The report identifies two key stages of generative AI adoption. The first wave, which is already underway, exposes 11 percent of tasks performed by UK workers. Routine cognitive tasks like database management and organisational tasks like scheduling are most at risk. 

However, in a potential second wave, AI could handle a staggering 59 percent of tasks—impacting higher-earning jobs and non-routine cognitive work like creating databases.

Bhargav Srinivasa Desikan, Senior Research Fellow at IPPR, said: “We could see jobs such as copywriters, graphic designers, and personal assistants roles being heavily affected by AI. The question is how we can steer technological change in a way that allows for novel job opportunities, increased productivity, and economic benefits for all.”

“We are at a sliding doors moment, and policy makers urgently need to develop a strategy to make sure our labour market adapts to the 21st century, without leaving millions behind. It is crucial that all workers benefit from these technological advancements, and not just the big tech corporations.”

IPPR modelled three scenarios for the second wave’s impact:

• Worst case: 7.9 million jobs lost with no GDP gains
• Central case: 4.4 million jobs lost but 6.3 percent GDP growth (£144bn/year) 
• Best case: No jobs lost and 13 percent GDP boost (£306bn/year) from augmenting at-risk jobs

IPPR warns the worst-case displacement is possible without government intervention, urging a “job-centric” AI strategy with fiscal incentives, regulation ensuring human oversight, and support for green jobs less exposed to automation.

The analysis underscores the disproportionate impact on certain demographics, with women and young people bearing the brunt of job displacement. Entry-level positions, predominantly occupied by these groups, face the gravest jeopardy as AI encroaches on roles such as secretarial and customer service positions.

Carsten Jung, Senior Economist at IPPR, said: “History shows that technological transition can be a boon if well managed, or can end in disruption if left to unfold without controls. Indeed, some occupations could be hard hit by generative AI, starting with back office jobs.

“But technology isn’t destiny and a jobs apocalypse is not inevitable – government, employers, and unions have the opportunity to make crucial design decisions now that ensure we manage this new technology well. If they don’t act soon, it may be too late.”

A full copy of the report can be found here (PDF)

(Photo by Cullan Smith)

See also: Stanhope raises £2.3m for AI that teaches machines to ‘make human-like decisions’

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French Minister for Higher Education and Research, Sylvie Retailleau, is scheduled to meet with UK Secretary of State Michelle Donelan in London today for discussions marking a pivotal moment in bilateral scientific cooperation.

Building upon a rich history of collaboration that has yielded groundbreaking innovations such as the Concorde and the Channel Tunnel, the ministers will endorse a joint declaration aimed at deepening research ties between the two nations. This includes a commitment of £800,000 in new funding towards joint research efforts, particularly within the framework of Horizon Europe.

A landmark partnership between the UK’s AI Safety Institute and France’s Inria will also be unveiled, signifying a shared commitment to the responsible development of AI technology. This collaboration is timely, given France’s upcoming hosting of the AI Safety Summit later this year—which aims to build upon previous agreements and discussions on frontier AI testing achieved during the UK edition last year.

Furthermore, the establishment of the French-British joint committee on Science, Technology, and Innovation represents an opportunity to foster cooperation across a range of fields, including low-carbon hydrogen, space observation, AI, and research security.

UK Secretary of State Michelle Donelan said:

“The links between the UK and France’s brightest minds are deep and longstanding, from breakthroughs in aerospace to tackling climate change. It is only right that we support our innovators, to unleash the power of their ideas to create jobs and grow businesses in concert with our closest neighbour on the continent.

Research is fundamentally collaborative, and alongside our bespoke deal on Horizon Europe, this deepening partnership with France – along with our joint work on AI safety – is another key step in realising the UK’s science superpower ambitions.”

The collaboration between the UK and France underscores their shared commitment to advancing scientific research and innovation, with a focus on emerging technologies such as AI and quantum.

Sylvie Retailleau, French Minister of Higher Education and Research, commented:

“This joint committee is a perfect illustration of the international component of research – from identifying key priorities such as hydrogen, AI, space and research security – to enabling collaborative work and exchange of ideas and good practices through funding.

Doing so with a trusted partner as the UK – who just associated to Horizon Europe – is a great opportunity to strengthen France’s science capabilities abroad, and participate in Europe’s strategic autonomy openness.”

As the UK continues to deepen its engagement with global partners in the field of science and technology, these bilateral agreements serve as a testament to its ambition to lead the way in scientific discovery and innovation on the world stage.

