IBM explores if red teams can block prompt injections in AI, offering practical angles on protecting LLM investments from costly exploits. Is your AI deployment hardened enough?
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IBM explores if red teams can block prompt injections in AI, offering practical angles on protecting LLM investments from costly exploits. Is your AI deployment hardened enough?
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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
Samsung and SK Hynix just announced a combined $1.3 trillion investment plan for new AI chip fabs in South Korea. This is the single largest semiconductor bet in history -- and it signals that Asia isn''t just participating in the AI race, they are building the physical infrastructure to dominate it. For business leaders watching closely, the message is unmistakable: the hardware layer of AI is where the real economic value is being forged, and Korea is staking its claim.
OpenAI just dropped GPT-5.6 ''Sol'' -- and guess what? You probably can''t touch it.
This thing scored 88.8% on Terminal-Bench 2.1 (91.9% in Ultra mode). It''s a genuine leap forward. But OpenAI locked it to about 20 trusted partners under U.S. government cybersecurity review before any wide release.
Meanwhile, Samsung and SK Hynix just announced a $1.3 TRILLION AI investment plan. The industry is going all-in.
Here''s my take: We''re watching a two-tier AI system form in real time. The insiders get the cutting edge. The rest of us? We wait. And that should make every single one of you uncomfortable.
AI Revolution breaks down what Sol can do, why it''s locked down, and what it means for the rest of us. Watch this
Automation Anywhere's Pathfinder Training Camp 2026 delivers targeted automation training to drive measurable ROI via practical deployments. Expect real-world tactics for scaling efficiency. Worth the investment for your ops?