GET IN EARLY! These 7 Stocks are About to Explode

Finance-focused subtitle summary

Market / macro backdrop & catalysts

Upcoming key data

• CPI (Consumer Price Index)
  • Expected May: +0.5% month-over-month (MoM) and >3% annual
  • June forecast: -0.2% MoM (energy-driven)
  • Core inflation: about +0.1% MoM
• Why it matters
  • A CPI drop could ease pressure on the Fed to hike and improve the rate narrative for equities.

Earnings catalyst

• Q2 earnings season begins Tuesday
• S&P 500 earnings expectations
  • Expected profits: +23% YoY
  • With typical beats, growth could land nearer ~+28%
• Sector highlights
  • Energy: forecast +122% YoY (linked to “oil support” amid Iran-related developments)
  • Tech: expected 60%+ earnings growth
• Breadth risk
  • 6 of 11 sectors forecast earnings growth <10%
  • Management guidance will be critical to ensure weakness isn’t recession-like
• Q3 estimate
  • +26% growth, described as potentially creating an “earnings bonanza” that could make stocks look cheaper

Market valuation / performance metrics (explicit numbers)

S&P 500 valuation (current framing)

• Trading at ~just under 26x P/E
• Stated calculation:
  • Index close ~7575
  • Trailing profits ~$293 over the last four quarters
  • Implied valuation: $25.85 per $1 of earnings (~25x)

Forward-improved earnings scenario

• Replacing Q2 2025 earnings ~$67 with estimated Q2 2026 ~$86
  • Trailing earnings rise to over $312
• Resulting valuation:
  • P/E falls to ~24.2x
• Claim:
  • This is closer to 5-year/10-year average levels—less “expensive bubble” than ~28x cited around 2024–2025 peaks

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Options / rates trade (explicit recommendation)

TLT options trade

• TLT (iShares 20+ Year Treasury Bond ETF)
  • Fell ~1.2% last week due to higher rates tied to renewed Iran war concerns
• Options position
  • Held and adding after a prior call spread
  • Structure described:
    • Bought $85 calls
    • Sold $87 calls
    • Initial credit/premium: ~$0.93
  • Now valued at ~$0.56 each
• Thesis / timeline
  • Expects a rates turnaround if inflation continues cooling and potential ceasefire developments occur
• Target timeframe
  • August 21 expiration
• Price objective
  • If rates improve, expects TLT back above $85/share

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“AI is broken” thesis → cost-control infrastructure as the investment theme

Core argument

• AI adoption is driving rising inference/token costs (“token maxing”)
• Token usage increases with:
  • Longer prompts/responses
  • Different model choices
• Companies allegedly “burn budgets” without clear ROI.

Illustrative cost-control failures

• Fortune 500 (Axios cited; unnamed)
  • ~$500 million cost blowout from failing to set limits on employee AI use
• Microsoft
  • Rumored cutbacks after engineers allegedly spent ~$2,000/month each on AI
• Uber
  • Allegedly used its entire AI budget in the first 3 months

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Methodology / step-by-step frameworks mentioned

“Intelligent routing” via AI gateways (cost optimization framework)

• Put a gateway between applications and language models
• For each request:
  • Decide whether it requires a frontier expensive model or can use open-source (cheaper)
  • Determine whether similar work was answered recently (cache/reuse-like logic)
• Route to the best model based on price/performance to reduce token spend at scale

AI agent orchestration / control-tower framework

• Split work into specialized “agents” (example categories: refund vs cleaning vs marketing)
• Pick the most efficient agent for the task
• Track results to confirm agents reduce time and money
• Prevent:
  • Duplicate work
  • Runaway AI usage via centralized management

AI observability / “FinOps for AI” approach

• Measure every request, every agent, every dollar
• Trace:
  • Prompt/model usage
  • Token consumption end-to-end
• Compare prompts/models/agents before production to optimize spend and value

Open-source cost-reduction logic

• Use open-source models on company-owned servers
  • Avoid per-token payments to OpenAI/Anthropic
  • Pay for compute/hardware + electricity instead
• Benefit: keep data in-house and reduce vendor lock-in