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See also: UK Home Secretary sounds alarm over deepfakes ahead of elections

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The latest edition of the report delves into the impact of artificial intelligence (AI) on identity management, security challenges, economic uncertainties, and the growing reliance on managed service providers (MSPs) in IT operations. JumpCloud commissioned this biannual survey of SME IT admins to gain unique insights into the day-to-day experiences of IT professionals who power and secure operations without enterprise-level budgets and staff.

The most recent survey results, polled from admins in the US, UK, and India, indicates how quickly AI has impacted identity management and highlights that IT professionals have both big hopes and big fears in their response to it. With a strong majority of respondents both planning or actively implementing within the next year and advocating for AI investment, IT leaders clearly see potential benefits from deploying AI in their workplaces. But IT admins report notable concerns around their organisations’ current ability to secure against related threats—and personal concerns about AI’s impact on their career.

“While AI is the buzzword that grabs headlines, it’s security that remains a paramount concern for IT teams given the increasing sophistication of external threats and rising regulatory pressures,” said Rajat Bhargava, CEO, JumpCloud. “And it’s only getting worse. We found that 56% of admins agree that they’re more concerned about their organisation’s security posture now than they were six months ago. To reduce this complexity and anxiety, organisations should look toward solutions that offer a unified, open identity and IT management approach. This can enhance security, mitigate operational disruptions, and alleviate admin burnout.”

Key findings include:

AI adoption: Optimism and concerns

A vast majority of admins see AI as a net positive for their organisation and think their organisation is approaching AI at the right pace—though this optimism is tempered by significant concerns about AI’s potential impact on security and individual careers. 

Topline AI findings include:

• Organisations are actively planning for AI: Just 13% of organisations do not currently have any plans to implement AI initiatives and 76% agree their organisation should be investing in AI.
• Admins optimistic about AI: 79% report that AI will be a net positive, versus just 6% who see it as a net negative. Most admins agree their organisations are approaching AI adoption at exactly the right speed (55%). Roughly equal amounts think they are moving too quickly (22%) or too slow (19%).
• IT teams are wary about AI’s potential for organisational security and career: 62% agree that AI is outpacing their organisation’s ability to protect against threats overall and nearly half (45%) worry about AI’s impact on their job. 

Uncertainty for IT

The start of 2024 finds SMEs continuing to wrestle with economic uncertainties and IT teams unsure about what that means for their organisations and their operations.

Topline IT management findings include: 

• Concerns about layoffs persist: 57% of organisations have experienced layoffs over the last year. Just over a quarter (27%) haven’t experienced layoffs and don’t expect any over the next six months.
• Admins worried about the impact of budget cuts on security: 72% agree that any cuts to their security budget will increase organizational risk, and 56% are more concerned about their organisations’ security posture than they were six months ago.

• Licensing costs increase while compliance mandates expand: 88% report vendors have increased prices over the last six months, and 76% report increased compliance and regulations requirements in their region. 
• Device environments require IT flexibility, with Windows use down and macOS and Linux use up year-over-year: The average device type breakdown in SMEs is Windows at 60% (down from 64% in April 2023), macOS at 22% (up from 20% in April 2023), and Linux at 22% (up from 16% in April 2023). 
• IT admins want centralized IT: 75% of IT professionals would prefer a single tool to do their job over a number of point solutions. In practice, admins most commonly need five to 10 applications to manage worker lifecycle (37%), though nearly one-quarter (22%) need 11 or more, and nearly 1 in 10 (9%) require more than 15 applications to manage worker lifecycle.

Security challenges persist as admins adjust their response 

IT teams continue to report that security concerns continue to dominate among the various challenges and responsibilities they manage. With the rise of AI and the evolving sophistication of cybersecurity threats, IT admins are adapting their responses and deploying additional layers of protection. 

Topline security findings include:

• IT admins’ biggest challenge is security: 56% report security is the biggest IT challenge, followed by new services and application rollouts (45%), increased work burden (44%), followed by the cost of remote work solutions (42%).
• Biometrics adoption up, though password-based systems are stubborn: While 83% of organisations use password-based authentication for some IT resources, 83% also require multi-factor authentication (MFA) and two-thirds require biometrics (66%)—even though 67% of IT professionals agree that adding additional security measures means a more cumbersome experience. The average employee has three to five passwords to log into their IT resources, though 15% of employees average 10 passwords or more.
• The biggest security threats remain the same: The three biggest security concerns now are the same ones from April 2023. IT admins reported network attacks were their biggest challenge (40%), followed by software vulnerability exploits (34%) and ransomware (29%).

MSPs play major role in IT operations

MSPs are increasingly crucial to SME IT operations as increasing numbers of SMEs are turning to them for IT management. 

