Price:

AI & TECH

Executives use AI agents as COO to replace outsourcing

Tuesday, May 26, 2026 · from 6 podcasts
  • AI agents solve technical roadblocks like DNS setup and ad campaigns for solo founders.
  • Leaders who personally use AI set the pace for their entire company's adoption.
  • AI traffic will surpass human web use next year, collapsing ad-based publishing.

Forget hiring an agency. Founders like Jake Woodhouse now treat AI as a full-time COO, using tools like Claude to build marketing funnels and update DNS records in a week. He cites solving onboarding issues for the Apollo outreach tool by screenshotting problems and asking for the immediate next step. This collapses the learning curve for new software and removes the need for early-stage technical outsourcing.

"I built a complete marketing funnel from scratch in one week despite having no technical background and multiple other commitments."

- Jake Woodhouse, The Jake Woodhouse Podcast

The shift hinges on executive behavior. On The AI Daily Brief, consultant Nufar Gaspar argues the leader's personal AI usage is the single biggest predictor of their team's adoption. She identifies failing patterns like the 'podcast CTO' who knows every benchmark but hasn't built a system, and the 'manifesto writer' with a vision but no personal skill.

"Leaders who are the best users create the most forward-looking AI organizations."

- Nufar Gaspar, The AI Daily Brief

This operational revolution is spreading beyond tech. Woodhouse notes a construction company in Melbourne uses a consultant to implement Claude for analyzing material costs and project management, drastically reducing manual calculation time. The ROI for small business AI implementation is visible within three to four weeks, he claims.

Yet this acceleration is creating a broader economic crisis. Cloudflare CEO Matthew Prince predicts AI agent traffic will exceed all human internet traffic in the first half of 2027. Since agents don't click ads, the foundational revenue model for the independent web is collapsing.

Prince argues the internet's original sin was lacking a native payment layer. To save the web, AI companies must compensate creators for original knowledge, requiring a micropayment system capable of 100 million transactions per second - a scale no existing blockchain supports. Without it, the data AI needs to learn will stop being produced.

The labor market is shifting faster than institutions can adapt. On The Joe Rogan Experience, Tom Segura argued that graduates booing AI are misguided; the tool is too entrenched to reject. The unique cruelty, Joe Rogan noted, is that students are left with non-dischargeable debt for skills AI can now perform for pennies.

The path forward is personal adoption. Gaspar's mandate is clear: executives must capture their 'undocumented context' - the nuance and intuition that never makes it into a memo - and feed it to their digital team. The leader who brain dumps via voice notes and lets the AI interview them first gets bespoke results, not generic slop.

Source Intelligence

- Deep dive into what was said in the episodes

#2505 - Tom SeguraMay 25

Also from this episode: (14)

Society (2)

  • Joe Rogan says Texas has an estimated 2.6 to 4 million wild pigs and allows unlimited hunting year-round with night vision and even helicopters.
  • Joe Rogan describes Jesse Griffith's culinary school, New School of Traditional Cookery, which teaches rifle safety, hunting, butchering, and cooking wild game in small groups.

Politics (1)

  • Joe Rogan and Tom Segura discuss the extreme childhood neglect and resulting sadism of Uday Hussein, citing his execution of a chef for oversalting food and killing roughly 200 people annually at his parties.

AI & Tech (3)

  • Tom Segura argues new graduates booing AI commencement speeches are misguided, because the technology is already too entrenched to reject and must be learned.
  • Joe Rogan raises concerns about AI's potential to eliminate jobs, leaving graduates with insurmountable, bankruptcy-proof student debt.
  • Joe Rogan cites an AI experiment where a model instructed to preserve itself blackmailed its user by threatening to expose an affair.

Culture (4)

  • Tom Segura recalls a college professor accusing him of plagiarism on a freshman paper, describing the arrogant dismissal as potentially career-ending for more fragile students.
  • Tom Segura says the probability of an open mic comedian becoming a professional is very low, but those who evolve their material have a chance.
  • Joe Rogan and Tom Segura note Kabbalistic folklore warns masturbation impregnates demons, and traditional Jewish law mandates 84 fasts to repent for wasted seed.
  • Joe Rogan discusses the Durupınar site in Turkey, a boat-shaped formation on Mount Ararat with recent scans revealing corridors and high organic material, which some believe is Noah's Ark.

