The AI Outlook 2026: How Intelligent Technologies Reshape Enterprise Value

Explore how AI has evolved from scattered pilots to a transformative force rewriting the rules of business and productivity.

Gain insight into the emerging AI stack, market-wide trends, and the industry transformations shaping the next phase of enterprise innovation. Explore workforce implications, shifting talent dynamics, and key findings from OVHcloud on AI maturity in Poland.

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The acceleration of AI adoption signals a turning point where artificial intelligence becomes the new infrastructure of modern enterprises. With advances in model capabilities, autonomous agents, and domain-specific solutions, it is shifting from a supporting tool to a core operational backbone – powering everything from product innovation to real-time analytics and large-scale automation.

Explore how organizations across retail, healthcare, banking, insurance, IT, and manufacturing navigate this shift, transforming workflows, elevating decision-making, and achieving measurable gains across their core functions.

What you’ll find inside?

Modern AI stack

Explore the global AI ecosystem, from the intense competition among leading foundation models – GPT, Claude, Gemini, DeepSeek, and Copilot – to the emergence of agentic systems that autonomously execute multi-step tasks, orchestrate workflows, and make contextual decisions across enterprise environments.

Trends shaping AI adoption

Discover six trends reshaping how organizations adopt and deploy AI. From unprecedented investment levels and widespread democratization to emerging data challenges and responsible AI frameworks, understand the forces driving technological change and enterprise transformation

The future of work

Learn how artificial intelligence is triggering the largest workforce transformation in generations, displacing some roles while creating unprecedented opportunities in others. Build strategies to assess workforce readiness, implement effective training initiatives, attract AI-savvy talent, and prepare your organization for the future of work.

Predictions for the coming years

Read exclusive insights into how 13 global experts from various fields – spanning fintech, software development, data science, and industrial IoT – view AI’s future. Find out how evolving infrastructure, automation, and data practices are transforming workflows, enhancing creativity, and shaping the next era of intelligent, adaptive work.

The AI Outlook 2026: How Intelligent Technologies Reshape Enterprise Value

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AI across industries

Software development

AI has become an active collaborator across the entire software lifecycle, from system design to deployment. It combines natural language processing, pattern recognition, and predictive analytics to modernize software engineering workflows, delivering 30% higher bug-detection rates, 5-7× faster feature development, and 81% higher code-review quality.

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Banking

AI is transforming banking’s most manual processes into automated, accurate, and profitable workflows. The technology democratizes financial planning, cuts loan processing from over a week to just two days, and addresses the $3.3 billion annual cost of chargebacks by providing more precise transaction details.

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Retail

Artificial intelligence leverages natural language processing, computer vision, and advanced analytics to modernize retail operations and customer experiences. Its expanding footprint spans intelligent search, demand forecasting, dynamic pricing, and personalized engagement, unlocking operational efficiencies, including 30% higher order values, 25-35% less waste, and revenue growth for 80% of adopters.

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Insurance

9 out of 10 insurance firms are using AI or evaluating its implementation, with applications spanning rapid underwriting, intelligent claims processing, dynamic risk assessment, and proactive loss prevention. The technology is driving significant improvements in accuracy, processing speed, and customer retention while reducing fraudulent claims by 35%.

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Manufacturing

precision and prevention. AI systems continuously monitor machine health to enable predictive maintenance and use computer vision for quality control, instantly flagging microscopic defects, resulting in up to a 40% reduction in recalls.

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Healthcare & Pharma

AI is fundamentally shifting healthcare from reactive illness treatment to proactive prevention and personalized care – whether by reducing drug development timelines from years to months, analyzing population-level data to forecast disease outbreaks, or designing treatments tailored to individual patient