Risk leadership today is less about control and more about informed judgment, where strategic awareness, technical literacy, and human credibility guide choices in uncertain contexts, supporting sustainable growth. Source @McKinsey link https://
mck.co/4qCaRQM via @antgrasso
ENTERPRISE AI
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Risk Leadership Requires Strategic Awareness and Technical Literacy
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Eight Essential AI Agents for HR Leaders in 2026
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8 AI Agents Every HR Leader Needs to Know in 2026 AI agents are becoming essential in HR — here are eight that HR leaders should understand and consider by 2026. Read more https://
bernardmarr.com/8-ai-agents-ev
ery-hr-leader-needs-to-know-in-2026/
… #AI #HRTech #FutureOfWork #BernardMarr -

AI Expansion Beyond Data Centers Demands Open 5G and AI-Native 6G
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#AI is leaving the data center for robots, sensors, drones, and #XR. It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs. Read more on Börje Ekholm’s blog: http://
m.eric.sn/QlCS50XXRZV via @ericsson #MWC26 -
AI Voice Agents Transform Customer Operations in 2026
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Is the future of customer operations conversational and human?
— Helen Yu (@YuHelenYu) 17 février 2026
"Today, <1% of companies use AI voice agents at scale. In two years? One in three brands will.” — Lauren Rothwell @elevenlabsio made this prediction during #CXOSpice.
Instant support + conversational commerce is… pic.twitter.com/NqIgM5goCyIs the future of customer operations conversational and human? "Today, <1% of companies use AI voice agents at scale. In two years? One in three brands will.” — Lauren Rothwell @elevenlabs made this prediction during #CXOSpice. Instant support + conversational commerce is about to reset customer expectations. 🎧👇 👉 Watch the full conversation here piped.video/CowUElXlDdQ Here is the newsletter: linkedin.com/pulse/ai-voice-… #ElevenLabsPartner #VoiceAgent #ChatAgent #CX #AI
→ View original post on X — @yuhelenyu, 2026-02-17 06:47 UTC
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AI Agent Security: The Critical Bottleneck for Adoption
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The power of AI agents comes from: 1. intelligence of the underlying model 2. how much access you give it to all your data 3. how much freedom & power you give it to act on your behalf I think for 2 & 3, security is the biggest problem. And very soon, if not already, security will become THE bottleneck for effectiveness and usefulness of AI agents as a whole (1-3), since intelligence is still rapidly scaling and is no-longer an obvious bottleneck for many use-cases. The more data & control you give to the AI agent: (A) the more it can help you AND (B) the more it can hurt you. A lot of tech-savvy folks are in yolo mode right now and optimizing for the former (A – usefulness) over the the latter (B – pain of cyber attacks, leaked data, etc). I think solving the AI agent security problem is the big blocker for broad adoption. And of course, this is a specific near-term instance of the broader AI safety problem. All that said, this is a super exciting time to be alive for developers. I constantly have agent loops running on programming & non-programming tasks. I'm actively using Claude Code, Codex, Cursor, and very carefully experimenting with OpenClaw. The only down-side is lack of sleep, and an anxious feeling that everyone feels of always being behind of latest state-of-the-art. But other than that, I'm walking around with a big smile on my face, loving life 🔥❤️ PS: By the way, if your intuition about any of the above is different, please lay out your thoughts on it. And if there are cool projects/approaches I should check out, let me know. I'm in full explore/experiment mode.
→ View original post on X — @lexfridman, 2026-02-17 01:40 UTC
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Abacus AI DeepAgent: Automated Workflows from Description to Execution
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Abacus AI DeepAgent can take a workflow from description to execution, handling each step in sequence without manual setup.
— Abacus.AI (@abacusai) 17 février 2026
This is what end-to-end workflow automation actually looks like. pic.twitter.com/IAaTZM3lORAbacus AI DeepAgent can take a workflow from description to execution, handling each step in sequence without manual setup. This is what end-to-end workflow automation actually looks like.
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Enterprise Open Claw: Secure Environment for Open-Claw Use Cases
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Coming this week – Enterprise Open Claw Yes, you can run open-claw like use-cases in a a secure environment
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Anthropic’s cautious AI approach versus broader access models
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I think Peter’s approach doesn’t align with Anthropic. I’ve seen Anthropic move more thoughtfully and much less the “let it loose and give it all access” approach that Peter is taking. Personally I’ve my own stack that’s much more locked down with full access to my data, that’s
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8,000 AI companies categorized into major groups
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You should check out my lists. 8,000 AI companies: https://
x.com/scobleizer/lis
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MCP Academy: Building Secure AI Agent Servers and Registries
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Get hands-on with MCP. MCP Academy is a practical, half-day training for developers building AI agents. Brought to you by Databricks and @StackLokHQ
, you’ll learn how to build secure MCP servers, curate trusted registries, and use MCP skills to expand what your agents can do.