckerberg displayed a map of a proposed AI data center facility overlaid against Manhattan. The project’s footprint, Trump noted, appeared to swallow the entire island.

“Mark Zuckerberg showed me a plant where he put it over a map of Manhattan, and it was basically the size of Manhattan,” Trump told the crowd of global elites. “I said, ‘You’ve got to be kidding.’ It was miles long, miles wide, and very high. It literally covered most of the island.”

Meta’s stock jumped 1.6% after Trump’s statement, paring gains to 0.9% as of press time.

While Trump referred to the project as a “big plant,” he could have been referring to Meta’s Richland Parish “Hyperion” AI data center campus which is currently rising in Louisiana and is set to open in 2030. The massive industrial undertaking comprises 2,250 acres—a land mass equal to roughly 1,700 football fields. Once Meta completes the build, the campus will house 4 million square feet of data center space, making it one of the largest silicon clusters on Earth. However, that 4 million miles is much smaller than Manhattan’s 22 million square miles; raising questions about whether Trump was referring to a much larger project being built by Zuckerberg. 

Trump also marveled at the project’s $50 billion price tag, contrasting the staggering investment with traditional real estate, harkening back to his past life as a developer. That $50 billion matches the projected cost of building the Hyperion data center campus.

“If you spend $500 million, you can build a good shopping center,” Trump remarked. “But how do you spend $50 billion? When I looked at this thing, I understood why.”

Meta is currently transitioning from a social media company to an AI infrastructure giant, raising its capital expenditure guidance for the 2025 fiscal year to nearly $72 billion, 70% more than the previous year. Looking into 2026, Zuckerberg has warned of “notably larger” spending, with market analysts projecting that annual outlays could surpass $100 billion.

The president said that AI is “massive” and driving a rapid demand for energy that requires a shift in policy. Recognizing that the aging U.S. electrical grid cannot support the two-to-five gigawatts of power that these “titan clusters” require, Trump ordered the government to step aside during his speech. He told the Davos audience that he has authorized AI companies to act as their own private utilities.

So far it seems that under this new framework, tech giants will build their own on-site power plants using natural gas, coal or oil. Trump promised to slash the bureaucratic red tape that usually bogs down such projects, making them drag on for four or five years. Instead, he pledged to deliver federal approvals for these private energy plants in just two weeks, as long as the companies build their “own electric generating plants.”

“You people are brilliant. You have a lot of money,” Trump said, addressing the tech executives in the room, egging them on to start building their own plants. 

This industrial blitz serves as the President’s primary leverage ahead of his planned state visit to China in April. Trump has argued that American leadership in AI depends on physical infrastructure rather than just software, and said Chinese President Xi Jinping respects this rapid industrial execution.

“I’ve always had a very good relationship with President Xi,” Trump said. “But we’re leading the world in AI by a lot because I’ve allowed these big companies to build their own electric capacity. We’re creating more energy than any country anywhere in the world.”

China and the U.S. are widely seen to be neck-and-neck in the AI race, with each country emphasizing their own strengths to best the other. The U.S. leads China in AI talent, investment and access to semiconductors, while China has the U.S. beat on AI-related infrastructure, according to a recent Morgan Stanley report. China is just “months” behind the U.S. in terms of model quality, Demis Hassabis, the CEO of Google DeepMind told CNBC.

The same day Trump was speaking in Davos, Nvidia CEO Jensen Huang dismissed fears of an AI bubble while discussing China’s progress. The release of DeepSeek in 2023, in particular, he highlighted as a “major breakthrough.” Huang called China’s advance in this regard “a huge event for most of the industries, most of the companies around the world, because it’s the world’s first open reasoning model.” Since then, he explained, many open reasoning models have emerged, enabling researchers to create something that’s domain specific or specialized for their needs. In the U.S., Mark Zuckerberg has stood out for his own commitment to open-source AI models, citing DeepSeek as a model in particular.



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Nestled in the heart of Bangkok’s Chinatown, the Ong Ang Canal served as a vital trade artery in the 18th century. Over time, it became heavily polluted, and even earned a reputation as the city’s dirtiest canal.

Last month, as part of a broader government effort to revitalize the canal, Siam Cement Group (SCG), Thailand’s oldest cement firm, unveiled the country’s first 3D-printed pedestrian bridge across its waters. 

The bridge is part of SCG’s drive to bring new construction materials to Southeast Asia, Surachai Nimlaor, who helms its operations in cement and green solutions, tells Fortune in a Jan. 20 interview. 

The company first started applying 3D printing tech to construction in the early 2020s, including the 2023 construction of the world’s first 3D printed medical center in Saraburi, Thailand. 

“When we use 3D printing, we can shorten construction time and create buildings with unique shapes that conventional builders may not be able to achieve,” says Nimlaor.

The process involves creating a digital model, slicing it for the 3D printer, and then allowing the printer’s robotic arms to set down concrete, layer-by-layer, to form structures. By removing the need for traditional molds or formwork, it enables freeform architecture which includes sculptural curves and undulating walls. SCG’s 3D printed medical center, for instance, has fluid facades that would be difficult to execute with conventional cast concrete.

