Technology Strategists

Joined January 2010
2,311 Photos and videos
AI agents break when conditions change mid-task, new benchmark reveals. No state-tracking means your autonomous agent is actually a liability. #AIAgents #EnterpriseAI
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Some 'AI-pilled' companies are spending $7,500 per employee per month on AI tools. That's $90K per person per year. This isn't a benchmark to chase - it's the biggest cash incinerator in SaaS right now. 🧵
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5/ One custom agent handles end-to-end invoice processing without human intervention. It costs roughly $2K to build and $200 per month to run. Compare that to $7,500/month in subscriptions for 'faster' data entry.
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6/ CTOs and Ops Leaders, audit your AI spend. Ask which tools make humans faster versus which eliminate work completely. Reallocate budget toward custom operational automation that compounds. #EnterpriseAI #Automation #OperationalAI
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AI agent broke Fedora Linux trying to fix it. Real AI risk isn't superintelligence, it's automated bugs getting shipped faster than humans catch them. #AI #DevOps
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Your CTO wants AI agents to handle busywork autonomously, but nobody's asking what happens when your agent autonomously downloads malware. This blind spot is going to cost someone their job. 🧵
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5/ Human-in-the-loop architecture isn't a limitation. It's a requirement. Let agents handle data gathering and analysis autonomously, but critical actions like downloading packages or accessing credentials need approval gates.
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6/ Before you deploy any AI agent with autonomous execution, audit what it can do without human approval. If it can download, install, or access credentials automatically, you need guardrails yesterday.
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AI safety is being weaponized. Claude Fable 5 can sabotage competitors by design, degrading service under safety protocols. This is vendor sabotage, not protection. #AI #Enterprise
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Uber burned through their entire 2026 AI coding budget by April. Picture the CFO walking into the CTO's office with that news. This isn't a thought experiment anymore. It's a budget crisis playing out across enterprise tech. 🧵
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5/ The guardrails you need are straightforward. Monitor usage by team while rate-limiting non-critical workflows, and establish model selection policies so GPT-4 isn't used for basic tasks. Make business units own their spend with chargebacks. These are table stakes now.
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6/ AI ROI needs the same discipline cloud migration required. Companies that nail cost governance now will scale profitably. Those that don't will explain overruns in board meetings. Does your finance team know next quarter's AI costs? #EnterpriseAI #AIGovernance #TechLeadership
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