AI-Driven Productivity
Signal overview
Signal area
ECONOMYSignal intensity
Horizon 1
Horizon 2
Horizon 3
Sectors
- Gambling
- Gaming
- Banking And Finance
Advanced AI systems are rapidly evolving, with capabilities advancing doubling every 6-10 months while costs decline. Beyond automation, AI is mastering complex reasoning, creative content generation and predictive analytics – compressing innovation cycles from years to months.
This marks a step-change in productivity, enabling intellectual output to scale without proportional resource increases, and redefining the economics of knowledge work in virtually every sector. As AI takes over coordination and analysis, middle management roles are shifting, creating growing challenges in talent reskilling, organizational design and retention.
While automation accelerates, human skills remain critical, with adaptability, creativity, and problem-solving among the fastest-growing skill areas. From a customer perspective, AI is not considered capable of empathetic interactions, indicating the ongoing opportunity surrounding human-led engagement.
Business impact
Employees will expect 24/7/365 upskilling
As AI automates routine tasks, businesses will be required to rethink retention strategies, review how teams are structured and help employees build new skills.
Businesses will use new ways to measure and reward success
Traditional performance indicators will evolve, with AI-driven systems able to measure new metrics, for example, decision quality, logical reasoning and IP generation.
Companies associated with “human skills” will retain an advantage
AI is yet to replace all creativity, problem-solving, or emotional intelligence – human skills that will become even more valuable.
AI governance frameworks will impact routine corporate decision-making
As AI governance frameworks become more common, companies will be required to ensure responsible implementation and ensure employees are adopting AI responsibly.