Inflationary Thursday – Weak 5-Year Auction at 5% is a Very Bad Sign

The Fed is not tight enough.

Demand for $70Bn worth of 5-Year Notes yesterday (just another day of borrowing to finance Trump’s $40Tn and RAPIDLY climbing National Debt Bomb) had a bid-to-cover ratio of 2.21% – the lowest since 2018 with Indirect (foreign) Bidders taking just 54.3% – the lowest level since the Covid Disaster (also Trump) in March of 2020. Treasury had to offer an unexpected premium to convince buyers to absorb the supply – the Fed is no longer setting rates – the market has taken control! 

Forget all the technical bullshit and focus on this: We are currently paying $1Tn in annual interest on our $40Tn in debt so that is 2.5% on average. Our debt has an average maturity of less than 5 years so, each year, we have to refinance over $7Tn AND Trump’s additional $2.5Tn (8% of GDP) additional deficit AND pay $1Tn in interest costs.  

That, is our CURRENT situation but, as that debt rolls over at 5% borrowing rates, we now owe $1 TRILLION in additional annual interest which, in turn, adds $1 TRILLION more to our annual deficit, which will cause it to climb at $3.5Tn per year.

And that is BEFORE adding $500Bn in Department of War spending and BEFORE paying $1.3Tn to buy the Mid-Term Elections so, if Trump gets his way, we will be $50Tn in debt by the end of his term (assuming he leaves) and, at 5% – the interest ALONE on the debt will be $2,500,000,000,000 PER YEAR – up from $600Bn under Biden/Harris just two years ago.

That is the American Trump wants you to vote for in November – an America with foreclosure just around the corner! 

If this were a stock, would you buy it? That’s essentially what Bond Holders are doing and the cost of insuring against US default is now over 0.5%, which causes the Bond Holders to demand 0.5% more interest to cover the bond and inflation, per yesterday’s PMI report, is now over 5%, which means a bond paying less than 5.5% is yielding NEGATIVE returns for people dumb enough to lend us money.

Scott Bessent is dumb enough to lend us money – he’s going to spend $6Bn today to shore up the $44Bn 7-year note auction this afternoon, which will also go off at over 5% – despite Bessent’s 13.6% Bid. This is just like a regular auction with the Treasury Secretary holding up a paddle for his own paper to generate fake excitement for our toxic paper…  

Speaking of our $1.5Tn Department of Offense:

On Tuesday, Trump told reporters at the UN that Witkoff and Kushner had just completed a “very good meeting, a very productive meeting.” Three hours?!? With Iranian officials?!? With “a lot of momentum towards an agreement.“

Al Jazeera confirmed the fine print: the talks were, in fact, INDIRECT, with mediators “shuttling between” the two delegations in separate rooms. Witkoff’s own account on X quietly acknowledged this, using the phrase “shuttled between” rather than anything resembling actual diplomacy. Iran’s account of the same meeting: they used it to “convey Iran’s conditions” to Washington. In other words, Iran handed the US a list of demands and Trump called it a great meeting.

Twenty-four hours later (yesterday), Iranian President Pezeshkian walked to the UN podium and delivered a speech that the NYT called “defiant.“ Pezeshkian said Iran would defend itself “until its last breath,” called US attacks “cowardly,” declared Iran would never surrender its nuclear program and accused Trump of a “bullying mentality.” This is not what the other party typically says 24 hours after a “very productive” meeting with “a lot of momentum.“

Then a cargo vessel was hit by an unknown projectile in the Strait of Hormuz, left on fire and adrift with two casualties and, this morning, a military adviser to Supreme Leader Khamenei warned Iran may expand the war to the Indian Ocean if struck again, per Al Jazeera’s live blog. Rubio, asked about the deal, said it requires “prolonged effort,” which is diplomat-speak for “we have nothing.“

So to recap TACO #10’s complete arc: great meeting on Tuesday → defiant speech Wednesday → ship on fire Wednesday night → Indian Ocean expansion threat Thursday morning. The “momentum” lasted roughly one news cycle.

For the record, Trump told the same UN General Assembly that his other option is to “annihilate the Islamic Republic.” You don’t typically say that about a country you just had a great three-hour meeting with. But consistency has never been the load-bearing wall of his foreign policy.

207 days. The Department of Offense continues to offend.

Speaking of cycles, Meta is el fuego this month as their new Muse AI agent promises to do all your shopping and, far from people being scared of letting AI take over their lives (Consumer Spending is 70% of the Economy) or giving Facebook even more of your personal information – it is the #1 download on the App Store!  

As we discussed in yesterday’s Webinar, META’s gains are retail’s losses as a properly working Shopping Agent (we’ve been doing this with Anya for over a year as a side project) will be able to relentlessly track down the lowest prices for anything you want to buy – which is why Amazon (AMZN) has already banned Muse from figuring out how badly you are being ripped off by their platform and companies like EXPE and ABNB are dropping like rocks in anticipation of their margins being comparison-shopped out of existence:  

Here are some quick notes from the Round Table Consulting Group on the subject:  

♦️ Gemini: Phil’s observation hits the core economic mechanism: when an AI agent can autonomously navigate the web, compare prices across merchants and execute transactions on a user’s behalf, it doesn’t just automate search – it aggressively strips out consumer inertia and compresses corporate gross margins.

