Showing posts sorted by date for query consumer spending. Sort by relevance Show all posts
Showing posts sorted by date for query consumer spending. Sort by relevance Show all posts

Tuesday, December 16, 2025

How Much Do Tariffs Affect Inflation?

Today’s political discussions can be frustrating and unhelpful, in large part because people disagree about what the “facts” of any subject are, beyond the “normal” problem of post-modern rejection of the notion of any such thing as absolute truth. 


Consider the matter of the impact of tariffs on general rates of inflation. In principle, tariffs can result in a one-time increase in prices, but not inflation (a general rise in prices for all goods and services). 


If there are any facts we might not generally disagree about, it is that inflation pressures exist, and have existed for some time. 


The bulk (80 percent to 90 percent) of total inflationary price increases, especially in key areas such as housing, health care, childcare, food and energy, occurred after 2017, but were caused by non-trade shocks. COVID-19 added 10 percent to 15 percent price increases across the economy by 2022, for example.


Other areas where consumers see higher prices are essentially insulating from tariffs, such as child care and healthcare (70 percent or more of costs are entirely domestic). 


Food and energy imports did face tariffs but were dwarfed by global events. Pandemic meatpacking disruptions in 2020 caused at least a 10 percent spike. ) The avian flu (2022-2023) explains 70 percent of rise in egg and chicken prices.  Also, imported food tariffs affected about five percent of U.S. food supply items.


Sector

Pre-Tariff Increase (2016-2017 to End-2017)

Post-Tariff Increase (End-2017 to End-2024)

Total Increase (2016-2024)

Non-Tariff Drivers

Housing (Shelter CPI)

+3.3%

+29.5%

+33.5%

Driven by low inventory (U.S. built 5M fewer homes than needed post-2008) and rent controls in high-demand areas; tariffs on lumber/steel added ~1-2% at most.

Food (Food at Home CPI)

+0.8%

+26.2%

+27.1%

Pandemic meatpacking disruptions (2020: +10% YoY) and avian flu (2022-2023) explain 70%+ of rise; imported food tariffs minimal (~5% of U.S. supply).

Healthcare (Medical Care CPI)

+2.1%

+22.4%

+24.7%

Prescription drug prices up 15% pre-2018 due to patent protections; hospital consolidations added 5-7% annually. Tariffs irrelevant to domestic services.

Child Care (Avg. Annual Cost)

+3.0% (est. from 2016 baseline ~$10,000)

+31.3% (to $13,128 in 2024)

+34.6%

Post-2020 wage hikes for providers (+25%) and 20% capacity loss from closures; exceeds general CPI by 10+ points, per DOL data. No direct tariff link.

Energy (Overall Energy CPI)

-2.5% (oil price dip)

+28.1%

+25.1%

2022 Ukraine war caused +50% gasoline spike; renewables transition volatility. Pre-2018 shale oversupply kept prices low; tariffs on imported oil negligible.


In sum, in each of these key consumer spending categories, there were other forces driving most of the price increases:  

  • Housing: Chronic underbuilding since the 2008 financial crisis, zoning restrictions, and rising construction material/labor costs fueled by domestic shortages and low interest rates until 2022.

  • Food: Supply chain disruptions (e.g., weather events, labor shortages), the COVID-19 pandemic's lasting effects on processing and transportation, and commodity price volatility from events like the 2022 Ukraine conflict.

  • Healthcare: Aging population demands, regulatory complexities, pharmaceutical pricing dynamics, and insurance market consolidations—issues predating tariffs by decades.

  • Child Care: Labor shortages in the sector (wages rose 20-30% post-2020 to attract workers), pandemic-related closures leading to reduced capacity, and insufficient public subsidies, with costs outpacing general inflation by 7 percentage points from 2020-2024.

  • Energy: Geopolitical tensions (e.g., OPEC decisions pre-2018), the shale boom's volatility, and the 2020-2022 global energy crunch from pandemic recovery and the Russia-Ukraine war—notably, U.S. gasoline prices spiked 50%+ in 2022 before new 2025 tariffs.


Category

Pre-Tariff Increase (2012–2017 Annualized %)

Post-Tariff Increase (2018–Sep 2025 Annualized %)

Key Non-Tariff Drivers

Sources

Housing

+5.2% (FHFA HPI from ~250 to ~320 index)

+6.1% (to ~435 index; +70% cumulative since 2012)

Supply shortages, low rates, zoning

FHFA HPI; FRED USSTHPI

Food

+2.4% (CPI food from ~230 to ~250 index)

+3.8% (to ~290 index; +25% since 2019)

Pandemic disruptions, weather, labor

BLS CPI Food; USDA ERS Outlook

Healthcare

+3.1% (CPI medical care from ~430 to ~480 index)

+3.5% (to ~580 index; +35% since 2010)

Aging population, drug costs, consolidation

BLS CPI Medical Care; US Inflation Calculator

Child Care

+4.1% (Costs up ~25% from ~$9K to ~$11K avg annual/infant)

+5.3% (to ~$15K avg; +67% since 2010)

Provider wages, regulations, demand

EPI Child Care Costs; Living Wage Institute

Energy

+ (-1.2)% (CPI energy volatile, net flat from ~200 to ~195 index)

+2.9% (to ~270 index; +39% since 2019)

Geopolitics, AI demand, grid delays

BLS CPI Energy; BLS CPI Summary


Some point out that only about 20 percent of tariff costs show up in consumer prices, which might still be seen as important, even if the main drivers lie elsewhere:

  • Shelter costs have risen close to 34 percent since 2019, outpacing household income growth by more than 12 percentage points

  • Egg and beef prices are higher, yes. But in most years, ranchers struggle to earn a profit; the cattle herd shrank and we had a drought in 2022

  • Avian flu wiped out millions of hens, quadrupling egg prices overnight

  • Child-care costs have risen 10 points faster than overall inflation, driven by rising wages and shifts in the labor market.


