Alliance DAO Podcast: Why the AI Narrative Goes Beyond Cryptocurrency

Edited and compiled by Wu Shuo Blockchain

In this episode of GoodGame, AllianceDAO co-founders Imran and Qiao dive into how the tech world’s focus has quickly shifted to AI and robotics, overshadowing the current innovation cycle in crypto. They assess the crypto stagnation narrative around stablecoins and tokenization, while highlighting a competitive landscape dominated by exchanges and meme-driven token launches.

Robinhood is a strong competitor bridging fintech and tokenized assets. The discussion covered the dynamics of emerging startups, the impact of AI on coding and education, and the prospect of the extinction of entry-level jobs in law, medicine, and finance, ultimately depicting a future where AI-native, founder-led micro-startups reshape industry norms. This article was edited by WuSaidBlockchain.

Original link: https://x.com/goodgamepodxyz/status/1907801545065820269?s=19

AI and robotics craze overshadows the reality of cryptocurrency

Imran: Welcome to GoodGame, no-nonsense insights for crypto founders. We’ve had our ups and downs. I think there are a lot of exciting new launches in AI and robotics that are overshadowing what’s happening in crypto in terms of attention.

Qiao: That’s true.

Imran: There will be periods of innovation that capture a lot of people’s attention and minds. I think we are in that phase right now with AI and robotics, and crypto is going through a rebuilding process. If you are looking for the next startup idea in crypto, check out our startup pull request list and get inspiration at align.xyz/ideas.

Qiao: Right now in the cryptocurrency space, whether it’s builders or investors — even on crypto Twitter, there’s almost only one narrative.

Imran: Stablecoins and tokenization are the two narratives.

Qiao: But it’s still the same story. It’s just like putting traditional assets on the chain.

Imran: Now it seems that this is a consensus. Yes.

We are seeing a lot of institutions launching their own stablecoins. I think Fidelity just recently announced its own stablecoin.

Who else? I mean, there are a bunch of companies trying to do the exact same thing. From an innovation perspective.

There doesn't seem to be anything really new; they're just reinventing the wheel.

I was going to post this meme. I was trying to get ChatGPT to generate a Ghibli-style meme. But essentially, what I was trying to say is that the playing field is actually very small.

Everybody is competing for each other's profits. If you look at Binance, they made two very big indirect announcements. The first one was, I don't know if you saw the Hyperliquid event, but the high-level summary was that there was a token called Jelly on Hyperliquid.

Intense exchange competition highlights Hyperliquid’s challenges

Imran: The trading volume and liquidity of Hyperliquid has reached a level that can be manipulated. Someone opened a short position to extract the value of HLP.

OKX and Binance publicly participated in this — tweeting about it — in a move many interpreted as them wanting Hyperliquid to fail as it was seen as a competitive threat to their derivatives businesses.

Another example: Binance is listing tokens from FourMeme, a PumpFun clone running on the BNB chain. Tokens like Mubarak and Broccoli are being listed, sparking criticism of Binance’s direction. But the logic is clear — they see platforms like PumpFun as competitors.

Now, Binance is actively competing with Hyperliquid, PumpFun, Jupiter, etc. — it’s a war between on-chain and off-chain.

Qiao: Everyone is targeting the same verticals — trading and stablecoins. On the trading side: crypto-native platforms and Robinhood. On the stablecoin side: Circle, Tether, and traditional fintech companies.

Robinhood’s strategic move toward tokenization

Imran: Robinhood recently held an Apple-like launch event highlighting their commitment to “tokenization of everything.” With their large distribution network, they are well-positioned in the market.

They also want to tokenize real estate — similar to a tradable OpenSea-style MLS — allowing users to trade exposure to real estate assets.

Qiao: But not physical real estate — they may offer derivatives tied to real estate, which fits their strengths.

Imran: Exactly — they deeply understand their user base.

Additionally, they launched a cash delivery service — you can request physical cash instead of going to the ATM in person. At first, I wondered who else was using cash, but a lot of people do — contractors, barbers, etc. — mostly for privacy reasons.

Qiao: I understand the appeal. Banks ask privacy-intrusive questions when you try to withdraw large amounts of cash. It’s frustrating. I just don’t quite understand why Robinhood wants to get into this space.

