Speaker
Fred Turner
Appearances over time
1 episodes
Episodes
1
Podcasts
Quotes & moments
Curative scaled from 7 to 7,000 employees in just 9 months during the COVID testing ramp-up.
Curative's peak single-day COVID testing volume was 206,000 people, reached in December 2020, just 8 months from zero.
Curative generated approximately $5 billion in total revenue from COVID testing over a 3-year period.
Curative's single largest contract — with the state of Florida for nursing home testing — was worth hundreds of millions of dollars.
AI agents cut Curative's doctor credentialing cost from $50 to $0.20 per credential and turnaround time from 2-3 months to 12 hours.
After COVID testing wound down, Curative invested approximately $500 million of retained earnings into building its health insurance business.
Curative cancelled its $600,000 annual Salesforce subscription after vibe-coding an internal CRM that worked better and integrated with their AI agents.
Curative is cutting approximately 80% of its total SaaS spend in the current year, replacing legacy software with internally built AI-powered alternatives.
Curative's AI agent Gwen increased provider network contracting speed from ~100 contracts per week to ~100 contracts per day.
In roughly 8 weeks, Curative's Gwen agent signed 3,500 provider contracts — more than the entire human team's output of 2,300 contracts in all of last year.
With Gwen, the average cost per provider contract fell from $1,500-$2,000 with human teams to about $70 with the AI agent.
Curative's monthly Anthropic spend has been growing 6x every month for the past 6-7 months, from tens of thousands to millions of dollars per month.
Before pivoting to health insurance, Curative paid out a dividend from COVID profits that returned 10x capital to investors — who then kept their equity stakes.
Fred Turner sold a critical CLIA lab license for $150,000 during wind-down, then was forced to acquire an equivalent license 5 months later for $27 million when COVID hit.
US law mandates that health insurers spend at least 85% of collected premiums on care, capping their profit margin and incentivizing higher total spending.
Curative went from 7 to 7,000 employees in 9 months, hit 206,000 tests in a single day, and generated $5 billion in revenue over three years. The scale was achieved by building an entirely orthogonal supply chain — avoiding every consumable that competitors were fighting over.
Fred Turner sold a hard-won CLIA lab license for $150,000 to pay creditors when his sepsis company died. Five months later, he had to pay $27 million to acquire an equivalent license when COVID hit. The same asset, priced by the pandemic.
Curative built an AI agent on Claude that does end-to-end doctor credentialing: visits the medical board website, verifies licenses, checks malpractice records, and stamps approval. Cost dropped from $50 to $0.20 per credential. Turnaround went from 2-3 months to 12 hours.
Curative cancelled a $600,000 annual Salesforce subscription after building a vibe-coded internal CRM in about 2 months that works better, integrates with their AI agents, and required no full-time Salesforce admin. This is their thesis for cutting 80% of all SaaS spend this year.
Curative's AI agent Gwen finds provider practices, researches them, emails them with personalised outreach, negotiates rates, redlines contracts using AI-generated Python, and signs the final agreement — at a cost of $70 versus $1,500-$2,000 with humans. In 8 weeks, she completed 3,500 contracts. The entire human team did 2,300 in all of last year.
US law requires health insurers to spend 85% of premiums on care. Sounds good. But it means the only way to grow profits is to grow total spending — the exact opposite of what the system should incentivise. Fred Turner calls it one of Obamacare's most damaging second-order consequences.
The US healthcare market has consolidated into roughly four giant payers and massive hospital systems — each built big just to survive negotiations with the other. The result is a market where neither side has a viable alternative, so everyone overpays and nothing changes. Fred Turner argues breaking it into smaller units is the only fix.
Fred Turner's Anthropic spend is growing 6x every month. His prediction: Anthropic could be worth $10 trillion. The logic isn't hype — it's a direct extrapolation from watching his own team find new AI use cases faster than they can deploy them.
Subcritical reactors operate permanently below the criticality threshold, meaning the reaction physically cannot run away. A particle accelerator provides the extra neutrons — and when you turn the accelerator off, the power stops completely. It solves the fundamental guarantee problem that has blocked nuclear regulation for 40 years.
Fred Turner's path from sequencing dairy cows in northern England to building a $5B COVID testing company ran through Y Combinator, a failed sepsis diagnostics startup, and a chance tweet from a longevity researcher. Every company failure was a prerequisite for the next pivot.
At the end of the COVID chapter, Curative paid out a dividend returning 10x invested capital to all investors. Then those same investors kept their equity stakes in the health insurance business. That's why the most recent round was led entirely by insiders.
As AI agents 10x throughput, they also 10x the volume of approval exceptions requiring human judgment. Fred Turner calls managing this exceptions queue the emerging bottleneck — and 'Agent Supervisor' the most important new role in tech that nobody has yet.
Getting internal sign-off for an AI agent to legally sign contracts using the CEO's signature took months of convincing. But it works: Gwen opens DocuSign, clicks sign, and the agreement is binding. The bigger barrier to AI adoption isn't capability — it's institutional trust.
Fred Turner is direct: most back office jobs will be replaced by AI, and Curative itself expects to shrink from 650 to around 400 people in the near term. But he argues these were never good jobs — and that UBI plus new social structures are the right policy response, not denial.
Analysis
What they talk about
- Business 36%
- Technology 36%
- Science 14%
- Health & Fitness 7%
- Society & Culture 7%
