AI adoption stalls: 88% of pilots fail while journalists embrace but worry
A 2025 IDC/Lenovo finding shows most corporate AI pilots never reach production — a gap blamed on data, processes and IT readiness that wastes investment. In Portugal, 70% of journalists say they used generative AI recently and cite productivity gains, but many fear skill loss and damage to trust, creating competing pressures for training and governance.
Apr 5, 2026, 6:14 PM EDT
Why it matters:
- AI can raise productivity, cut costs and automate manual work — but organizational gaps mean companies often don’t capture that value. - Wide newsroom uptake shows the tech’s practical upside, yet journalists’ fears about skills and trust signal a need for ethics and training if benefits are to stick.
Driving the news:
- Fernando Wolff, CEO of Tech for Humans, says most business AI initiatives stay experimental and rarely reach implementation. - A 2025 IDC–Lenovo report finds 88% of AI pilot projects never make it to production, largely due to weak organizational preparedness around data, processes and IT. - Brazilian surveys show 72% of firms remain at the beginner or experimental stage of AI adoption.
By the numbers:
- 88% of AI pilots fail to reach production (IDC/Lenovo, 2025). - 72% of Brazilian companies are at early adoption stages (Abiacom / Brazil Panels / Líderes.ai). - 70% of Portuguese journalists reported using generative AI in the past six months; about one-third use it daily. - 38% of those journalists fear a progressive loss of traditional journalistic skills; 80% use AI for research, ~58% for translations and ~53% for transcriptions.
The big picture:
- Success favors cross-functional projects that align tech, commercial and operational teams and define clear scope and ROI. - Early centralization of AI teams is common; the trend should move toward AI as an organization-wide technology layer once data and processes are cleaned up.
The tension:
- Businesses face a trade-off: invest rapidly and risk flawed rollouts, or delay and miss competitive gains; both choices carry costs. - Newsrooms report productivity boosts from AI tools but also worry about public trust and the erosion of core reporting skills, prompting calls for ethics and professional training.
What to watch:
- Whether companies invest in data, process and IT upgrades that convert pilots into production systems. - Signals of stronger training and ethical guidelines in newsrooms as journalists balance efficiency with accuracy and trust. - How firms measure AI ROI and whether cross-team governance becomes standard practice.
The bottom line:
- AI’s promise is real, but converting pilots into reliable, trusted production systems requires organizational readiness, cross-team alignment and deliberate training or the technology’s benefits will remain stuck on paper.