Leaders in organisations throughout the world are focused on riding the wave of an artificial intelligence revolution. AI has emerged as the defining technology of our era, offering a staggering £4.4 trillion in added productivity growth potential from corporate use cases alone.
The AI readiness gap isn’t just a technical issue; it’s increasingly becoming a competitive disadvantage with tangible business impacts:
Internal barriers: Outdated infrastructure is commonly cited as a barrier to effective AI adoption due to its inability to keep up with the demands of AI workloads.
The high cost of getting it wrong: With AI implementation costs ranging from $5 to $20 million per organisation and patchy results, poor infrastructure is proving an expensive blind spot.
Competitive disadvantage: Organisations that fail to bridge the AI readiness gap risk falling permanently behind more agile competitors.
Talent attraction and retention challenges: As AI skills become increasingly valuable in the job market, organisations that cannot offer modern, AI-ready environments struggle to attract and retain top talent.
To thrive, organisations need a flexible, scalable foundation for cloud designed for AI workloads.
