Suvajit Basu

3 AI Metrics Every CIO Should Know - As we head into another AI‑heavy week, here are three numbers I think every CIO should know in 2026: 1️⃣ Workflow coverage What percentage of your critical workflows (sales, supply chain, finance, operations) are meaningfully impacted by AI today? Not pilots — real production impact. 2️⃣ Adoption rate How often are frontline employees actually acting on AI‑generated recommendations? If the model is “right” but no one uses it, value is zero. 3️⃣ AI incident / near‑miss count How many AI‑related incidents or near‑misses have you logged in the last 12 months (data exposure, bad recommendations, policy violations), and what changed as a result? These are exactly the kinds of signals I want on a single page that CIOs, CFOs, and COOs can share — which is why I’m building TekLedger as a CIO/CFO intelligence layer, and why I’m spending time with teams like Wisdom AI who treat analytics as an AI data analyst, not just another dashboard. If you’re a CIO, CISO, or finance leader coming to AI Hot 100 and want to talk about how to actually capture and visualize these metrics, let’s find 15 minutes while we’re at Civic Hall.

Mythos & OpenClaw: Most AI conversations are about capability. The real story is risk. Headed into AI Hot 100, I’m thinking a lot about AI‑driven risk. Three AI–cyber risks I expect to come up in my conversations this week: 1️⃣ Shadow AI Teams quietly pasting sensitive data into unvetted tools because they just need to get the job done. No logs, no controls, lots of exposure. 2️⃣ Era emergent - Mythos & OpenClaw threats 3️⃣ Supply chain and partner attack surface In CPG, supply chain, and healthcare, the combination of connected plants, logistics partners, and data feeds creates a massive attack surface. A subtle integrity breach can change forecasts, allocations, or safety decisions before anyone notices. On the positive side, I’m excited about teams like Wisdom AI that are using agentic analytics to remove reporting bottlenecks and make it safer and faster to get the right answer from your enterprise data — so people stop routing around the system just to get insight. If you’ll be at Civic Hall and want to dive into AI–cyber scenarios, or see what an “AI data analyst” looks like in practice, DM me. I’m happy to walk you over and introduce you.

Running out of Claude Tokens mid work! WTF

Nobody handed CIOs this mandate. The best ones picked it up anyway — AI strategy, cyber posture, data governance, board accountability. All of it. The title is CIO. The job is Chief Integration Officer. #CIO #AI #Leadership #CEO #Cybersecurity

5 things CEOs need to do on AI in the next 90 days. Most orgs are behind on at least 3. The gap isn't technology. It's who owns the decision. #CEO #AI #CIO #Leadership #EnterpriseAI

Gartner Orlando → iWill NYC. Same week. Different rooms. Same lesson: the technology is not the variable. Who's in the room deciding how to use it — that's the variable. #AI #Leadership #CIO #CEO #GartnerDA

Gartner say - 50% of AI agent failures by 2030 will be due to insufficient governance. Not bad tech. Not bad data. No accountability structure. #AI #AgenticAI #AIGovernance #GartnerDA #CIO

At the iWill Summit in NYC today. A room full of leaders who stopped waiting for permission. After a week of Gartner data on AI — this is the room that will actually execute it. #iWill #WomenInLeadership #AI #NYC

White House cyber strategy + Gartner data summit. Same week. Same signal. AI agents are running your network defense AND your data infrastructure. Your CISO and CDAO need one shared agenda. Now. #Cybersecurity #AI #CIO #CISO #GartnerDA

Gartner just reframed AI ROI as 3 returns: intelligence, integrity, individuals. Most orgs are funding the first. Ignoring the other two. That's why pilots don't scale. #AI #GartnerDA #CIO #CEO #DataStrategy

Two questions your board will ask in the next 90 days. Most CEOs can't answer either cleanly. Q1 (for the CEO): "What did we spend on AI and what moved because of it?" Weak: 'We're investing in the future.' Strong: One pilot. One metric. One result. One lesson. Q2 (for the CFO): "Are we paying the right price for our tech?" Weak: 'IT handles that.' Strong: 'Audited 6 months ago. Saved $X. Here's the next move.' Boards already have the data. $250B spent on AI. 56% saw zero ROI. They are going to ask. Which question are you less prepared for? Drop your answer below. I'll share the one thing I'd do first — no pitch. #CEOLeadership #CFO #BoardPrep #AIStrategy #Founders

