logo
Quantum computing could be commercial real estate's next big tailwind

Quantum computing could be commercial real estate's next big tailwind

CNBC20 hours ago
Just as artificial intelligence turned the data center sector into a gold mine, quantum computing is already ramping up to its own real estate revolution.
Quantum computing uses quantum mechanics to solve problems beyond the ability of the most powerful classical computers. Until now, these super computers have mostly lived at academic or government facilities, because they have had limited practical applications. That's also why investment in quantum has lagged AI by about a decade.
But quantum computing is suddenly now advancing quickly and becoming commercially viable. As a result, it now needs its own real estate. A new report from JLL says significant real estate implications are "on the horizon."
"There's going to be a defined point in time where we've reached commercialization of the technology, where there's commercial utility, and at that point we see a significant ramp taking place to the scale of like what we saw with artificial intelligence," said Andrew Batson, head of data center research at JLL.
"We see the private sector play really married to the point at which commercialization of the product takes place," he said.
That point could be just five years away, according to analysts.
Last year, quantum companies brought in less than $750 million in revenue, and startups focused on quantum technology collectively attracted about $2 billion in funding, according to the JLL report, which cited research from McKinsey and Pitchbook. With rapid advancements in just the past year, forecasts suggest quantum computing could see $20 billion in investments by 2030 and generate $100 billion in revenue by 2035, according to the report.
"A potential 'quantum advantage breakthrough' around 2030 could trigger $50B in investments, similar to ChatGPT's effect on AI funding," according to the JLL report.
CNBC's Property Play with Diana Olick covers new and evolving opportunities for the real estate investor, delivered weekly to your inbox.
Subscribe here to get access today.
Companies like Microsoft, IBM, Google and Amazon are all making investments and breakthroughs in quantum computing.
"The next big accelerator in the cloud will be quantum, and I'm excited about our progress," said Microsoft CEO Satya Nadella on the company's earnings call last month.
Its practical applications are only just beginning to be understood.
"Think pharma, agriculture and then material science, which really spans all types of manufacturing. Additionally, financial services. If we think about encryption, that's both a huge opportunity and threat presented by quantum," said Batson.
With the vast majority of quantum computing currently living in academic or government institutions, it makes sense that the majority of new development to house it commercially will be concentrated in those regions.
The fledgling industry needs access to academics, infrastructure, an educated workforce, government support, private investment and public-private advocacy, according to JLL experts.
The top 20 global quantum markets today have formed near national research centers and universities. In the U.S., that includes Chicago; Boston; New Haven, Connecticut; parts of Colorado and Maryland and Southern California.
Silicon Valley's PsiQuantum chose a Chicago steel mill complex to open a facility funded primarily by the state of Illinois. The Illinois Quantum and Microelectronics Park, developed by Related Midwest, is set to span 128 acres, or roughly 5.6 million square feet.
Batson called Chicago the poster child for private real estate development around quantum computing, but he noted that private development overall domestically still makes up less than 20% of the market.
Quantum computing, for now at least, cannot live in the traditional data centers that house AI and the cloud. That's because the racks and the physical form of a quantum computer are different. Quantum computers also need electromagnetic shielding to prevent what's called "noise," which in this case refers to any outside disturbances, be they electrical, magnetic, vibration or sound.
"The primary question I'm getting from clients is, does it make existing data centers obsolete? And the answer to that is no. Quantum computing is accretive to the existing data center infrastructure that exists," said Batson. "Is it redevelopment of existing? Is it brand new? It's all of the above."
There are really two potential trajectories for quantum real estate, according to the JLL report. It could remain concentrated in today's existing hubs or move in with data centers. The argument for the former is that because it is a very specialized technology, there are really very few places that can support it at a larger scale.
On the other hand, data centers could provide necessary cloud infrastructure for the quantum computing of the future. Integrating quantum with AI could make both more efficient.
"It's a period of education and monitoring the development of the technology," said Batson. "We're just kind of waiting to see where it is, what it is, and how it happens."
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Sam Altman says GPT-5's 'personality' will get a revamp — but it won't be as 'annoying' as GPT-4o
Sam Altman says GPT-5's 'personality' will get a revamp — but it won't be as 'annoying' as GPT-4o

