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Agentic AI could yield creative futures if it augments human workers

Can artificial intelligence systems capable of autonomous action and decision-making become a reality that augments human workers? Or will they be agents of oppression, hell-bent on efficiency?

Anyone who has been held in a customer service phone loop trying to resolve issues relating to products, services, accounts and so on will know the feeling – customer service can be a frustrating, time-consuming experience.

It feels like technology has not helped that much, so when Gartner trumpeted the prospects of agentic artificial intelligence (AI) last year, claiming it was a top tech trend for 2025, it felt a little hollow, something of a ‘here we go again’ moment. Was this a technology that would not only enable automated decision making, but would also form the bedrock on which more coherent and capable agents (AI or human) can operate?

Gartner refers to agentic AI as “a goal-driven digital workforce that autonomously makes plans and takes actions”. It sees it as “an extension of the workforce that doesn’t need vacations or other benefits”.

AI agents sit on top of this, beneficiaries of improved automated infrastructures and frameworks, managing and coordinating operational data. That’s the theory, at least, and recently Gartner doubled down, claiming that “by 2029, agentic AI will autonomously resolve 80% of common customer service issues without human intervention, leading to a 30% reduction in operational costs”.

This is echoed by GlobalData in its Automation 2.0: The rise of intelligent AI agents report, which calls agentic AI “a transformative force redefining the boundaries of automation”.

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BI not BS: how businesses are building futures with data analytics

here’s nothing quite like a bit of optimism. It can be infectious, at least in the hands of the right people. So it is interesting to see statistics from McKinsey, which reveal that global executives currently have a fairly optimistic view of their local economies, despite the ongoing struggle with Covid-19.

More than half of all executives surveyed say economic conditions in their own countries will be better six months from now, and they are also upbeat about their own companies’ profitability. Clearly they must know something, or maybe they are just being bullish, talking it up and hoping for the best.

For any business, building forecasts demands something a little bit more than a hunch. Whether it’s an understanding of market trends and product performance analysis, or building intelligence on internal performance, businesses need facts, not subjectivity. This is where business intelligence (BI) comes in, and this also where it can get a little complicated. Not that it’s stopped CIOs from investing in new tools. According to the Harvey Nash/KPMG CIO survey 2020, business intelligence (BI) is still a top strategic investment for businesses, with a quarter of CIOs surveyed claiming it sits in their top three most important tech investments.

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