Episodes

  • Google Search Goes Agentic, Copilot Billing Shock & Polsia's Zero-Employee Bet

    Google Search Goes Agentic, Copilot Billing Shock & Polsia's Zero-Employee Bet
    May 26 2026
    (00:00:00) Google Search Goes Agentic, Copilot Billing Shock & Polsia's Zero-Employee Bet
    (00:00:48) Gemini Flash Pricing Reshapes Model Selection
    (00:01:32) Anthropic's Enterprise Security Counter-Move
    (00:02:10) GitHub Copilot June 1 Billing Switch
    (00:02:49) Reflexivity AI Inside Trading Platforms
    (00:03:24) Polsia No-Employee Company Claim
    (00:03:54) Key Signals to Watch

    Google just redefined what a search result is. Starting now, paid subscribers can receive custom interactive dashboards and live mini-applications built on the fly — not a list of links. The technology, called Antigravity, is part of Google's broader pivot to agentic AI announced at I/O: systems that don't just answer questions, they take action.

    Driving those workflows is Gemini 3.5 Flash, launched at roughly one-third the cost of comparable competitor models. For businesses running AI at scale, that's a procurement signal, not just a feature update. Notably, Google shipped Flash before Pro — signalling it's the intended default for autonomous enterprise workloads in 2026.

    On the same day, Anthropic made a quieter but significant move: VPC-based sandbox execution and secure tunnelling for enterprise clients. Three of the four largest global audit firms now run Anthropic models. KPMG has a 276,000-seat deployment. The strategic split is clear — Google is optimising for speed and scale; Anthropic is targeting compliance and regulated industries.

    Meanwhile, GitHub Copilot switches to credit-based billing on June 1st — eight days away — and the per-credit rates haven't been published yet. If you run Copilot across a dev team, model your usage now.

    Elsewhere: Reflexivity raised $30M to embed AI research tools directly inside Interactive Brokers, raising real questions about correlated retail trading behaviour. And Polsia — a startup claiming $10M revenue with zero employees — just raised $30M, prompting fascination and scepticism in equal measure.

    The throughline: AI is no longer a layer on top of your tools. It's becoming the operating layer underneath them.

    This episode includes AI-generated content.
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    5 mins
  • AI Cost Paradox: Token Prices Fall, Enterprise Bills Surge | Ep. 1

    AI Cost Paradox: Token Prices Fall, Enterprise Bills Surge | Ep. 1
    May 25 2026
    (00:00:00) AI Cost Paradox: Token Prices Fall, Enterprise Bills Surge | Ep. 1
    (00:00:38) Uber's Budget Wall
    (00:01:16) Goldman's 24x Token Forecast
    (00:01:44) Anthropic's $900B Valuation
    (00:02:37) Kore.ai Artemis Governance Launch
    (00:03:06) Datadog Crosses $1B Quarterly
    (00:03:32) What to Watch Next

    Token prices are falling. Enterprise AI bills are rising. That contradiction is now the defining tension in business AI — and today's episode unpacks exactly why it's happening and what it means for your organisation.

    Microsoft has been scaling back internal Claude Code usage and shifting engineers to GitHub Copilot's command-line tools after AI adoption blew through its budget in months. Uber's CTO confirmed compute costs have outrun employee salaries — the company burned through its entire annual AI tooling budget by May. Goldman Sachs puts a number on where this is heading: a 24x rise in token consumption by 2030, reaching 120 quadrillion tokens per month. CFOs benchmarking on per-token price drops are measuring the wrong variable.

    Meanwhile, Anthropic closed a $30 billion funding round at a $900 billion valuation — overtaking OpenAI as the world's most valuable private AI company. Claude Code crossed $1 billion in annualised revenue in just six months, the fastest enterprise software ramp on record. An IPO is now targeted for October.

    Also in this episode: Kore.ai launches Artemis on Azure, an AI governance platform that compiles agent logic into auditable executables — critical for banking and healthcare. Datadog crosses $1 billion in quarterly revenue for the first time, fuelled by demand for AI cost observability tools. And New Zealand moves to cut 8,000 public sector jobs with AI — without a regulatory framework in place.

