All articles tagged with #pricing models
A RBC Capital Markets CIO survey of 100+ tech leaders shows enterprise AI budgets expanding into 2H 2026, with token costs mostly manageable; more than half say AI is already in production or will be within six months. OpenAI leads in usage (ChatGPT 57%) and performance (44%), while pricing shifts toward hybrid seat-usage models and 91% of respondents report creating entirely new AI budgets.
After a rush of AI tool adoption, major companies are reining in costs with usage-based pricing, token caps, and cheaper models, shifting focus from broad AI spending to strategic, cost-efficient AI that still delivers value.
AI is driving a shift from generalist strategy consultants to specialists with industry-focused expertise, with firms potentially displacing up to 25% of generalists over five years and hiring of specialists rising as much as 60%. Pricing is moving toward fixed, outcomes-based models, and firms emphasize impact and domain expertise over generic analysis.
A reader suggests that Take-Two's idea of charging for games based on the hours played could be beneficial if implemented with adjustments. They propose that full-price games should be free for the first five hours and then players pay for what they play thereafter. This would allow players to try the game before committing to a purchase and avoid paying for content they don't use. The reader believes this pay-as-you-play model could generate more revenue for companies and attract more players. However, they acknowledge that it is unlikely to happen and anticipate that game prices will continue to rise.