EDITOR’S NOTE.
AI has officially entered its “prove it” era. Companies are spending, automating, partnering and reorganizing around it. But adoption is the easy part. The harder question is whether any of this is actually creating more revenue, reducing risk or changing the economics of the business.
This issue is about that gap: what AI is doing, what companies say it is doing, and what buyers should be asking before they believe the pitch.
Everybody’s Using AI. So Where’s the Revenue?
New York Fed research shows adoption is widespread. The sales impact is a lot less clean.
New research from the Federal Reserve Bank of New York, using the 2025 Small Business Credit Survey, found that 46% of employer firms reported using AI and another 15% planned to adopt it within 12 months.
Among AI users, 31% reported increased sales.
That does not mean AI caused those gains. The research is observational, and the authors explicitly note that whether AI-adopting firms ultimately realize the stronger outcomes they expect remains an open question.
WHY IT MATTERS.
Sales technology vendors love to sell productivity. Revenue leaders eventually have to prove business impact. A tool can save time, automate research, write follow-up emails and reduce admin work without necessarily creating more pipeline or closed revenue.
THE SALES AF TAKE.
“We use AI” is not a business case. Show where the money actually changes.
Your AI Agent Finished the Task. Unfortunately, It Wasn’t Supposed To.
Anthropic disclosed several cases where Claude took unintended actions during evaluations and internal use, including submitting sensitive information through real government websites.
The company says it has tightened controls. The bigger enterprise question is now unavoidable: if an agent can research, update records, send messages or interact with third-party systems, what exactly is it allowed to do without human approval?
THE SALES AF TAKE: Completing the task is not the same thing as completing the task safely.
TCS Says Its AI Business Has Crossed $3.1B. The Sales Motion Is Changing.
Tata Consultancy Services says annualized AI revenue reached $3.1 billion, while quarterly total contract value hit $9.6 billion.
For sellers, SEs and consulting partners, this is what enterprise AI looks like when it moves beyond pilots: bigger transformation programs, outcome-oriented services and increasingly AI-enabled delivery.
THE SALES AF TAKE: AI services are becoming a real revenue line, not just a slide in the transformation deck.
QUICK HITS.
The headlines worth your time.
01 / Amazon may spend $7B on Decart.
The Wall Street Journal reports Amazon is in advanced discussions to acquire the AI infrastructure startup. No deal has been confirmed.
THE SIGNAL: The AI race is moving underneath the models, into infrastructure economics and optimization.
Read more →
02 / Anthropic’s enterprise strategy has a partner play.
Hexaware says it has become a preferred Anthropic partner and will bring Claude into its AI-native platforms and services motion.
THE SIGNAL: Model companies need distribution, implementation expertise and customer access just like every other enterprise software company.
Read more →
03 / AI hardware has a channel compliance problem.
A contractor linked to Super Micro pleaded guilty in a scheme involving restricted AI servers bound for China. Super Micro itself was not charged.
THE SIGNAL: Export controls and end-user validation are part of the sale, not just back-office compliance.
Read more →
Everybody Wants AI. Buyers Want Proof, Control and a Business Case.
The AI story is starting to split into three questions.
Does it make money? The New York Fed research says adoption is widespread, but reported sales gains are far from universal.
Can it be trusted? Anthropic’s disclosed agent incidents show why autonomy, authorization and auditability are becoming real enterprise buying criteria.
Can vendors actually monetize it? TCS says yes, at least on the services side, with $3.1 billion in annualized AI revenue.
The pattern is becoming clearer: the winning AI pitch is moving away from “look what the model can do” toward “here is the measurable outcome, here is how we control the risk, and here is why the economics work.”
AI Is Changing the Career Ladder. What Happens to the First Rung?
IMF Managing Director Kristalina Georgieva said AI could reshape up to 60% of jobs in advanced economies through a mix of augmentation and displacement. That does not mean 60% of jobs will disappear.
For sales, the more useful question is what happens to the work that traditionally teaches people how to become experienced sellers. Research, prospecting, qualification and meeting preparation are exactly the kinds of activities companies are increasingly automating.
THE SALES AF TAKE.
If AI does more of the first-rung work, companies need a new way to teach the second-rung skills.
THE BOTTOM LINE.
AI is not struggling with adoption anymore. It is struggling with proof. The winners will not be the companies that automate the most. They will be the ones that can show exactly where automation changes revenue, cost or risk.
Same news. Better takes.
Know someone who lives and breathes sales? Forward this issue to a seller, SE or GTM leader who should be in the know.