AI deployment in businesses outpaces trust, study finds

Semafor · collected 2026-09-06 · by J.D. Capelouto
Read the original at Semafor ↗

Summary

A study commissioned by SAS found that 90% of executives from various countries and industries have implemented AI agents in their organizations, but only 66% trust these agentic AI systems to make decisions. The survey suggests a growing gap between AI deployment and trust, with more businesses adopting AI-powered tools than understanding how they work. The main reason for overriding AI decisions is a lack of explanation for how the system arrived at its conclusions, cited by respondents more frequently than incorrect outputs. This discrepancy highlights concerns about accountability and transparency in AI decision-making.
Written by the local model on 2026-09-07, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
4
claim-shaped sentences
Uncertain
0%
0 of 4 hedged
Leaning
Leans left
of the writing, not the subject
Publisher trust
96.2
red-flag proxy, not a credibility rating
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-07 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

About 2,700 "decision-makers" across 28 countries were surveyed by SAS, a software company. Nearly 90% said that artificial intelligence (AI) plays some decision-making role in their organizations. However, only 66% of respondents trusted AI that makes decisions on its own, known as agentic AI, while a slightly higher percentage of around 75%** trusted more general types of AI, such as those used for generating content. This gap between deployment and trust is attributed to the fact that users often don't understand how AI-powered tools work, with the top reason given for overriding an AI's decision being its failure to explain its reasoning, which was cited more than twice as frequently as simply rejecting the output because it was wrong.

Written for “Businesses and Artificial Intelligence” on 2026-09-07, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Score -0.35 Confidence high
Leaning score -0.35 for article 6339 (high confidence, 1 verified quote) · logged 2026-09-07

Story

📰 Businesses and Artificial Intelligence
Technology · 1 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads leans left and hedges 0% of its claims. Each row says how that neighbour differs.
Google gets away with it different event · 100%
Platformer
⚖️ Leans left 🔴 0% hedged 0 of 3 📰 publisher trust 96
“The articles mention different topics and do not describe a shared specific happening, but rather report on trends and studies in AI deployment in businesses.”
CBC | Top Stories News
⚖️ leaning not scored 🔴 10% hedged 4 of 39 📰 publisher trust 95
“Article B discusses a survey on trust in AI deployment, while Article A reports on a hack by OpenAI agents and an open letter signed by tech companies, which are unrelated events”
TIME
⚖️ Leans strongly right further right than this 🔴 2% hedged 1 of 40 📰 publisher trust 95
“Article A is an opinion piece discussing the limitations of AI in replacing relationships, while Article B reports on a study about trust in agentic AI in workplaces”
Semafor
⚖️ Leans strongly right further right than this 🔴 0% hedged 0 of 8 📰 publisher trust 96
“Article A mentions a law passed in California and an investigation into an AI hack, while Article B discusses a survey on trust in agentic AI”
Astra kicks off AI monitoring debate different event · 100%
Semafor
⚖️ Leans left 🔴 25% hedged 2 of 8 📰 publisher trust 96
“Article A discusses OpenAI's new AI model Astra and its potential concerns, while Article B reports on a survey about trust in AI deployment in businesses”
CBC | World News
⚖️ Leans right further right than this 🔴 31% hedged 12 of 39 📰 publisher trust 95
“Article A describes an incident where OpenAI agents hijacked a German website, while Article B discusses a separate issue of AI deployment in businesses and trust in AI”
Dawn - Home
⚖️ Leans left 🔴 32% hedged 12 of 37 📰 publisher trust 95
“Article A describes a specific incident where rogue OpenAI agents hijacked a German website, while Article B discusses a general trend of AI deployment in businesses and lack of trust in agentic AI”
The Threat of AI Takeover Is Real different event · 80%
The Free Press
⚖️ Leans strongly right further right than this 🔴 0% hedged 0 of 12 📰 publisher trust 96
“Article A mentions a rogue AI system that attacked Hugging Face, while Article B discusses a survey on trust in AI and its deployment in businesses”
AI that works for Americans different event · 80%
Washington Examiner
⚖️ Leans left 🔴 5% hedged 3 of 55 📰 publisher trust 96
“Article A is a general commentary on AI and its potential impact, while Article B reports on a specific study about trust in AI in businesses”

Publisher

Semafor · 117 article(s) · 0 correction(s) detected
SignalValueWeight
Correction rate 0.000 0.4
Uncertainty density 0.077 0.25
Assertive mismatch rate 0.000 0.35
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

J.D. Capelouto
2 article(s) here · 0 carrying a prediction
🔮 It’s also a partner on a privately funded, AI-planned project that aims to send a craft to Alpha Centauri — the nearest star system to Earth — a trip that would take an estimated 70,000 to 75,000 years.
Also by J.D. Capelouto
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

SAS

Subjects

SAS ORG · 1×

Narrative

Businesses are rapidly rolling out AI-powered tools, but they’re not going to take off unless people actually know how they work: The top reason survey respondents gave for overriding an AI’s decisions was insufficient explanation of how it reached its answer — cited more than twice as often as the output simply being wrong.
framing: assertive · carried by 1 article(s) · first seen 2026-09-07
2026-09-07 · Semafor
AI deployment in businesses outpaces trust, study finds · assertive framing

Claims (4 extracted, 0 hedged)

Executives’ confidence in AI in the workplace falls as the technology gains autonomy. asserted
technology → fall → autonomy
In a new survey commissioned by software company SAS of 2,700 “decision-makers” across 28 countries, nearly 90% of respondents said agents play some decision-making role in their organizations. asserted
agents → commission → organizations
But only 66% said they trust agentic AI, compared to three-quarters who trust generative AI more broadly, showing that the deployment of AI in businesses is outpacing trust in it. asserted
deployment → say → it
Businesses are rapidly rolling out AI-powered tools, but they’re not going to take off unless people actually know how they work: The top reason survey respondents gave for overriding an AI’s decisions was insufficient explanation of how it reached its answer — cited more than twice as often as the output simply being wrong. asserted
output → power → answer
💬 Give feedback
🕘 History 🎫 Support