IDC recently revealed its top 10 worldwide predictions for artificial intelligence, generative AI, and automation that will significantly impact businesses and technology over the next few years with global spending on AI solutions surpassing $500 billion by 2027. Here is an overview of the predictions:
1. Managing Generative AI Risks
As generative AI advances rapidly, providers will bundle governance and safety packages to help enterprises temper risks like misinformation.
2. Diverse Global AI Regulations
Regulations will vary across regions, resulting in more gradual, phased AI rollout strategies to meet each location’s requirements.
3. Conversational Interfaces Become Standard
Conversational AI will become the norm for customer and employee interactions across sales, marketing, support and more.
4. Focus Shifts to AI Outcomes
Companies will require proof of value from AI investments tied to business KPIs and financial returns instead of focusing just on the technology.
5. Automating Software Testing
Generative AI will transform software testing by automating test creation to improve quality, coverage and efficiency.
6. Boosting IT Modernization Services
Applying AI to modernization services will enhance speed, efficiency and profit margins for IT service providers.
7. Enabling Self-Service Knowledge Discovery
Advances in generative AI will drive demand for capabilities like conversational search and natural language question answering.
8. Monetizing Generative AI
A third of large enterprises will use innovative business models to double monetization of generative AI by 2024.
9. Emergence of Artificial General Intelligence
Groups are advancing toward AGI, with companies expected to experiment with early stage AGI systems as soon as 2028.
10. Evolving AI Compute Priorities
Until algorithms and software stacks mature, investment will shift more towards AI accelerators rather than standard server CPUs.
As Ritu Jyoti of IDC stated, this marks an inflection point for AI adoption and investment. However, thoughtful governance and risk management will be key to ensuring this technology progresses responsibly.Â
