Bryan R Daniel

Love the Lord. Love each other. Love learning together.

[Bryan R Daniel @bd944]

AI isn’t just writing emails.

It’s helping scientists:

🧬 Predict protein structures
💊 Design new drugs
🦠 Identify disease targets
🧠 Search for Alzheimer’s treatments
🎯 Personalize cancer therapies

The biggest breakthrough may not be finding more drugs.

It may be eliminating bad drug candidates years earlier.

If drug discovery becomes even 25% more efficient, the economic impact could rival the internet itself.

The winners won’t just be biotech companies.

They’ll include the compute, cloud, and energy infrastructure powering this new scientific revolution.

#AI #Biotech #DrugDiscovery #AlphaFold #Healthcare #NVDA #GOOGL #AMZN #Longevity

[Bryan R Daniel @bd944]

One of the most powerful heart disease prevention stacks available today may already exist.

✓ Statin
✓ Ezetimibe
✓ PCSK9 inhibitor or Inclisiran (for higher-risk patients)

The goal?

Reduce ApoB—the number of cholesterol-carrying particles that can enter artery walls and create plaque.

A large meta-analysis of randomized clinical trials found that every 10 mg/dL reduction in ApoB was associated with about a 7% lower risk of major cardiovascular events.

Many people know their LDL cholesterol.

Far fewer know their ApoB.

That may be a mistake.

Two people can have identical LDL levels but very different numbers of artery-damaging particles—and very different risk profiles.

As precision medicine advances, ApoB is becoming one of the most important markers for understanding cardiovascular risk.

Talk with your physician about adding ApoB to your next lipid panel and ask whether your current treatment plan is targeting particle count, not just cholesterol.

Do you know your ApoB number?

Sources:
• Ference et al., JAMA Cardiology
• American College of Cardiology
• European Atherosclerosis Society
• National Lipid Association

#HeartHealth #ApoB #Longevity #PreventiveMedicine #Cardiology

[Bryan R Daniel @bd944]

One of the most interesting findings from Anthropic's Economic Index is that AI adoption is creating winners—but not everyone is benefiting equally yet.

That's why AI infrastructure matters.

The biggest winners from data center investment are often:

🏫 School districts through expanded tax bases

👷 Electricians, welders, HVAC technicians, engineers, and construction workers through years of high-paying projects

🎓 Community colleges and workforce programs through new technical training opportunities

🏪 Local businesses serving construction crews and facility operations

🚒 Cities, counties, and public services through increased revenue for roads, utilities, public safety, and infrastructure

⚡ Power, fiber, and water systems through long-term infrastructure upgrades

AI may begin with software engineers and power users, but its economic benefits spread much wider when physical infrastructure is built.

The future of AI isn't just digital.

It's concrete, steel, fiber, power lines, and skilled trades.

Sources:
Anthropic Economic Index (2026)
U.S. Department of Energy
World Resources Institute
Data Center Coalition / PwC
#datacenters #infrastructure #communities #communitycolleges #communityinvestment

[Bryan R Daniel @bd944]

Most people don't realize how structured the Meta Data Center Community Action Grants program has become.

✅ Grants for nonprofits & public schools
✅ Focus on STEAM, technology, workforce development, and community projects
✅ Available in communities hosting Meta data centers, including Temple, Texas
✅ Administered through established grant partners and platforms

In 2026, Meta announced 328 grants across 27 regions, supporting schools, nonprofits, technology access, AI education, and local community initiatives.

Since inception, Meta reports investing more than $94 million in thousands of local projects connected to its data center communities.

When discussing data centers, it's worth looking not only at tax revenue and jobs, but also at the community investments that often accompany these facilities.

#DataCenters #EconomicDevelopment #STEM #Education #Texas #TempleTX #CommunityInvestment

[Bryan R Daniel @bd944]

Where Sovereign Wealth & Pension Capital Is Moving
The Infrastructure Behind the Next Industrial Cycl

Recent Capital Focus

⚡ Power Generation
Grid expansion, renewable infrastructure, power assets
🔋 Battery Storage
Grid reliability and AI-driven electricity demand
🏗️ Data Centers
Hyperscale campuses, colocation, digital infrastructure
🌐 Fiber Networks
Connectivity for AI, cloud, and data transmission
🏭 Industrial Logistics
Warehouses, ports, supply-chain infrastructure
💰 Private Credit
Direct lending, infrastructure debt, asset-backed finance
⸻
Why It Matters
AI is increasing demand for:
Electricity
Compute
Data transmission
Physical infrastructure
Many of the world’s largest investors are allocating capital toward the systems that support all four.
⸻
Examples of Active Investors
🇳🇴 Norway Government Pension Fund Global
🇸🇬 GIC
🇸🇬 Temasek
🇨🇦 CPP Investments
🇦🇪 ADIA
🇦🇪 Mubadala
⸻
Sources
• Norges Bank Investment Management (NBIM) Annual Report & Press Releases
https://t.co/3pXaxhLi87
• GIC Annual Report & Portfolio Updates
https://t.co/NN6jXTxhIy
• Temasek Review & Portfolio Reports
https://t.co/gFo7GrbBnq
• CPP Investments Annual Report & Transaction Announcements
https://t.co/locg6FqoAW
• ADIA Review
https://t.co/BBpoIR7Ydm
• Mubadala Annual Review
https://t.co/imbR3q51IT
Bottom Banner
“The biggest investment trend may not be AI models themselves—but the infrastructure required to power them.”

