AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption

Episode 55 of AI Business with Fexingo explores a quiet but seismic shift in AI hiring: the move from pure engineering talent to domain experts. Lucas and Luna dig into why companies like Anthropic and Google DeepMind are now recruiting chemists, lawyers, and even anthropologists to train and fine-tune models. They discuss how synthetic data and specialized knowledge are reshaping the AI workforce...

In this episode of AI Business with Fexingo, Lucas and Luna explore a surprising trend: AI companies hiring anthropologists. They discuss why firms like Anthropic and Google DeepMind are bringing in social scientists to study human behavior, improve model safety, and bridge the gap between technical development and real-world use. The conversation touches on how ethnographic research helps reduce...

In episode 53 of AI Business with Fexingo, Lucas and Luna explore a surprising hiring trend among the biggest AI model makers: bringing in anthropologists and social scientists. They discuss why companies like Anthropic, Google DeepMind, and OpenAI are investing in ethnographic research to understand how their models are actually being used in the wild, and how this shifts AI development from pure...

As AI companies race to go public and face intensifying global scrutiny, a new hiring trend is emerging: former government regulators are moving into senior compliance and policy roles at leading AI firms. Lucas and Luna dig into why companies like Anthropic, OpenAI, and Meta are building in-house regulatory teams, what it means for the pace of innovation, and how the market is reacting. They look...

Episode 51 of AI Business with Fexingo explores the shift from human-annotated to synthetic training data. Lucas and Luna break down a June 2026 report showing that 60% of AI model training data is now AI-generated. They discuss Anthropic's suspension of new model access in India, the KPMG hallucination scandal, and why companies like OpenAI and Meta are turning to synthetic data despite risks lik...

Episode 50 of AI Business with Fexingo dives into the quiet shift happening inside major AI labs: training models on customer inference data. Lucas and Luna unpack how Amazon CEO Andy Jassy reportedly raised concerns about Anthropic's data practices before the recent government crackdown, and what the OpenAI state attorneys general investigation means for enterprise adoption. They connect this to...

Episode 49 of AI Business with Fexingo: Lucas and Luna examine a surprising trend in AI company hiring—the pivot from pure software engineers to domain experts in fields like biology, manufacturing, and law. They explore why model makers like OpenAI and Anthropic are now hiring specialists to improve real-world applications, and how this shift is reshaping the talent market. The hosts discuss a re...

This episode explores a surprising hiring trend in AI: companies like Microsoft and Amazon are actively recruiting nuclear engineers to help power their data centers. Lucas and Luna discuss how the AI industry's insatiable energy demand is driving a shift toward small modular reactors (SMRs) and advanced nuclear designs. They break down the economics—why nuclear is suddenly competitive with natura...

Episode 47 of AI Business with Fexingo tackles the biggest strategic shift in AI since the chat wars: model makers building physical robots. Lucas and Luna unpack why OpenAI, Anthropic, and even Jeff Bezos's Prometheus are moving bits to atoms, using data from the June 2026 market landscape. They analyze Avataar's video AI for India's scale, the $12 billion Prometheus raise, and theker's $85 milli...

Episode 46 of AI Business with Fexingo. Lucas and Luna explore why major AI companies like Microsoft, Meta, and Alphabet are moving away from relying solely on NVIDIA and AMD for their AI compute. With Microsoft down 6.3% in the last five days and Meta down 4.1%, the hosts examine how owning chip design could shift cost structures, supply chains, and performance. They discuss the economics in-hous...

In episode 45 of AI Business with Fexingo, Lucas and Luna explore a quiet but seismic shift in the AI industry: model makers like OpenAI, Anthropic, and Cohere are moving beyond selling API tokens to offering inference compute credits — bundles of GPU time that customers can allocate across applications, much like AWS reserved instances. The hosts unpack why this model emerged, how it changes pric...

Lucas and Luna unpack a surprising trend: top AI labs like Anthropic and xAI are radically flattening their management structures. Lucas points to a recent TechCrunch report that Anthropic CEO Dario Amodei has just one direct report — a stark contrast to traditional tech hierarchies. They discuss why safety engineers are raising alarms, as a new lawsuit against xAI reveals, and what this means for...

A new report shows AI-pilled companies spend $7,500 per employee each month on AI tools. Lucas and Luna break down where the money goes, what it means for enterprise budgets, and why hardware stocks are getting crushed. Plus: how Super Micro Computer's 31% weekly drop signals a market reassessment of AI infrastructure spending. #AI #EnterpriseAI #AIspending #AICosts #SuperMicroComputer #NVDA #SMCI...