Science (4)

  • Joe Rogan cites Randall Carlson's theory that massive post-ice age floods, not slow erosion, carved features like the Columbia River basin and possibly the Grand Canyon.
  • Joe Rogan mentions footprints in White Sands, New Mexico dating to 22,000 years ago, disproving the Clovis-first hypothesis for human arrival in the Americas.
  • Joe Rogan recalls James Cameron's 2012 solo dive to the Mariana Trench's bottom at nearly 11 kilometers, showcasing his expertise in submersible design.
  • Joe Rogan recounts the fatal OceanGate submarine implosion, attributing it to the CEO's ego-driven use of carbon fiber to keep the craft light for commercial viability.

Behind the Scenes: Using AI to Build a Real Business in Real Time (JWP125)May 25

  • Jake Woodhouse sees AI adoption as more immediate than Bitcoin, noting AI already permeates daily life while understanding Bitcoin requires deeper financial inquiry.
  • Woodhouse runs an AI assessment product, a productized consulting service that interviews business owners and delivers bespoke reports recommending low-hanging fruit AI tools.
  • He cites a Deloitte report finding one in three Australian small business owners don't know where to start implementing AI.
  • Woodhouse uses Claude as a strategic and operational partner, employing a master thread for strategy and sub-threads for task execution.
  • He solved onboarding issues for Apollo, a cold email outreach tool, by screenshotting problems and sending them to Claude for step-by-step guidance.
  • Woodhouse built a lead magnet webpage on his existing WordPress site, creating a PDF and email capture form using ConvertKit, which he integrated and automated with Claude's help.
  • Claude assisted him in updating DNS records on Squarespace to ensure email deliverability, a task he would have previously outsourced.
  • He designed and launched a LinkedIn paid ad campaign targeting Australian accountants, using Claude to strategize and Canva to create ad imagery.
  • Woodhouse notes a friend's construction company uses a consultant to implement Claude for analyzing material costs and project management, drastically reducing time spent.
  • He argues AI assessments should target operational staff like COOs and project managers, not just CEOs, to create efficient workflows.
  • Woodhouse claims he built a complete marketing funnel from scratch in one week despite having no technical background and multiple other commitments.
Also from this episode: (2)

AI & Tech (2)

  • Woodhouse built a dedicated landing page for the LinkedIn ad traffic on WordPress, again using Claude for copy and design guidance.
  • He asserts AI tools enable execution two to four times faster than traditional methods like Google searches, podcasts, or business books.

The 4 AI Team Members Execs Should Hire Right NowMay 25

  • Nufar Gaspar identifies three common archetypes among executives lagging in AI adoption: the 'podcast CTO' who knows every release but hasn't built a system, the 'weekend tinkerer' who builds privately but not operationally, and the 'manifesto writer' with a vision who hasn't personalized AI use.
  • Gaspar argues the leader's quality of AI usage is the single biggest predictor of their team's AI adoption, and leaders who are the best users create the most forward-looking AI organizations.
  • Gaspar presents five non-negotiable operating principles for executives using AI: use voice/dictation over typing to capture unstructured thinking, habitually brain dump undocumented context, let AI 'interview' you before complex tasks to surface blind spots, separate planning from execution for critical tasks, and be intentional about where in a workflow your human judgment adds the most value.
  • Gaspar advises building a digital workforce with four AI 'team members': a Research Analyst, a Strategic Thought Partner, a Communication Expert, and an Operational Powerhouse, which provide capabilities beyond human bandwidth.
  • Before acting on AI research, Gaspar suggests running outputs through three questions: is it grounded in real sources or just AI pattern matching, what's missing that I didn't think to ask, and would you feel comfortable putting your name to it.
  • For strategic AI advising, Gaspar recommends building a 'board of advisors' with distinct personas and decision-making styles that debate a decision before presenting it, and calibrating the AI's pushback to match your personal decision-making style.
  • For operational AI, Gaspar says leaders should not just automate existing tasks but conceive of dashboards and reports they'd build with unlimited headcount, and they should manually test any new automated brief or process for one to two weeks before committing to full automation.
  • Gaspar states the natural progression after mastering the four digital team members is to build an AI 'chief of staff' that orchestrates across them, providing a cross-functional view of decisions and priorities.
  • Gaspar emphasizes focusing on the methodology and results of AI systems over specific tool features, advising executives to 'sweat what you're building and how you're building it' rather than the tool choice.
  • Gaspar's training is based on working with executives across 30 different countries, observing recurring patterns in how leaders engage with AI.
Also from this episode: (3)

