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ARMKU Pulse

The operations data we actually watch

Manufacturing output, software spend, the AI build-out and the grid behind it. Pulled automatically from public, primary sources and refreshed daily. Once a month we write up what it means for a mid-sized operator.

Last refresh: 2026-11-04

Monthly brief · 2026-10

Industrial output ticks up as AI capex surges across big tech

The factory floor and the data center are moving at two different speeds. Industrial production and manufacturing output both ticked up in September, but barely. Meanwhile Microsoft, Oracle, Meta, Amazon and Alphabet are pouring tens of billions more into AI infrastructure than a year ago. If you run a mid-sized operation, the gap between those two speeds is where your next decision should live.

Manufacturing

The industrial production index hit 104.0 in September, up from 103.3 in August and up 2.2% from a year ago. Manufacturing output moved similarly, 99.4 versus 99.2, up 1.4% year over year. Capacity utilization held flat at 75.9%, barely above August's 75.8%. The number that stands out is manufacturing construction spending: 171 $B a year, down 19.1% from a year ago. Plants are running, but nobody is breaking ground on new capacity. Manufacturing jobs are flat too, at 12,652 thousand, up only 0.3% from last year.

Software & SaaS

Business investment in software rose to 831 $B a year, up from 809 $B and up 9.0% from a year ago. The big vendors are growing fast: Microsoft's fiscal-year revenue hit 331.8 $B, up 17.8%, and Oracle's hit 67.4 $B, up 17.4%. But custom programming services jobs fell to 2,355 thousand, down 1.4% from a year ago. Companies are spending more on software and employing fewer custom programmers to build it. Open source ERP is still gaining slow, steady attention, with Odoo at 55,455 GitHub stars, up 2.4% from a year ago.

AI & agentic work

Capital spending at the biggest tech companies is not slowing down. Oracle's capex hit 55.7 $B for its fiscal year, up 162.4% from a year ago. Meta's hit 69.7 $B, up 87.1%. Microsoft's hit 115.9 $B, up 79.6%. Alphabet and Amazon are up 74.1% and 58.8% respectively. Epoch AI counted 109 notable AI models released, up from 99, a 10.1% increase. But the agent frameworks that are supposed to put that spending to work, LangChain, CrewAI, AutoGen and the OpenAI Agents SDK, are only growing adoption 1.4% to 4.2% on GitHub. The money is way ahead of the tooling.

Energy

Electric power generation fell to 114.9 from 125.8 in August but is still up 9.2% from a year ago. Utilities output is up 8.7% from a year ago, at 117.3. Demand tied to data centers is showing up in the energy numbers.

What this means for a mid-sized operator

  • Don't staff up for custom software builds right now. Put the budget into tools, not headcount; the market is already doing that.
  • Hold off on new manufacturing capacity. Construction spending is down 19.1% from a year ago; run what you have at today's utilization.
  • Budget for energy cost increases now. Generation and utilities output are both up close to 9% year over year, and that cost hits your P&L before your customers ever notice it.

Manufacturing

Is the factory floor actually busier? Output, utilization, orders, jobs and the money going into new plants.

Industrial production index

Total US industrial output, 2017 = 100. The broadest read on whether plants are busier.

idx 2026-09-01

vs. a year ago

Manufacturing output index

Manufacturing only, 2017 = 100. Strips out mining and utilities.

idx 2026-09-01

vs. a year ago

Manufacturing capacity utilization

Share of manufacturing capacity in use. Above 80% plants are stretched; below 75% they have slack.

% 2026-09-01

vs. a year ago

Manufacturers' new orders

Value of new orders received by US manufacturers each month, billions of dollars.

$B 2026-09-01

vs. a year ago

Manufacturing construction spending

Money going into new factories, billions of dollars at an annual rate. The reshoring boom in one line.

$B/yr 2026-09-01

vs. a year ago

Software & SaaS

Where the software dollars go: business investment in software, programming jobs, the revenue of the SaaS bellwethers, and the pull of open-source ERP.

Business investment in software

US private fixed investment in software, billions of dollars at an annual rate. Quarterly.