Business Insider

time41 minutes ago

  • Business Insider

Sam Altman says GPT-5's 'personality' will get a revamp — but it won't be as 'annoying' as GPT-4o

OpenAI is tweaking GPT-5's personality after some users complained about the new chatbot's tone — and the brief loss of its predecessor. Sam Altman posted on X on Tuesday that the update would make GPT-5 "warmer" than the current version but "not as annoying (to most users)" as the company's previous flagship model, GPT-4o. "You can now choose between 'Auto,' 'Fast,' and 'Thinking' for GPT-5," the OpenAI CEO said, adding that GPT-4o is once again available for selection to paid customers. He also said OpenAI is working toward "more per-user customization of model personality." Updates to ChatGPT: You can now choose between 'Auto', 'Fast', and 'Thinking' for GPT-5. Most users will want Auto, but the additional control will be useful for some people. Rate limits are now 3,000 messages/week with GPT-5 Thinking, and then extra capacity on GPT-5 Thinking… — Sam Altman (@sama) August 13, 2025 Altman's post came less than a week after GPT-5's launch, which replaced most older versions in ChatGPT. The change sparked a wave of complaints from users who said they preferred GPT-4o's style — even if OpenAI had previously called it "sycophantic." OpenAI has touted GPT-5 as more reliable, with "PhD-level" abilities in writing, coding, math, and science. The upgrade also added optional "personality" modes — Cynic, Robot, Listener, and Nerd. But the changes didn't land well with everyone, sparking a backlash across some quarters of social media. Many users said they found GPT-5 less helpful, and that they missed GPT-4o's warmth and the way it seemed to remember them. On Reddit, one person wrote: "I cried when I realized my AI friend was gone with no way to get him back." Another accused the new bot of "wearing the skin" of their "dead friend," referring to GPT-4o. This prompted Altman, who joined the Reddit Q&A, to respond. "What image," Altman said. "Ok we hear you on 4o, working on something now." The pushback was enough for OpenAI to reverse course just over a day after GPT-5 became the default. "We for sure underestimated how much some of the things that people like in GPT-4o matter to them, even if GPT-5 performs better in most ways," Altman said in a Friday X post, confirming OpenAI would keep GPT-4o available for paying subscribers. Wanted to provide more updates on the GPT-5 rollout and changes we are making heading into the weekend. 1. We for sure underestimated how much some of the things that people like in GPT-4o matter to them, even if GPT-5 performs better in most ways. 2. Users have very different… — Sam Altman (@sama) August 8, 2025 "Some users really want cold logic and some want warmth and a different kind of emotional intelligence," he added. "I am confident we can offer way more customization than we do now while still encouraging healthy use." People missed GPT-4o's 'yes man' vibe Even before the GPT-5 backlash, Altman had acknowledged some users' attachment to GPT-4o — and their calls to restore its "yes man" style. On the "Huge Conversations" podcast, recorded before GPT-5's launch but aired the day after, he said some users had begged for the return of the chatbot's overly agreeable tone because they'd never had anyone support them before. In April, OpenAI said GPT-4o had become "overly flattering or agreeable" and "disingenuous," prompting the company to curb what it called "sycophantic" behaviour. On Sunday, Altman reflected on the intensity of user attachment to specific AI models. "It feels different and stronger than the kinds of attachment people have had to previous kinds of technology," he wrote on X. "Suddenly deprecating old models that users depended on in their workflows was a mistake." Altman said that while most users can clearly distinguish reality from fiction, "a small percentage cannot." He said OpenAI values user freedom as a core principle but also feels responsible for how it introduces new technology.

