HeyJaredVinod Bijlani
- Indexed articles, last 90 days
- 3
- Latest publication
- Sep 17, 2026
- Outlet visibility, for forbes.com
- Top 5K sites
- Earliest in this view
- Aug 5, 2026
Latest articles
Beneath Tokenomics: Why $/FLOP Is Becoming A Critical AI Cost Metric (opens the original)
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Vinod Bijlani is an AI practice leader at Hewlett Packard Enterprise. One number comes up in almost every cost discussion I have with CIOs and AI leaders: price per million tokens. This metric is useful for comparing inference services and forecasting application spend, but it only measures the price of consuming AI, not the productivity of the infrastructure producing it. That distinction matters as AI usage shifts from occasional prompts to persistent agents, multimodal workflows and reasoning
The Unit Economics Of AI: Why Datanomics Will Outweigh Tokenomics (opens the original)
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Vinod Bijlani is an AI practice leader at Hewlett Packard Enterprise. Over the past two years leading enterprise AI programs across Asia Pacific, one pattern has become impossible for me to ignore: The organizations I see spending the most on AI are not the ones getting the most value from it. That's not for lack of investment. Gartner forecasts worldwide AI spending will reach $2.52 trillion this year, a 44% jump from 2025. Almost all of that conversation happens in tokenomics, which includes
Every CIO Should Consider A Hybrid Token Factory—Here's How To Build One (opens the original)
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Vinod Bijlani is an AI practice leader at Hewlett Packard Enterprise. Enterprise IT has only ever known two ways to pay for technology: the SaaS model, which is a fixed license that's tied to seats and renewed annually, and the cloud model, which is a metered consumption that scales with the workloads you provision and the traffic you forecast. Agentic AI tokens fit neither. They're not SaaS, because spend has nothing to do with headcount. One engineer with an autonomous agent can out-consume a
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Top 5K sites
For forbes.com, the outlet · Measured Aug 1, 2026
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