$B/yr 2026-07-01

vs. a year ago

Custom programming services jobs

Employment in US custom computer programming services, thousands. A proxy for implementation and integration work.

k 2026-09-01

vs. a year ago

Microsoft revenue, fiscal year

Annual revenue from 10-K filings, billions of dollars.

$B 2026-06-30

vs. a year ago

Oracle revenue, fiscal year

Annual revenue from 10-K filings, billions of dollars.

$B 2026-05-31

vs. a year ago

Salesforce revenue, fiscal year

Annual revenue from 10-K filings, billions of dollars.

$B 2026-01-31

vs. a year ago

ServiceNow revenue, fiscal year

Annual revenue from 10-K filings, billions of dollars.

$B 2025-12-31

vs. a year ago

Workday revenue, fiscal year

Annual revenue from 10-K filings, billions of dollars.

$B 2026-01-31

vs. a year ago

Odoo, GitHub stars

Stars on the odoo/odoo repository. Developer attention to open-source ERP, not market share.

stars 2026-11-04

since we started tracking

ERPNext, GitHub stars

Stars on the frappe/erpnext repository. Developer attention to open-source ERP, not market share.

stars 2026-11-04

since we started tracking

Dolibarr, GitHub stars

Stars on the Dolibarr/dolibarr repository. Developer attention to open-source ERP, not market share.

stars 2026-11-04

since we started tracking

AI & agentic work

How fast the AI wave is really moving: notable models per year, the capital the hyperscalers are spending, and developer adoption of agent frameworks.

Notable AI models released per year

Models in Epoch AI's notable models database, by publication year, through the last complete year.

models 2025-01-01

vs. a year ago

Microsoft capital spending, fiscal year

Payments for property, plant and equipment from 10-K filings, billions of dollars. Mostly data centers now, but not only.

$B 2026-06-30

vs. a year ago

Alphabet capital spending, fiscal year

Payments for property, plant and equipment from 10-K filings, billions of dollars. Mostly data centers now, but not only.

$B 2025-12-31

vs. a year ago

Amazon capital spending, fiscal year

Payments for property, plant and equipment from 10-K filings, billions of dollars. Includes warehouses as well as data centers.

$B 2025-12-31

vs. a year ago

Meta capital spending, fiscal year

Payments for property, plant and equipment from 10-K filings, billions of dollars. Mostly data centers now, but not only.

$B 2025-12-31

vs. a year ago

Oracle capital spending, fiscal year

Payments for property, plant and equipment from 10-K filings, billions of dollars. Mostly data centers now, but not only.

$B 2026-05-31

vs. a year ago

LangChain, GitHub stars

Stars on langchain-ai/langchain. Developer adoption proxy for agent frameworks.

stars 2026-11-04

since we started tracking

CrewAI, GitHub stars

Stars on crewAIInc/crewAI. Developer adoption proxy for multi-agent frameworks.

stars 2026-11-04

since we started tracking

AutoGen (Microsoft), GitHub stars

Stars on microsoft/autogen. Developer adoption proxy for multi-agent frameworks.

stars 2026-11-04

since we started tracking

OpenAI Agents SDK, GitHub stars

Stars on openai/openai-agents-python. Developer adoption proxy for agent tooling.

stars 2026-11-04

since we started tracking

Energy & infrastructure

Whether the grid is keeping up with the compute being built.

Electric power generation index

US electric power generation, 2017 = 100, monthly. Not seasonally adjusted, so the summer peaks are real.

idx 2026-09-01

vs. a year ago

Utilities output index

US electric and gas utilities output, 2017 = 100, seasonally adjusted. The underlying trend without the weather.

idx 2026-09-01

vs. a year ago

Sources and method

Every series comes straight from a primary, public source: the Federal Reserve Bank of St. Louis (FRED) for production, orders, jobs, construction and electricity; SEC EDGAR filings for company revenue and capital spending; GitHub for open-source adoption; Epoch AI for the count of notable models. Nothing is estimated by hand.

A few honest caveats. GitHub stars measure developer attention, not market share. Hyperscaler capital spending is total, not data centers alone. Company figures are fiscal years, which do not all end in December. The AI model count runs through the last complete year. When a source goes quiet, the series simply stops at its last real point.

The monthly brief is drafted by an AI assistant from this exact data, then reviewed and published by Rodolfo Kong. Raw feed: /pulse/data.json.

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