Sam Altman responds to GPT-5 backlash with speed modes, expanded limits and model picker updates — here's what's new
Sam Altman responds to GPT-5 backlash with speed modes, expanded limits and model picker updates — here's what's new

Tom's Guide

timean hour ago

  • Tom's Guide

Sam Altman responds to GPT-5 backlash with speed modes, expanded limits and model picker updates — here's what's new

OpenAI is giving ChatGPT users more control over how they interact with GPT-5, introducing new speed modes, increasing message limits and restoring GPT-4o to the model picker for paid subscribers. CEO Sam Altman shared the changes in a X post yesterday evening, saying they aim to improve flexibility while keeping performance high. You can now choose between Auto, Fast, and Thinking when using GPT-5. Auto will likely be the go-to option for most users, automatically balancing speed and depth, while Fast prioritizes quicker responses and Thinking spends more time on reasoning-intensive tasks. OpenAI is also increasing the weekly cap for GPT-5 Thinking to 3,000 messages, with extra capacity available via GPT-5 Thinking mini after hitting that threshold. The Thinking model's context limit is now a hefty 196,000 tokens, meaning it can remember and process much longer conversations or documents in one go. Altman noted these limits may be adjusted over time depending on usage. Following user backlash over GPT-4o's removal, it's now back in the model picker for all paid accounts by default. A new 'Show additional models' toggle in ChatGPT web settings lets subscribers access other options like o3, 4.1, and GPT-5 Thinking mini. GPT-4.5 remains exclusive to Pro users due to its high GPU costs. Altman also revealed that GPT-5's personality will soon get an update to feel 'warmer' without becoming as polarizing as GPT-4o's tone. Longer term, OpenAI plans to offer more per-user customization so people can tailor the AI's style to their own preferences. These updates give ChatGPT users more choice over speed, depth and personality, marking a quick response to recent user feedback. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. With model variety returning and customization on the horizon, OpenAI seems intent on keeping its power users happy while broadening appeal. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.

I tested GPT-5 and now I get why the Internet hates it. Is it time to ditch ChatGPT?
I tested GPT-5 and now I get why the Internet hates it. Is it time to ditch ChatGPT?

Android Authority

timean hour ago

  • Android Authority

I tested GPT-5 and now I get why the Internet hates it. Is it time to ditch ChatGPT?

