WorkAI

Enterprise AI for the C-suite. Real deployments, real numbers, real results. Filmed at the New York Stock Exchange. Weekly.

[WorkAI @WorkAITV]

Anthropic (@AnthropicAI) CEO Dario Amodei (@DarioAmodei) argues frontier AI capability growth should slow enough for safety work to keep pace. The debate is shifting from whether AI moves fast to how deliberately the frontier moves.

https://t.co/oCaWKN5mZI

[WorkAI @WorkAITV]

AI agents need HR data. @GoogleCloud and @Workday are using zero-copy sharing to reduce duplication. Here's what that changes—and why access controls still matter.

[WorkAI @WorkAITV]

@Google's A2A protocol has joined the Agentic AI Foundation. It lets AI agents from different vendors discover each other and hand off work using a shared standard.

https://t.co/xEQ9VIWWLD

#EnterpriseAI

[WorkAI @WorkAITV]

Cohere (@cohere) CEO Aidan Gomez (@aidangomez) tells @CNBC that frontier AI models are now cyber weapons at unprecedented scale. For business leaders, the question is no longer just capability; it is also defense.

https://t.co/ifUGj8MTAV

[WorkAI @WorkAITV]

Is this the new face of customer support?

[OpenAI Developers @OpenAIDevs]

GPT-Live-1 is now available in the API.

Bring ChatGPT’s natural back-and-forth to your app, with voice agents that listen while they speak and work with the models and harness you choose.

[OpenAI Developers @OpenAIDevs]

GPT-Live-1 is now available in the API.

Bring ChatGPT’s natural back-and-forth to your app, with voice agents that listen while they speak and work with the models and harness you choose.

[Fab @fabrice_mayrand]

https://t.co/qstb1yaXD5 is the cheapest AI provider

Every model is discounted up to 81%!

ZDR available

[WorkAI @WorkAITV]

@JamesMalsawm @ForwardEditor Post workflows, prompts, skills?

[WorkAI @WorkAITV]

Mistral AI (@MistralAI) CEO Arthur Mensch (@arthurmensch) argues that control and adaptability matter as much as raw AI power. For enterprises, model capability is only half the strategy.

https://t.co/Spxmbf6bvR

[WorkAI @WorkAITV]

@OpenAI, led by @sama, has signed a multi-year compute deal with Firmus for two planned AI factories in Malaysia using NVIDIA Vera Rubin systems.

https://t.co/i0FDGDRMEp

#EnterpriseAI

[WorkAI @WorkAITV]

Greg Brockman on Astra: “I'm particularly excited to see how it transforms areas like entrepreneurship, scientific discovery, and how small teams tackle big problems.” @OpenAI @TheNationalNews

[WorkAI @WorkAITV]

Sam Altman (@sama) on what comes next. “We are the pragmatic centrists. We want to be accurate in how we talk about what we see in the future.”

https://t.co/0oLGAKLzbV

@axios

[WorkAI @WorkAITV]

💪

[WorkAI @WorkAITV]

@Dell says agentic AI is driving another infrastructure wave. Dell reported $47B in quarterly revenue and a record $95B AI server backlog. More enterprise buyers are moving from pilots to scale.

https://t.co/21nhstMp8Y

#EnterpriseAI

[WorkAI @WorkAITV]

Congrats to @wonderful_ai. Its approach makes me think enterprise AI adoption will require far more hands-on human work than the word “automation” suggests. The company embeds engineers with customers to connect AI to their systems and get it into production.

That makes sense. An agent handling a billing problem needs access to the right records, permission to act, and somewhere to send exceptions. Someone has to understand how the business actually works.

I'm curious how much of that work is reusable from one client to the next.

One example caught my attention: Wonderful says a Bank Hapoalim (@PoaliMarkeTweet) engineer built a new savings-campaign agent in three weeks, reusing 15 tools that Wonderful’s engineers had created for earlier deployments. This is from a company-reported case study, but still a concrete example of a customer building on the initial investment.

That's really the question I have for all Enterprise AI vendors. Does implementing the solution for client X+1 cost less than X? Where is the efficiency coming from other than the experience of forward deployed engineers?

A $550M funding round gives Wonderful room to expand. Looking forward to seeing them succeed.

For anyone buying #enterpriseAI, my question for you is... after the first project, what will your own people be able to do that they couldn’t do before?

[Wonderful @wonderful_ai]

Wonderful has raised a $550M Series C at a $5 billion valuation.

This latest funding was led by @insightpartners, with @salesforce joining as new investors and @IndexVentures, @BessemerVP, @IVP, @VineVenturesLP, and @9yardscapital returning.

In 20 months since launch, we're in production with hundreds of agents, systems, and workflows across a dozen verticals in over 30 markets.

With this new capital, we’ll be overdelivering for our customers, hiring hundreds of cracked engineers, FDEs, and former founders, and expanding our product capabilities across the entire enterprise.

Stay tuned 👀

[WorkAI @WorkAITV]

@NVIDIA says AI infrastructure demand is still accelerating. @JensenHuang: "Now, compute is revenue."

Blackwell supply is becoming an enterprise planning issue.

https://t.co/FfY3qFx4zp

#EnterpriseAI

[Trung Phan @TrungTPhan]

startup CEO after closing the first $250k enterprise contract with a Fortune 500 by promising dozens of features that don’t exist, and the founding CTO who has 72 hours to build it

[WorkAI @WorkAITV]

@TrungTPhan sounds about right.

[WorkAI @WorkAITV]

@HUMAIN named @Minio to lead the architecture and development of HUMAIN Fabric, an AI-native data platform launching first for Saudi enterprise and public-sector deployments.

https://t.co/UWjw4Ojsur

#EnterpriseAI