Daily tech roundup: Nvidia’s CEO faces a 50-50 future, Tesla’s robotaxis reach San Antonio, and Instagram’s AI age checks go global

Today’s news is a study in high-stakes leadership and quiet infrastructure shifts. Nvidia’s board has opened an independent investigation into CEO Jensen Huang, and one of the most respected voices on CEO survival puts his odds at roughly even — a crisis with real consequences for the company at the centre of the AI economy. Tesla, meanwhile, is pushing its robotaxi service into a fourth Texas city, and Meta is taking its AI age-detection system for Instagram worldwide, automatically moving millions more teens into restricted accounts. The common thread: the systems teams depend on — chips, transport, platforms — are being reshaped by decisions made at the top.

At a glance

• Nvidia’s board investigates Jensen Huang — an independent inquiry into the CEO’s relationship with a Megaspeed executive U.S. officials believe is a Chinese spy; a Yale leadership expert puts Huang’s survival odds at “about a 50-50” (TechCrunch).
• Tesla robotaxis come to San Antonio — the fourth Texas city for the service, launching Monday at 5 a.m., as Tesla races Waymo across the state (TechCrunch).
• Instagram’s AI age detection goes global — Meta is expanding age estimation worldwide, automatically placing millions more teens into Teen Account protections, even those who signed up with a fake adult birthday (The Verge).

Nvidia’s board investigates Jensen Huang — and his future is a coin flip

What happened: Nvidia’s board announced on Sunday that it is launching an independent investigation after CEO Jensen Huang told staff he had been unfaithful to his wife. The other person in the relationship is Alice Huang, an executive at Megaspeed, a Singapore cloud company — and U.S. officials believe she is a Chinese spy who was passing information back to Beijing. No one has been charged, and the Chinese Embassy in Washington dismissed the allegations in late October as groundless. The board says it sees no sign that national security or company secrets were compromised, but U.S. intelligence officials reportedly briefed President Donald Trump about their concerns a year ago, and unnamed senior officials in the administration told the New York Times they doubt Huang could have remained unaware of her intelligence role all that time. Yale leadership scholar Jeffrey Sonnenfeld, who knows Huang and has hosted him at CEO summits, called the episode “remarkably poor judgment” and put Huang’s chances of surviving as CEO at “about a 50-50” — though he also called Huang’s career salvageable if he can show he was duped. Huang keeps running the company for now. Three House chairmen want a closed-door briefing from him on November 18, and Nvidia reports earnings on November 17. The stakes go well beyond one company: Nvidia is not just the biggest supplier of the chips driving the AI boom, it is also a major financier of it, with stakes in OpenAI, Anthropic, xAI, CoreWeave and Nebius, and preliminary agreements signed in August with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR aimed at mobilising more than $500 billion over time — with Huang saying Nvidia could backstop up to a quarter of it. Megaspeed, which grew out of a Chinese gaming business and became Nvidia’s largest buyer in Southeast Asia, bought roughly $2 billion of its chips, according to the New York Times, raising questions about whether it helped China work around U.S. export restrictions. An Nvidia spokesperson has said those allegations were investigated and debunked last year. Succession is also murky: Huang runs an unusually flat organisation with about 60 direct reports by his own account, and unlike many founders he holds no super-voting stock that would cement his power.

Why it matters for teams: Almost every team building on AI is, directly or indirectly, a Nvidia customer, partner, or investor — including the millions of Americans with Nvidia in their retirement plans. A leadership crisis at the centre of the AI economy is not a distant boardroom drama; it is a supply-chain and vendor risk. The board’s investigation will have to establish whether any technology reached China and by what routes, and the answers could affect export policy, chip availability, and the financing web behind the AI buildout. The episode is also a warning about how exposed tech companies are to insider risk: Sonnenfeld argues the industry has been “way too lax” compared with defence contractors, and points to the arrest last month of an OpenAI engineer accused of hiding a recording device in an executive conference room.

What to watch / do next: Watch the November 17 earnings call and the November 18 House briefing for signals about how the board is handling the investigation and whether Huang hands off day-to-day decisions. If your AI roadmap depends on Nvidia hardware, financing, or partnerships, treat leadership continuity as a live risk factor in planning — and review your own insider-risk and export-compliance posture, because the scrutiny that follows a case like this rarely stops at one company.

Based on reporting by TechCrunch.