General Motors has joined the race to build batteries for AI data centers and the grid, marking a major shift for the automaker as AI's insatiable energy demand creates new industrial opportunities. This episode breaks down why a car company is now competing with Tesla and traditional battery giants, what GM's specific technology advantage might be, and how AI energy costs — now exceeding $500 bil...

In this episode, Lucas and Luna unpack Apple's WWDC 2026 announcements, focusing on the deeper Siri AI integration across iOS 27 and macOS. They explore how Apple's on-device AI strategy contrasts with cloud-heavy competitors like Microsoft and Google, and what this means for enterprise adoption. The conversation drills into a specific use case: how Siri's ability to query internal documents and a...

Episode 40 of AI Business with Fexingo dives into the widening margin gap between AI software and hardware companies. As of June 9, 2026, Broadcom's stock dropped 17.6% in five days while Palantir fell 10.3%, but the divergence reveals more than just market jitters. Lucas and Luna break down why AI infrastructure companies like NVIDIA and AMD are seeing margins compress under surging capital expen...

On today's AI Business with Fexingo, Lucas and Luna unpack Apple's dedicated Siri app announcement from June 8, 2026. Why does a company known for tight integration suddenly spin its voice assistant into a standalone app? The hosts trace the strategic logic: from Siri's new bill-splitting 'Siri in Camera' feature to enterprise use cases in scheduling, dictation, and health. They connect the move t...

Lucas and Luna examine a striking trend in the AI industry: enterprises are abandoning massive cloud commitments in favor of leasing hardware. As of June 2026, AI hardware stocks like Broadcom and Arm have dropped over 16% in five days, while software companies like Meta and Apple have held steady. Lucas explains why the shift from buying to renting compute is reshaping the economics of AI, using...

Lucas and Luna unpack the dramatic divergence in AI stocks as of June 2026. While NVIDIA and AMD have dropped 8.5% in five days, Apple is up 0.3% and Meta down just 1.2%. The hosts drill into one key driver: investors are now pricing hardware and software AI plays differently. Lucas walks through the numbers—AVGO down 16%, SMCI down 11%—and explains why the market is suddenly distinguishing betwee...

This episode unpacks the massive divergence in AI markets as of June 2026: hardware stocks like NVIDIA, Broadcom, and Super Micro Computer are down 8-16% in a week, while software players like Meta and Apple hold steady or gain. Lucas and Luna dig into the data—NVIDIA at $205, Broadcom at $386—and explore three forces behind the sell-off: hyperscaler capex fatigue, the rise of purpose-built ASICs...

In this episode of AI Business with Fexingo, Lucas and Luna examine a surprising shift in how AI companies are funding their compute infrastructure. With NVIDIA down 8.5% in the last five days and Broadcom and Arm each off over 16%, the hardware sell-off is raising questions about demand. But beneath the surface, a structural change is underway: instead of signing multi-year cloud contracts worth...

Lucas and Luna examine the AI hardware selloff gripping June 2026. Broadcom and ARM are down over 16% in five days, NVIDIA lost eight and a half percent, and Super Micro Computer dropped eleven percent. The hosts connect the dots to a massive shift: Google's reported nine hundred twenty million dollar monthly deal with SpaceX for compute capacity signals that hyperscalers are aggressively diversif...

Lucas and Luna dig into the sharp declines in AI hardware stocks in early June 2026 — NVIDIA down 8% in five days, AMD off 7.7%, and Arm dropping over 16%. They explore three structural reasons: the shift from custom silicon to commodity APIs, a brewing margin squeeze in data center chips, and the market's growing impatience with AI capex that hasn't yet delivered revenue acceleration. Using Palan...

This episode of AI Business with Fexingo explores a counterintuitive trend in the AI industry: former competitors are teaming up to build the next generation of models. Lucas and Luna break down the economics behind this shift, using the recent partnership between Cohere and Mistral AI as a focal point. They discuss the staggering capital requirements for frontier model training—hundreds of millio...

In this episode of AI Business with Fexingo, Lucas and Luna examine Palantir's 9.7% stock drop over five days in early June 2026, wiping out roughly $10 billion in market cap. They dig into why the market is suddenly punishing Palantir despite its government AI contracts and strong revenue growth. The hosts contrast Palantir's premium valuation with AI hardware names like ARM and Nvidia, which hav...