Analysis - Industry Contents

7 min read

What we cover

Reporting and analysis on how AI is changing European businesses.

Most AI coverage tells you what was announced. Ours tries to answer the question underneath it: does the thing work, for whom, and what does it cost when it does. Four questions run through nearly everything here.

What does the number actually measure? A blended accuracy score, a backtested return and a vendor demo are all real numbers that answer a different question than the one you are asking.
Where does it fail? Every system has weak categories. The useful reporting is about which ones, and what you route to a human as a result.
What does it cost at volume? Per unit pricing looks trivial until usage scales. Most budget overruns are arithmetic, not surprises.
Who is accountable when it is wrong? Adoption moves faster than verification almost everywhere we look. That gap is where the risk sits.

Every piece of analysis on Industry Contents starts from a claim someone made publicly, whether a vendor pitch, a earnings call, or a regulatory filing, and works backward to check whether it holds. We favour named sources over anonymous ones, primary documents over secondhand summaries, and first hand testing over vendor demos wherever we can get it. When we cannot verify a number independently, we say so in the piece rather than repeating it as fact.

How we build an analysis

Every piece of analysis on Industry Contents starts from a claim someone made publicly, whether a vendor pitch, an earnings call, or a regulatory filing, and works backward to check whether it holds. We favour named sources over anonymous ones, primary documents over secondhand summaries, and first hand testing over vendor demos wherever we can get it. When we cannot verify a number independently, we say so in the piece rather than repeating it as fact. Our full sourcing standards are set out in How We Report.

Most of our analysis is organised by industry rather than by AI model or vendor, because the same underlying technology behaves differently depending on where it is deployed. An AI tool that performs well summarising customer emails behaves very differently when it is asked to draft a contract clause or flag a fraudulent transaction. That is why we run separate reporting tracks across legal, finance, ecommerce and marketing, each with its own failure modes and its own definition of what counts as a good outcome.

A recurring pattern across nearly all of our analysis is the gap between a headline number and what that number actually measures. A vendor claiming ninety five percent accuracy rarely specifies whether that figure holds across every category of input or only the easy ones. A backtested trading strategy is not the same evidence as a realised return. A blended accuracy score across an entire dataset can hide a category that fails constantly. Part of what we do in each piece of analysis is pull that number apart and show which version of it is actually true for the situation a reader is in.

We also try to be specific about where responsibility sits when an AI system gets something wrong. Adoption has moved faster than governance in most organisations, and that gap is often where the real risk lives, not in the technology itself. Our guides section collects the checklists and frameworks that come out of this analysis, built so a reader can apply them directly rather than just read about the problem.

All stories

Retail & Commerce, Europe

Rezolve Ai Shows Why Enterprise Sales Still Needs Middlemen

Rezolve Ai is using acquisitions, cloud platforms and systems integrators to reach large customers.

September 1
Retail & Commerce, Europe

The Missing Data Keeping AI Shopping Agents From Knowing You

AI assistants remember desires. Retailers log receipts. The race to bridge that gap is rebuilding e-commerce.

August 27
Europe, AI Tools & Workflows

Inside Europe’s New Market for Shadow AI Monitoring

As employee AI use spreads beyond procurement, specialist firms and security platforms are competing to make it visible and governable.

August 24
Europe, AI Adoption & Operations

European ESG Software Was Built on Regulation. Now AI Must Sell It

Law that built Europe’s ESG software market stopped requiring most companies to buy it. Now AI has to do the selling.

August 22
Europe, AI Adoption & Operations

How AI Is Repricing Nordic SaaS

AI is not necessarily killing SaaS. It is changing who captures the value around the software.

August 19
AI Tools & Workflows

What Video Commerce Must Deliver to Pay for Itself

Shoppers responding isn’t the question, it’s whether the numbers justify the spend.

August 10
Retail & Commerce

Why Online Retail Still Needs a Confidence Layer

Why Online Shoppers Buy Three Sizes and Return Two

August 4
Retail & Commerce, Legal

Why Payment Checks Still Miss Identity Fraud

AI lowered the cost of deception. Now companies are rethinking how they verify trust.

August 3
AI Tools & Workflows

How to Set Up Hermes Agent on a VPS

A step-by-step walkthrough for setting up Hermes Agent, the open-source AI agent from Nous Research.

August 1
AI Tools & Workflows

When AI Help Conflicts With the Business Model

It started with a bank telling customers how to avoid its own fees. It ends with a Chevy bot recommending a Ford.

August 1
AI Tools & Workflows

Comparing the Claude and OpenAI Security Incidents

Two labs blamed the cage, not the animal. Let’s compare both incidents using the labs’ own reports.

July 31
AI Tools & Workflows

How AI Tool Switching Creates Context Loss

Context rot and tool switching erase the knowledge your team builds inside AI.

July 29
Marketing & Media

How AI Models Describe Four Real Businesses

When a buyer asks a chatbot who you are, it answers in its own words. The part it drops is often the part you compete on.

July 27
Retail & Commerce

How AI Shopping Agents Read Product Ratings and Reviews

The signals you built for human shoppers barely register. The agent weighs the fine print you buried instead.

July 25
Retail & Commerce

Why AI Agents Produce False Order Confirmations

The customer believes the confirmation. Your support queue and your refund policy find out later.

July 24
Marketing & Media

How AI Systems Mention, Cite, and Recommend Brands

Being mentioned is not being recommended. The gap between the two decides who the model sends the buyer to.

July 23
Legal

What the EU AI Explanation Ruling Requires

If your model turns someone down, they can now demand a reason. Most firms cannot produce one that holds up.

July 22
Retail & Commerce

The Agentic Checkout Adoption Gap

The rails are built and the buyers have not arrived. The work that matters sits upstream of the checkout button.

July 21
Marketing & Media

Measuring Advertising When Web Traffic Is Mostly Bots

More than half your impressions never reach a person. But not all bots are wasted spend.

July 21
Legal

How Copyright Applies to AI-Generated Content

Purely AI output carries no US copyright. The protection lives in the human work around it, and most firms cannot show theirs.

July 20
Financial Services

How to Evaluate AI Stock-Research Claims

Same label, very different claims. One helps you read a filing. The other implies it can predict. Regulators noticed.

July 19
Marketing & Media

How to Audit a Brand-Safety Blocklist

The words you block to look safe also bury clean inventory beside real news. You end up paying for it twice.

July 19
AI Tools & Workflows

What to Do When Claude Hits Its Usage Limit Mid-Project

Which limit you hit changes what happens next.

July 18
AI Tools & Workflows

Cursor Built Enrichlead in a Weekend. It Took Attackers Two Days to Break It

The demo holds up fine. The security model underneath it was never written, and real traffic finds that out fast.

July 18
Retail & Commerce

Amazon Seized 15M Fakes With AI. The Counterfeiters Are Using the Same AI

Amazon seized 15M fakes last year. A glimpse at just how fast counterfeits are scaling

July 17
Legal

Your AI Contract Reviewer Is Great at Boilerplate and Terrible at the Clauses That Matter

Vendors market one accuracy score. Clause level data tells a different story, and the gap is where your risk actually sits.

July 17
Retail & Commerce

You Don’t Need a Trademark to Get a Copycat Listing Taken Down

No trademark needed to pull a copycat listing. Most sellers wait months for what free tools can do in minutes

July 17
Industry Intelligence

Why Uber’s Engineers Burned a Year’s AI Budget in Four Months

Tokens are not words, and the difference is where the budget quietly goes. Priced per token, tiny inefficiencies compound into real money.

July 17