Tesla’s robotaxis reach San Antonio — its fourth Texas city

What happened: Tesla is expanding its robotaxi service to San Antonio, starting at 5 a.m. local time on Monday, the company said in a post on X. It will be the fourth Texas city for the service, which launched in Austin in June 2025 with human safety operators on board and went fully driverless there in January, when Tesla removed the monitors. Since then the company has expanded within Austin and into new cities in Florida and Texas, and now operates robotaxis in limited areas of Miami and Orlando as well as Dallas, Fort Worth and Houston. Tesla gave no further details for San Antonio — no hours of operation, no word on whether the gold two-seater Cybercab will be offered alongside modified Model Y vehicles, or whether human safety monitors will ride along. Based on past launches, expect a small fleet in a confined area, expanding slowly. The scale so far is modest: Tesla has more than 400 autonomous vehicles registered in its Austin fleet, but fleets elsewhere number between a handful and a few dozen — 24 vehicles in Fort Worth and five in Miami, according to Texas registration data and the Robotaxi Tracker website. Rival Waymo also operates in San Antonio, having recently restarted service there after a five-month pause following incidents in which its vehicles got stuck after entering flooded roadways. Tesla also runs a ride-hailing service in the San Francisco Bay Area under a transportation charter permit, but those vehicles have a human behind the wheel — Tesla does not have the permits to operate a driverless ride-hailing service in California. And despite the expansion push, Tesla’s own data released this summer showed its robotaxi network drove fewer miles with paying customers in the second quarter than in the first, TechCrunch reported in July.

Why it matters for teams: Autonomous ride-hailing is moving from pilot to a real, if still small, commercial service across Texas and Florida — and the competitive map matters for anyone planning corporate travel, logistics, or fleet strategy in those cities. The details teams should note are the constraints: limited areas, small fleets, and the fact that Tesla’s own paid mileage fell quarter over quarter even as it expanded. Waymo’s five-month pause in San Antonio after flood incidents is a reminder that weather and edge cases, not just technology, decide when these services are actually available. For now, robotaxis are a supplement to transport planning, not a replacement for it.

What to watch / do next: Watch whether San Antonio launches with safety monitors or fully driverless, and whether the Cybercab appears — those details will say a lot about how confident Tesla is in its camera-only, end-to-end AI approach. If your organisation operates in Austin, Dallas, Houston, or San Antonio, check whether robotaxi coverage reaches your offices and whether it is reliable enough to fold into travel policy. And keep an eye on the mileage numbers: expansion headlines are cheap, but paid miles are the real measure of a robotaxi business.

Based on reporting by TechCrunch.

Instagram’s AI age detection is expanding globally

What happened: Meta is globally expanding the age estimation technology it uses to find teenagers on Instagram who have not correctly disclosed their age. The rollout will automatically place “millions more teens on Instagram into Teen Account protections,” according to Meta’s announcement, after the AI-powered age assurance updates launched in the US, EU and Brazil last year. The detection tools proactively look for signals that suggest a user is under 18 — the other profiles and types of content they interact with, birthday messages they receive, and “general themes and visual cues” from uploaded photos and videos, including height and bone structure. Meta says it has also started using Apple’s age-range signal as an additional detection method in Australia. The system is used to remove users believed to be under 13, the minimum age for Meta social accounts, and to automatically place users aged 13 to 17 into more restrictive Teen Accounts, even if they signed up using a fake adult birthday. Teen Accounts are private by default, limit the kind of content teens can see, and prevent strangers from sending them direct messages. Parents and guardians can choose to supervise Teen Accounts to set time limits and monitor how their child uses Instagram, and users aged 16 or younger cannot adjust Teen Account settings without a parent’s or guardian’s permission.

Why it matters for teams: Age verification is spreading across the internet, and this is the largest deployment yet of AI-driven age estimation on a major platform. For teams, the practical implications are threefold: compliance and policy teams should note that platforms are now proactively inferring age from behaviour and imagery, not just relying on self-declared birthdays — a model regulators are watching closely; marketing and social teams targeting younger audiences should expect reach and targeting to shift as more accounts are reclassified into restricted Teen Accounts; and any organisation with staff or customers under 18 needs to know these protections exist, because they change what young users can see and who can contact them.

What to watch / do next: Watch how accurate the age estimation proves to be in practice — false positives that lock adults into teen restrictions, and false negatives that miss teens, will both draw scrutiny. If your organisation runs social campaigns, review whether your audience targeting and content policies account for a growing share of teen accounts. And expect other platforms to follow: age assurance is becoming a standard platform feature, not a Meta-only experiment.

Based on reporting by The Verge.

Bottom line

The story to act on today is Nvidia: a board investigation into the CEO of the company at the centre of the AI economy is a live risk for any team whose AI plans touch Nvidia hardware, financing, or partnerships — watch the November 17 earnings call and the November 18 House briefing, and treat leadership continuity as a planning variable. The other two stories are about systems quietly scaling up: Tesla’s robotaxis are spreading across Texas, but paid mileage is the metric that matters, not launch headlines; and Meta’s AI age detection going global means age assurance is now a mainstream platform reality, with real implications for compliance, marketing, and anyone serving younger users. What is still uncertain: whether Huang survives the investigation, whether Tesla’s expansion translates into real ridership, and how accurately Meta’s age estimation works at global scale.