Similar patterns are showing up across industries. Three-quarters of manufacturers have deployed AI, mostly for production optimisation, customer service and inventory management. Nearly 90 % of game developers use AI agents. But the successful implementations share common characteristics: they solve real problems, they’ re easy to use and they deliver measurable value quickly.
The economics have shifted dramatically in favour of these practical applications. The cost of running AI models has dropped dramatically: between November 2022 and October 2024 the cost to run AI at GPT-3.5’ s level of performance dropped by more than 280x. That economic transformation has removed the cost barriers that used to limit AI to experimental projects, opening up routine business applications that were previously uneconomical.
What comes next? Oliver sees two major trends shaping enterprise AI adoption. First, AI capabilities are moving from specialised applications into everyday work tools.“ You’ ll start to see those kinds of capabilities show up in many more companies for their employees,” he says.“ Agentspace is really designed to put the capabilities that are at product level into the hands of employees.” technologymagazine. com 33