Robinhood Cash Delivery and Banking Services

Imran: You know, that could be another angle — it could be that the ATM business is still very profitable. If you could capture that…

Qiao: Do they want to be a bank? They want people to deposit money. Yes, they want people to deposit money so that they can lend and earn the interest rate spread, just like a bank in effect.

Imran: That could be the underlying reason — basically, “Get your money out of the bank and give it to us.” And then add this cash delivery service. But they also offer other incentives. Recently, they announced a promotion — I’m actually thinking about it. If you transfer your brokerage account to them, they’ll give you an extra 2% bonus. So I’m actually thinking about switching it over. It’s not a bad deal.

So, they are pushing across the board — traditional business, banking services, traditional brokerage accounts, and now even competing with crypto exchanges. They have their hands in three areas.

Qiao: I think Robinhood is the biggest threat to Coinbase.

Robinhood vs. Coinbase: The Battle for Platform Distribution

Imran: I think Robinhood is the biggest threat to crypto startups. Because all the services they offer right now — whether it’s tokenizing X or Y — are exactly what we want our founders to build. If Robinhood becomes the primary distribution point, then it essentially cuts out the middleman — in this case, the startup.

So if we look outward and we look at the playing field right now, it feels pretty small, and when you bring Robinhood and the other major players into the mix, it gets even smaller.

Qiao: When you say “small,” do you mean there are only a few players competing for the same opportunity?

Imran: Yes. Hyperliquid.

Qiao: Binance, Coinbase…

Qiao: Pump. Pump handles about 30% of the startup volume right now, right? That's pretty significant -- pretty big.

Imran: Yes, it is huge. I am not sure of the latest figures, but the 24-hour volume is about $294 million. On an annualized basis, the revenue is about $30 billion. In comparison, Raydium’s AMM volume is $332 million.

Volume did drop slightly, though — it’s closer to $200 million now. Basically, Pump has surpassed Raydium in volume. That’s the point I’m trying to make.

Liquidity fragmentation between exchanges and aggregators

Qiao: What data are you looking at? DeFi Llama?

Imran: Yes. Raydium’s trading volume has remained mostly stable, mainly due to previously issued tokens.

Qiao: Mainly.

Imran: Right, but that might change. Pump is gaining traction. Jupiter launched Meteora (an AMM), and there’s Moonshot. They’re all part of the same founder network. Jupiter acts as an aggregator.

The market is becoming crowded, with everyone chasing the same marginal users.

The real challenge now is scaling the market — how do we bring new users into crypto? That’s the next frontier. Until then, it’s a game of waiting for the next wave of meaningful innovation.

An interesting experiment is Noise on MegaETH. They use Kaido as a trend oracle — kind of like fantasy sports, but for trend trading. This is part of the theory of “financialized attention” that we’ve discussed for years.

Qiao: Yes, it’s not new, it’s just a repackaging of the same idea. There’s nothing revolutionary yet.

Imran: Almost.

Circle’s strategic dilemma: reliance on Coinbase, global competition, and on-chain transformation

Qiao: Circle’s IPO valuation was between $3 billion and $5 billion — a little lower than I expected, but maybe that’s just my bias.

Imran: Reasonable. What is striking in the application is that Circle will pay 50% of its reserve income — income from treasuries and other yielding assets — to Coinbase.

Last year, Circle had revenue of about $1.8 billion, of which $800 million was paid to Coinbase. That’s huge.

This shows a clear power dynamic: Coinbase owns the user relationship and is the primary distribution channel for USDC, just as Pump owns its end users and uses them for AMMs.

Qiao: That’s true. If Treasury yields go down, that’s an existential risk for Circle. Maybe that’s part of the reason they’re pushing for an IPO now.

Also worth noting — Coinbase returns the majority of USDC earnings (~4%) to users. So Circle pays Coinbase for distribution, while Coinbase uses it as a user acquisition tool to ultimately make money through higher margin trading, etc.

Imran: Circle seems to be fighting a losing battle. While they currently have a regulatory moat, traditional financial competitors are emerging.

Qiao: USDC is dominant in the United States, but globally, USDT is still king.

Imran: Yes, one founder from Colombia told me that USDC is basically irrelevant in Latin America. It is not gaining traction despite offering a better product.

Qiao: That’s the network effect of currency. USDT has been around for ten years, and people trust the brand — especially on Tron, where USDT has a huge share.

Imran: So what is Circle’s ultimate goal? They are between the regulators and Coinbase, and although USDC is gaining adoption in DeFi and some founders, is that enough?

