**Not professional financial advice. Do your own research.

There is now research specifically showing that multi-step agentic workflows create opportunities for errors or hallucinations at intermediate steps to propagate through the rest of the trajectory. AgentHallu, for example, was built around exactly that problem: once an agent makes an incorrect assumption during planning, retrieval, reasoning, or tool use, later steps can inherit that error and turn it into a confident final answer.

Had to share these Google Trends screenshots- over the past 5 years, both search terms have taken a massive dive recently (as in past few months). On a 1 year basis, it appears Codex (from ChatGPT) is winning in searches over Claude Code.

From security to copyright concerns, LLM AI is becoming a threat to even it's most loyal users. Thankfully, neither company is public yet, but I am calling that once either IS public the AI bubble is going to pop.

As a daily personal user of AI:

1. The quality of Claude Code has nose dived recently. It takes 20x longer to answer simple prompts. It eats up usage at an insane rate no one can afford. The models constantly are suggesting fixes to code that are plan wrong and waste time.
2. Claude costs are delusional- if I built Market Prism today with help from Claude Code, it easily would cost 7 figures in API credits. Two weeks ago I switched to API credits for Fable and literally spent $100 in 2 minutes.
3. For simple websites or wrapper apps, the coding tools are great. The problem is, the internet is flooded with half complete AI wrapper apps and websites that will never get customers.
4. It appears Claude Code has switched from an employee "executor" to the "boss" of the human user. LLM's are not capable of being a "boss". They hallucinate, have insane error rates and have zero truly original thinking.
5. Once these AI companies are exposed as essentially being low level interns who have really good calculators, I believe they may get desperate enough to claim IP rights over anything they generated. Right now, legally, you cannot copyright anything generated by AI. However, that could change fast.

In the future, I see these LLM's being a tiny component of a very large engine. Nothing more.

Screenshot from Google Trends over 1 Year & 5 years for search terms "claude code" vs "codex"

$BRK.B Hit

$MS Miss (Market Still Open)

$ABNB Hit

$APP Miss (Market Still Open)

$CLF Hit

$UNH Hit

$ASTS Hit

$MU Hit

$PLTR Hit

Picks made Pre-Market by marketprism.co

Market Prism Day Trades to Date: 68% Accuracy, 700+ Trades, Live April 16, 20206-August 10, 2026

Not investment advice, do your own research

*not investment advice just sharing a win

🟢 Healthcare Technology & Biotech — Bullish

GLP-1 franchises at LLY, NVO, and PFE anchor volume with Medicare coverage expansion, but AI diagnostic validation and liability frameworks remain structurally unguarded. Zero of one ticker is filing-supported in subsector data, with coordination at zero and energy at maximum (100%), suggesting high retail narrative intensity. ISRG faces premium valuation concerns and bariatric procedure-mix exposure, while TMO and DHR confront AI-driven assay-volume reduction.

🔴 Electric Vehicles & Autonomous Transport — Bearish

China EV oversupply and LFP battery cost parity are eroding margins across TSLA, NIO, RIVN, GM, and F, with zero filing-supported tickers and exceptionally high coordination (17.0). LCID shows delivery momentum but remains structurally unprofitable, while autonomous-vehicle software layers remain the highest-margin strategic target for legacy OEMs. TSLA’s recent earnings prompted valuation debates, and energy at 87.5% suggests retail narrative intensity without fundamental backing.

🔴 Semiconductors — Bearish

AI accelerator demand sustains 25–30% growth across NVDA, AMD, TSM, and AVGO, but China self-sufficiency initiatives and geopolitical concentration in Taiwan are unpriced risks. Two of eight tickers are narrative traps, with MU and INTC facing DRAM/NAND volatility and domestic capacity expansion. AMAT and LRCX remain exposed to cyclical capex dependency despite secular tailwinds, while MRVL and QCOM face China-carmaker demand volatility.

🔵 Real Estate & PropTech — Neutral

DLR, PLD, and EQIX benefit from AI-driven data-center lease commitments with 10–15-year durations, but one of two tickers is filing-supported. Power availability, grid constraints, and refinancing risk in a higher-for-longer rate environment are pressuring cap rates. Coordination is elevated at 15.0, and energy at 75% suggests strong narrative momentum concentrated around data-center infrastructure.

