Business · 3 February 2026
AI in Business
For business leaders and professionals
At askKira, we provide secure, personalised enterprise AI for UK businesses. Our platform prevents data leaks, protects IP and client data, and gives your teams AI-powered tools at a fraction of the cost of other enterprise solutions.
This week's roundup brings you the latest AI developments that matter for UK organisations.
UK Market Impact
UK job market suffers unique AI impact
A new Morgan Stanley study reveals that British companies are cutting jobs faster than they are creating them due to AI adoption. While UK businesses reported an 11.5% productivity increase, the net job loss rate is 8% higher than in the US, Japan or Germany. The research suggests the UK is uniquely vulnerable due to higher costs and taxes weighing on the labour market.
Why it matters: UK leaders must balance efficiency gains with workforce stability to avoid a skills vacuum in junior roles that feed future leadership pipelines.
Read the source on The Guardian →Government launches major AI upskilling drive
The UK government has announced a massive initiative to upskill 10 million workers by 2030 through free, practical AI courses. Backed by £27 million in funding, the programme offers training benchmarked by Skills England to help employees master everyday tools for drafting and administration. Completing the training earns a government-backed 'AI foundations badge'.
Why it matters: This provides a standardised baseline for AI literacy that employers can use to verify skills during recruitment and performance reviews.
Read the source on gov.uk →Strategy & Productivity
Study reveals the 'jagged edge' of AI utility
A new study involving the AI Safety Institute and Educate Ventures tested 500 workers to measure the actual impact of AI on different task types. While AI boosted productivity by 61% and quality by 25% for structured analytical tasks, it offered no measurable improvement for open-ended strategic thinking. The findings highlight that access to tools does not automatically equate to capability in complex scenarios.
Why it matters: Leaders should stop deploying AI as a blanket solution and instead target it specifically at structured, process-heavy workflows where ROI is proven.
Read the source on LinkedIn →Shift focus from outsourcing to scaffolding
Emerging leadership trends suggest a move away from asking AI to 'do the thinking' towards using it for 'scaffolding'. Effective professionals are using tools to pull decision points from data or draft discussion prompts while retaining human judgment for the final analysis. This approach prevents the 'hollow' output that comes from over-reliance on automation for cognitive tasks.
Why it matters: Redefining AI as a drafting partner rather than a replacement thinker ensures your team maintains critical judgment skills and output quality.
Read the source on LinkedIn →Governance & Compliance
Treat governance as active strategy
With global regulations like the EU AI Act setting new standards, experts warn that AI governance cannot be a one-off compliance exercise. Effective oversight now requires continuous monitoring of data quality, bias mitigation and model transparency. Companies without these active safeguards face increasing risks of legal liability and brand damage from 'rogue' algorithmic decisions.
Why it matters: Proactive governance is no longer just red tape but a critical insurance policy against the reputational risks of biased or hallucinatory AI outputs.
Read the source on LinkedIn →