Qiao: From the outside, Circle seems to be a struggling business. I'm not sure what their next step is.

Imran: They seem to be moving more towards on-chain infrastructure.

Qiao: The best thing they built is CCTP — the cross-chain USDC bridge. It’s fast, settlement takes less than a minute, and it’s basically free. Since it’s centralized, they just move database entries internally.

Honestly, I trust CCTP more than some decentralized bridges.

Imran: I also use Debridge and Wormhole - they are both good. But Circle's solution is probably the best in terms of speed and reliability.

There were also two notable M&A moves — Kraken acquired NinjaTrader, a major traditional derivatives platform, and Coinbase was rumored to have made an offer for Deribit.

In my opinion, this reflects a broader trend: existing companies are expanding beyond pure crypto trading, which is no longer sufficient to meet growth expectations.

Innovation seems to be stagnating, so exchanges are doubling down on adjacent sectors. Interestingly, some are turning to traditional finance, while others — like Robinhood — are returning to crypto with a renewed focus.

Qiao: Yes, I feel the same way. The line is clearly starting to blur.

Sentiment Check: Saylor, GameStop and the Liquidity Cycle

Imran: Quick sentiment check — Michael Saylor just did another $2 billion round and GameStop followed suit with a $1.6 billion offering.

Qiao: Saylor’s move is hardly news anymore. But yes, I checked his risk — his liquidation risk is minimal unless the Bitcoin price drops below $20,000 in a few months.

Imran: Yeah, he owns about 3% of the total BTC supply. He is aggressive, but also safe.

Qiao: So where are we in the cycle now? A lot may depend on what Trump says today — policies can change quickly.

As for stocks, there are only a few US stocks that I think are reasonably valued. Google is one of them - it is having a resurgence in AI and its valuation is still reasonable. I am also optimistic about Tesla.

I bought my Cybertruck late last year, and in just a few months, FSD became almost hands-free. That made me decide to double down. Musk also plans to launch the Optimus humanoid robot in 2026-2027.

To me, Tesla is the most liquid venture investment in AI, autonomous driving, and robotics.

Imran: Agreed. Robinhood is also interesting if you want broader fintech and tokenization exposure. I’d probably lean more towards it than Coinbase right now, though that could change depending on the acquisition.

The AI race heats up: Google, Tesla, and China join in

Imran: I’ve seen videos of humanoid robots in public places in China — not general purpose, but still impressive.

Qiao: Yes, probably task-specific robots. But agree — China is clearly already involved.

Imran: If investors want exposure to Chinese innovation, there are now more options.

Qiao: And Chinese tech stocks are priced much lower than U.S. stocks. I own a few — Tencent and Pinduoduo (PDD) are my top picks. Tencent is doing serious AI work at data scale. PDD is founder-led, growing fast, and still feels like a startup.

Imran: That makes sense. So the US-China technology competition is happening in real time.

Qiao: In the field of AI models — have you tried Mistral? We use it internally at Alliance. For deep research tasks, it is clearly ahead of ChatGPT.

Perplexity is also great for research — it’s quickly becoming one of my go-to tools.

AI assistant showdown: Gemini, Mistral and Perplexity

Imran: Someone was comparing Mistral to Google's Gemini on Twitter the other day. They said that if it takes five minutes to do deep work with Mistral, it only takes two and a half minutes with Gemini. So I started using Gemini more.

Qiao: Gemini is really good. Its performance is unexpectedly robust.

Imran: Yes, I started switching. Every few weeks, I felt the need to change my workflow based on the latest tools.

Qiao: Me too.

Imran: There is no moat yet. So I’ve been using Gemini more recently. Last night, I tried out their new feature — live chat. It’s part of the latest update.

You can actually brainstorm with the AI in real time. Let’s say I want to throw a birthday party — it helps me with the idea, the location, the price, and I even have it make the phone calls for me.

Qiao: Did it do that?

Imran: Not yet. But it gets me to a point where all I need to do is make that call myself. It automates everything to that point. Super helpful.

Qiao: Can ChatGPT do this? Or is it not working?

Imran: From what I’ve heard, Gemini feels faster and more interactive. Have you tried Sesame AI? It’s the most advanced voice model I’ve ever seen — it feels like talking to a real person.

Qiao: Who is behind Sesame?