Courtesy of Siam Cement Group

This technology could be especially valuable for Thailand, where an aging population and a workforce wary of construction jobs is shrinking the sector’s pool of available workers. Nimlaor explains that the industry has been forced to turn to foreign workers from neighboring countries like Cambodia and Myanmar. (According to 2025 data from Cambodia’s Ministry of Labour and Vocational Training, there are over 1.2 million Cambodian workers in Thailand, many of whom are employed in construction.)

Still, 3D printed buildings are often only one or two storeys tall, Nimlaor admits, as taller buildings introduce “material constraints around structural loads and stability.”

Thailand’s first cement firm

SCG was founded in 1913 to build Bangkok’s first cement plant, under the orders of then-King Rama VI. In the century that followed, the company expanded to focus on three core businesses: cement and building materials, chemicals, and packaging.

Today, SCG is Thailand’s largest building materials company, with a 2024 revenue of $14.5 billion. It ranks No. 21 in Fortune’s Southeast Asia 500 list, which sorts the region’s largest companies by revenue. SCG has also expanded to other parts of Southeast Asia, including packaging businesses in Malaysia and a petrochemical plant in Vietnam.

Greening the construction industry

Beyond 3D printing, SCG is also developing low-carbon cement, tackling an industry that accounts for roughly 8% of global carbon emissions, according to the World Economic Forum.

SCG is trying to formulate cement produced using biomass, like wood. This cuts the carbon emissions from the production process by as much as 20% per ton, Nimlaor claims. SCG now exports its low-carbon cement to the U.S. and Australia, where developers now prefer materials that meet ESG standards. 

“ESG has become a very strong driver in the global market,” he explains. “Many companies now have clear carbon-reduction targets and sustainability commitments.” 

SCG hopes to launch the third-generation of its low-carbon cement, which would cut carbon emissions from production by up to 40%, but Nimlaor has hopes that they can eventually cut emissions by up to 90%. 

Looking forward, SCG hopes to continue pushing the boundaries in creating greener construction materials. “Sustainability and business growth must go together,” he concludes.



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Bitcoin is one of the world’s most battle-tested pieces of software. Launched in early 2009, the network has run continuously without being hacked, and today feels more secure than ever. There is, however, a threat on the medium-term horizon that threatens not only Bitcoin but every other type of software that relies on current encryption technology. That threat is quantum computing and, on Wednesday, Coinbase announced it has created a board of outside experts to prepare for its eventual arrival.

The board includes academics from Stanford, Harvard, and the University of California with specialties in fields like computer science, cryptography and fintech. Formally known as the Coinbase Independent Advisory Board on Quantum Computing and Blockchain, it is also composed of experts in blockchain and security from the Ethereum Foundation, the DeFi platform EigenLayer and from Coinbase itself.

In an interview with Fortune, Coinbase Chief Information Security Officer Jeff Lunglhofer explained how the arrival of quantum computing could defeat current encryption mechanisms, including the ones employed to protect the wallets and private keys held by Bitcoin owners.

“In simple terms, modern cryptography relies on hard math problems that would take thousands of years for a modern computer to solve,” he said. “But when we have a million times the horsepower [with quantum computing], that will provide the computation power to solve them.”

While the security threat of quantum computing is real, it is unlikely to be an urgent issue for at least a decade, according to Lunglhofer. His view is consistent with other experts who note that, while companies like Google and IBM have been building quantum computers for years, the current generation of these machines can only operate at a small scale and are not close to being able to crack the algorithms that protect Bitcoin and other networks.

The purpose of the new Advisory Board, says Lunglhofer, is to explore the coming impact of quantum computing in a “non-hype based way.” This will include promoting efforts by the blockchain industry, which are already underway, to update Bitcoin and other networks so that they are resistant to quantum-based attacks.

Currently, the Bitcoin network secures wallets by means of private keys, which are long strings of random numbers and letters that are visible to their owners, but that can only be guessed by means of an impossibly long series of trial-and-error attempts. When the quantum computing era arrives, it will be possible to guess a private key using trial-and-error. In response, Lunglhofer says, blockchain experts anticipate that Bitcoin and other networks will respond by creating larger keys and, at the same time, introducing “noise” to make the location of the key harder to detect in the first place.

All of this will require blockchain networks to introduce and deploy these defensive upgrades, a process that is likely to take years. In the interim, the new Advisory Board will begin publishing research papers and issuing position statements to help the crypto industry prepare for the arrival of quantum computing. The group plans to publish its first paper, which will focus on quantum’s impact on the consensus and transaction layers of blockchain, in the next month or two.

“Quantum computing is both a technological opportunity and a security challenge. By bringing together the foremost experts in the world, Coinbase is ensuring that the blockchain ecosystem is prepared, not just reactive,” said Yehuda Lindell, Head of Cryptography at Coinbase, in a statement.



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