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Tickers / assets / instruments mentioned (and what they were used for)

AI cost / infrastructure theme

• NVDA (Nvidia) – “barely holding on” since June; referenced as a prior high-return example
• MU (Micron) – same context as NVDA
• AIQ – Global X AI fund (down ~5%)
• NET (Cloudflare) – “AI gateways” / dynamic routing thesis
  • Shares +47% YoY
• NOW (ServiceNow) – AI orchestration/agent control-tower
  • Described as “favorite undiscovered opportunity”
  • Previously bought under $100 (per recommendation)
• DDOG (Datadog) – AI observability/FinOps
  • Stock up 90% YTD (as stated)
• PLTR (Palantir) – security/agents/deployment/orchestration; execution history + token/workflow logs
• BABA (Alibaba) – open-source boom winner
  • Recommended at ~$94/share
  • Stock up 20% in last 3 weeks
  • Qwen referenced: 700M+ downloads and outperformance vs Claude Opus on five benchmarks (as stated)
• QCOM (Qualcomm) – edge AI via on-device model execution (Snapdragon chips)
• AVGO (Broadcom) – edge AI + data center networking/accelerators
  • +46% YoY and “9x since 2022” recommendation

Earnings / stock ideas

• NFLX (Netflix) – “most underestimated” idea; earnings Thursday

Rates / macro hedge

• TLT – used for the call spread trade; expects rebound with easing inflation/Fed concerns

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Key stock-specific numbers & valuation calls

Netflix (NFLX) setup (earnings-based valuation)

Trend

• Shares down 41% over the last year due to slower subscriber/revenue growth

Ad business

• Ads reached 250M monthly active viewers vs 190M prior year (+31% growth)
• Ad tier expansion: 15 more countries

Profitability

• Guidance: profit growth 41% to $3.59/share

Valuation multiples

• Trading at ~24x forward/earnings
• Also stated: ~20x this year’s expected earnings
• “Fair value” estimate: ~30x P/E
• Implied price: ~$107/share (~+47% upside)

Catalysts

• Ad tier expansion
• NFL partnership adding ~5 games

Caution

• Stock has dropped in each of the last four earnings reports, but speaker thinks pessimism is “overdone.”

Cloudflare (NET) “gateway” theme metrics

• Shares +47% in last year
• Gateway positioning: between apps and language models to reduce latency, improve reliability, and route by cost/performance

ServiceNow (NOW) timing & entry

• Recommended buying below $100 last month; “still buying”
• Emphasis: orchestration + measuring agent value

Datadog (DDOG) performance metric

• “Already up 90% this year” (YTD)
• Focus: agent observability (tracing prompts and token usage)

Alibaba (BABA) open-source call specifics

• Entry: ~$94/share (on the 21st of last month)
• Performance since: +20% in the last 3 weeks
• Qwen adoption: 700M+ downloads
• Benchmark claim: outperformance vs Claude Opus on five benchmarks

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Explicit recommendations / decisions

Buy/hold/adding

• TLT
  • Continue holding the $85/$87 call spread
  • Buy more
  • Target: August 21 expiration
  • Bull case: move back above $85/share
• NOW
  • “Recommended buying” when below $100
  • “Still buying”
• BABA
  • Recommended at $94
  • Framed as still having “much further to run”

General framing

• Positions seven AI-related stocks as beneficiaries of “massive returns” from solving AI cost crises (gateways, orchestration, observability, open-source, edge AI)

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Disclosures / disclaimers

• No explicit “not financial advice” disclaimer was included in the provided subtitles.

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Presenters / sources mentioned

• Presenter: Joseph Hogue (referred to as “Joseph Hogue with your weekly stock market update” / “Hey Bowtie Nation”)
• Sources cited: Axios
• Other references: Databricks CEO Ali Ghodsi
• Claims mentioned from companies: Microsoft and Uber (presented as rumors/stories in the subtitles)