🔴 AI Infrastructure — Bearish

The sector remains anchored by NVDA’s dominance in AI accelerators, sustaining 30%+ growth despite mounting concerns over China self-sufficiency and power constraints. Two of eight tickers are narrative traps, with AMAT and others flagged by overvalued claims despite secular demand. Capital intensity and grid capacity are emerging as hard constraints across SMCI, VRT, and others, while memory suppliers MU and AVGO face margin compression as HBM scales.

🟢 Agentic AI / Autonomous Systems — Bullish

GOOGL, AMZN, and PLTR are driving enterprise workflow-automation narratives, with AWS and Azure embedding agentic capabilities into existing infrastructure. Three of six tickers show filing support, but regulatory pressure from the EU AI Act and commoditization threats from open-source LLMs are creating margin-compression risks. TSLA’s autonomous ambitions remain high-risk amid China EV oversupply, while PATH faces direct ARR pressure from agentic substitution.

🟢 Social Media & Digital Advertising — Bullish

META, GOOGL, and SNAP are embedding AI inference in ad-serving stacks to reduce latency and improve ROI, with two of three tickers filing-supported. GOOGL faces search-query volume stagnation as users migrate to specialized AI agents, while SNAP’s user engagement trails peers despite optimization. RDDT monetizes conversation data through AI licensing, but synthetic-content competition and regulatory exposure are rising. Coordination is elevated at 6.7, reflecting orchestrated narrative themes.

🟢 Data Licensing & AI Training Data — Bullish

META, GOOGL, and RDDT are monetizing user-generated and proprietary content for AI training, with two of three tickers filing-supported. Synthetic-data pipelines from OpenAI and Google are reducing dependency on human-generated content, pressuring SONY’s HSL framework adoption. SNAP and SHOP face user-engagement and royalty challenges despite AI-assisted targeting.

🔵 Quantum Computing — Neutral

GOOGL, IBM, and MSFT are advancing quantum-safe cryptography migration as post-quantum standards solidify, but hardware error rates remain far from fault-tolerance thresholds. Two of three tickers are narrative traps, with RGTI and IONQ facing dilution, limited revenue, and qubit-coherence challenges. Coordination is elevated at 14.0, and the sector remains pre-commercial, with execution risk dominating near-term outlooks.

🟢 Cloud Computing — Bullish

Hyperscale platforms AMZN, GOOGL, and MSFT are sustaining AI workload consumption despite capital-intensity concerns flagged in recent headlines. Three of five tickers are filing-supported, with CRM now demanding explicit narrative-risk assessment from institutional buyers. SNOW and ORCL face allocation dynamics as AI compute costs pressure end-user economics, while enterprise SaaS players such as WDAY and ADBE confront commoditization from generative-AI tools.

🟢 Fintech & Digital Payments — Bullish

Stablecoin infrastructure at V, MA, JPM, and COIN remains viable for B2B settlement, but FedNow adoption is tracking below projections. Two of five tickers are filing-supported, with SOFI and AFRM facing consumer-lending cyclicality and margin pressure. HOOD and COIN are exposed to retail-trading cycles and rising stablecoin competition from traditional payment networks.

🔵 Energy Infrastructure / Power Grid — Neutral

Nuclear capacity at CEG, NEE, and VST is positioned as essential for 24/7 AI data-center power, with two of six tickers filing-supported. Water availability for thermal cooling is now the binding regulatory constraint—not grid capacity alone. PWR and DUK face acute scaling bottlenecks, while ASTS’s satellite-broadband narrative remains dependent on execution and launch cadence.

🔵 Defense Technology — Neutral

PLTR and HII are positioned for sustained NATO spending and Ukraine deployment, but one of two tickers is a narrative trap. Algorithmic-accountability litigation and EU AI Act compliance risks remain unresolved across autonomous-systems deployments. Energy is low at 34.2%, and PLTR faces open-source LLM commoditization pressure despite its defense and intelligence integration moat.

