5 strategies that separate AI leaders from the 92% still stuck in pilot mode
1 min read
Summary
A new study by Accenture suggests just 8% of firms can be classed as ‘front-runners’ in terms of successfully implementing scalable AI, with 92% struggling to move beyond experimental implementations.
The report highlights five points pertinent to enterprise IT leaders looking to implement AI:
1 - Talent maturity is key to scaling, with businesses focusing on talent development rather than simply investment reaping the rewards.
2 - Data readiness is critical to AI implementation, with 70% of companies acknowledging the need for a strong data foundation to scale AI, and front-runners developing three or more new data capabilities compared to just 5% of experimentalists.
3 - Strategic bets deliver better returns than broad implementation, with focused, long-term investments in AI core to a company’s value chain delivering significant payoffs.
4 - Responsible AI practices can create value beyond risk mitigation, building customer trust, improving product quality and bolstering talent acquisition.
5 - Agentic AI architecture, or networks of autonomous AI agents, are transforming workflows and bridging the gap between experimental and enterprise-wide AI implementation.