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Analyst Blog
January 21, 2026

Agentic Automation Doesn’t Fail at Reasoning. It Fails at Inputs.

Data to Decisions
Most enterprise AI failures aren’t caused by bad models. They’re caused by teams trying to scale automation on top of search-era infrastructure. This article is about what breaks after the demo and what you have to build differently.
Michael Ni
Analyst Blog
January 21, 2026

Constellation Research's AI-First Service Firms

Future of Work
Legacy organizations caught between two S-curves must quickly decide whether to start from scratch and migrate, or to modernize their technical debt within their existing organizational structures. Organizations embracing an AI-first approach will make the key architectural shift needed to gain an attacker’s advantage.
R "Ray" Wang
Analyst Blog
July 07, 2024

Monday's Musings: How To Deliver On Both Performance And Diversity Amidst The DEI Backlash

New C-Suite
The recent backlash on diversity, equity, and inclusion (DEI) programs stems from both the lack of quantitative data showing how diverse teams improve performance and the discriminatory nature in how these teams were constructed. In 2015, a McKinsey study lauded the dividends to be gained from diversity. The well meaning Davos set used this study to launch a movement for diversity, resulting in hundreds of billions spent on diversity programs across businesses, the public sector, and non-profits over the past decade.
R "Ray" Wang
Analyst Blog
June 24, 2024

News Analysis: Only A Few Companies Will Win In Fueling The Age of AI

Data to Decisions
AI Begins And Ends With Nvidia Despite the massive buzz on AI, only a few core companies that power the Age of AI will succeed. The high capital costs of research and development investment, the time required to take a product to market, and the ability to cross competitive moats create a massive barrier to entry. In fact, only a few vendors have shown significant profits in AI:
R "Ray" Wang