Imran: Not sure - no major company has made claims like that. But I tried both of their models and was impressed. I had my wife try it and she was really thrilled. She said it felt like she was talking to a real person. It even simulated breathing - it was great.

Qiao: Turing test passed. This is crazy.

Imran: Yes, very convincing.

Qiao: What you mentioned about Google is exactly the only US stock I currently hold - Google. Its forward PE is about 17 - not cheap, but still reasonable compared to the other "Big Seven".

For the first time in over a decade, Google is back on the cutting edge. They lost to Facebook in social media and couldn’t catch up to Apple in mobile. But in AI? This is Google’s home turf. This is deep software technology, and Google excels in this area. I wouldn’t be surprised if by the end of this year, Google has the best AI model.

Imran: Google co-founder Sergey Brin is said to be back at Google and working overtime to make sure they win in AI — at least that’s what I read on Twitter.

What I like about Google is that when I’m doing deep research, it pulls information from sources like YouTube and podcasts — real-time content. This gives it a unique advantage. Sometimes I think, “This research would actually be better on Google than on ChatGPT or Mistral.”

Qiao: That’s a good point. I still use a combination of all the top AIs — ChatGPT, Perplexity, Claude, Gemini, DeepSeek, etc. I just switch based on the context.

And while I can’t always articulate why, I instinctively know which tool to use in each situation. It’s like I’ve built my own mental neural network for choosing the right AI assistant.

By the way, OpenAI just raised another round of funding — $300 million at a $30 billion valuation.

Imran: Yes, it is huge. It is obviously high profile.

Qiao: Competition in AI is very fierce — both at the basic model level and at the application level. All the big players — the “Big Seven” — are investing deeply in AI, except Apple.

Apple may also be investing heavily, but they haven’t released any products yet. Meanwhile, Amazon just released their own AI assistant product for their browser.

Imran: That’s right. They have officially entered this field and compete with ChatGPT, Anthropic, etc.

Qiao: I also saw a recent interview with Jeff Bezos — he’s clearly all in on AI.

Imran: Yes, he didn’t explicitly say he had returned to Amazon, but when asked what Amazon’s biggest focus was, he immediately answered: “AI.”

Qiao: That says it all.

Imran: I switch every few weeks depending on which tool works best. Recently, I tried Gemini’s new live chat feature — it helped me plan a birthday party, from location to pricing. It was very interactive.

Qiao: Can ChatGPT do the same thing?

Imran: Probably, but Gemini feels faster and more flexible. Have you tried Sesame? It's a speech model that feels very human — even simulates breathing.

Qiao: That’s crazy.

Imran: That's very impressive. Google is back in the game when it comes to AI. Their forward PE is reasonable and they are finally playing at the forefront of the competition.

Qiao: Agreed. They lost in social and mobile, but AI is their home turf — deep software. I wouldn’t be surprised if Google leads in AI by the end of the year.

Imran: Sergey Brin is said to have returned to Google and is pushing forward with full force. In addition, Google's strength in extracting real-time data (such as YouTube, podcasts, etc.) gives it an advantage in research application scenarios.

Qiao: Yes, I rotate tools on my tasks — ChatGPT, Gemini, Perplexity, Claude, DeepSeek, etc. It has become instinctive.

Also, OpenAI just raised $300 million at a $30 billion valuation. All the big players, except Apple, are getting deep into AI. Amazon recently launched a browser-based assistant, and even Bezos is apparently getting back in on the action.

Imran: With Sergey and Bezos back, it feels like this is the most competitive and exciting tech race we have seen in years.

Will AI make coding obsolete? Productivity versus expertise

Qiao: The CEO of Replit recently said, “I no longer think you should learn to code.” This caused a lot of controversy. But I think what he meant was that you no longer need to learn to code — it’s no longer a barrier.

Inside Alliance, I asked technical founders how effective AI tools like ChatGPT, Cursor, and Windsurf were in improving productivity. Most reported 2x to 4x improvements — huge gains.

Additionally, more and more non-technical founders are now using Cursor to quickly develop their frontends. Before, they had to explain their vision to a technical partner, and a lot of things got lost in translation. Now, they can prototype their ideas directly and hand them off to technical people for polish. This is a huge shift — it enables visionaries to go directly from idea to product.

Imran: Me too. I’m not a techie, but I recently built a Telegram bot using Mistral and deployed it on AWS. It was an eye-opener for me. If I could do that, imagine what builders today can do.