𝐘𝐨𝐮𝐫 𝐂𝐅𝐎 𝐤𝐧𝐨𝐰𝐬 𝐭𝐡𝐞 𝐈𝐓 𝐛𝐮𝐝𝐠𝐞𝐭. 𝐀𝐥𝐦𝐨𝐬𝐭 𝐧𝐨𝐛𝐨𝐝𝐲 𝐤𝐧𝐨𝐰𝐬 𝐭𝐡𝐞 𝐚𝐜𝐭𝐮𝐚𝐥 𝐈𝐓 𝐬𝐩𝐞𝐧𝐝. 𝐓𝐡𝐨𝐬𝐞 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐭𝐡𝐢𝐧𝐠. Budget = what you approved. Spend = what's running, renewing, expensing across every department. The gap at a $300M company? Usually $4M–$12M. Per year. Where it hides: → Unused SaaS seats auto-renewing → 4 teams paying for the same tool → Vendor contracts never renegotiated → Shadow IT on expense accounts When did you last audit the full stack — including expenses? Reply: how confident are you in your actual tech spend visibility, 1–10? #CFO #ITSpend #CostReduction #TechProcurement

What does a 14-year comeback teach us about building a company? Everything. 14 years away from the sport he loved. Battling addiction. Battling himself. Rarely touching a golf club. Then Anthony Kim won on Sunday — outplaying Jon Rahm and Bryson DeChambeau — and said something every CEO and founder needs to hear this week: "No matter how bad your day is, if you keep fighting, you never lose." I always find inspiration from sports and the champion's mind and heart. The motivation. The positivity. The way true competitors refuse to let the hard chapters be the final ones. Building a company is not linear. Neither is life. There will be years that feel like a wilderness. Quarters that shake your confidence. Moments where the scoreboard doesn't reflect your effort. Anthony Kim's win isn't just a golf story. It's a reminder that the low point is not the final chapter — unless you make it one. The week starts now. Keep fighting. #CEOMindset #StartupLife #Resilience #MondayMotivation #NeverQuit

As @levie often says — simplicity wins at scale. AI winners won’t be the ones with the most tools. They’ll be the ones with the clearest workflows.

The real startup growth wall isn’t product. It’s decision architecture. Growth reveals organizational design flaws: → more meetings → slower decisions → founders pulled into everything What worked at $5M fails at $20M. Scale comes from removing decision friction — not adding headcount. #Startups #Leadership

I didn’t think I could consistently reach founders with AI content — until I stopped talking about tools and started talking about decisions. Before: I focused on technology. During: I focused on operational clarity. After: The audience shifted from clicks → real conversations. The real shift wasn’t content. It was positioning.

Take Control of Your Personal Data #DataPrivacyDay 2026: ‘You have the power to take charge of your data’? Reality: Said a restaurant name aloud in my car—no search. Hours later, YouTube suggests that exact restaurant’s video. Feels like Google Assistant caught it via false activation (see the fresh $68M settlement over secret recordings & ad targeting). Brutal confession: Still hooked on Google daily. Your creepiest ‘how did they know?’ moment? Reply with app + details. Tag someone this happens to. Let’s expose the privacy illusion. 🔥 #TakeChargeOfYourData #GoogleListening #DataPrivacyDay

@NUCLRGOLF Grounding

Are you a big believer in using iron covers? Aaron Rai is, here’s why ⤵️

Anthropic’s deal for 1M Google TPUs + 1 gigawatt of compute = tens of billions in capacity. This isn’t about faster training — it’s about locking down the AI supply chain. Compute is the new oil. TPUs are the new refineries. #AI #Anthropic #Google #LLM #Compute

What if I told you the future of AI isn't about more data, but about a single, tiny, real-time number in your browser? The real context battle isn't about token limits anymore. It's about access. The memory usage of a single web tab is a perfect visual for the context LLMs cannot get from their training data (it's dynamic, proprietary, real-time). That’s why the industry is shifting hard to LLM Agents that browse. They need the browser to treat the entire web as their live context buffer, not just a static dataset. Closer context = Better answers. Period. #GenerativeAI #LLMAgents #DeepLearning #FutureofAI #AIdevelopment