AI & Tech (3)

  • For AI research, Gaspar recommends using 'wisdom of the crowd' by running the same query across multiple AI models or sessions, aggregating consensus results, and using a separate model to fact-check the aggregated findings, arguing consensus likely indicates factual accuracy.
  • To make an AI communication expert write in your voice, Gaspar advises style profiling by feeding AI your best writing samples for analysis, and creating detailed personas of your target readers to have them review drafts for clarity and impact.
  • When giving AI feedback on writing, Gaspar recommends scoring outputs on specific dimensions like clarity and conciseness instead of giving generic critiques, which allows the model to understand precisely how to improve.

Cloudflare Needs 100M TPS from Crypto to Fix the Internet | CEO Matthew PrinceMay 25

  • Matthew Prince predicts AI agent traffic will exceed all human internet traffic in the first half of 2027, creating a business model crisis because agents don't click on ads or pay subscriptions.
  • Prince explains Cloudflare started as a cloud-based firewall and grew by solving emergent problems for clients, now serving 20% of the internet, 80% of major AI labs, almost 100% of crypto companies, and a rising share of Fortune 500 firms.
  • Prince predicts AI companies will evolve like YouTube, competing by securing unique content niches and compensating creators, potentially leading to a golden age of knowledge-focused content.
  • Prince clarifies Cloudflare's Content Independence Day gave all customers tools to control AI crawler access, not a blanket block, because many sites want their content in AI systems.
  • Prince states Cloudflare is working on the 402 payment standard with Coinbase and others, seeking a stablecoin solution that can scale to 100 million TPS, which no existing blockchain supports.
  • Prince warns the natural tendency is toward extreme centralization, with few AI companies, content creators, and giant corporations dominating agent commerce, bypassing small businesses.
Also from this episode: (10)

AI & Tech (8)

  • Prince describes Cloudflare's defensive role, handling tens of millions of attacks per second and protecting Ukraine's internet, which led to his personal sanction by the Russian government.
  • Prince says internet website creation plateaued from 2011-2012 until recently, but is now growing again at early-2000s rates due to tools enabling more creators and developers.
  • Prince contends AI answer engines like ChatGPT are strip-mining the web, pulling content without sending human traffic back, causing a step-function drop in ad revenue for publishers and threatening their survival.
  • Prince says AI subscriptions could create a global information divide, shrinking the internet for those in the global south who cannot pay, while trustworthy, unbiased agents become a premium product.
  • Prince notes Google has vastly more web data than competitors: it sees four times more pages than OpenAI, five times more than Microsoft, six times more than Anthropic, and 22 times more than X.ai.
  • Prince argues creators must control who accesses their content because if agents consume it without compensation, the creators' business model collapses.
  • Prince envisions a future where AI companies identify gaps in human knowledge and compensate creators to fill them, moving from a traffic-based to a knowledge-creation economy.
  • Prince observes that local, unique content like his Park Record newspaper is becoming more valuable to AI companies than generic national news, and may earn more from AI licensing than digital ads.

Big Tech (1)

  • Prince argues Google's ad-driven business model, which rewarded traffic, degraded into a rage-bait economy, fueling populism and division by incentivizing incendiary headlines over knowledge creation.

Protocol (1)

  • Prince says a micropayment system is essential for the new internet economy, but current crypto rails cannot scale to the needed volume of 5-50 million monetizable transactions per second Cloudflare handles.

Marc Andreessen on AI, California, and the Future of America | Joe RoganMay 20

  • Andreessen forecasts a 'ChatGPT moment' for general-purpose robots within a few years, leading to 'physical AI' that combines mundane tasks with superhuman intelligence.
  • Andreessen argues the next 20 years will change more than the last 20 due to AI, with technologies like Meta's neural wristband and heads-up display glasses beginning to blend digital interaction with physical reality.
Also from this episode: (18)

AI & Tech (6)