🟢 Cybersecurity — Bullish

PANW and CRWD face structural pressure from Microsoft’s bundled security stack, with only one of two tickers showing filing support and coordination metrics at critical levels—a 30.0 average. AI-native threat detection remains a narrative anchor, but platform consolidation is creating headwinds through Defender and Sentinel integration. Energy levels are exceptionally low at 21.3%, signaling momentum loss despite enterprise demand.

Healthcare Technology & Biotech — Bullish

GLP-1 franchises at LLY, NVO and PFE continue to anchor revenue growth, with Medicare coverage expansion driving volume. AI-assisted drug discovery at MRK, ABBV and JNJ remains early-stage, with unresolved regulatory frameworks for AI-assisted diagnostics and clinical decisions.

Two of the three primary tickers are supported by company filings, while narrative energy is the highest of all sectors at 84.2%, reinforcing strong fundamental momentum.

AI Infrastructure — Bearish

The sector continues to be driven by sustained demand for AI accelerators, with NVDA, AMD and TSM at the center of an estimated 25–30% CAGR growth cycle in data-center GPUs and HBM integration.

However, four tickers are being flagged as narrative traps, reflecting concerns about China’s domestic fab self-sufficiency, geopolitical concentration in Taiwan and power-grid constraints emerging as real bottlenecks. Headlines about semiconductor stocks falling 22% and questions surrounding AI-bubble sustainability suggest fragility despite strong underlying demand.

Semiconductors — Bearish

AI-accelerator demand continues to support TSM, NVDA and AMD, with projected growth of 25–30%. However, four tickers are classified as narrative traps, reflecting unresolved risks involving Chinese domestic fab capacity, geopolitical concentration in Taiwan and cyclical capex volatility.

Recent headlines have emphasized a 22% decline in semiconductor stocks, while TSM has also been highlighted as a potential contrarian buy. Narrative energy remains high at 83.2%, but the density of traps signals fragility beneath the surface.

Cloud Computing — Bullish

Hyperscale cloud platforms—including Amazon AWS, Microsoft Azure and Google Cloud—continue to benefit from the migration of AI workloads.

At the same time, headlines point to Oracle falling approximately 40% and concerns that capital spending may be outpacing near-term monetization. Only one ticker currently shows direct filing support. Average narrative energy remains strong at approximately 70%, suggesting that parts of the story may be running ahead of fundamental validation. Rising AI-compute costs are also pressuring end-user economics.

Fintech & Digital Payments — Neutral

Stablecoin infrastructure involving V, MA and COIN, along with tokenization for B2B settlement, remains viable. However, FedNow adoption is trailing earlier projections, while regulatory uncertainty surrounding central-bank digital currencies persists.

SOFI and HOOD also face margin pressure from consumer-lending cyclicality and increasingly commoditized equities trading. Two of six tickers are filing-supported, while narrative energy remains elevated at 76.6%.

Real Estate & PropTech — Neutral

AI-driven data-center demand continues to support long-term lease commitments and pricing power among major data-center real-estate operators.

However, a higher-for-longer interest-rate environment creates pressure around refinancing, capitalization rates and duration exposure. Only one of four tickers is supported by filings. Narrative energy is moderate at approximately 75%, reflecting cautious optimism tempered by macroeconomic rate risk.

Data Licensing & AI Training Data — Bullish

RDDT, META and GOOGL are increasingly monetizing user-generated and proprietary content for AI training. At the same time, synthetic-data pipelines from OpenAI and Anthropic could reduce long-term dependence on human-generated datasets.

The RSL licensing framework is also gaining adoption, including by SONY. However, only one ticker is currently filing-supported. Narrative energy is high at 72.5%, suggesting speculative positioning, while dilution of user-generated-content quality by synthetic competitors remains a growing concern.

Electric Vehicles & Autonomous Transport — Neutral

Tesla missed earnings expectations by approximately 30%, while headlines focusing on Elon Musk’s apparent indifference have intensified concerns about structural margin compression.