Topline MSP findings include:

• MSPs taking over IT for SMEs: While 76% of SMEs rely on an MSP for some features, 42% of organisations use an MSP to completely manage their IT environment, a 56% increase from April 2023.
• Organisations relying on MSPs for variety of functions: System security is the most common area for why SMEs use MSPs (57%) followed by cloud storage (52%), system monitoring (51%), system management (47%), managed backup (40%), hardware procurement (34%), business continuity/disaster recovery (32%), help desk (35%), and change management (27%).
• MSPs are seen to offer a broad range of benefits: The top reasons SMEs report using an MSP are that they are up to date on the latest technologies (65%), they can provide a better user experience (60%), and they are cost-effective (57%).

Survey Methodology: 

JumpCloud surveyed 1,213 SME IT decision-makers in the UK, US, and India, including managers, directors, vice presidents, and executives. Each survey respondent represented an organisation with 2,500 or fewer employees across a variety of industries. The online survey was conducted by Propeller Insights, from November 14, 2023 to November 27, 2023.

The findings from the JumpCloud Q1 2024 SME IT Trends Report can be found in “State of IT 2024: The Rise of AI, Economic Uncertainty, and Evolving Security Threats,” here.

(Editor’s note: This article is sponsored by JumpCloud)

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The researchers predict the investment growth will be necessary as telcos expand 5G networks globally and develop future 6G networks. The AI software will play a vital role in optimising network performance and security; the two most critical areas expected to account for over 50 percent of operator spending on AI by 2028.

As enterprises make increasing use of cellular connectivity for smart factories, self-driving vehicles, and other bandwidth-intensive applications, the report argues AI orchestration will be essential for telcos to maximise efficiency, reduce costs, and provide the best quality of service.

Automating functions like real-time network analysis and rapid adjustments to changing demands can minimise expenses tied to network operations and provisioning.

“As operators compete on the quality of their networks, AI will be essential to maximising the value of using a cellular network for connectivity,” said Frederick Savage, author of the report.

“High-spending users will gravitate to those networks that can provide the best service conditions.”

Telcos that fail to incorporate AI may ultimately struggle to keep pace with customer demands for performance and security.

A full copy of the report can be found here (paywall)

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See also: The UK is outpacing the US for AI hiring

Unified Communications is a two-day event taking place in California, London, and Amsterdam that delves into the future of workplace collaboration in a digital world. The comprehensive event is co-located with AI & Big Data Expo, Digital Transformation Week, IoT Tech Expo, Edge Computing Expo, Intelligent Automation, and Cyber Security & Cloud Expo.

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Their new ‘SELF-DISCOVER’ prompting framework – published this week on arXiV and Hugging Face – represents a significant leap beyond existing techniques, potentially revolutionising the performance of leading models such as OpenAI’s GPT-4 and Google’s PaLM 2.

The framework promises substantial enhancements in tackling challenging reasoning tasks. It demonstrates remarkable improvements, boasting up to a 32% performance increase compared to traditional methods like Chain of Thought (CoT). This novel approach revolves around LLMs autonomously uncovering task-intrinsic reasoning structures to navigate complex problems.

At its core, the framework empowers LLMs to self-discover and utilise various atomic reasoning modules – such as critical thinking and step-by-step analysis – to construct explicit reasoning structures.

By mimicking human problem-solving strategies, the framework operates in two stages:

• Stage one involves composing a coherent reasoning structure intrinsic to the task, leveraging a set of atomic reasoning modules and task examples.
• During decoding, LLMs then follow this self-discovered structure to arrive at the final solution.

In extensive testing across various reasoning tasks – including Big-Bench Hard, Thinking for Doing, and Math – the self-discover approach consistently outperformed traditional methods. Notably, it achieved an accuracy of 81%, 85%, and 73% across the three tasks with GPT-4, surpassing chain-of-thought and plan-and-solve techniques.

However, the implications of this research extend far beyond mere performance gains.

By equipping LLMs with enhanced reasoning capabilities, the framework paves the way for tackling more challenging problems and brings AI closer to achieving general intelligence. Transferability studies conducted by the researchers further highlight the universal applicability of the composed reasoning structures, aligning with human reasoning patterns.

As the landscape evolves, breakthroughs like the SELF-DISCOVER prompting framework represent crucial milestones in advancing the capabilities of language models and offering a glimpse into the future of AI.

(Photo by Victor on Unsplash)

See also: The UK is outpacing the US for AI hiring

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Analysing job listings data, the report by AIPRM found that – between 2017 and 2022 – the average yearly growth rate for AI hiring was 1.2% in the US. This compares to 1.22% in the UK over the same period. 

The UK’s strong performance means it outpaced other major economies like India (1.19% growth), Canada (1.26%), and Brazil (1.21%).

