CNBC · 22 Sep, 20:00 · Artificial Intelligence briefing

Public anxiety around AI 'peaking', says Alger's Ankur Crawford

Alger executive Ankur Crawford asserts that public anxiety regarding artificial intelligence has reached its peak, according to a recent CNBC report.

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The briefing

The story
in brief.

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Alger executive Ankur Crawford asserts that public anxiety regarding artificial intelligence has reached its peak, according to a recent CNBC report. This observation suggests a pivotal shift in corporate sentiment, moving from widespread apprehension toward practical integration and strategic adoption. For professionals, this indicates that the initial shock of AI disruption is subsiding, replaced by a focus on measurable outcomes and operational efficiency. The narrative highlights a transition phase where organisations are no longer merely debating the implications of AI but are actively implementing solutions. This development signals a maturing market landscape, where understanding AI’s tangible business value becomes more critical than fearing its potential risks.

Employer demand for Medical Physics skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.4x20212x20222.9x20234.2x20246x20258.6x202611.5x
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This shift signals that the era of cautious观望 is over; you must now demonstrate practical AI literacy. Roles requiring strategic implementation and ethical oversight will see increased demand, while purely theoretical knowledge loses value. You should prioritise skills in AI Strategy and Data Science to bridge the gap between technology and business objectives. Stop waiting for clarity; start experimenting with AI tools in your current workflow to build tangible evidence of efficiency gains. Leaders must focus on change management, addressing residual team anxieties through transparency and upskilling initiatives. A smart professional immediately audits their skill set, identifying where AI can augment their daily tasks. You need to move beyond passive consumption of news to active participation in pilot projects. Position yourself as an enabler who understands both the technical capabilities and the human impact of AI integration within your specific industry context.

For this story, the fields that convert it into pay are Medical Physics, Python Data Visualisation Libraries Mastery, API Development and Staff Recruitment And Retention — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Medical Physics+38%Python Data Visualisat…+37%API Development+25%Staff Recruitment And…+26%

This briefing is based on reporting by CNBC on 22 Sep, 20:00. Read the original coverage →

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