Hype Cycle stories
Businesses that cut staff too aggressively on AI savings may face higher costs later, with Gartner forecasting rehiring for 30% by 2029.
Warning signs are mounting around AI spending, with one expert saying the likely fallout is a correction that leaves little enduring value.
Pressure is rising on security teams to prepare for quantum attacks, as Gartner highlights QuSecure in three Hype Cycle reports.
Retailers may get more personalised search tools after Constructor was ranked first in three Gartner use cases, ahead of Google and others.
Security chiefs are being given a framework to curb risks as AI spreads through coding, no-code tools and autonomous software workflows.
Growing AI use in coding is widening software risk, forcing security leaders to match training and controls to each adoption stage.
Pressure is mounting on firms to show returns, as 78% of organisations say AI projects have failed or stalled at pilot stage.
Investor appetite for AI remains intense as OpenAI's new cash haul lifts its valuation to USD $852 billion and deepens its compute push.
Arcadian Digital backs small, tightly scoped AI projects solving real business problems over hype-fuelled, grandiose rollouts.
Thrive launches a governed AI workspace and phased adoption model to tame shadow AI, uniting access to 50-plus major language models.
Firms face a chasm between AI hype and CX reality, with security, compliance and organisational readiness the real keys to progress.
NeuBird AI's agentic SRE platform autonomously resolved 230,000 alerts in a year, saving 12,000 hours and USD $1.8 million in costs.
TeamViewer boss Oliver Steil says 2026 will mark AI's shift from hype to Monday-morning results, human-centric workflows and trusted autonomy.
Global AI spend will soar to USD $2.52trn by 2026, Gartner says, as enterprises pour cash into infrastructure and AI-optimised servers.
Nintex warns enterprise agentic AI will face a 2026 reality check, with tighter budgets, targeted use cases and tougher governance.
AI in 2026 will be less about dazzling breakthroughs and more about fragile data, hybrid clouds and investor pressure for real profits.
Rapid growth may be masking a services-heavy model, as customers pay software valuations for AI products that still need armies of engineers.
Many marketers are still unclear how to use agentic AI, even as pilots remain limited and governance questions grow across the industry.
Nearly half of Canadian business leaders are testing AI without seeing returns, as firms struggle to embed the technology into daily operations.
Australian organisations are moving past AI hype, demanding tools that simplify daily work, scale across teams and prove practical value.
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