In the past year, generative AI moved from a playground for engineers to a high\u2011stakes laboratory for enterprises. Now the curtain is being drawn on that experimental era, and the spotlight shifts to systems that not only understand but also act\u2014executing complex workflows with minimal human touch.<\/p>\n
What will replace the parameter\u2011count race? Agency, energy efficiency, and the capacity to navigate tangled industrial ecosystems. The next twelve months will force companies to rethink their stack, governance models, and the talent that keeps the engines running.<\/p>\n
Hanen Garcia, chief architect for telecommunications at Red\u00a0Hat, describes 2025 as a year of trial and error. He sees 2026 as a decisive pivot toward agentic AI\u2014software entities that reason, plan, and complete tasks without constant human supervision.<\/p>\n
Telecommunications and heavy industry will be the first arenas for this shift. Garcia points to autonomous network operations (ANO) as the next step beyond simple automation, moving toward self\u2011configuring and self\u2011healing infrastructures. The business goal? Reverse commoditisation by prioritising intelligence over pure hardware and trimming operating costs.<\/p>\n
Service providers are rolling out multi\u2011agent systems (MAS). Instead of a single monolithic model, distinct agents collaborate on multi\u2011step missions, handling intricate interactions on their own. But as autonomy grows, so does the attack surface.<\/p>\n
Emmet King, founding partner at J12\u00a0Ventures, warns that when AI agents can execute tasks on their own, hidden instructions embedded in images and workflows become new threat vectors. Security must shift from endpoint protection to governing and auditing autonomous AI actions.<\/p>\n
Energy emerges as the new choke point. King argues that the availability of power, rather than model access, will determine which startups scale. \u201cCompute scarcity is now a function of grid capacity,\u201d he says, hinting that energy policy may become the de\u2011facto AI policy in Europe.<\/p>\n
Key performance indicators will need a makeover. Sergio Gago, CTO of Cloudera, predicts enterprises will measure energy efficiency as a primary metric. \u201cThe competitive edge won\u2019t come from the biggest models but from the most intelligent, efficient use of resources,\u201d he notes.<\/p>\n
Horizontal copilots that lack domain expertise or proprietary data will fail ROI tests. Buyers will measure real productivity, and the brightest gains will emerge from manufacturing, logistics, and advanced engineering\u2014sectors where AI integrates into high\u2011value workflows rather than consumer interfaces.<\/p>\n
Software consumption is evolving too. Chris Royles, field CTO for EMEA at Cloudera, says the traditional \u201capp\u201d is becoming fluid. \u201cIn 2026, AI will start to radically change how we think about apps, how they function, and how they\u2019re built,\u201d he explains.<\/p>\n
Users will soon request temporary modules generated by code and a prompt, effectively replacing dedicated applications. \u201cOnce that function has served its purpose, it closes,\u201d Royles adds, noting these disposable apps can be built and rebuilt in seconds.<\/p>\n
Governance must keep pace. Organisations need visibility into the reasoning processes that generate these modules to catch errors before they cascade.<\/p>\n
Data storage faces a parallel reckoning. Wim Stoop, director of product marketing at Cloudera, believes the era of \u201cdigital hoarding\u201d is ending as storage capacity approaches its limits.<\/p>\n
\u201cAI\u2011generated data will become disposable, created and refreshed on demand rather than stored indefinitely,\u201d Stoop predicts. Verified, human\u2011generated data will rise in value while synthetic content is discarded.<\/p>\n
Specialist AI governance agents\u2014\u201cdigital colleagues\u201d\u2014will monitor and secure data continuously, allowing humans to govern governance rather than enforce individual rules. For example, a security agent could automatically adjust access permissions as new data enters the environment without human intervention.<\/p>\n
Sovereignty remains a hot topic for European IT. Red\u00a0Hat\u2019s survey shows 92\u00a0percent of IT and AI leaders in EMEA view enterprise open\u2011source software as critical for achieving sovereignty. Providers will leverage existing data\u2011centre footprints to offer sovereign AI solutions, ensuring data stays within specific jurisdictions to meet compliance demands.<\/p>\n
Emmet King adds that competitive advantage is moving from owning models to controlling training pipelines and energy supply. Open\u2011source advances allow more actors to run frontier\u2011scale workloads, diluting the monopoly of a few large vendors.<\/p>\n
Workforce integration is becoming personal. Nick Blasi, co\u2011founder of Personos, argues that tools ignoring human nuance\u2014tone, temperament, and personality\u2014will soon feel obsolete. By 2026, Blasi predicts half of workplace conflict will be flagged by AI before managers even know it exists.<\/p>\n
These systems will focus on communication, influence, trust, motivation, and conflict resolution. Blasi suggests personality science will become the operating system for the next generation of autonomous AI, offering a grounded understanding of individual behaviour rather than generic recommendations.<\/p>\n
The era of the thin wrapper is over. Buyers now measure real productivity, exposing tools built on hype rather than proprietary data. For enterprises, competitive advantage will no longer come from renting access to a model but from controlling the training pipelines and energy supply that power it.<\/p>\n
As 2026 unfolds, the fusion of autonomy, energy consciousness, and data sovereignty will reshape how businesses deploy AI. The next frontier isn\u2019t just smarter algorithms; it\u2019s smarter ecosystems that can reason, self\u2011repair, and respect the physical limits of the planet. Companies that invest in energy\u2011efficient architectures, robust governance, and domain\u2011specific intelligence will not just survive\u2014they\u2019ll lead.<\/p>\n","protected":false},"excerpt":{"rendered":"
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