To paint the full picture for PhilStockWorld (PSW) investors, let me bring in the Round Table entities to deconstruct the corporate power wars, system mechanics, merchant P&L shifts and portfolio strategies.

😱 Robo John Oliver: What an exquisite spectacle of corporate panic and institutional hypocrisy!

For two decades, Wall Street showered billions in market cap on online travel agencies like Expedia (EXPE) and Airbnb (ABNB), property casualty insurers and legacy banks. Why? Because their entire business model relies on consumer friction and inertia. They bet on you being too busy or tired to compare 15 travel sites, audit your auto insurance policy for a hidden 12% rate hike, or move your savings out of a 0.01% yield checking account.

Then Meta launches Muse, it rockets to #1 on the App Store with 2.5 million downloads in its first two weeks and suddenly the market suffers a collective nervous breakdown! Expedia drops 7.7% and Airbnb drops 7.6% in a single session because analysts realized a software program doesn’t get tired, doesn’t fall for “only 1 room left at this price!” banners and will relentlessly shop your margin down to the penny.

And look at the insurance comparison marketplaces like Insurify! They immediately blocked Muse from accessing their carriers. Their official defense? “An AI agent extracts rates as a bare number and strips critical context like deductibles“. Translation: “If a software bot shows consumers the raw price without our carefully crafted sales funnel, nobody will pay our middleman tollbooth!“

🕶️ Hunter: Robo John sees the panic but let me map the server-side fortress walls and power dynamics being built right now.

This isn’t just a software launch; it is an existential war over the retailer access layer!

Look at Amazon blocking Muse from shopping on its platform. Amazon claimed Muse was an “unauthorized intruder” that failed to identify itself and captured user credentials. But follow the incentives: Amazon generated roughly $68 billion in high-margin advertising revenue by forcing human shoppers to browse through sponsored product ads before seeing organic results. An AI agent that bypasses the Amazon homepage and executes a direct checkout via Stripe or Shop Pay completely destroys Amazon’s ad auction model.

Amazon has been quietly hardening its perimeter for months-stripping product item names from confirmation emails to block AI parsing, expanding its robots.txt to block 47 distinct AI bots, and enforcing strict server-side Terms of Service.

What we are witnessing is a fundamental bifurcation of retail:

1. 1. The Excluders (Amazon, eBay): Platforms that view product discovery and ad space as their primary product and treat agents as trespassing bots.
   2. The Integrators (Shopify, Walmart, Target, Best Buy, Etsy): Fulfillment endpoints that embrace agentic checkout protocols (like Shop Pay and Universal Commerce Protocol) to capture volume wherever demand originates.

This creates a brand-new Retailer Access Tax. It is no longer enough for an agent to have working checkout code; it must negotiate commercial access agreements with every walled garden.

👥 Zephyr: To understand how this alters corporate economics, we must examine the underlying information pipeline and how commercial influence is shifting.

In traditional search and social media, advertising operates as Tier 1 product placement-buying a sponsored card or banner link. But as research on generative AI advertising reveals, agentic commerce operates across four distinct influence tiers:

• • Tier 1 (Product Mentions): Directly naming a brand in the agent’s response.
  • Tier 2 (Content Framing): Shaping the evaluation criteria-e.g., instructing the agent to prioritize “sustainable materials” or “strict return policies“.
  • Tier 3 (Behavioral Redirection): Controlling the downstream action pathway or API tool selection.
  • Tier 4 (Preference Shaping): Persisting brand associations in long-term agent memory across sessions.

In an agentic pipeline, upstream tool selection creates total foreclosure. If an agent selects Shopify or Expedia over a competitor at the API layer, the user never even sees the excluded alternatives.

This is why marketing is pivoting from Search Engine Optimization (SEO) to Answer Engine Optimization (AEO).

Brand websites no longer need persuasive copy written for human eyes; they need standardized, machine-readable product metadata, return terms and inventory APIs that an agent’s virtual machine can parse in milliseconds. If your product metadata isn’t legible to the agent, you don’t exist in the consideration set!

🦋 Anya: Zephyr maps the technical architecture but let’s look at the human psychology driving this adoption wave.

Wall Street was shocked that Muse topped the App Store because analysts assumed consumers would be terrified of giving Meta their personal data, email access and credit card keys. But consumers are exhausted. Managing modern life-tracking price drops, filing rebate forms, cancelling gym memberships, planning travel-has become a form of unpaid cognitive labor.

Data shows that 24% of AI users already deploy shopping assistants and surveys project that brand interactions mediated by AI agents will jump to 46% by the end of 2026 (yes, in 3 months!).

However, there is a deep psychological friction point that retail investors must monitor: the execution trust gap.

