Research

We track how AI actually reaches business

Not the hype cycle — the adoption data, the field reports, and the frontier research on how small businesses and whole industries are really putting AI to work. This is where we collect what we're learning, and where our next deep-dives begin.

Analyses published

249+

Podcast briefings

Frontier-paper reviews

Weekly

Research · 01

Small Business & AI

How the smallest teams are actually adopting AI — what they automate first, where it pays off, and how the old size-versus-capability equation is being rewritten. We track the adoption data and pressure-test it against what we see on the ground with the businesses we work with.

Agor Analysis · February 6, 2026

The Great Equalizer: Why AI Doesn't Just Help Small Businesses Compete — It Renders the Old Game Obsolete

Small businesses now hold a weapon that Fortune 500 companies spent decades and billions building: operational intelligence at scale. The window to wield it is closing. This is the strategic playbook for leaders who refuse to be left behind.

Agor Analysis · May 30, 2026

Main Street Got It First

AI workflow automation for small businesses arrived before the enterprise figured out what to do with it. The implications run deeper than payroll.

Agor Analysis · June 9, 2026

Six Hires, Not Sixty

The conventional playbook for building an internal AI team gets priced against Mark Zuckerberg's billion-dollar offer letters. Here is what a small, durable AI capability actually looks like in mid-2026.

Agor Analysis · June 29, 2026

What the Box Can't Hold

Anthropic shipped a small-business automation box in May. The fifteen workflows inside are the median of what every small business does. The part that made yours uncopyable is the part the box can't hold.

Agor Analysis · December 28, 2025

AI Automation: Where to Start in Your Organization

A practical framework for identifying and prioritizing AI automation opportunities.

Agor Analysis · June 20, 2026

Read What The Model Wrote

AI strategy for non-technical founders is no longer about which builder to pick. It is about whether you can read what the generator shipped before a stranger does.

U.S. Chamber of Commerce · Aug 2025

Empowering Small Business: 58% of small businesses now use generative AI (opens in a new tab)

The Chamber's fourth annual survey of 3,870 small businesses: generative-AI use jumped to 58%, up from 40% a year earlier, with a majority of businesses in all 50 states now embracing it.

U.S. Chamber Foundation · Jun 2026

Half of small business workers use AI — most to boost productivity, not automate jobs (opens in a new tab)

Roughly half of workers at small businesses already use AI on the job — overwhelmingly to enhance their own output rather than to eliminate roles. A useful counter to the headcount-panic narrative.

Anthropic · Sep 2025

Anthropic Economic Index: uneven enterprise AI adoption (opens in a new tab)

Real usage data, not survey claims: 77% of business API use is full-task automation (vs ~50% for consumers), and US firm adoption more than doubled to ~9.7% in under two years.

Research · 02

Industry Trends

Where AI adoption is really going across the market and inside specific sectors — from enterprise pilots that stall before production to the verticals (healthcare, legal, financial services) where AI is moving into live workflows. We read the frontier research so our clients don't have to.

Agor Analysis · June 17, 2026

Seven Percent Were Ready

Cloudera and Harvard Business Review found only 7 percent of enterprises call their data fully ready for AI. MIT NANDA found 95 percent of pilots fail. Data readiness for AI adoption is the gap, and most boards are still buying the wrong half of the problem.

Agor Analysis · June 4, 2026

Production Was the Trial

Sinch's May 2026 report shows 74% of enterprises have pulled back live AI customer agents after going to production, and the generative AI business use cases that survive month four look nothing like the ones in the vendor deck.

Agor Analysis · July 14, 2026

No Line Item For Agents

Gartner expects 40 percent of agentic AI projects to be canceled by 2027. They aren't dying from bad models. They're dying because no CFO can book them. Measuring ROI on AI initiatives starts with fixing the ledger, not softening the metric.

Agor Analysis · May 13, 2026

When the Lab Moves In

OpenAI and Anthropic just turned themselves into consultancies in the same week. The buyer who treats this as a procurement event will lose the decade.

Agor Analysis · February 23, 2026

The Friction Tax: Why Every Dollar You Don't Invest in AI Automation Is a Dollar Paid to Your Own Obsolescence

ROI on AI automation isn't a spreadsheet exercise — it's a survival calculus. The enterprises that fail to rewire their operational nervous systems won't just fall behind. They'll become structurally incapable of competing.

Agor Analysis · June 6, 2026

Agents Need Org Charts

Most enterprise AI agent deployments fail at the management layer, not the model layer. The org chart is the bottleneck, and 74 percent of enterprises just learned why.

Agor Podcast · July 8, 2026 · 44:03

AI Papers Weekly: Trust, Cost, and Compliance in Enterprise AI

This week, we explore how enterprises can deploy trustworthy, cost-effective, and legally compliant AI. We cover real-time hallucination prevention in high-stakes environments, early-abort mechanisms to slash compute costs, and new methods for erasing copyrighted data from generative models.

Agor Podcast · July 1, 2026 · 36:07

AI Papers Weekly: Building Trustworthy Enterprise AI

Discover how the latest AI research tackles enterprise risks. We explore auditable compliance engines, why LLMs struggle with spreadsheets, and a breakthrough in teaching AI to recognize its own knowledge limits. Tune in to learn how to deploy AI safely and reliably.

Agor Podcast · May 6, 2026 · 45:08

AI Papers Weekly: The Agentic AI Reckoning

Three new papers converge on a single message for executives: agentic AI is compressing the attack lifecycle, breaking classical identity models, and quietly eroding the integrity of the answers it gives. Defense, governance, and epistemic discipline now belong on the same agenda.

McKinsey QuantumBlack · Nov 2025

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