[Bryan R Daniel @bd944]

Weekly Fast Numbers on State of the Consumer 📊

The official post-Memorial Day recap confirms it: the American consumer is prioritizing experiences, local entertainment, and travel as we head into summer.
Here are the macro fast numbers from our latest report:

🎬 Movie Box Office: $151.2M top-film frame
• WoW: 📈 +42.6% (Driven by A24's massive *$81.5M* debut for *Backrooms*)
• YoY: 📈 +11.4%

✈️ Aviation (TSA Throughput):18.17M holiday passengers
• WoW: 📈 +4.8% (Peak holiday travel surge)
• MoM: 📈 +5.2%

🚆 Rail Traffic (Amtrak):645K passenger trips
• WoW: 📈 +2.1%
• YoY: 📈 +4.2%

⛽ Gasoline Volume Demand: 9.25M barrels/day
• WoW: 📈 +5.59% (Massive holiday road-trip draw)
• YoY: 📉 -1.2%

The Takeaway: There is clear momentum in "experience-first" economic spending. Despite standard inflation discussions, heavy fuel inventory draws and a massive surge in local cinema show consumers are highly active and eager to get out.
#Economy #ConsumerTrends #MacroData #TravelTrends

[Bryan R Daniel @bd944]

Temple’s 300 MW Rowan data center is more than a construction project—it’s a long-term tax base.

Using Bell CAD 2025 tax rates and Rowan’s stated $700M minimum investment:

• Gross local property taxes: ~$16.7M/year
• Estimated net after City abatement: ~$14.3M/year
• Temple ISD: ~$8.0M/year
• City of Temple: ~$2.4M/year after abatement
• Bell County: ~$2.2M/year
• Temple College + special districts: ~$1.7M/year

And this analysis only uses the announced $700M investment—not future expansion potential.

Sources:
• Bell CAD 2025 Tax Rates
• Rowan Digital Infrastructure Project Temple (300 MW, $700M+, 700 acres)

Math matters. Looking at only construction jobs misses the permanent tax base created by large-scale digital infrastructure.

[Bryan R Daniel @bd944]

Big energy + data center projects don’t fail because communities ask questions.

They slow down when 4 chokepoints aren’t planned early:

Battery cell supply
Interconnection queue timing
Skilled labor availability
Land + water permitting

The fix: phase the work, publish realistic timelines, and run permitting/interconnection/workforce planning in parallel.

Good planning = faster power, steadier jobs, stronger tax base, and fewer surprises.

Sources: DOE, LBNL, NREL
#DataCenters #Energy #Texas #EconomicDevelopment #AIInfrastructure

[Bryan R Daniel @bd944]

The AI race is becoming an energy race.

China is scaling data centers through centralized planning: 32 GW installed, +28 GW planned, targeting 60+ GW by 2030.

The U.S. is moving faster near-term: data center demand could jump from 31 GW in 2025 to 66 GW in 2027 — but grid queues are becoming the bottleneck.

In Texas alone, ERCOT is tracking ~410 GW of large-load interconnection requests, ~87% data centers.

Compute = power + permitting + grid speed.
That’s national security infrastructure now.

Sources: Goldman Sachs, Rystad Energy, IEA, ERCOT.

[Bryan R Daniel @bd944]

Compute is becoming national infrastructure.

AI leadership now depends on:
⚡ Power
🧠 Chips
🔌 Grid capacity
🏗️ Data centers
👷 Skilled labor

The countries that can build resilient compute infrastructure fastest may shape the next era of economic, scientific & national security leadership.

The goal isn’t reckless growth.
It’s smarter permitting, stronger grids, secure supply chains & domestic capacity.

Compute is no longer just a tech story. It’s an industrial strategy story.

#AI #DataCenters #Infrastructure #Semiconductors #NationalSecurity #Energy #Texas #EconomicDevelopment

:

[Bryan R Daniel @bd944]

**Weekly Fast Numbers on State of the Consumer** 📊
The data ahead of Memorial Day weekend shows a massive surge in experiential spending and mobility. The American consumer is hitting the road and heading to theaters at a clipping pace.
Here are the macro fast numbers you need to know this week:
🎬 **Movie Box Office:** $172.6M frame
• WoW: 📈 +61.4% (Massive *Mandalorian & Grogu* opening)
• YoY: 📈 +11.2%
✈️ **Aviation (TSA Throughput):** 17.8M passengers
• WoW: 📈 +5.8% (Summer travel kickoff ramp-up)
• MoM: 📈 +14.3%
🚆 **Rail Traffic (Amtrak):** ~645K passenger trips
• WoW: 📈 +3.2%
• YoY: 📈 +4.7%
⛽ **Gasoline Volume Demand:** 9.25M barrels/day
• WoW: 📈 +2.1%
• MoM: 📈 +4.8% (Huge holiday inventory drawdown)
**The Takeaway:** We are seeing a highly synchronized surge in mobility. The steep climb in box office velocity paired with heavy commercial draws on fuel reserves shows zero hesitation from the consumer segment heading into peak summer tracking.
#Economy #ConsumerTrends #MacroData #TravelTrends

[Bryan R Daniel @bd944]

Viome’s AI-driven oral cancer screening platform just received FDA Breakthrough Device designation.

