20 articles tagged
Open weights closed the intelligence gap from 13 points to 6, yet enterprise share fell to 11%. New August 2026 data shows identical weights scoring 22% or 37% on tool calling depending only on the endpoint.
Gartner expects over 40% of agentic AI projects canceled by 2027 and MIT found 95% of gen AI pilots delivered no measurable P&L impact. Here is the scoping discipline that gets enterprise agents to production.
A Zinnov-ProHance study found 92% of India's GCCs are piloting or scaling AI, yet over 70% lack a structured way to prove ROI. Here is a five-dimension, finance-legible framework to measure AI value across maturity
Frontier models cluster within points on every eval, and your workload reorders them. A senior engineer's scorecard for choosing an LLM in 2026: predictability, latency, token economics, and supervision load.
RAG is the right first choice for most LLM applications, but not all. This guide shows when fine-tuning an open model beats RAG, what a LoRA run costs in 2026, and how eCorpIT delivers domain adaptation for Indian teams.
Over 40% of agentic AI projects will be cancelled by the end of 2027, Gartner says, on escalating cost, unclear value and weak risk controls. A build plan for staying in the surviving 60%.
Anthropic, Blackstone and Hellman & Friedman launched Ode with Anthropic on 15 July 2026: 100 engineers, a $1.5 billion valuation, and a Claude-first delivery model. The launch prices the scarcest input in enterprise
Published Indian voice AI rates run from ₹2 to ₹12 a minute in 2026, and Bolti, Tabbly.io and Caller Digital each price on a different basis. Here is what actually lands on the invoice.
Thinking Machines shipped Inkling, a 975B open-weights model with 41B active, 1M context and native audio and vision. Here are the benchmarks against Kimi, DeepSeek and the closed frontier, the real cost, and who should
Agents do not crash. They return a confident, plausible, wrong answer, and nothing goes red. Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027. Here is what to instrument, what to score
Anthropic's Ode is valued at $1.5 billion; OpenAI's rival venture raised $4 billion at a $10 billion valuation. Both bet that implementation, not models, is the trillion-dollar business. Ode has 100 engineers and works
Three frontier models shipped within ten days of each other in mid-2026, at list prices that differ by 5x. The published price is not what you pay. Here is how to route workloads on evidence instead of vendor loyalty.
Microsoft, Amazon, OpenAI and Anthropic have all committed billions to putting their own engineers inside your company. Here is how to decide who should actually deploy your AI, and the conflict each model carries.
AI infrastructure spending is projected at $1.5 trillion for 2026, and Sequoia's arithmetic says the industry must earn $3 trillion to justify it. Frontier lab revenue sits in the low hundreds of billions. Here is what
Anthropic's annualized run rate went from $9 billion at the end of 2025 to $47 billion by May 2026. Glean, Sierra and Mercor are accelerating too. Fast-growing vendors reprice, and the switching costs you accrue this
On July 2, 2026, Mark Zuckerberg told Meta staff that AI agent progress had not accelerated as executives expected, after 8,000 layoffs and up to $145 billion of 2026 capex. Gartner puts agent pilot failure at 89%. Six
Google delayed Gemini 3.5 Pro to July 17, 2026 after scrapping its base model for a rebuild. The lesson for enterprises is model-roadmap risk, and why a multi-model strategy beats betting on one vendor.
On 11 May 2026 OpenAI launched DeployCo, a $4 billion company that embeds engineers inside enterprises to ship AI. Here is what it means for AI buyers and the consulting market.
The Fable 5 order suspended a live AI model worldwide in hours, while chip bans play out over months. This guide compares the two export-control risks and shows founders and CTOs how to price model-continuity
Apple blocked Siri AI from EU iPhones and iPads under the Digital Markets Act on June 8, 2026, with no timeline. This guide covers what happened, whether the EU will get it, and four moves CTOs should make to plan AI