“Despite consistent expansion of the AI job market in America, the pace of growth lagged slightly behind other countries like Britain,” said John Smith, lead author of the report. 

As well as analysing hiring trends, the report also identified the highest paying and most in-demand AI jobs in the US. The top position goes to Director of Data Science, with an average salary of £200,263. 

AI Architects take second place, earning approximately £197,431 per year on average. The technical skills required for this role include architecture, AWS, business intelligence, and DataOps.

Various other roles in data science and machine learning all boast median average salaries exceeding £150,000.

California was also highlighted as a major AI hub, accounting for over a quarter (27%) of listings across the whole US. This is more than double the next highest state, New York, at 13%.

Discussing what’s driving the promising growth forecasts, Smith said: “Rapid advances in AI technology have unlocked exciting new capabilities for businesses across many sectors. As companies look to capitalise on areas like computer vision and natural language processing, we can expect demand for skilled AI workers to keep accelerating.”

However, he also warned of potential headwinds due to growing debate around AI regulation. 

“Policymakers still need to strike the right balance between innovation and ethics. Getting this right will help the AI job market continue thriving.” concludes Smith.

The full statistics can be found here.

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See also: Bank of England Governor: AI won’t lead to mass job losses

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The International Scientific Report on Advanced AI Safety aims to bring together the best scientific research on AI safety to inform policymakers and future discussions on the safe development of AI technology. The report builds on the legacy of last November’s UK AI Safety Summit, where countries signed the Bletchley Declaration agreeing to collaborate on AI safety issues.

An impressive Expert Advisory Panel featuring 32 prominent international figures – including chief technology officers, UN envoys, and national chief scientific advisers – has been unveiled. The panel includes experts like Dr Hiroaki Kitano, CTO of Sony in Japan, Amandeep Gill, UN Envoy on Technology, and the UK’s Dame Angela McLean, Chief Scientific Adviser.

This crack team of global talent will play a crucial role advising on the report’s development and content to ensure it comprehensively and objectively assesses the capabilities and risks of advanced AI. Their regular input throughout the drafting process will help build broad consensus on vital global AI safety research.

Initial findings from the report are due to be published ahead of South Korea’s AI Safety Summit this spring. A second more complete publication will then coincide with France’s summit later this year, helping inform discussions at both events.

The international report will follow a paper published by the UK last year which included declassified information from intelligence services and highlighted the risks associated with frontier AI.

Michelle Donelan, UK Secretary of State for Science, Innovation and Technology, said: “The International Scientific Report on Advanced AI Safety will be a landmark publication, bringing the best scientific research on the risks and capabilities of frontier AI development under one roof.

“The report is one part of the enduring legacy of November’s AI Safety Summit, and I am delighted that countries who agreed the Bletchley Declaration will join us in its development.”

Professor Yoshua Bengio, pioneer AI researcher from Quebec’s Mila Institute, said the publication “will be an important tool in helping to inform the discussions at AI Safety Summits being held by the Republic of Korea and France later this year.”

The principles guiding the report’s development – inspired by the IPCC climate change assessments – are comprehensiveness, objectivity, transparency, and scientific assessment. This framework aims to ensure a thorough and balanced evaluation of AI’s risks.

A list of all participating countries and their nominated representatives can be found here.

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See also: UK and Canada sign AI compute agreement

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The new Memorandum of Understanding on compute was signed in Ottawa by UK Technology Secretary Michelle Donelan and Canadian Minister for Innovation, Science and Industry François-Phillippe Champagne. It cements the two countries’ partnership on AI by committing them to explore ways to give researchers and companies affordable access to the high-powered computing capacity required for cutting-edge AI systems.

Compute power and data are essential ingredients for developing modern AI models and applications. As AI rapidly advances, access to state-of-the-art computing infrastructure is increasingly vital for conducting groundbreaking research and staying globally competitive. The UK-Canada agreement recognises this and aims to foster joint innovation by improving compute access.

Specifically, under the new agreement, the UK and Canada will look at opportunities for collaborating on providing compute power for shared research priorities like biomedicine. They also intend to work together – and with like-minded countries – on sustainable models for sharing compute capabilities. 

The compute agreement builds on a wider UK-Canada science and technology partnership also renewed during Secretary Donelan’s visit. This partnership identifies quantum computing, AI, semiconductors and clean energy as key areas for increased collaboration between British and Canadian researchers. It also focuses on coordinating scientific diplomacy efforts relating to new technologies.

