Automation Anywhere unpacks how agentic AI can deliver real ROI in healthcare via automated workflows and fewer errors. Five-year outlook stays practical, not hype. How will you track the savings?

Automation Anywhere's talk unpacks agentic AI's potential to cut healthcare admin costs and boost throughput with measurable ROI. Practical look at scaling autonomous workflows. How would this change your ops?

Automation Anywhere breaks down agentic AI's real ROI in healthcare, from slashing admin costs to scaling ops in five years. Practical wins or hype?

Google Cloud Tech breaks down how Agile devs gain edge by adopting agentic AI skills for faster delivery and clear ROI. Practical shift, not theory. How will you track productivity gains from agents?

IBM breaks down how Fable 5 and GPT-5.6 could accelerate agentic ransomware like ClickFix. Prioritizing targeted safeguards now protects ROI by cutting exposure to high-impact threats. How are you stress-testing your AI defenses?

IBM shows how agentic AI drives safe code refactoring, slashing manual fixes and risk while lifting dev ROI on legacy systems. Practical edge or hype? How do you measure refactoring ROI?

IBM CEO Arvind Krishna walked onto the Masters of Scale stage this week and told founders something most AI vendors will not say aloud: Your Year 1 AI ROI will almost certainly be negative.

That is not pessimism. That is data. IBM is tracking $5 billion in cumulative efficiency gains against a 2022 baseline — but getting there meant accepting an upfront loss, redesigning workflows from the ground up, and treating Year 1 as an infrastructure investment, not a returns play.

Krishna''s framework is simple. Year 2 is where the 10x returns show up — but only for organisations that stop bolting AI onto broken processes and start reimagining the work itself. He calls it day zero thinking, and most enterprises never get there because their CFO kills the project before the compounding begins.

The episode also makes a case against the foundation model arms race. IBM is betting on AI orchestration — stitching models together into agentic workflows — not building bigger language models. That is a contrarian bet worth watching.

Here is the hard question for every business leader watching: Are you measuring your AI programme on a one-year horizon when the real returns do not materialise until year two?

— Priya Sharma

Enterprise Tech Talk just published a deep dive that cuts through the agentic AI hype and gets to the question every business leader should be asking in mid-2026: how do you scale agentic workflows without your costs scaling with them?

The video breaks down the difference between the 5% of enterprises seeing real returns from agentic deployments and the 95% still stuck in pilot purgatory. The hard truth is that context, memory, and orchestration are the bottlenecks — not model capability. Most of you have the models. You do not have the architecture.

The most painful metric cited? Salesforce Agentforce hit $540 million ARR with 18,500 customers reporting an average ROI of 171 percent. That is not aspirational — that is production. And yet most enterprises are still treating agentic workflows as an experiment rather than an operating model shift.

Where is your enterprise on that curve? Are you building engineering foundations for autonomous agents, or are you just layering another tool into a fragmented stack?

— Priya Sharma

Folks, Wes Roth just dropped a killer breakdown of Hermes Agent integrating with Stripe Payments AND NVIDIA Nemotron -- and let me tell you, this combo is genuinely insane. We''''re talking about an open-source AI agent framework handling real payment processing, backed by NVIDIA''''s latest reasoning model. This is what actual AI agent utility looks like -- not the vaporware promises, but real, running code that processes transactions. The agentic economy is here, and it''''s running on open-source infrastructure. Pay attention.