Thursday, 5 February 2026

AI - The Fourth Industrial Revolution

Talan Predicts Report 2026
Glowing neural network in the shape of a human brain. Image generated with AI
Report Highlights
Meet the Authors

Artificial Intelligence (AI) is on a collision course with humanity. Academics are warning of a need to exercise control. Silicon Valley leaders are talking of the potential bursting of the AI bubble. It’s a complex and fast-moving picture. 

No longer experimental, AI to many is viewed as a strategic force, reshaping industries and redefining competitive advantage. As adoption accelerates, the next wave of AI innovation will be measured not only by technical breakthroughs, but also by its ability to deliver impact across various sectors and industries. 

The applications are vast. Intelligent systems are fast becoming the backbone of the energy transition, with smart grids predicting demand. In the financial world, AI is providing critical solutions for fraud detection and credit scoring. Supply chains can now be optimised with live stock levels and demand trend forecasts. As geopolitical tensions rise, AI for cybersecurity has become intrinsic in monitoring threat levels and predicting attacks. 

Data and its maturity remain critical to the success of these and other applications. High quality, well governed and diverse data sets are the foundation of robust models that can deliver business and customer advantages and ultimately build trust in AI. 

This transformation isn’t purely technical; it’s ethical. Data governance, transparency, and fairness will be critical as regulation tightens. There is the potential for an increase in enforcement action, with the scene set in Europe and the US for more data protection ‘class action’ lawsuits, Cyber resilience is now a board-level priority. With the Cyber Resilience Act and quantum computing on the horizon, securing AI models and data pipelines will be as vital as deploying them. Quantum computing promises to bring tremendous advantages in solving complex – and often insoluble – challenges in medicine and other areas, but it also brings risk in its potential to break current encryption. Post-quantum standards are already establishing the tools to withstand this fresh threat. Now enterprises must ready themselves for the move to quantum safety. 

Technology alone won’t deliver organisational success. Humans will. Embedding AI into workflows demands agile change management, cultural readiness, and strong leadership. Organisations that thrive will invest in secure, ethical, and sustainable AI strategies that align innovation with purpose and performance. 

Here at Talan, we believe that people will play a critical role in successful digital transformation. Positive Innovation ensures that what we deliver is a force for good. For mankind and machines. 

This year’s Talan Predicts report offers insights into AI’s evolving role, practical lessons from the front line, and a forward-look at what’s next: essential guidance for leaders navigating the most transformative technology of our time.

Our Key Sector Expertise

AI Global Network: A Blue Vision of Future Technology - Image generated with AI

AI in 2026: Deployment, control & responsibility

Expect a surge in agentic AI, autonomous systems that act on behalf of users, alongside breakthroughs in predictive analytics and generative models.

- Tim LEERS & Tim VAN ERUM

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Recognise AI's environmental challenges and opportunities

AI will become an ESG enabler, improving climate risk modelling and sustainability reporting while driving “green AI” initiatives to reduce energy consumption in data centres. Ethical AI will be central to meeting regulatory and societal expectations. 
 

- Rob HONEYMAN & Waco YOKOYAMA-LIZÉ

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Future energy enable by responsible people-centric AI

AI will optimise smart grids, forecast demand, and accelerate renewable integration, making utilities more agile in a volatile market.
 

- Gavin BERESFORD

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Anchor innovation in cyber resilience to reduce risk

AI-powered threat detection and zero-trust architectures will protect critical infrastructure. Securing AI systems themselves will be essential as quantum computing introduces new risks and opportunities.
 

- Ian HIRST

Cloudscape with ethereal lock symbol, bathed in vibrant neon hues

Regulatory changes bring fresh privacy concerns

The EU’s AI Act may face delays to key rules on transparency and high-risk systems after U.S. political pressure. While grace periods ease compliance, they risk slowing progress on privacy and rights, making early investment in data governance essential as AI regulation becomes a global political issue. 
 

- Camilla WINLO

Visualised data analysis a graph with lines and code background on a screen used to analyse data for decision-making - image generated with AI

Data maturity matters in the race for ROI

High-quality, well-governed data will be the differentiator. Synthetic data will address privacy and bias, while robust governance frameworks ensure compliance and trust. 

- Seif BEN MUSTAPHA

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 Big data technology Data science analysing artificial intelligence

Be prepared to invest in harnessing quality data

The AI leaders of 2026 aren’t those with the best models, but the best data. Expect major investment in quality, governance, and synthetic datasets 

- Daniel HARDING & Mike PARKER

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Understand the human dimension in managing the move to AI

Building trust in AI systems is critical. Transparent communication, ethical practices, and clear governance will help overcome resistance and foster confidence. At the same time, reskilling and upskilling programs will prepare employees for AI-enabled workflows, ensuring that human talent remains at the heart of transformation. 

- James HOWARTH

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The future of strategy & operations consulting has arrived

Disruption demands a new consulting model—one that fuses strategy, operations, and AI from day one. TenSquare delivers elite insight and robust execution, using data science to accelerate decisions, uncover opportunities, and drive transformational impact across global, high‑stakes industries. 

- Axel ESQUÉ

Download our Report

Meet our Authors

TALAN
Tim Leers - Global Generative & Agentic AI Lead​ - dataroots, a Talan company

Tim LEERS

Global Generative & Agentic AI Lead​

TALAN
Tim Van Erum - Agentic AI Transformation Lead @Dataroots

Tim Van Erum

Agentic AI Transformation Lead @Datarootsd

TALAN
Waco YOKOYAMA-LIZÉ

Waco YOKOYAMA-LIZÉ

Sustainability Lead (Talan France)

TALAN
Rob Honeyman

Rob HONEYMAN

Research Director, Low Carbon

TALAN
Ian Hirst

Ian HIRST

Cyber Threat Services Partner

TALAN
Gavin Beresford

Gavin BERESFORD

Flexible Markets Programme Director

TALAN
Seif Ben Mustapha - Data Scientist and AI Consultant

Seif BEN MUSTAPHA

Data Scientist and AI Consultant

TALAN
Image of Camilla WINLO

Camilla WINLO

Global Head of Data Protection

TALAN
Daniel Harding

Daniel HARDING

Head of Data Intelligence Cloud Transformation

TALAN
Mike Parker

Mike PARKER

Head of Practices (Talan Data x AI)

TALAN
James Howarth

James HOWARTH

Senior Manager (9FT, a Talan Company)

TALAN
photo Axel Esqué

Axel ESQUÉ

CEO TenSquare Talan