Academics and researchers from both countries have been actively involved in collaborative programs, with £350 million awarded by UK Research and Innovation between 2020 and 2023. This includes pioneering initiatives like the first industry-led partnership on quantum technologies and a project on arctic ecosystems in collaboration with Inuit Tapiriit Kanatami.

The latest accords reinforce the two countries’ “unique partnership” across science and innovation, said Secretary Donelan. She emphasised their commitment to harnessing emerging technologies as an “active force for good.”

Minister Champagne echoed this, saying the agreements will have “positive impacts across all fields of research and innovation.” He highlighted opportunities to link leading AI researchers in both countries.

The renewal of UK-Canada science ties comes as Secretary Donelan meets with AI experts and companies during a three-day visit. She held discussions on the future of AI with Yoshua Bengio, a pioneer in the field and recipient of the Turing Award, computing’s highest honour.

With a combined $5 trillion economy, the UK and Canada have committed to collaborating closely on technological innovation for the benefit of both countries and the wider world. The compute accord marks an important step toward realising that vision in the critical field of AI.

(Photo by Scott Graham on Unsplash)

See also: Financial services introducing AI but hindered by data issues

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The researchers surveyed executives at top UK insurers and lenders about their AI strategies and found that 44 percent have deployed AI across eight or more business functions—especially in marketing, business development, and regulatory compliance. 

Nearly 9 in 10 financial services leaders reported investing upwards of £7.9 million in AI over their last fiscal year. Over a third invested £39 million or more, exemplifying the industry’s willingness to commit major capital to AI implementation.

Despite the positive strides in AI integration, the study suggests that organisations might be overlooking the importance of prioritising their data operations. Nearly half (47%) admitted their organisations are only “minimally data driven,” raising concerns about the effectiveness of AI implementation without a solid data foundation.

“It’s clear industry leaders recognise AI’s potential, but external pressures to implement quickly can lead to unchecked investment,” commented Kshitij Jain, EMEA Practice Head at EXL. “The risk is that ensuring operations are truly data driven gets deprioritised, which can prove very costly.”

The research also identified a group of “Strivers,” representing 45 percent of respondents, who are implementing AI more narrowly across around four functions. Their focused approach has allowed them to efficiently leverage AI for cost-cutting, outperforming early AI adopters by 23 percentage points.

Additionally, over half of respondents are investing more in AI specifically due to advancements in generative AI. However, 70 percent voiced deep concerns about risks related to generative AI like potential brand damage and inaccurate data outcomes.

“The key with any AI rollout is a measured, strategic approach—getting the data architecture right, testing solutions, and training employees,” Jain concluded. “For enterprise adoption to succeed, boards must buy into AI’s capabilities and ensure investment is being used effectively.”  

A full copy of the research can be found here (registration required)

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See also: NCSC: AI to significantly boost cyber threats over next two years

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In a new analysis, IMF economists examined AI’s potential impact on the global labour market. While many studies foresee jobs being automated by AI, the technology will often complement human work instead. The IMF analysis weighs up both scenarios.  

The findings are striking: almost 40 percent of jobs globally are susceptible to automation or augmentation by AI.

Historically, new technologies have tended to affect routine tasks—but AI can also impact high-skilled roles. As a result, advanced economies face greater risks from AI but also stand to gain more of its benefits versus emerging markets.

Per the IMF’s research, about 60 percent of jobs in advanced economies may be impacted by AI. Around half of those jobs could benefit from AI integration, enhancing productivity. For the remainder, AI may execute key human tasks, lowering labour demand, wages, and hiring. In some cases, human jobs could disappear entirely.

In emerging and developing economies, IMF economists predict AI exposure of 40 percent and 26 percent respectively. This suggests fewer immediate AI disruptions than advanced economies. However, many emerging markets lack the infrastructure and skills to harness AI’s benefits. Over time, this could worsen inequality between countries. 

The IMF warns AI may also drive inequality within countries. Workers able to exploit AI may become more productive and boost wages, while those who cannot fall behind.

Research shows that AI can accelerate the productivity of less experienced staff. Younger workers could therefore benefit more from AI opportunities whereas older workers may struggle adapting.  

Advanced economies are better prepared for AI adoption but must still prioritise innovation, integration, and regulation to cultivate its safe and responsible use. For emerging markets, the priority is developing digital infrastructure and skills.

To assist countries in crafting effective policies, the IMF has introduced an AI Preparedness Index—evaluating readiness in areas such as digital infrastructure, human capital, innovation, and regulation. Wealthier economies – including Singapore, the US, and Denmark – have shown higher preparedness for AI adoption.

The AI era has arrived, and proactive measures are crucial to ensuring its benefits are shared prosperity for all.

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See also: McAfee unveils AI-powered deepfake audio detection

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