Qiao: That’s true. At this rate, you don’t need a big team or huge funding. A few people and AI tools might be enough to build a unicorn.

Imran: I spoke to a founder from Proof — they are building rapid development tools for crypto projects. It makes sense that they are targeting founders building MVPs. These tools greatly shorten feedback cycles, making it easier to test ideas and iterate quickly. This could significantly accelerate the pace of innovation.

Qiao: Another big opportunity is micro-apps for consumers. Using tools like Cursor, anyone can build a highly personalized app. One of our founders built a language learning app for himself in two hours — and it worked better than Duolingo because it was built exactly for his needs.

Imran: That’s a great example. Indie developers like @levelsio are doing this too — he posted about rebuilding Skype functionality and is now making $10k a month.

This shows that you can solve a niche problem and become profitable immediately — especially when you have a global user base.

Qiao: Exactly. These tiny opportunities used to be overlooked. But as AI tools lower the barrier to entry, even non-technical people can build real profitable applications — $10,000, $50,000 a month — without a big team or funding. That’s the next wave.

Tokenizing micro startups for liquidity

Imran: I think we are entering a “micro-unicorn” season — we will see hundreds, if not thousands, of small startups emerge. These companies will solve big problems for small user groups. But they will probably stay small. They will never become billion-dollar companies. Eventually, there may be some consolidation, but for now this is the shape of the future.

Qiao: And the problem is, these small startups will never IPO. So what if they — or their investors — want liquidity?

Imran: That’s exactly why they should tokenize. It’s a perfect use case. Tokenization can be a liquidity engine for micro startups.

Actually, I'm seeing another trend. I'd like to hear your thoughts. There's a guy -- I forget his name -- but he came out with an app called Cal AI. I downloaded it. Basically, you take a picture of your food and it automatically calculates the calories, the fat content, and so on. And then it gives you a weekly health plan based on your calorie intake.

He was 18. Rejected by every college. He shared his story online — posting his Oura Ring stats and more.

Qiao: Yes, I saw it.

Next generation of builders choosing to skip school

Imran: A teenager recently launched a product and reportedly hit $10 million in ARR — despite being rejected by all the colleges. And now, more and more young people are choosing to skip college and go straight into building.

Qiao: For this generation, traditional education begins to feel dispensable.

Imran: It is. It’s not that education isn’t important — but building something that people want is probably more important.

This tweet I saw Nik mention sums it up perfectly:

“Working at Google or going to Harvard is not a sign of status — because those decisions come from small, biased committees.”

“Real status comes from things that can’t be faked: building a product used by millions of people, taking a company public, or saving lives.”

“You don’t need that Google job — the real status is when Google has to buy your company.”

Qiao: Absolutely agree. We are seeing younger and younger founders. In our next batch, there were kids who dropped out of Princeton in their sophomore year — they were very smart.

Imran: They may not know what they are building yet, but the energy is undeniable. I think this trend will continue.

Qiao: And education itself is also evolving. We are working with a team to build AI tools to help kids learn to read earlier. There is also a new startup school called Alpha School. Have you heard of it?

Subverting traditional education with AI tutors

Qiao: Have you heard about the Alpha School in Texas, where kids learn with an AI tutor and spend only two hours a day on academics — yet they outperform students in traditional schools?

Imran: I saw that. Their students ranked in the top 2% in national tests.

Qiao: This doesn’t surprise me. AI is very effective as a tutor. I believe that in 5 to 10 years, AI will completely disrupt K-12 education.

Instead of having to sit through eight hours of lectures, kids will learn the same content in a shorter time — with AI tutors personalizing instruction to their pace and interests. This will be much more efficient than a regular classroom teacher.

Imran: I cannot stand the current school model - eight hours of inefficient learning. Students are passive and unproductive most of the time.

Qiao: Exactly. And Alpha School takes it a step further: 8-year-olds launch startups, 10-year-olds give TED-style talks, and 12-year-olds study Harvard Business School cases. This is real applied learning — not just grunt work.

Imran: This is the most exciting example of innovation in education that I have ever seen. The whole system needs to change, and this feels like the future.

AI health assistants and the end of the primary doctor

Qiao: I see Apple is exploring an AI doctor product — that makes sense. The Apple Watch collects heart, sleep, and other health data, and they are in a good position.

