Tag: enterpiseai
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More AI, more human managers
Some real centaur business here. Technology is hard, culture is harder, process and people are bottlenecks, etc. Management matters more in a world where AI is widely available. Twenty-two essays from Rotman faculty arguing that judgment is the scarce resource when intelligence is abundant, organized around five elements of managerial judgment. The evidence is historical:…
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Enterprise AI usage slowly rolling out, jobs are not chaning much
One read of this is that things are too slow. Another read is that things are going at exactly the pace you would expect. Success in software projects/strategies/iniatives is historically low. And changing people’s jobs and cross-organization process is fraught as well. So, read it from your vantage point of AI-hopeful, or AI-skeptic. Deloitte’s survey…
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These AI companies aren’t serious people w/r/t “Enterprise”
Trust in these vendors is not warranted yet. They are not enterprise grade. They don’t understand enterprise terms and conditions. They don’t understand enterprise liability. They don’t understand enterprise you know consistency and continuity… If you decide to stay with the first version of a model, they’re not going to be paying attention to you…
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AI adoption at work is broad but shallow
Overall, as of May 2026, 55 percent of US adults between the ages of 18 and 64 used generative AI for non-work reasons and 45 percent of US adults used GenAI for work, according to the paper. The overall adoption rate (work or otherwise) is 62 percent. 🔗 AI adoption at work is broad but…
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Understanding ChatGPT Work
Reverse engineering OpenAI’s sprawling agentic AI PaaS. 🔗 Understanding ChatGPT Work
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Before You Build An AI-Powered Enterprise, Build Its Human Foundation
“AI Amplifies What Already Exists” – you’ll get better at what you’re good at, and worse at what you’re bad at. 🔗 Before You Build An AI-Powered Enterprise, Build Its Human Foundation
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Effective Patterns for Advanced MCP Usage
MCP gateways. 🔗 Effective Patterns for Advanced MCP Usage
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We need more than a metaphor: here are testable diagnostics for comprehension debt
“Comprehension debt” In Sonar’s State of Code Developer survey from January, 96% of developers said they don’t fully trust that AI-generated code is correct, but only 48% of them check it before committing. This stat is old now relative to the pace of AI adoption, but based on my continual interviews and conversations with development…
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Cloudflare launches Identity-Aware AI Gateway to track who is using AI
Funneling all AI traffic through a single point does other work as well. Repeat requests can be cached to cut redundant costs. Rate limits stop runaway usage before it hits the invoice. Automatic filters strip employee names, passwords and other sensitive data out of requests before they ever reach an outside AI provider. 🔗 Cloudflare…
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Gartner Survey Finds 87% of Customers Say Companies Using GenAI for Customer Service Must Provide Access to a Human Agent
AI can streamline service, but customers ultimately want the reassurance of human judgment. 🔗 Gartner Survey Finds 87% of Customers Say Companies Using GenAI for Customer Service Must Provide Access to a Human Agent
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AI layoffs get mixed results
[Forrester’s] survey of leaders found 55 percent of employers regret having made tech-driven staff cuts—leading its analysts to predict ‘half of AI-attributed layoffs [will] be quietly reversed.’” And: ‘Staffing company Robert Half has estimated that a third of hiring executives who said they’d eliminated roles due to AI automation had rehired those employees or recruited…
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training your replacement
Yes: the work is moving from writing code to specifying, verifying, and curating knowledge. But: the code is the better spec. Their point: code is the only artifact that’s unambiguous, executable, and – this is the big one – deterministic. A prose spec is fuzzy and an agent will interpret it a little differently every…


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