Research
What published studies find about AI at work, and what it means for an organisation like yours.
October 2026
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Australia's AI Value Gap Is a Measurement Problem First
More than a third of Australian firms are spending on AI without proof it works, and the firms pulling ahead share one habit: they measure continuously.
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Most firms still cannot prove their AI is paying off
In McKinsey's 2026 survey, 80% of respondents say AI improved their own productivity, but only 37% attribute any earnings impact to it.
September 2026
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Depth, not breadth: what the new PYMNTS data tells you to measure
Firms with AI embedded in three or more functions use it on no more tasks than firms with one or two, yet 93% report returns against 55% (PYMNTS).
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The enterprise AI ROI gap: why felt productivity is not proof
In ModelOp's 2026 survey of 100 senior AI leaders, more than two thirds of enterprises still judge AI's return on estimates, not measured financial results.
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Money wasted on AI is climbing because almost no one is measuring it
In Flexera's 2026 survey, only 31% of organisations had accurate visibility into their AI software, and 59% said money wasted on AI had grown.
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Organisations estimate a quarter of their AI costs are wasted, and nobody owns the bill
Harness found organisations estimate about 26% of their AI costs are wasted, and only 13% have basic visibility into what they spend on AI.
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Firms tripled what they spend on AI. Most still can't prove it worked.
Enterprise spending on generative AI tripled to about US$37 billion in 2025, yet fewer than four in ten organisations can attribute any financial impact to it.
August 2026
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57% of senior AI leaders say their AI returns still don't outpace the costs: what to measure instead
Senior AI leaders report two years of flat returns while the models keep improving. Where the gap sits, between the models and everyday work, and how to measure it.
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56% of CEOs worldwide say they've seen no significant financial benefit from AI so far
Only 12% of the CEOs PwC asked report both lower costs and higher revenue from AI, and they are two to three times as likely to say they embed it extensively.
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Only 6% of leaders have a framework that tracks AI returns consistently: what one looks like
Battery Ventures found 62% of enterprises already report AI ROI to the board, yet only 53% can point to a clear return.
July 2026
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Measure what AI earns, not just how much it's used
In Writer's 2026 study, 59% of organisations spend US$1 million or more a year on AI, and 29% report significant returns.
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Rising AI spending, elusive returns: what KPMG's data says about measurement
In KPMG's data, leaders who can see their AI costs clearly are five times as likely to report established ROI, 15% against 3%. About a third can.
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The trust deficit is the missing layer beneath every AI ROI dashboard
AI tools can give different answers to the same question, and leaders who expect ordinary software are often disappointed by the returns. Why trust in the output belongs beside every ROI figure.
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Microsoft is spending US$190 billion on AI infrastructure and cutting jobs: what to measure in your own AI costs
The job cuts came alongside a 30% fall in Microsoft's share price, about US$1.2 trillion of market value in nine months, as spending outran visible return.
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Microsoft's US$2.5 billion bet on deployment, and how to see whether yours pays off
Microsoft is embedding 6,000 employees with its customers to deploy AI, two days after Amazon put US$1 billion behind the same idea.
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