Beyond Apple, there is a huge opportunity for startups building AI health assistants. One of our team members already uses ChatGPT regularly for health advice — about heart, diet, sleep, etc.

Imagine an AI that pulls data from your wearables, medications, and test results and gives you tailored health recommendations. That’s incredibly powerful.

A recent personal example: I took my son to an allergist. The doctor was rushed and didn't answer all my questions. So I asked ChatGPT at home — it gave the same diagnosis and better advice. It was like having a second, more patient doctor.

Imran: Indeed. This has already happened. My uncle in India was sick and no one in the family could understand the medical documents. I uploaded them to ChatGPT and got a clear summary and action plan, which I relayed to them. This clarity was never provided by an actual doctor.

Qiao: That’s why I think some types of doctors — especially junior doctors — may eventually be replaced by AI.

Imran: The same is true for telemedicine. It’s a step in that direction, but AI will go further — providing scalable, personalized care. At a minimum, AI can provide second opinions and reduce misdiagnoses.

Qiao: I want to know which startups are leading this field now. There are probably many, but there is no clear leader yet. Maybe Apple will be the first to achieve it.

Legal, analyst and junior roles under threat

Imran: I mean, lawyers in general — especially junior lawyers — much of their work can already be handled by AI.

Qiao: That’s right, it is the junior roles that are the most vulnerable.

Imran: Yeah, I can definitely see that the industry is going to take a major hit. Even for us — junior analysts or researchers — we don’t really need them anymore. So I think getting into those types of industries is going to become more difficult for people who want to build a career.

Qiao: They have to find new ways to build their reputation.

Imran: One way might be by showing your thinking on Twitter. I’ve seen people get jobs that way — just by tweeting consistently and sharing sharp insights.

I’d read a discussion and think, “This person should definitely be working somewhere,” and sure enough, a few weeks later they’d announce that they’d been hired.

Qiao: It will be interesting to see how this evolves. The broader trend I see is that AI is replacing many entry-level positions in multiple industries — not just doctors and lawyers, but in our field as well.

Remember when we talked about hiring venture capital analysts? Now we don’t need them anymore. A lot of the work they would do — market research, startup analysis — we can do just by talking to AI.

Generalists and Specialists in the AI Era

Qiao: Interestingly, I think it was Kyle who tweeted something like "AI improves generalists more than specialists." I understand his point, but the flip side is this: the most experienced people in any given industry — the true domain experts — are still not replaceable by AI. They have unique insights, edge cases, and experience-based intuition that AI doesn't have. And these people are the experts.

Imran: Yes, it is a shift towards diversification. Generalists can specialize deeply in one area, while specialists can expand across areas. So I think AI empowers both sides. It is not one side versus the other.

To me, it comes down to agency. If you’re willing to learn, adapt, and grow deeply or broadly as circumstances dictate, you’ll succeed. If you don’t have that drive, you’ll fall behind — especially as others take advantage of AI more aggressively.

Qiao: Yes. Navarre recommended a book about parenting that touched on this idea—I can’t remember the title off the top of my head.

Imran: Yes, I remember. He shared two main points. I actually have that book now – it’s really interesting.

Teaching children agency through AI and books

Qiao: The core idea in the book Nawal recommends is to teach children agency as early as possible. Let them make their own decisions — even if they are not ideal in the short term — so that they can learn from the experience and understand the reasons behind their choices. This is much more effective than just saying "this is OK, that is not OK."

Imran: Nawal shared an example where he let his kids eat whatever they wanted — as long as they read and did math for an hour a day. Eventually, one of his daughters stopped eating ice cream on her own, realizing it wasn’t healthy. That really stuck with me.

I've adopted some of this model. I bought my kids Kindles and told them, "If you read, you can watch a little TV." We don't usually allow them to spend a lot of time on screens, but now they read almost two hours a day without being prompted. They love it.

Qiao: That's great. My approach is similar — two hours of math and language every day, and then they are free to explore whatever interests them.

Imran: Me too. My daughter loves to read and uses Khan Academy independently. My son is a builder — we recently got a robotics kit powered by Nvidia’s new GPUs, and we’re building it together. It’s an opportunity for teaching and learning to go hand in hand.

Qiao: This is exactly the way of learning I want to encourage.

Imran: Exactly, and that’s how I think about the future — hands-on, curiosity-driven learning.