The system analyzes saliva-based human + microbial signals to help detect oral and throat cancers earlier — a glimpse into where precision medicine, microbiome science, and machine learning are headed.

This is important because early detection dramatically improves survival rates.

We’re entering an era where:
• AI models analyze complex biological patterns
• Microbiome data becomes clinically actionable
• Non-invasive diagnostics move closer to real-time preventive care

Still early. “Breakthrough” designation is not full FDA approval. But the signal is clear: AI + biotech + microbiome research is moving from theory into clinical workflows.

Powered by advances from companies like Viome and breakthroughs in AI biology tools like DeepMind’s AlphaFold ecosystem.

#AI #Biotech #PrecisionMedicine #Microbiome #HealthcareInnovation #MachineLearning #CancerDetection #Longevity

[Bryan R Daniel @bd944]

We are entering a new era of computing.

Not just digital intelligence.
Biological intelligence.

AI models can now learn the language of proteins, chemistry, and disease at superhuman scale.

Soon we will:
• simulate biology before human trials
• design new proteins from first principles
• discover drugs for diseases once considered impossible
• build autonomous labs operating 24/7

This is not incremental.

This is a reinvention of drug discovery.

The future of medicine will be built at the intersection of AI, robotics, and accelerated computing.

Biology is becoming engineering.

#AI #Biotech #AcceleratedComputing #DrugDiscovery #Healthcare #GenAI

[Bryan R Daniel @bd944]

Pharma is no longer just “using AI.” It’s rebuilding drug discovery around foundation models, protein prediction, and generative chemistry.

The emerging stack:
• biological data
• foundation models
• protein design systems
• molecule generation
• simulation loops
• robotics + wet labs

This compresses years of discovery into months.

The real moat may no longer be patents alone.
It may be proprietary data + recursive AI learning systems.

Biology is becoming computational.

#AI #Biotech #DrugDiscovery #Healthcare #GenAI #Investing #Pharma

[David Sacks @DavidSacks]

Q: How are job postings for software engineers rising rapidly despite AI agents automating coding?

A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating.

AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases.

We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy.

Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.

[Alec Stapp @AlecStapp]

Chatted with a water resource economist at an event in California yesterday.

The state’s water “shortage” really is one of the most unforced errors in policymaking.

Key stats:

- farmers use 80% of the developed water supply

- residents use 20%

- cities pay ~20x higher prices (!) for water than farmers (~$722/acre-foot vs ~$36/acre-foot)

- some of the biggest agricultural districts in the state pay literally $0 for their water

- meanwhile agriculture accounts for just ~2% of California’s economy

It’s crazy that politicians tell residents to take shorter showers or get rid of their lawns instead of just charging farmers the market price for their water usage.

[Bryan R Daniel @bd944]

Texas is becoming the battery capital of America.

Companies like Tesla, NextEra Energy, Vistra Corp., Plus Power, and Broad Reach Power are deploying massive grid-scale battery systems across ERCOT.

Why does this matter?

🔋 Batteries respond to outages and demand spikes in milliseconds
☀️ They store excess solar power during the day for evening use
🌬️ They smooth out wind variability during weather swings
⚡ They reduce stress on transmission lines and substations
🏭 They help support growing industrial + AI data center demand
💰 They can lower price volatility during peak power events
🛡️ They improve grid reliability during extreme Texas weather

ERCOT added roughly 6+ GW of battery storage in 2025 alone — one of the fastest energy infrastructure buildouts in the country.

A closer look at the batteries powering Texas’ grid transformation:

🔋 Utility-scale lithium-ion battery racks stretching across acres
⚙️ Inverter systems converting stored energy back onto the grid
📊 Real-time control centers balancing supply and demand instantly
🚛 Modular battery containers designed for rapid deployment
🌡️ Advanced cooling and fire suppression systems for safety
🔌 High-voltage interconnections feeding power directly into ERCOT

Another 8–10 GW of battery storage is expected to come online in 2026, further accelerating Texas’ position as the national leader in grid-scale energy storage.

Texas isn’t just adding generation anymore.

It’s adding flexibility, resilience, and response speed to the grid itself.

That changes the long-term conversation around stable growth, reliability, and economic development.

#Texas #ERCOT #EnergyStorage #GridReliability #AIInfrastructure #DataCenters #Batteries #EconomicDevelopment

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.