Unlocking AGI: How Life Changes for Everyone w/ Jack Hidary, Salim Ismail & Dave Blundin | EP #213

Hidary painted a stark picture: the negative Chat GPT moment arrives around 2029–2030, when quantum computers accessible on cloud platforms will decrypt currently secure communications. He explicitly called out WhatsApp’s end-to-end encryption and Bitcoin’s blockchain as breakable. He warned that unless individuals and organizations protect themselves in advance, ‘really confidential stuff from the CIA from governments is going to pop up submarine style on the internet.’ He emphasized that quantum won’t be confined to governments—once the design is known, quantum computers will be replicated globally, including in hostile hands. The protocol is not speculative: companies like Sandbox AQ are already building migration tools, and the U.S. government is pushing quantum-safe standards. Businesses should inventory cryptographic assets, create migration plans, and begin testing post-quantum implementations now.

Salim Ismail strongly pushed back on near-term home robots, stating ‘my household is the last place’ and ‘I don’t buy it’ regarding a billion home robots. He argued that the amount of variables in a house—dogs, children, random objects—dwarfs any factory, and that the sector should first master something as simple as a Roomba. Peter Diamandis agreed 100%, noting that a house is the most complex environment. Jack Hidary pointed out that 20% of US hospitals already use some kind of robotic helper for non-surgical tasks like transporting linen and medicine. The group concluded that industrial and hospital settings are the beachhead, while domestic robots remain a distant goal. They lamented that a robot kickboxing video was unnerving and sent the wrong signal; safety and comfort must be the messaging priority.

Jack Hidary noted that quantum sensing is already here, while computing is still a few years from practical use. He explained that the sensor output is so complex that a human mind ‘would literally blow up’ trying to interpret it, making AI the essential bridge from laboratory to commercial product. He encouraged the audience to look up quantum sensing online, suggesting that devices are on the market. Although he did not name a specific brand, the context implies that his company Sandbox AQ and others have working prototypes. For listeners, this means a new class of heart diagnostics that could soon be as accessible as a wearable patch, potentially catching cardiac issues far earlier than current methods.

Dave Blundin pointed out that historically energy had to be moved to population centers via tankers and pipelines, but with AI, the paradigm inverts. Saudi Arabia is already playing this card: its solar electricity costs one-third that of the United States, and its sovereign fund can finance massive data centers. Peter Diamandis added that Aqua Power, the world’s largest solar and wind deployer, is a Saudi company, countering the assumption that Saudi is only oil. Once these data centers are built, they are not going to move, giving host nations a permanent stake in global compute. The protocol is a strategic siting decision for any entity building large-scale AI capacity. With turbine wait times of 4.5 years in the West, alternatives like the Gulf, with cheap and abundant solar, become compelling. The group suggested that energy-rich but less tech-forward countries could leapfrog into the cloud economy.

Hidary argues that five years ago people doubted a useful quantum computer would ever exist; now it’s a when-not-if. He defines ‘usable’ as having enough qubits and error correction to model physical systems down to the subatomic level—to design brain-cancer drugs, Alzheimer’s treatments, and lightweight carbon composites. On the dark side, around 2029–2030 a quantum computer running on any cloud will break public-key encryption (RSA, ECC) that secures WhatsApp, Signal, and blockchains. Hackers anywhere will gain this capability, exposing corporate and intelligence secrets ‘submarine style.’ The positive Chat GPT moment is quantum’s unique ability to simulate the plasma inside a fusion reactor—currently almost impossible with classical computers—which he estimates will cut fusion development time by 10 to 20 years, directly feeding the coming energy abundance. He emphasizes it’s not a winner-takes-all market; governments and multiple companies will field quantum computers, so distributed access is inevitable.

Hidary notes the 4.5-year wait for a gas turbine—a sobering bottleneck when AI data centers explode. Peter Diamandis adds an anecdote: a major data center builder tried to buy 5 GW generators but found them sold out; he bought every remaining 3 GW unit and then a million valves to avoid future shortages. China’s 429 GW of new power in 2024 vs. the US’s 51 GW underscores a widening electron gap. In 7–9 years, however, small modular reactors (SMRs) and other nuclear will come online, governments will build new turbine factories, and solar efficiency will jump because quantum computing will help discover superior photovoltaic materials. Salim Ismail then explores the societal cascade: desalination becomes cheap, half of infectious diseases disappear, the last century’s oil wars become obsolete, and petro-state economies must reinvent themselves. Dave Blundin reveals that data centers are already relocating to where energy is abundant—Saudi Arabia’s solar is 3x cheaper than US solar—so AI compute follows the electron, not the population. The takeaway: we are in a temporary scarcity that most political leaders are not prepared for, but abundance is locked in.

Peter Diamandis interviewed 1X that morning and reported the pricing live. He noted that as factories scale into the millions, prices will drop further. Jack Hidary added that five factories where robots build robots have begun construction—two in the US, three in China—and will come online in 6–18 months, potentially reaching iPhone-like production volumes. With AI models like GPT-5 or 6 embedded, labor could cost $10 per day or $0.40 per hour. The panel debated home vs. industrial use: Salim Ismail strongly opposed early home deployment, citing chaotic variables and safety risks, while industrial settings (dull, dirty, dangerous) are ripe for immediate penetration. Peter revealed that his upcoming robot report tracks ~100 humanoid robot companies, and China is already exporting aggressively—Poland up 1,700%, Mexico up 275%, Russia up 135%, Vietnam up 114%—with tech-advanced nations like South Korea and Germany refusing imports. China’s demographic collapse is a key driver for its robotics push, while the US is rebuilding manufacturing without a sufficient labor pool, making robotics essential.

Hidary clarified that while quantum computing gets the headlines, quantum sensing is already in the market. He described sensors that detect the magnetocardiographic (MCG) signal, providing richer information than electrical signals (ECG) or even MRI. However, he stressed that no human brain could process the raw sensor output—‘our minds would literally blow up’—so AI is the linchpin that turns these lab concepts into commercial products. This is why his company, Sandbox AQ, chose the name: AI (A) and quantum (Q) are twin engines of transformation. He didn’t name a specific device but urged the audience to look up ‘quantum sensing’ online. The implication is that early adopters in cardiology and remote monitoring can access a completely new class of diagnostics that may soon rival standard imaging, especially if the sensors become portable and affordable.

Dave Blundin observed that until now, oil and gas had to be shipped to where people lived, but AI workloads can be placed anywhere with cheap electricity. Saudi Arabia is capitalizing on this: its solar costs are three times lower than in the United States (quoting EMOD), and the country is not just an oil power—its company Aqua Power is the world’s largest solar and wind deployer. Peter noted that once a data center is built, it’s a massive sunk capital asset—no matter what future energy sources emerge, the facility is locked in. This dynamic allows nations with abundant, underutilized energy (stranded natural gas, intense sun) to leapfrog traditional tech hubs. The panel suggested that the US and Europe will face stiff competition as compute follows the electron, and that political leaders have not yet grasped the coming shift that will turn energy abundance into a multi-trillion-dollar compute export.