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All briefings

Follow the change ·

The day,
in perspective.

What happened in AI and robotics — and the change behind it. A reading path through 12 stories from BIG CHANGE.

Ordered using RADAR attention, story opens and likes. Excerpts from our published reporting; open a story for the full context and sources. Dates in UTC.

analysis

Barclays’ Claude rollout has activity figures, not outcome data

Barclays reports broad Claude use in customer support, email triage and software development. Its figures show activity and future targets, but leave error rates, productivity and costs undisclosed.

The big change

What changed: Barclays is extending Claude across several bank workflows and expects Claude Code use to reach half of its developers by the end of 2026.

Why it matters: The disclosed numbers show adoption and processing volume; the announcement does not publish quality, error, cost or productivity measures.

What to watch: Workflow-level results, including correction rates, handling time, code quality and total cost, alongside the planned developer rollout.

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analysis

AI use is spreading beyond coding. Its intensity is harder to prove

Surveys show wider workplace AI use, while experiments find gains and failures in specific tasks. Usage data cannot yet show that other jobs will match coding's intensity.

The big change

What changed: AI vendors now report recurring use and agent activity across more business functions, while independent surveys show broader weekly use among US workers.

Why it matters: Use spreads when tools fit existing workflows, but gains depend on task context and checks. Buyers and workers need outcome measures alongside adoption figures.

What to watch: Repeated task use, verified output quality and net returns beyond coding. Current evidence does not establish when other occupations will reach coding's level of use or what happens to employment.

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analysis

Fake AI policy invitations targeted US experts' cloud accounts

Proofpoint reports a July credential phishing campaign using fake AI policy invitations. Reuters confirmed one recipient received a suspicious message; account compromise is unproven.

The big change

What changed: Proofpoint disclosed targeted July phishing campaigns that used familiar AI policy invitations and impersonated public figures before sending recipients to a counterfeit Microsoft sign-in flow.

Why it matters: A plausible first email can make a later document link seem routine. The sought asset was access to policy experts' cloud accounts, not an AI model or a new exploit against one.

What to watch: Whether affected organizations confirm account compromise, and whether they adopt independent invitation checks and phishing-resistant authentication. The report alone cannot establish either outcome.

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analysis

Tavus Griffin: what its one-minute video-call result shows

In Tavus-run one-minute calls, 26 of 54 people believed Griffin-Lite was a person. The study, NVIDIA benchmark and limited preview answer different questions.

The big change

What changed: Tavus has moved its video assistant research toward a system that listens, watches and generates a face and voice during the same conversation. In its short, company-run calls, 26 of 54 people believed the model was a person.

Why it matters: For teams designing video agents, conversational timing and expressive video can make an interface easier to engage with. The same study shows why telling callers they are meeting AI cannot be left as an afterthought.

What to watch: Griffin-Lite is limited to selected research testers. Tavus says disclosure features and further safety procedures are in development; their form and effectiveness, along with customer access and Griffin-specific pricing, remain unannounced.

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