How can businesses move from AI adoption to measurable business transformation?
Moving beyond AI tool deployment requires rethinking workflows, investing in people, and connecting new capabilities to measurable business results.
Read more →Will AI eliminate more jobs than it creates by 2035?
AI and automation could create more jobs than they displace. The bigger challenge is helping millions of workers move into roles requiring different skills and qualifications.
Read more →What happens to human jobs and wages when AGI can perform all economically valuable work?
Human labor may remain valuable in an AGI economy, even as compute becomes the main engine of growth. The larger question is who benefits from the wealth created.
Read more →What is the best way to find practical AI use cases at work?
Start with recurring tasks, not AI tools. Identify opportunities for AI to create, analyse, strategise or research, then prioritise those offering high impact with little implementation friction.
Read more →Can AI-driven layoffs ultimately hurt the businesses adopting AI?
When AI eliminates jobs faster than new opportunities emerge, company-level cost savings can weaken consumer spending and ultimately hurt businesses across the economy.
Read more →What does AI competitive advantage mean when everyone has access to the same models?
AI advantage will not come from simply using the latest model. It will come from the data, workflows, governance, infrastructure and operating capabilities built around AI that are harder to replicate.
Read more →Why AI automation will have broad-based effects on the labor market?
AI automation may not arrive as sudden disruption to a few tasks. It may spread broadly across many text-based tasks, with capability improving steadily across the labor market.
Read more →How can organizations unlock big value from small AI efforts?
Companies can drive meaningful business impact by scaling incremental, manageable AI use cases instead of adopting a “big bang” approach. This means focusing on building capabilities, managing risk, and climbing a practical AI maturity curve.
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