    The two metrics to watch: aggregate enterprise AI spend versus forecast savings, and whether Anthropic's revenue trajectory holds through the IPO window.

    This episode includes AI-generated content.
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    4 mins
  • Anthropic Tops OpenAI, Token Costs Collapse 90% & Agent Trust Gap

    Anthropic Tops OpenAI, Token Costs Collapse 90% & Agent Trust Gap
    May 24 2026
    (00:00:00) Anthropic Tops OpenAI, Token Costs Collapse 90% & Agent Trust Gap
    (00:00:56) OpenAI IPO Race Tightens
    (00:01:27) Image Generation Price War
    (00:02:00) Token Costs Collapse Ninety Percent
    (00:02:37) Autonomous Agents and Trust Gap
    (00:03:08) AI Governance Now Enforceable
    (00:03:34) What to Watch Next

    Anthropic has overtaken OpenAI in valuation — and the story behind that number matters more than the number itself. Claude Code reached one billion dollars in annualized revenue in just six months, driven not by chat experiments but by enterprises deploying autonomous coding workflows as core infrastructure. That distinction signals a new era of AI pricing power and vendor leverage that every business leader should understand.

    Meanwhile, OpenAI has filed a confidential IPO prospectus targeting September 2026, with Anthropic targeting October. Back-to-back public listings in the same year will reshape how aggressively both companies price enterprise contracts post-IPO — timing that matters if you're locking in long-term vendor agreements now.

    On the cost side, the shifts are dramatic. Google's Imagen 4 Ultra now prices image generation at six cents per image versus OpenAI's sixteen-point-seven cents — nearly three times cheaper at scale. Zoom further out and per-token costs across the market have fallen roughly ninety percent since GPT-4 launched in 2023, with xAI's Grok now the cost leader. Foundational model inference is commoditizing fast.

    The trust and governance picture is more complex. An EY report finds sixteen percent of businesses are already running autonomous AI agents, with some delegating purchase decisions and banking interactions. The EU AI Act is now in force, and ISO 42001 makes responsible AI an enforceable management standard — meaning compliance is a product design requirement, not a future consideration.

    This episode covers every story in plain language with clear business implications. No jargon, no hype — just what you need to know and what to do next.

    This episode includes AI-generated content.
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    4 mins
  • AI Costs Surge, Microsoft Copilot Repriced & Meta's 6,000 Cuts

    AI Costs Surge, Microsoft Copilot Repriced & Meta's 6,000 Cuts
    May 22 2026
    (00:00:00) AI Costs Surge, Microsoft Copilot Repriced & Meta's 6,000 Cuts
    (00:00:36) Hardware Relief Is Years Away
    (00:01:12) Infrastructure Bets Signal Long Squeeze
    (00:01:42) Microsoft Copilot Pricing Redesign
    (00:02:08) AI Workforce Cuts Accelerate
    (00:02:40) Regulation Steps Back

    AI pricing just shifted under every business running modern tools. OpenAI has doubled the price of GPT-5.5, Google's latest Gemini Flash is three to six times more expensive than its predecessor, and the cause isn't temporary — agentic AI burns through compute at a rate that has broken the old economics. New inference-optimised hardware from Nvidia, AMD, and Intel won't reach widespread deployment until early-to-mid 2027, leaving model providers with real pricing power and no competitive pressure for at least 12 to 18 months.

    The venture capital signal backs that up. Modal Labs just raised $355 million at a $4.65 billion valuation after growing annualised revenue from $60 million to $300 million in months — investors are betting on a multi-year compute squeeze, not a short-term blip.

    Microsoft has responded to the same pressure by moving GitHub Copilot off per-seat pricing entirely. Usage-based models shift token-budget risk back to customers, and more platforms are likely to follow. If you're negotiating enterprise AI contracts today, the structure you lock in matters.

    On workforce, the pattern has solidified. Meta is cutting around 6,000 roles, Cloudflare 1,100, and Cisco 4,000 — all citing AI efficiency gains. AI-driven headcount reduction is no longer a boardroom debate; it's being approved and announced.

    Meanwhile, regulation is stepping back. The White House delayed a planned AI executive order requiring security evaluations of frontier models, citing competitive concerns. New Zealand is taking a similar stance. Governance arriving after deployment is becoming the default pattern.

