The technology industry faces a 2027 test: turn years of investment into measurable returns, while dealing with supply-chain pressure and bigger questions about control of technology. Research firm Omdia expects AI spending to keep growing, but says businesses will be judged increasingly on productivity and return on investment.
Watch Desk analysis
What happened
Omdia identifies four forces likely to shape the year ahead: monetising AI, persistent supply-chain disruption, digital sovereignty and AI moving into the physical world. Its outlook was reported by the Cyprus Mail.
The figures sketch out the competing pressures. Omdia says 59 per cent of organisations expect their AI budgets to rise by at least 10 per cent in 2027. At the same time, hardware delays are already affecting 60 per cent of PC channel partners. More than 100 countries are pursuing initiatives for greater control over data, infrastructure, AI and digital supply chains, the report says.
Omdia also forecasts that global humanoid robot shipments will exceed 700,000 by 2030. That is a projection, not a current shipment count or proof that the robots will be useful at scale.
Why it matters
The tension is plain: organisations may spend more on AI while demanding clearer evidence that it improves work or delivers economic value. Meanwhile, shortages and competing national rules could make it harder, costlier or less straightforward to build and deploy the systems they are buying.
Omdia’s outlook brings those pressures together, including the spread of AI into vehicles, buildings and workplaces. Its figures are forecasts and reported indicators, not guarantees of what will happen. Still, they give businesses and readers a useful test for the next year: look beyond announced investment to what is operating and delivering measurable results.
Our read
“AI needs to demonstrate returns,” Omdia’s chief research officer Evan Kirchheimer says. Quite. The more interesting question is what counts as a return: lower costs, better services, or work that was previously impossible? Bigger budgets and ambitious robot forecasts make for striking headlines. They do not, by themselves, settle the business case.
What to watch
- Whether rising AI budgets translate into disclosed productivity gains or revenue.
- Whether hardware delays persist as demand for AI infrastructure grows.
- How organisations balance digital sovereignty with cost and access.
- Whether humanoid robot shipments approach Omdia’s forecast, and where the machines are deployed.
Discussion spark: When companies assess AI’s return, should they prioritise measurable productivity and cost savings, or give more weight to new capabilities that are harder to quantify?
Sources and evidence
- Source update (12 October 2026, 04:30 UTC)
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