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Elon Musk and Jack Ma discuss AI’s risks, Mars, and how humans can secure the future
Tesla and SpaceX CEO Elon Musk and Alibaba founder and Chairman Jack Ma kicked off the 2019 World Artificial Intelligence Conference in Shanghai, China, with an informal debate about AI and its implications to humanity. Throughout their conversation, Musk and Ma touched on several topics, from jobs, the need for educational reform, moving to Mars, and how humans’ way of life can improve in the future.
Opposing Views
The two billionaires have vastly differing points of view concerning artificial intelligence. While Musk is cautious about AI considering the dangers it may pose to humanity, Ma is far more optimistic. “I don’t think AI is a threat,” Ma said, responding to the Tesla CEO’s introductory points. Explaining further, the Alibaba founder noted that people are “street smart,” and thus, humanity will be fine even when AI evolves. Musk, for his part, doubled down on his point, arguing that AI’s rate of improvement is notable, and there will come a time when computers will outpace humans’ natural ability to understand it.
Making humans multi-planetary
Musk noted that humans have an opportunity today because this is the first time in history that it’s “possible to extend life beyond Earth.” He added that the window for this could either be open for a long or short time. Thus, it is in humanity’s best interest to secure its multi-planetary opportunities as quickly as possible.
Ma, for his part, argued that he has no interest in multi-planetary initiatives. “I’m not a fan of going to Mars,” he noted. Instead, Ma stated that it’s more pertinent for humans to try and preserve Earth. The Alibaba chairman nevertheless stated that the world needs innovators like Elon Musk, in as much as it needs people who are willing to do what needs to be done to save the planet. “We need heroes like you (who want to go to Mars), but we need heroes like us (who will fix Earth),” Ma said.
Musk explained that preserving Earth is a notable part of Tesla’s mission, from transitioning the transportation sector towards sustainability to fostering energy independence through solar power and batteries. Responding to Ma’s statements about using resources to focus on solving Earth’s problems, Musk noted that it will only take a fraction of the world’s GDP to make humans multi-planetary, comparable or even less than what people spend on something like makeup annually. “Spending resources on making life multi-planetary would be enough with just 1% of the earth’s GDP,” Musk noted.
AI’s threat to jobs
“Why do we need that many jobs anyway?” Ma said, explaining that humans have been fearing that tech will take jobs away for over a hundred years, and yet, jobs have increased. Ma believes that with AI’s help, humans can eventually reach a point where the average workweek is only 3 days per week, and the average workday is only 4 hours a day. This, according to Ma, opens the opportunity for humans to enjoy life more, and live even longer. “We need to be ready to enter the era where everyone will get to live 120 years,” he said.
Musk, for his part, stated that the advent of AI will likely make most jobs pointless. Considering AI’s evolution, Musk noted that the time will come when computers could eventually make their own software. With this in mind, it would be best for people to embrace areas such as engineering and fields of study that deal with human relations, as these will still be pertinent even in the artificial intelligence age. The Tesla CEO added that this is the reason behind Neuralink and its brain-machine interface, as it will prevent humans from being left behind.
The need for education reform
The Alibaba founder admitted that he is worried about the current educational system, which is still largely designed for the industrial period. Ma argues that today, there is a need to foster more creative and constructive education, which would allow humans to live a happier life. “I want to spend more time training kids on painting, singing, dancing, these creative things that make people live like humans,” he said. Ma added that people have heart, and that is where wisdom comes from. With this in mind, it is best for education to focus on training this aspect of the human being.
The Tesla CEO agreed that creative education is needed, particularly as today’s school system is “low bandwidth and extremely slow.” Musk noted that solutions such as Neuralink’s neural lace could be a difference-maker in this sense, as it would allow people to upload skills and learn them quickly, in a manner that is not too far from the concepts depicted in the sci-fi franchise The Matrix.

The dangers of AI
While the two disruptors agreed that there is a need for educational reform, Musk and Ma disagreed most about the potential risks of AI. Ma argued that compared to humans, computers are just a toy, adding that the best resource in the world is the human brain. “It’s impossible that humans could be controlled by machines. They’re machines that are invented by humans,” Ma said.
Musk noted that he very much disagrees with Ma’s stance. Arguing his point, the Tesla CEO stated that humans are capable of creating things that are superior to people. Humans are not the last step in evolution, Musk said, and people must be wary of thinking that they are smarter than they really are. “The most important mistake smart people make is that they think they’re smart. Computers are already smarter than people. We just keep moving the goalposts,” he stated.
Responding to Musk’s argument, Ma noted that the metrics humans use to benchmark themselves against AI (such as world champions in Chess playing against artificial intelligence) do not make sense, as games like Go are designed for human minds. “Why should humans play against computers? It’s stupid to compete with computers,” Ma quipped, adding that while computers can be clever, humans are smarter and wiser.
The future of humanity
Musk believes that one of the world’s greatest threats lie in its declining birthrate. “The world’s biggest issue in 20 years is population collapse,” he said, adding that this could be a big issue considering that humans generally have a “20-year boot sequence.” Ma agreed, stating that even China’s population, which currently stands at 1.4 billion people, sounds a lot today, but if one factors in the country’s declining birthrate, the country will see a completely different landscape in 20 years.
Musk added that more humans are definitely needed, especially with the start of multi-planetary initiatives. “Mars needs people,” he lightly said.
Ma ultimately believes that pursuing AI is wise to make people’s lives better. The Alibaba founded added that artificial intelligence can always do a better job when logic is involved, but when logic is not involved, humans will always be better. To thrive in the future, Ma stated that humans need not just IQ, but emotional intelligence, and (love) intelligence as well. Musk nodded, stating “I agree with him. Love is the answer.”
Watch Elon Musk and Jack Ma’s informal AI debate in the video below.
Investor's Corner
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Elon Musk
Tesla Hardware 3 owners could be made whole this month
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.