    The two watchpoints for the next cycle: will hardware costs actually fall on schedule, and will the workforce cuts deliver the claimed efficiency gains — or create rehiring pressure in 12 months?

    This episode includes AI-generated content.
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    4 mins
  • Enterprise AI Trust, 49% Job Displacement & Nvidia's $40B Risk

    Enterprise AI Trust, 49% Job Displacement & Nvidia's $40B Risk
    May 21 2026
    (00:00:00) Enterprise AI Trust, 49% Job Displacement & Nvidia's $40B Risk
    (00:00:46) Unframe $100M Production Signal
    (00:01:23) Forrester 49% Job Displacement
    (00:02:08) Pentagon Virtualitics OpenAI Partnership
    (00:02:42) Better Futures Audit-Ready AI
    (00:03:09) Nvidia $40B Portfolio Risk
    (00:03:47) Closing Watchpoints

    Enterprise AI is no longer stalling at the pilot stage — and today's stories explain exactly why the logjam is breaking. Tribal AI's $10M raise puts governance at the centre of agent deployment, solving the permission and data-visibility problems that have killed more rollouts than any capability gap. Alongside it, Unframe's $100M in total contract value — reached in twelve months with 400% net revenue retention — is the clearest production signal the market has seen: companies aren't just trialling AI, they're expanding it aggressively.

    On the workforce front, Forrester's forecast that 49% of customer service jobs will be displaced by AI agents by 2030 demands immediate attention. Leading companies are already routing 68–96% of customer inquiries through AI agents today. Anthropic runs its own support at 96%. Heathrow Airport is at 90%. The displacement curve is moving five to ten times faster than earlier automation waves — which means workforce planning benchmarked to 2030 is already behind.

    Government adoption is accelerating in parallel, with Virtualitics and OpenAI partnering to bring frontier reasoning models into Pentagon and federal agency operations via the Iris platform. In regulated industries, Irish startup Better Futures raised €600K for EVA, an audit-ready AI documentation platform for aerospace and pharma — a small raise signalling a large procurement gap that standard generative AI tools cannot fill.

    Finally, Nvidia's AI ecosystem investment portfolio now exceeds $40 billion, raising questions about vendor-financing risk that echo dot-com-era patterns. The exposure is unconfirmed as a problem — but it's the unresolved variable sitting under every bullish infrastructure forecast right now.

    This episode includes AI-generated content.
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    5 mins
  • OpenAI On-Premises, Gemini Spark & Federal AI Contracts

    OpenAI On-Premises, Gemini Spark & Federal AI Contracts
    May 20 2026
    (00:00:00) OpenAI On-Premises, Gemini Spark & Federal AI Contracts
    (00:00:56) Eudia-OpenAI Federal Expansion
    (00:01:48) Google's iPhone Gambit
    (00:02:20) Gemini Spark Agentic Capability
    (00:02:53) Apple-Google AI Integration
    (00:03:21) What to Watch Next

    Enterprise AI is leaving the cloud and entering the building — and today's episode maps exactly what that means for your organisation.

    OpenAI's Codex is now available on-premises through a new integration with Dell's AI Data Platform, opening the door for regulated industries — defence, finance, legal — that could never send code to an external server. With Dell's five thousand AI Factory customers already deployed, the distribution channel is real and the go-to-market motion is clear: model plus data platform plus governance, bundled and sold to procurement teams.

    In the government sector, legal AI startup Eudia has announced a co-building agreement with OpenAI targeting US federal agencies, extending AI adoption into legal review and acquisition workflows. Federal contracts are sticky and multi-year, but unresolved data classification constraints are the proof point to watch.

    On the consumer-to-enterprise crossover front, Google used an iPhone 17 Pro Max to showcase Gemini Spark at I/O 2026 — a deliberate signal that the AI layer is decoupling from the hardware layer. Gemini Spark itself launches as a genuine agentic system capable of executing multi-step tasks autonomously, putting it in direct competition with ChatGPT Canvas and Claude's workflow tools. A confirmed Apple-Google alignment means Gemini models will power future Apple Intelligence features, though whether competitors get equivalent access remains unanswered.