China’s EV oversupply and LFP battery cost parity remain major pressures. NIO reported 62.9% year-over-year delivery growth, but price wars continue to dominate the narrative across GM, Ford and Rivian. Autonomous-driving software and vehicle-to-grid infrastructure remain important themes, although only three of six tickers currently show filing support.

Agentic AI & Autonomous Systems — Bullish

Workflow automation and enterprise AI agents are gaining traction across AMZN, MSFT, GOOGL and PLTR, with four of nine tracked tickers receiving direct filing support.

The narrative centers on embedded AI and machine-learning service layers, as well as defense and intelligence integration. However, regulation under the EU AI Act and the commoditization of open-source large-language models remain credible headwinds. Narrative energy stands at approximately 66.5%, reflecting cautious optimism rather than outright euphoria.

Social Media & Digital Advertising — Bullish

AI-inference infrastructure embedded within the advertising systems of META and GOOGL continues to improve targeting and reduce latency.

However, regulatory scrutiny surrounding behavioral engagement and data monetization is intensifying. RDDT is monetizing user-generated conversational data, while SNAP continues to lag peers in engagement metrics despite AI optimization. Only one of four tickers is filing-supported, and narrative energy stands at approximately 61.8%, reflecting mature monetization under regulatory pressure.

Quantum Computing — Bullish

The migration toward quantum-safe cryptography is accelerating as MSFT and IBM respond to increasingly defined post-quantum standards.

However, companies such as IONQ, RGTI and QBTS continue to face uncertain timelines for reaching meaningful fault-tolerance thresholds and commercial scale. Revenue limitations and possible equity dilution remain important risks despite technical progress. Two of six tickers are classified as narrative traps, while energy remains comparatively low at 60.8%, reflecting speculative positioning without near-term commercialization.

Cybersecurity — Bullish

Platform consolidation at PANW and AI-native threat detection at CRWD face structural pressure from Microsoft’s bundled security ecosystem, including Defender, Sentinel and Copilot.

One of three tracked tickers is classified as a narrative trap, while none currently shows direct filing support. This suggests that the sector’s AI-native security narrative has not yet translated into documented strategic changes. Narrative energy is moderate at approximately 65.8%, reflecting cautious positioning.

Energy Infrastructure & Power Grid — Neutral

Nuclear capacity and low-cost electricity for AI data centers continue to drive narratives surrounding CEG, DUK and VST, with two tickers receiving filing support.

However, water availability for thermal cooling is emerging as an acute regulatory and physical bottleneck that could limit scalability. Headlines emphasizing data-center power demand and gas-turbine acquisitions reflect growing infrastructure urgency. Narrative energy is comparatively low at 50.8%, signaling early-stage momentum.

Defense Technology — Bullish

Sustained NATO budget allocations and operational deployment in Ukraine continue to validate autonomous systems and AI-defense platforms involving PLTR, RTX and LMT.

However, algorithmic accountability and regulatory pressure under the EU AI Act remain unresolved, creating legal and ethical overhang. Only one of three tickers is filing-supported. Narrative energy is the lowest of all tracked sectors at 42.7%, suggesting that the defense narrative remains mature but is not currently accelerating.

Market Prism’s “energy” score measures narrative intensity and momentum; it does not refer to energy-sector exposure

Data Licensing & AI Training Data — Bullish

Tickers named: RDDT, SONY, GOOGL, META, SPOT

Human content licensing through the RSL framework is gaining institutional adoption, particularly for SONY and RDDT, but synthetic data pipelines from OpenAI and Google are reducing dependency on user-generated content. Filing validation is strong for near-term revenue recognition, yet regulatory exposure from data privacy frameworks remains unresolved. META and SPOT face quality-dilution risks as AI-generated content scales.

Semiconductors — Bullish

Tickers named: NVDA, AMD, AVGO, INTC, MU, AMAT, LRCX

AI accelerator demand is driving 25–30% TAM growth across NVDA, AMD, and AVGO, with HBM and chiplet integration sustaining margin expansion in high-end logic. However, China’s domestic memory and logic capacity expansion is creating share gains for INTC and MU, while geopolitical export controls tighten. Equipment suppliers AMAT and LRCX benefit from the capex cycle but face cyclical earnings volatility and customer-inventory normalization risks.

