If 2025 was defined by the speed of the AI boom, 2026 is set to be the year the market pivots from “AI tourism” to a focus on tangible value, robust infrastructure, and the human element.
The multi-billion-dollar conversation is shifting from what AI can do to how an organisation can deploy it at scale. The AI gold rush is entering a more sober, challenging, and ultimately more transformative phase.
Here is what industry leaders are predicting will shape the AI landscape in 2026.
The operationalisation of AI
Experimentation with AI is over, and businesses now demand returns on their Generative AI investments, forcing a strategic realignment across the industry. Real-world AI deployment is proving far more complex and bespoke than anticipated.
“In 2026, demand for consulting and engineering talent focused on AI implementation will rise exponentially… In many instances, the ‘hype’ around AI has outpaced practical results. As a consequence, organisations are increasingly turning to specialised consultants and forward-deployed engineers, akin to the ERP consultants of previous decades, to help embed, customise, and operationalise AI solutions, and ultimately help deliver on its very real promise,” shares Sebastiaan Vaessen, Global Head of Strategy at Prosus Group.
The success of at-scale deployment will also hinge on fundamental architectural improvements, namely in how models handle enterprise-specific data. Patrik Backman, General Partner at OpenOcean, tells TFN: “To make AI systems worthwhile, they need to be able to access, understand, and reference all your previous discussions and relevant enterprise data. This is called persistent memory. Without it, LLMs won’t amount to much more than a party trick. In 2026, I expect to see persistent memory become an item on enterprise buyers’ requirement lists.”
Horizontal AI products will also face a challenge as models and infrastructure become commoditised. As this “commodity trap” closes, investment opportunities will shift almost exclusively to vertical, workflow-native solutions.
In the meantime, domain-specific language models and AI applications tailored to industries such as healthcare, law, finance, and manufacturing will deliver higher accuracy, compliance, and, crucially, demonstrable ROI than general-purpose AI.
Agents, robotics, and the companion app
The next 12 months are widely forecasted to be the “ChatGPT moment” for robotics. With a leap in self-adaptive, autonomous technology, we will see these advanced systems deployed at scale.
“We’re really on the cusp of a major breakthrough in robotics – think a ‘ChatGPT moment’ where people start using it and realise, ‘this is magic.’ A major leap in robotics will occur in 2026, enabling self-adaptive, autonomous robots to operate and learn in real-world environments without extensive manual programming,” notes Sandeep Bakshi, Head of European Investments for Prosus Ventures.
Bakshi adds, “The hardware is ready for this leap forward, and the software and use cases are rapidly catching up. The following year will likely see robotics move from impressive demonstrations to scalable, practical deployment, particularly in logistics, delivery, and service sectors.”
AI is set to shift to a team facilitator role, mediating discussions and enhancing group productivity. On the consumer side, the next wave of engagement will be driven by new platform architectures.
The human and cultural bottleneck
As the technology matures, the biggest barriers to success will be human and cultural. In a world saturated with AI-generated content and companion apps, authentic, human experiences will become the new luxury market.
Organisations must treat upskilling programmes as seriously as physical infrastructure, ensuring employees’ skills remain sharp. Investment will also shift to training a new cohort of change managers specifically to navigate widespread AI adoption.
Policy and regulatory moats
The push toward AI sovereignty and homegrown innovation will continue, as reliance on a small number of global providers is considered untenable. Europe’s tech ecosystem is set to enter a growth moment in 2026, with its own set of tech champions fueling innovation pipelines.
Boards must also treat cyber resilience as a core governance priority as AI-driven attacks intensify. “One of the most useful roles for AI here is in day-to-day compliance and fraud monitoring. Tools can scan large volumes of transactions, spot patterns that suggest emerging risks, and help teams digest new rules and guidance more quickly,” says Teresa Cameron, Group CEO, Clear Junction.
Cameron adds, “The final decision still sits with a compliance analyst, but a lot of the repetitive work can be handled upfront: better screening, fewer false positives and quicker reviews when something genuinely needs attention.”
By the close of 2026, all EU Member States are expected to have rolled out their European Digital Identity Wallets (EUDIW), compelling companies in key sectors to use them for strong user authentication and fundamentally altering the landscape of digital access and security.
The year of hard truth
2026 will be the year of ‘hard truths’ in AI, with winners being those who master implementation, specialise vertically, prioritise human agency, and successfully navigate a complex, regulated, and geopolitically charged landscape.