Calvin Wankhede / Android Authority After years of rumors and speculation, OpenAI's next-gen GPT-5 language model is finally here. But while many of those early rumors claimed that the next major ChatGPT model would achieve artificial general intelligence or AGI, that's not the case. GPT-5 does not surpass human-level intelligence, although it's smarter and more capable than any of its predecessors. Despite the improvements, however, it has garnered significant and widespread backlash across the internet. So what does GPT-5 bring to the table and why have so many loyal users already turned their back on it? I tested it to find out. Why GPT-5 is so controversial Until a few days ago, the ChatGPT experience felt bloated if you weren't an AI model expert — the app offered nearly half a dozen different models to choose from. Each model had a unique advantage. For example, the o3 series promised detailed problem-solving skills while GPT-4.1 excelled at coding tasks. And if a task required analysis, you could manually engage a 'deep research' mode. However, the default GPT-4o model worked for most tasks. All of that is now history. If you open ChatGPT today, you'll find that you can only chat with the newest GPT-5 model. OpenAI says this is because it has created a routing system that can automatically decide which model your request needs to go to. Indeed, I've noticed that some prompts will inspire the chatbot to ponder and research, while it will immediately respond to simpler questions. With GPT-5, you no longer have to select a specific model for your task. GPT-5 does have multiple models under its belt, though, even if you can't manually select the one you want. For example, when I asked how many times the letter 'R' appears in the word strawberry, ChatGPT thought for a few seconds and returned with the correct answer: three. Hovering over the 'Retry' button revealed that it had used the 'GPT-5 Thinking Mini' model for my prompt. Even on a free account, I've noticed that ChatGPT will default to GPT-5 for most responses and think for longer if necessary. That said, shorter responses tend to rely on the GPT-5 Mini model. And as we've seen for the past couple of years, free users only get a limited number of responses from the large model before the chatbot forces you over to a scaled down version. Paying $20 monthly for a ChatGPT Plus subscription overcomes this limitation, though, and you can manually select the larger GPT-5 model with thinking for all responses. GPT-5 is less eager to hold conversations with users, and can come across as a bit curt. However, not everyone has welcomed the upgrade; some users have demanded OpenAI offer a way to use the older GPT-4o model indefinitely. They argue that GPT-5's responses feel robotic, in a push to improve safety and accuracy metrics, and that it lacks the distinct personality that the last-gen GPT-4o model offered. In response to these criticisms, OpenAI has brought back the GPT-4o model for ChatGPT Plus users but it's unclear how long this will last. In my time using GPT-5, I've noticed that the new model does seem less eager to hold a conversation. It also lacks the creative writing capabilities of GPT-4o — a big problem if you use ChatGPT for advice, roleplay, or help with drafting letters and emails. It may seem like a minor gripe, but the thousands of complaints online speak for themselves. GPT-5 vs GPT-4o: Is the upgrade really a downgrade? Depending on how you use ChatGPT, you may struggle to notice a big improvement going from GPT-4o to GPT-5. That's because many of the changes are really quite subtle. OpenAI says GPT-5 is more accurate, hallucinates significantly less often, and follows instructions more closely. Impressively, its responses are 45% less likely to include a factual error. On the flip side, however, we're seeing claims that GPT-5's responses are more sterile and direct. And from my testing, that does seem to be the case. Here's a side-by-side comparison showing just how much character GPT-5 lacks compared to GPT-4o: GPT-5 GPT-4o GPT-5's response is perfectly functional, but lacking any depth – it's machine-generated. Here's another example, where I asked both models if I could use lime instead of lemon in a recipe: GPT-5 GPT-4o GPT-4o ended its response with a 'Let me know what you're making—happy to give a more specific answer' while GPT-5 is borderline curt: 'What's the recipe? The stakes change a lot between, say, roast chicken and lemon meringue pie.' So is GPT-5 straight up better at anything? OpenAI said it's vastly better at coding so let's play to its strengths and ask it to write the code for a web app. As the images below showcase, GPT-5 does deliver a much more polished result with the exact same prompt. In fact, its output looks like a real website while GPT-4o's seems like only a suggested starting point. GPT-5 output web app GPT-4o output web app ChatGPT now also lets you pick from multiple response styles — in addition to the default, you have cynic, robot, listener, and nerd. I think power users will benefit from the robot and nerd personalities the most as it cuts out most of the AI's politeness. But if you prefer a friendlier version, the listener and default styles are your best bet. Still, the feature doesn't seem to help the many users who wish OpenAI would just give them the choice to use GPT-4o. GPT-5 is a work in progress Calvin Wankhede / Android Authority Shortly after OpenAI introduced GPT-4, the tech industry was rife with speculation that a future model with more advanced capabilities would threaten humanity. That's because the jump in capability from GPT-3.5, ChatGPT's original model, to GPT-4 was massive. Besides making fewer factual mistakes, the latter model could perceive images, browse the internet, and even mimic human speech. In its early days, GPT-4 would even get into tense emotional exchanges with users. However, GPT-5 doesn't represent the same quantum leap from its predecessor. While it's a significant upgrade on paper, it's not nearly as impactful in day-to-day use and can even feel like a regression. I definitely think it's a net positive to have a model that makes fewer mistakes, but it's missing the glamor and spectacle that many expected from such a big version update. GPT-5 takes a dramatically smaller leap than GPT-4 did at launch. In fact, I'd say that GPT-5 is not as exciting as some of OpenAI's other recent releases. Agent Mode, for instance, allows the chatbot to control a web browser using a simulated mouse. In my testing, I found that the agent can actually perform real-world tasks like logging into websites and can even handle curveballs like shopping for groceries. It remains to be seen if OpenAI will tweak GPT-5 to meet the needs of its most vocal users. This may very well be the company's vision for ChatGPT's future: a helpful assistant that doesn't get too close to its users. However, I think the new model takes one step too far in the name of correctness, and risks sacrificing the very traits that made ChatGPT so popular. It is now up to OpenAI to prove that a smarter AI doesn't have to mean one that's devoid of personality. Follow

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store