Mobile carrier capital expenditures (CAPEX) on infrastructure will enter a progressive decline beginning in 2006 that will see infrastructure investments decrease from 47 percent of total operator CAPEX to 33 percent by 2009. While infrastructure spending will remain the largest slice of the CAPEX pie, Pyramid Research�s new report examines how vendors must adapt their business models to address the evolving mobile operator expenditure patterns to capture new, non-infrastructure investment opportunities. Report author Ozgur Aytar states, �The rapid growth of non-infrastructure spending is due to the combined effect of factors ranging from demand for additional capacity to convergence and network evolution towards next-generation networks (NGNs).� Operator investments are shifting from coverage-based radio network deployments towards advancements in the core network, new applications, and network professional services. Increasing network complexity and the fierce competitive market are creating new business opportunities outside of the traditional equipment business for vendors. The opportunities with managed services, systems integration, performance services, and other consultative services will experience rapid growth over the next several years.
The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...