AI earns its place when it boosts conversion and shortens the time to value. Execution becomes the constraint: teams must test in real contexts and link use cases to revenue, where decisions accelerate.
@antgrasso
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Early collaboration with regulators for ethical and safe AI
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AI ethics becomes practical when companies collaborate with regulators from the start. Clear rules help teams design safer systems, reduce legal risks, and explain AI decisions with more confidence.
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Agentic AI drives tech services to pick role, from enabler to builder
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Agentic AI is pushing tech services to pick a clear role, from enabler to full solution builder. Each choice affects skills and delivery, so organizations must decide where to invest and how to scale. Source @McKinsey Link https://
mck.co/4cCZTGm via @antgrasso -
AI agents transition from pilots to core operations in sales, research, security
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AI agents move from pilots to core operations across sales, research and security. Margins and skills pressure push teams to automate decisions, while keeping control tight. Source @Gartner_inc Link https://
gtnr.it/3KasVBM via @antgrasso -
Embodied AI: The Crucial Test for Contextual Intelligence and Real-World Benchmarks
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The more I study AGI, the more I see Embodied AI as a necessary test of intelligence in context. Robots force AI to face physics, uncertainty, timing, and action.
— Antonio Grasso (@antgrasso) 6 juin 2026
That is why real-world benchmarks matter so much. https://t.co/lGqcmo8EBZThe more I study AGI, the more I see Embodied AI as a necessary test of intelligence in context. Robots force AI to face physics, uncertainty, timing, and action. That is why real-world benchmarks matter so much.
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AGIBOT WORLD CHALLENGE: Evaluating intelligence in embodied AI for action and adaptation
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AGIBOT WORLD CHALLENGE @ ICRA 2026 caught my attention because I have recently been studying AGI, and I am still actively researching it.
— Antonio Grasso (@antgrasso) 5 juin 2026
Embodied AI brings a key question into the physical world: so how do we evaluate intelligence when it must understand, plan, adapt, and act?… pic.twitter.com/gD4R0PmvuAAGIBOT WORLD CHALLENGE @ ICRA 2026 caught my attention because I have recently been studying AGI, and I am still actively researching it. Embodied AI brings a key question into the physical world: so how do we evaluate intelligence when it must understand, plan, adapt, and act?
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AI simulations: test business choices risk-free, boost confidence
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AI simulations help leaders test business choices before real money is at risk. By modeling customers, competitors, and market reactions, teams can compare options, find weak points, and decide with more confidence. Microblog @antgrasso
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Self-supervised learning cuts annotation costs, speeds up AI model deployment.
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Self-supervised learning reduces annotation costs by generating labels from raw data, limiting manual effort. As models scale across business units, pretraining on unlabeled datasets shortens fine-tuning cycles and frees skilled teams for higher-value work. Microblog @antgrasso
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Huawei’s Tau Scaling: Orchestration is the Next Frontier in Semiconductors
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Huawei’s Tau Scaling signals a broader shift for semiconductors: progress may depend less on nanometers alone and more on latency, data movement, energy efficiency, and coordinated system design. Beyond shrinking, the next frontier is orchestration.
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The Shift from Monitoring to Action in Enterprise AI
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I agree, the shift from monitoring to action is where enterprise AI starts to create business value. Real-time infrastructure gives teams the speed and context they need.