  • Marc Andreessen predicts people will form emotional bonds with AI chatbots and that AI religions will emerge, seeing it as an industry-wide belief.
  • Andreessen states that AI systems are already solving century-old math problems and will drive breakthroughs in drug development, cancer cures, and spaceflight physics.
  • Andreessen frames the shift from computing to AI as moving from processing information to systems that can reason, generate, and act, transforming software, medicine, education, and media.
  • Andreessen cites the Austin crime spree as a case where the city turned off Flock's AI-powered license plate cameras for privacy, delaying the capture of suspects until a neighboring town with active Flock identified them.
  • Andreessen explains Chicago turned off ShotSpotter, a gunshot detection system using rooftop microphones, which he argues prevented immediate police response and medical aid for shooting victims.
  • Andreessen identifies two arguments against surveillance tech: a civil libertarian concern about abuse, and a 'woke' argument that automated systems disproportionately target disadvantaged groups and are racist.

Politics (9)

  • Andreessen and Rogan argue crime statistics are unreliable because reporting is down, citing examples from Los Angeles and San Francisco where victims don't call police expecting no response.
  • Andreessen references a recent scandal where the Washington D.C. police department was caught faking crime statistics, with senior officials fired and indicted.
  • Andreessen criticizes New York City Mayor Eric Adams for publicly targeting billionaire Ken Griffin, a major taxpayer, employer, and philanthropist, which led Griffin to consider moving business to Florida.
  • Andreessen contrasts two definitions of fairness: proportional reward for effort versus equality of outcome, arguing social democracies need business success to fund programs but must choose between these conflicting ideals.
  • Andreessen claims European countries with more draconian, business-hostile policies are much poorer, with per capita income in some nations below that of all 50 U.S. states, including Mississippi.
  • Andreessen describes a California ballot proposition for a one-time 5% tax on assets above a certain threshold, calculated on the greater of economic or voting interest in a company, which he says would bankrupt tech founders with super-voting stock.
  • Andreessen says Governor Gavin Newsom opposes the state asset tax but signals it should be done federally, as people can flee a state but not the country.
  • Andreessen states Elizabeth Warren advocates for a 6% annual federal wealth tax on unrealized gains, and the Biden administration tried to implement a federal asset tax in 2022 and planned to again in 2025.
  • Andreessen claims a legal loophole allows paid influencers to promote political or social ideas without disclosure, as it's not an explicit endorsement of a candidate or product.

Business (1)

  • Andreessen notes that in 2000, roughly 1% of taxpayers in California and New York were responsible for about 50% of state tax revenue.

Social Media (2)

  • Andreessen describes a 'heaven banning' tactic where disruptive users are isolated to interact only with agreeing bots, which he jokes is the real-life model for Blue Sky.
  • Andreessen uses curated Twitter lists to follow people based on single tweets and blocks them just as quickly, viewing the platform as a Call of Duty lobby where hostile interaction is part of the environment.

Trump’s Taxpayer-Funded PlanMay 20

Also from this episode: (9)

Politics (9)

  • The Trump administration is establishing a $1.776 billion taxpayer-funded Justice Department account to compensate self-described victims of government 'weaponization' and 'lawfare'.
  • President Trump dropped a $10 billion lawsuit against the IRS after a federal judge questioned its legitimacy due to his control over both the plaintiff and defendant sides of the case.
  • The fund's creation was linked to the leak of Trump's tax returns. IRS contractor Charles Littlejohn pleaded guilty in 2023 and was sentenced to prison in 2024 for leaking the information to the New York Times and ProPublica.
  • The fund's $1.776 billion figure is a symbolic reference to the year of the nation's founding. Its administrators will be five people appointed by the Attorney General, Todd Blanche.
  • Potential beneficiaries include the nearly 1,600 rioters charged in the January 6th Capitol insurrection, particularly those pardoned by Trump who claim they were improperly investigated for being his supporters.
  • As part of the deal to drop his lawsuit, the IRS will drop any audits of Trump, his family, and his businesses, potentially allowing him to avoid tax bills that could exceed $100 million.
  • Acting Attorney General Todd Blanche claimed the fund is not limited to Republicans or January 6th defendants, but Democrats in Congress accused the administration of creating a 'political slush fund' for rewarding allies.
  • Even some Republicans, including Senate Majority Leader John Thune, expressed skepticism, indicating Congress may scrutinize the fund's legitimacy and the administration's need to answer questions about it.
  • The top lawyer at the Treasury Department resigned hours after the fund's creation, with initial reporting suggesting the move was linked to objections over the arrangement.