CNBC · 12 Oct, 06:58 · Artificial Intelligence briefing

Real productivity gains from AI are yet to come, says Franklin Templeton

Franklin Templeton asserts that tangible productivity improvements from artificial intelligence remain largely unrealised within the corporate sector.

25–40%salary premium for professionals with applied AI skills
11xgrowth in AI job adverts since 2019
66%of leaders won't hire without AI literacy
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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Franklin Templeton asserts that tangible productivity improvements from artificial intelligence remain largely unrealised within the corporate sector. Despite widespread adoption, significant efficiency gains have yet to materialise at scale. This perspective challenges the prevailing narrative of immediate technological transformation. Professionals should view current AI integration as an early-stage experiment rather than a completed revolution. The firm suggests that organisations are still navigating implementation complexities. Consequently, expectations for rapid workflow optimisation may be premature. This report encourages a measured approach to technology adoption. It highlights the gap between theoretical potential and practical application. Readers should anticipate a longer timeline for meaningful operational changes.

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)
20191x20201.2x20211.7x20222.4x20233.5x20245x20257.2x20269.8x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This insight suggests you should prioritise foundational digital literacy over speculative tool mastery. As organisations struggle to realise immediate gains, professionals who can bridge the gap between technology and practical workflow design will become indispensable. Focus on understanding how AI integrates into existing processes rather than chasing every new model. Develop skills in process optimisation and change management to help your team navigate this transitional phase. You should also cultivate critical thinking to assess when AI adds genuine value versus when it creates complexity. Leaders must manage expectations carefully, ensuring stakeholders understand that productivity shifts will be gradual. Invest in learning how to evaluate AI outputs for accuracy and relevance. This pragmatic approach positions you as a stabilising force during uncertain technological shifts, making you valuable to employers seeking sustainable, rather than superficial, innovation.

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 12 Oct, 06:58. Read the original coverage →

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