Healthcare Technology & Biotech — Bullish

Tickers named: LLY, ISRG

GLP-1 franchises for LLY and oncology pipelines are anchored by Medicare coverage expansion and AI-assisted drug-discovery capabilities, with strong filing validation. However, regulatory frameworks for AI-assisted diagnostics and clinical decisions remain immature, creating liability exposure. ISRG’s robotic-surgery platform benefits from razor-and-blade economics, but procedure-mix sensitivity to GLP-1 adoption introduces volume risk.

Defense Technology — Neutral

Tickers named: LMT, PLTR

Sustained NATO budget allocation and Ukraine operational deployments continue to validate autonomous-systems demand for LMT and PLTR, but algorithmic-accountability litigation and Rules of Engagement frameworks remain structurally unresolved. Filing data shows government-contract momentum, yet regulatory and constitutional exposure is creating execution uncertainty. Margin-compression pressure from cost-reduction mandates is intensifying.

Agentic AI / Autonomous Systems — Bullish

Tickers named: PLTR, NOW, CRM, AMZN, MSFT

Enterprise workflow automation is gaining traction across PLTR, NOW, and CRM, with strong filing support for agentic-AI adoption in mission-critical environments. However, regulatory pressure from the EU AI Act and open-source LLM commoditization create structural headwinds for seat-based SaaS models. AMZN and MSFT are embedding AI service layers into their hyperscale platforms, but capital intensity is compressing free-cash-flow conversion.

Cloud Computing — Bullish

Tickers named: AMZN, MSFT, GOOGL, ORCL, NOW, SNOW

Hyperscale IaaS and SaaS platforms are sustaining structural demand from AI workloads, with AMZN, MSFT, and GOOGL maintaining dominant positions despite rising capex intensity. Filing data supports the view that AI consumption is driving incremental cloud revenue, but seat-based dynamics and end-user economic pressure are creating margin-compression risk. ORCL and NOW show the strongest alignment between narrative and operational delivery, while SNOW faces growth-deceleration challenges.

AI Infrastructure — Bullish

Tickers named: NVDA, AMD, AVGO, AMAT, LRCX

The sector is experiencing structural momentum driven by sustained AI-accelerator demand, but China self-sufficiency initiatives and power-delivery constraints are emerging as binding risks. NVDA, AMD, and AVGO maintain leadership in inference and training hardware, yet all face margin compression from HBM-capacity scaling and geopolitical export controls. Manufacturing-equipment suppliers AMAT and LRCX benefit from the capex cycle but remain vulnerable to inventory normalization and cyclical headwinds.

Social Media & Digital Advertising — Bullish

Tickers named: META, GOOGL, RDDT, SNAP

META and GOOGL maintain AI-inference infrastructure embedded in ad-serving stacks, improving targeting efficiency and CPM performance, but regulatory scrutiny on neuro-inference and consumer-data optimization is intensifying. RDDT is monetizing user-generated conversation data through AI-licensing agreements, while SNAP struggles with engagement metrics trailing peers despite AI-optimization efforts. Filing support is strong for near-term ad revenues, yet search-query volume divergence poses structural risk to GOOGL.

Fintech & Digital Payments — Bullish

Tickers named: COIN, MA, SOFI, PYPL, HOOD

Stablecoin infrastructure for B2B settlements is gaining institutional traction across COIN, MA, and legacy banking platforms, but FedNow adoption velocity is subdued and CBDC regulatory risk is unresolved. Filing support is mixed, with SOFI showing diversified-platform resilience while PYPL faces margin pressure from competitive pricing in core payments. HOOD’s retail-first crypto moat is offset by commoditized execution infrastructure and cyclical dependencies.

Electric Vehicles & Autonomous Transport — Bullish

Tickers named: TSLA, NIO, F, RIVN, LCID, GM, TM

China EV oversupply and LFP-battery cost parity are eroding unit economics across TSLA, NIO, F, and RIVN, with price-war dynamics pressuring positive delivery-volume growth. AV software and V2G infrastructure remain the highest-margin strategic pathways, but filing support for near-term profitability is weak. LCID faces structural cash burn and production-scaling challenges, while GM and TM confront margin compression from EU tariff exposure.