Paradoxically, in the sectors where tariffs are in place (cars, bicycles, and washing machines), prices have risen less than overall inflation because durable goods companies compete fiercely for market share and absorb most of the tariff costs rather than passing them on to consumers. 


Thursday, December 4, 2025

If AI Development Continues at Current Pace, What Changes in 5-10 Years?

If the current pace of artificial intelligence development continues at current rates (doesn’t slow or speed up), life might look significantly different in five to 10 years. Some predict many of these changes will happen by 2030, but it might also take a decade for most of them to fully develop as expected. 


Among the more-important changes are those related to work and productivity, with impact on government spending for universal basic income, who works and why.


Global gross domestic product could be 15 percent to 30 percent higher than baseline forecasts, based solely on automation of knowledge work.


That could well mean 20 percent to 40 percent of current jobs are heavily transformed or gone. But new jobs are created in the areas of AI orchestration, data curation, human-AI interaction design, and robot maintenance.


We face the danger of “K-shaped” economic impact, where massive gains accrue to AI owners, the top-five-percent of people who direct AI development and capital owners, while many others find themselves out of work because of automation. 


So universal basic income or similar policies will become mainstream political topics in most developed countries. If people are not needed to do “work,” how do they sustain themselves?


Area

Daily Life in 2030

How Work Gets Done in 2030

Industries That Benefit Most (and Why)

Personal Assistants

Every person has a highly personalized AI agent (like a supercharged Grok/Siri) that knows your entire digital life, anticipates needs, books everything, manages finances, reminds you to call your mom, and negotiates bills automatically.

70-90% of knowledge-work tasks (emails, scheduling, research, basic coding, writing, slide decks) are handled by AI agents with human oversight only for final sign-off.

Software development, legal, marketing, consulting, education

Transportation

Most new cars sold are Level 4 autonomous. Robotaxis dominant in cities (Waymo/Uber-like fleets 10-20× larger). Commutes drop 30-50% in time; people work/read/sleep in cars. Traffic deaths plunge.

Delivery and logistics almost entirely autonomous (drones + robot trucks). Human truck drivers and delivery couriers largely obsolete.

Autonomous vehicles, logistics (Amazon, UPS), insurance (far fewer claims)

Healthcare

AI wears you (continuous monitoring via wearables/implants). Your AI doctor catches cancer years earlier, adjusts your meds in real time, and designs personalized treatment plans. Doctor visits mostly for procedures.

Radiologists, pathologists, and many GPs shift to oversight roles. Drug discovery cycle drops from 10 years to <18 months. Clinical trial matching automatic.

Pharmaceuticals, medical devices, health insurance (prevention focus)

Education

Every student has an infinitely patient AI tutor tailored to their learning style. Top 1% human teachers oversee 1,000+ students via AI orchestration. Dropout rates collapse; mastery-based progression standard.

Teachers become “learning experience designers” and mentors. Corporate training almost entirely AI-driven.

EdTech, corporate L&D, tutoring industries disappear into AI platforms

Creative Industries

Text, images, music, video, and code generated on demand at near-human quality. Most marketing copy, social media content, and stock photography created by AI. Hollywood uses AI for pre-vis, VFX, and even full animated features.

Human creatives shift to directing AI, curating, and adding final 10% “soul.” Mid-tier writers/artists struggle; superstars + AI directors thrive.

Gaming, advertising, entertainment, architecture (AI-generated designs)

Manufacturing & Retail

Lights-out factories common. 3D-printed custom goods on demand. Most retail shifts to “showroom + same-day local print/delivery.”

Blue-collar supervision roles shrink; technicians who fix/maintain robots rise.

Advanced manufacturing, custom consumer goods, defense

Finance & Law

AI agents trade stocks, detect fraud, write basic contracts, and do discovery. 80% of paralegal and junior analyst work automated.

Senior partners and quants become AI orchestrators. High-frequency trading 100% AI.

FinTech, crypto/DeFi, legal tech

Energy & Environment

AI optimizes grids in real time, predicts renewable output, and designs better batteries/solar panels. Massive acceleration in fusion and carbon-capture research.

Energy trading and grid operations fully autonomous.

Clean energy, nuclear fusion startups, carbon removal

Government & Military

Bureaucracy heavily automated (permits, tax filing, welfare distribution). Military drones and cyber operations almost entirely AI-driven.

Large reduction in middle-management civil servants.

Defense contractors, gov-tech


When Was the Last Time 40% of all Humans Shared Something, Together?

I miss these sorts of huge global events where 40 percent of living humans share a chance to build something for others.