Martin LéonAGI Is Closer Than You Think: What UK Businesses Must Do Right Now
Artificial General Intelligence — the point at which AI can perform any intellectual task a human can — is no longer a distant theoretical concept. On 20 March 2026, Google DeepMind announced a new cognitive framework that breaks down general intelligence into 10 measurable faculties, including learning, metacognition, and social cognition, marking a pivotal step in the formal measurement of AGI progress. The same week, Dario Amodei, CEO of Anthropic, reiterated his prediction that AGI could arrive by the end of 2026.
For British businesses, this is not a story about science fiction. It is a story about competitive readiness, legal exposure, and workforce transformation — and the window to prepare is shorter than most executives realise.
What Is Actually Happening With AGI Right Now?
DeepMind's framework — backed by a £150,000 research prize and a Kaggle hackathon running from 17 March to 16 April 2026 — provides the first standardised metrics for measuring how close current AI systems are to human-level general capability. The five priority abilities being evaluated are: learning, metacognition, attention, executive functions, and social cognition.
Meanwhile, OpenAI's Sam Altman has set 2035 as his AGI timeline, while Elon Musk continues to predict near-term achievement. The divergence in timelines is itself meaningful: leading AI firms are competing not just on products, but on AGI milestones — and the UK's business community is largely watching from the sidelines.
The UK government's 2026 approach avoids a standalone AI bill, as confirmed in the UK government's AI regulation guidance. Instead, oversight is distributed across existing bodies — the ICO, Ofcom, and the FCA. This creates a regulatory patchwork that is both flexible and potentially confusing for businesses trying to plan for agentic AI systems.
Why UK Businesses Face Real Risks — Now
The AGI debate has immediate, practical implications for British companies, particularly in three areas.
Data protection and agentic AI. The ICO is developing a statutory code of practice on AI and automated decision-making, expected in late 2026. Businesses deploying AI agents — systems that can act autonomously across multiple tasks — face heightened scrutiny on data governance, consent frameworks, and the explainability of decisions. If your business uses AI to make decisions about customers, employees, or suppliers, you need to audit those processes now.
Employment law exposure. As AI systems take on more complex cognitive tasks, questions around workforce restructuring, redundancy obligations, and the duty to consult employees become live legal issues. UK employment law requires consultation processes that can take 45 days or more. Businesses that delay planning face serious legal risk if they attempt rapid AI-driven headcount changes without proper process.
Intellectual property and copyright. The Data Use and Access Act 2025 required the UK government to publish a report on copyright works in AI development by 18 March 2026. This directly affects businesses that use AI-generated content, code, or creative output — and the legal framework around ownership of AI-produced work remains genuinely unsettled in UK courts.
The IT Skills Gap Is Wider Than You Realise
One of the least-discussed consequences of rapid AI advancement is the compounding skills shortage in the UK IT sector. According to the UK government's AI Growth Zones initiative, companies in sectors from healthcare to advanced manufacturing are being offered regulatory sandboxes to test AGI applications — but finding the technical expertise to take advantage of them is increasingly difficult.
The gap is not just about machine learning engineers. It is about IT specialists who can evaluate AI vendor claims critically, integrate AI tools safely into existing infrastructure, and explain risks to non-technical leadership. These generalist-specialist professionals are in short supply, and businesses that rely entirely on vendor promises risk deploying systems they do not understand.
This is precisely where external IT consultants and advisers add disproportionate value. An independent IT specialist can assess whether an AI tool genuinely suits your workflows, identify security vulnerabilities before deployment, and help your team build the internal capability to manage AI systems without vendor dependency.
Three Questions Every Business Should Answer Before 2027
If you run or manage a UK business that uses, plans to use, or might be disrupted by AI systems, these three questions are not optional:
1. Do you have an AI policy? Not a vague commitment to "responsible AI," but a documented policy that covers how AI systems are selected, tested, deployed, and monitored — and who is accountable when they fail.
2. Have you reviewed your contracts? AI-generated outputs, vendor liability clauses, and data processing agreements all look different in an AGI-adjacent world. Many standard IT contracts were written before current AI capabilities existed and do not adequately protect your business.
3. Are your employees informed? UK employment tribunals have already seen early cases involving AI in recruitment and performance management. Transparent communication with employees about how AI is being used in your organisation is not just good practice — it is increasingly a legal requirement under the evolving ICO guidance.
Note: This article provides general information about technology developments and is not legal or professional advice. Consult a qualified solicitor or IT professional for guidance specific to your business.
For businesses that want expert guidance navigating the AI transformation, Expert Zoom connects you with vetted IT specialists — professionals who can assess your exposure, strengthen your processes, and help you take advantage of the UK's AI Growth Zones initiative before your competitors do.
