Enterprises are not building AI advantage. They are leasing it.
THE SO WHAT
If your AI strategy is just 'use the leading API,' your moat is on someone else’s roadmap and pricing page. Start documenting where you need proprietary data, models, or workflows that can’t be replicated by any customer of the same vendor.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIThe dangerous myth of the ‘best’ AI model
The real moat is shifting from picking a single 'best' model to orchestrating many—routing by task, cost, latency, and risk. If your stack is hard-wired to one provider, start designing for model-independence before pricing or policy changes force your hand.
Applied AIOpenAI unveils ChatGPT Work, an AI tool capable of handling workloads across finance, data analytics, engineering, and more
ChatGPT Work pushes agentic workflows directly into the hands of end users—compressing the gap between SaaS and 'do-it-yourself' automation. If you sell point solutions in finance, analytics, or engineering, assume your users will trial this in parallel and design your value around depth, controls, and integration, not generic automation.
OpenAI wants to free us from our screens. Who's going to tell them?
A screenless AI device runs straight into entrenched user behavior—people like visual control and feedback. If you're building new hardware around AI, treat 'habit change' as a core risk item, not a marketing challenge.
Applied AI‘AI accountability agenda’: US senator unveils package of bills to curb tech’s harms
A coordinated 'AI accountability agenda' from Senator Markey—targeting datacenters, automated hiring, and child harms—moves US policy from hearings to draft rules. If you deploy AI in HR, consumer products, or run large compute, assume disclosure and audit requirements are coming and start logging decisions and data flows now.