    The throughline: enterprise AI is consolidating around governed, infrastructure-native deployment. The metrics to track — Dell AI Factory scale, Eudia's federal compliance framework, and Gemini Spark's actual ship date — will tell you how fast this shift is moving.

    This episode includes AI-generated content.
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    4 mins
  • Dust's $65M Workplace Agent, SEO's Collapse & Defense AI Surge

    Dust's $65M Workplace Agent, SEO's Collapse & Defense AI Surge
    May 19 2026
    (00:00:00) Dust's $65M Workplace Agent, SEO's Collapse & Defense AI Surge
    (00:00:38) Dust Sixty-Five Million Workplace AI
    (00:01:13) SEO Is Over, What Replaces It
    (00:02:05) Innovaccer Layoffs AI Restructuring Cost
    (00:02:45) Defense AI Funding Surge
    (00:03:12) What To Watch Next

    AI agents embedded in enterprise workflows are no longer a future bet — they're a funded, fast-moving category attracting hundreds of millions of dollars in a single day. In this episode, we unpack what that means for your business, your teams, and your budget.

    Dust raised $65 million to deploy AI agents directly inside Slack, Notion, and GitHub — systems designed to retrieve, synthesize, and act on internal knowledge across your full technology stack. The honest question for any business leader: which internal roles does this displace, and on what timeline?

    Meanwhile, the SEO industry is facing a structural reckoning. Searchable raised $14 million to solve a problem that barely existed three years ago — getting your brand visible inside AI-generated answers rather than search results. With 65% of searches now ending without a click, the marketing budget implications are real and arriving fast.

    We also cover Innovaccer's third major layoff in four years — 340 positions cut under the banner of becoming an AI-native company — and ask the harder question: does AI actually fix the unit economics, or does restructuring just buy time?

    On the defense side, Arkeus, Destinus, and others closed major rounds in the same period, signalling that defense AI has become a top-tier venture category with government spending accelerating behind it.

    The through-line: capital is consolidating around infrastructure — agents, compute, quantum networking, AI recruiting. The cost of staying AI-optional is rising. This episode tells you where to watch first.

    This episode includes AI-generated content.
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    4 mins
  • AI Security Gaps, $650M Superintelligence Bet & Revenue Concentration | Ep. 1

    AI Security Gaps, $650M Superintelligence Bet & Revenue Concentration | Ep. 1
    May 18 2026
    (00:00:00) AI Security Gaps, $650M Superintelligence Bet & Revenue Concentration | Ep. 1
    (00:01:05) Recursive Superintelligence $650M Bet
    (00:02:10) AI Security Vulnerabilities Exposed
    (00:03:04) AI Revenue Concentration Risk
    (00:03:37) NVIDIA India and New AI Roles
    (00:04:19) What To Watch Next

    Today's AI industry news covers five high-stakes developments every business leader should understand before the week goes further. Google DeepMind launches a climate AI accelerator across Asia-Pacific — not philanthropy, but a strategic move ahead of a projected $78 billion enterprise AI market in the region by 2026. The geography shift signals where the next wave of enterprise adoption is breaking.

    A startup called Recursive Superintelligence — founded by alumni of OpenAI and DeepMind — raises $650 million at a $4.65 billion valuation, backed by GV, Greycroft, AMD, and NVIDIA. The premise: machines that improve their own learning without human input. The science is unproven, but institutional capital is pricing in the possibility anyway. If it works, competitive timelines across every industry compress dramatically.

    At the Pwn2Own security conference in Berlin, hackers collected $1.3 million by exploiting 47 vulnerabilities in AI tools including Codex, Cursor, and LM Studio — products already deployed across engineering teams worldwide. AI security maturity is not keeping pace with adoption speed. If your teams are using AI development tools, this is your prompt to audit them.

    On the revenue side, the top 34 AI startups now generate $80 billion annualised — up 112% in six months. But OpenAI and Anthropic together hold 89% of that total. Fast growth and sharp concentration are happening simultaneously.

    Finally, NVIDIA moves deeper into India with a reported $20 million investment in Simplismart, and new AI-native job titles are appearing with salaries exceeding $200,000 — the workforce transformation is now visible in compensation data.

    A YesWee production.

    This episode includes AI-generated content.
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    5 mins