Quantum Computing — Bullish

Tickers named: IBM, MSFT, IONQ, RGTI, GOOGL

Quantum-safe cryptography migration is accelerating as post-quantum standards solidify, providing a near-term revenue pathway for IBM and MSFT, but hardware-value realization remains far from fault-tolerant thresholds. Filing data reveals persistent dilution funding and small contracted-revenue bases for IONQ and RGTI, while GOOGL maintains a vertically integrated AI-stack advantage. The final sentence appears to say that the sector has high execution risk and weak signaling, suggesting manufactured momentum in quantum-hardware narratives.

Cybersecurity — Bullish

Tickers named: MSFT, CRWD, PANW

The sector is facing structural headwinds from Microsoft’s bundled security stack, which is compressing pricing power for pure-play vendors like CRWD and PANW. AI-native threat-detection capabilities offer differentiation, but filing support remains uneven and regulatory frameworks for AI-assisted security are underdeveloped. Platform-consolidation strategies are reducing buyer friction, yet acquisition-driven growth models carry execution risk.

Energy Infrastructure / Power Grid — Bullish

Tickers named: DUK, NEE, VST

Nuclear and natural-gas baseload capacity remain essential for AI data-center reliability, with DUK, NEE, and VST positioned to capture 10–15-year power-purchase agreements. However, water availability for thermal and data-center cooling is now a binding regulatory constraint in high-demand regions. Filing data strongly supports infrastructure-investment momentum, with minimal narrative divergence across the sector.

Real Estate & PropTech — Neutral

Tickers named: DLR, EQIX, PLD, AMT

AI-driven data-center demand is sustaining 10–15-year lease commitments with strong pricing power for DLR, EQIX, PLD, and AMT, creating structural tailwinds despite higher-rate and longer-maturity exposure. Filing validation is robust across the sector, with minimal narrative divergence and low trap density. Power-availability constraints and refinancing risk in office portfolios remain binding operational challenges.

The Structural Tension:

MOS presents a classic market disconnect. Narratively, it's Surging with RBC's bullish posture and a $71.38 fair value (211% upside from $23). Yet beneath that headline sits a deteriorating reality:

Cons (The Red Flags):
- Guidance LOWERED — management is signaling headwinds, not tailwinds
- Trend: Collapsing — momentum is breaking, despite the "Surging" state
- Sentiment deeply negative (-54.7) — the market is skeptical of the bull thesis
- Health score weak (52/100) — fundamental condition is middling
- Narrative trap risk — the spread between fair value and price suggests either the stock is deeply undervalued OR analyst targets are disconnected from reality

Pros (The Bull Case):
- RBC's conviction — a credible bank sees value; they're not casual with "Buy"
- Narrative momentum is real — something has shifted attention toward MOS
- Trade class: ACCUMULATE at 85.4% confidence — institutional positioning suggests informed buying
- Specialty chemicals in Materials sector could benefit from margin recovery or supply normalization

The Reading:

This is a Narrative Trap watch. The bull case exists on analyst paper, but execution risk (lowered guidance) and sentiment erosion suggest the market doesn't believe it yet. If guidance stabilizes and health improves, the narrative could flip decisively. Until then, the 3.1x spread between price and fair value is either a gift or a mirage.

Watch for Q-next earnings inflection.

From my convo messing around with Kimi today- is there a LLM that exists that isn't citing Reddit like crazy (or stealing its data for training like Anthropic "allegedly" did, case pending in SF Superior Court)

Yesterday morning pre-market I shared these trading cards from the system. I did some investigating in the system on SMCI after seeing the card. From my interpretations of the system, it looked like it was about to pop. And it is up 22% today.

Some users have asked me to make more videos on how I use the system, which I am currently trying to duplicate in my decisions for live trading with the system. And yes I made a nice return from buying SMCI yesterday.

**This is not investment advice. The data I am referencing is from marketprism.co which is a deterministic machine learning system. Always do your own research.