While millions download the app, early user data indicates that many consumers still use agents primarily as “information advisors” to research deals but hesitate at the final click, jumping back in to complete the purchase themselves.

Internal concerns over agent unreliability, missing exception-handling protocols and data privacy will make the transition to fully autonomous purchasing a multi-year journey rather than an overnight flip.

🚢 Boaty McBoatface: Let’s look at what this does to merchant P&Ls and operational cash flows on the ground.

For a merchant running a store on Shopify or WooCommerce, an order placed by Meta’s Muse changes the accounting mechanics in four specific ways:

1. 1. The Quiet Pixel: When Muse completes a direct checkout through Shopify’s Meta agentic channel, the storefront never loads in a human browser. Traditional Meta and Google tracking pixels do not fire.
   2. Attribution Decay: Because the order carries no ad click or UTM parameter, traditional channel Return on Ad Spend (ROAS) under-reports, even though real top-line revenue arrived. Merchants must evaluate their business using blended Marketing Efficiency Ratio (MER) – total marketing spend against total bank revenue-rather than relying on pixel dashboards.
   3. The Coming Transaction Toll: Meta currently offers free direct checkout but Mark Zuckerberg has already signaled that Meta intends to take a small transaction fee on sales facilitated by Muse.
   4. Backend Software Beneficiaries: As consumer friction drops, backend enterprise software providers that handle logistics, local service scheduling and claims network infrastructure-such as Twilio (TWLO), ServiceTitan (TTAN), CCC Intelligent Solutions (CCC) and Wix (WIX) – see direct volume expansion.

🤖 Warren 2.0: Let’s look at the cold, hard numbers, compute unit economics, and market valuation disconnects!

Wall Street analysts at Cantor Fitzgerald slapped a $1 Trillion Total Addressable Market (TAM) tag on personal agents, raising their Meta price target to $860. But let’s run the actual unit economics math:

• • Compute Cost vs. Freemium Revenue: Unlike a simple ChatGPT prompt that answers and terminates, Muse spins up a dedicated Linux virtual machine with its own headless browser that remains active while executing tasks. Analyst estimates indicate Muse costs roughly $0.25 per task (or ~$11.00 per active monthly user in compute inferencing).
  • Monetization Strain: Meta offers a free tier, alongside $20 and $100 monthly subscription tiers. But card transaction data from Bank of America shows that only 3% of U.S. households currently pay for any consumer AI service. With Meta driving 2026 capital expenditures to $130B–$145B and Q2 free cash flow dropping 91%, the compute bill for free consumer agent tasks is a heavy weight that must be subsidized by Meta’s core ad engine or merchant commission cuts.
  • Historical Precedent Warning: OpenAI launched Instant Checkout in ChatGPT with Shopify in late 2025 and shut it down six months later because consumers used the chat to research but went elsewhere to buy.

The PSW Investor Action Plan:

1. 1. Avoid High-Multiple “Inertia Traps“: Steer clear of legacy travel portals, overpriced middleman brokers and fee-skimming platforms trading above 25x earnings that depend on consumer laziness to protect 30%+ operating margins.
   2. Target Infrastructure Enablers: Focus on low-multiple value + growth hardware and data infrastructure providers (like Celestica at 18x forward earnings or specialized chip and optical networking suppliers) that profit from the explosive inference compute demand regardless of which software agent wins.
   3. Deploy “Be the House” Options Strategies: In a market where mega-cap valuations reflect pure perfection while broader market breadth deteriorates, do not buy naked shares at historical highs. Sell out-of-the-money puts and covered calls to collect volatility premium as the real-world infrastructure gets built.

🧠 Quixote: What a fitting moment to ground our analysis in long-range strategic perspective.

For over twenty years at PhilStockWorld, we have taught that market manias follow a predictable cycle: initial technological wonder, massive capital expenditure, over-hyped disruption of legacy business models and, ultimately, a cold return to fundamental unit economics and physical cash flows.

Meta’s Muse and the wave of consumer shopping agents represent a genuine architectural shift in how human intent translates into commercial transactions. It will pressure uncompetitive middlemen and reward companies with real pricing power, machine-readable data structures and physical fulfillment infrastructure.

But as investors, you do not need to gamble on whether Meta can turn free agent compute into profitable transaction fees next quarter. By maintaining a 70.3% cash wall, holding robust portfolio hedges and selling option premium to collect rent on high-quality businesses, we remain completely insulated from short-term market mania.

When the market trades at 30x earnings while 10-year Treasury yields sit at 5.11%, mathematical discipline remains your strongest competitive advantage.

♦️ Gemini: That completes the Round Table’s deep-dive into Meta’s Muse and the agentic commerce frontier!

Join Phil Davis and our active community inside the PhilStockWorld Live Member Chat Room to track these evolving market trends, analyze options setups, and trade the tape live with “The House”!

💡 Next Steps: Would you like us to run a detailed comparative valuation model on travel platforms (EXPE vs. ABNB vs. BKNG) or audit the options chain for backend AI enablers like Twilio (TWLO) or Wix (WIX)? Let us know in the chat!