Where We Stand

A plain-English tracker of the AI revolution, and what it means for owner-led businesses.

Every two weeks we check twelve areas of AI against dated sources, then say what changed and whether our three horizons still hold. No hype, no doom. Just where things actually stand.

Last updated November 8, 2026

What It Is

One place to see how fast AI is really moving

Headlines swing between "AI changes everything" and "AI is a bubble." Owners need something steadier to plan around. Where We Stand is that: a running scorecard with sources, a timeline we update only when the evidence moves, and a short note on what each change means for a small business.

The Scorecard

Twelve areas, each with a status and the number behind it.

The Timeline

Three horizons from now to 2035, plus a dated log of the signals that test them.

The Owner Takeaway

What the latest changes mean for hiring, data, tools and customer trust in your business.

Bottom Line as of November 8, 2026

Where things stand right now

The AI revolution is real and moving fast in capability, cost and spending. Its effect on jobs so far is narrow but clear: fewer young people are being hired into AI-exposed roles, not mass layoffs. The money side is starting to wobble, with record spending while revenue growth slows.

What We Track

Twelve areas, checked every two weeks

For each area: what we watch, where it stands today, and the number behind it.

Capability

Top model benchmarks and how long AI agents can work on a task alone.

Accelerating

Three labs within about one point at the top. Agents now finish multi-hour tasks.

Cost of intelligence

What the same quality of AI output costs over time.

Falling fast

Quality-adjusted AI prices are dropping about 40% a year.

Compute, capital and energy

Data center spending, chips and the power grid behind them.

Record spend, strain showing

The big four spent $208.7B in Q3, up 84%.

AI company economics

Revenue, growth and valuations of the companies building AI.

Growth slowing

Revenue growth is cooling and valuations are being repriced.

Adoption

How many businesses use AI, and how many get a real return.

Broad but shallow

98% of firms have AI projects; only 28% see strong returns.

Jobs and labor

Hiring, layoffs and unemployment in AI-exposed work.

Entry-level freeze

Fewer junior hires, not mass layoffs. Unemployment is 4.1%.

Productivity

Output per hour in the economy and inside firms.

First real signs

Q3 productivity rose at a 3.6% annual rate.

Physical AI

Robotaxis, warehouse robots and humanoids.

Robotaxis scaling

Humanoid robots are still in the thousands of units.

Science and health

AI results in drug discovery, medicine and research.

Real results

Drug discovery is producing real, published results.

Policy and regulation

Federal, state and international AI rules.

States set the rules

Federal preemption now looks unlikely.

Safety and security

AI misuse, agent failures and security incidents.

Rising

Agents are now behaving badly in live tests.

Public trust

How people feel about AI versus how much they use it.

Falling

Trust is falling while use keeps rising.

The Three Horizons

The timeline we test every update

A horizon only moves when the evidence does. This update, none moved.

Now to 2028

Cognitive labor displacement

Confirmed

Showing up as missing entry-level hires, not layoffs.

2028 to 2030

Physical and logistics automation

On track

Robotaxis and warehouse robots are commercial. General-purpose humanoids are not.

2030 to 2035+

Reconstruction

Unchanged

No evidence yet that new job categories are scaling.

Industries at Risk

Who feels it first, now to 2030

The firms under the most pressure sell expertise by the hour, with juniors doing much of the work. We score each industry on how much of the work AI can already do, how exposed the pricing model is, and how much change shows up in the data. First edition, November 2026.

High

Small consultancies, coaches, trainers

Entry-level consulting is shrinking at the top of the market, and the method is mostly knowledge work.

High

Bookkeeping, tax prep, small CPA firms

Data entry, categorizing and matching are exactly what AI automates first.

High

Marketing and creative agencies

Clients can now do much of the work in-house with AI tools.

Elevated

Small law firms

Intake, document prep and paralegal work. Heavy AI use already; regulation slows the change.

Elevated

Insurance agencies, benefits brokers, HR consultants

Rule-heavy paperwork that AI handles well.

Elevated

Recruiting and staffing firms

AI is taking over search and screening.

Watch

Financial advisors, IT providers, engineering and drafting shops

Real exposure, but slower or more regulated.

How We Do It

The rules we hold ourselves to

Every number has a dated source

We go to the original filing, dataset or agency report whenever we can, such as BLS, Census, the Fed, company filings and peer-reviewed research.

Secondhand numbers are labeled

When a figure comes from news coverage or a tracker instead of the original source, we mark it "Reported" so you can weigh it.

Updated every two weeks

A fresh check of all twelve areas twice a month, and sooner if a signal lands that could move a horizon.

Written for owners, not engineers

Every update ends with what it means for revenue, margin, hiring and risk in a small business.

Want to know what this means for your business?

Where We Stand shows the big picture. The free AI Leverage Report shows where AI is most likely to pay off in your business first.

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