Future of work Archives | Page 209 of 236 | Digital Watch Observatory

UK teachers embrace AI for future education

Teachers in Stoke-on-Trent gathered for a full-day event to discuss the role of AI in education. Organised by the Good Future Foundation, the session saw more than 40 educators, including Stoke-on-Trent South MP Allison Gardner, explore how AI can enhance teaching and learning. Gardner emphasised the government’s belief that AI represents a ‘generational opportunity’ for education in the UK.

The event highlighted both the promise and the challenges of integrating AI into UK schools. Attendees shared ideas on using AI to improve communication, particularly with families who speak English as an additional language, and to streamline access to school resources through automated chatbots. While the potential benefits are clear, many teachers expressed concerns about the risks associated with new technology.

Daniel Emmerson, executive director of the Good Future Foundation, stressed the importance of supporting educators in understanding and implementing AI. He explained that AI can help prepare students for a future dominated by this technology. Meanwhile, schools like Belgrave St Bartholomew’s Academy are already leading the way in using AI to improve lessons and prepare students for the opportunities AI will bring.

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Google expands voice AI capabilities with Chirp 3

Google has announced the addition of its HD voice model, Chirp 3, to its Vertex AI platform, marking a significant step in its push into voice AI. Starting next week, developers will be able to use the platform to build applications such as voice assistants, audiobooks, and video voice-overs with eight new voices available in 31 languages.

The launch comes at a time when other companies, including startups like Sesame, are also advancing in the field of realistic-sounding AI voices. Despite this growing competition, Google remains cautious about potential misuse, with CEO Thomas Kurian noting that the company is working closely with its safety team to establish proper usage guidelines for Chirp 3.

Google’s move with Chirp 3 positions it alongside other tools from its Vertex AI platform, which includes machine learning and generative AI services like its Gemini and Imagen models. With AI voice applications rapidly gaining traction, it will be interesting to see how Google expands its offerings to stay competitive in this evolving space.

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The role of AI in precision farming for wine production

AI is making its mark in the wine industry, with vineyards across California adopting cutting-edge technology to optimise crop production.

One notable example is Napa Valley farmer Tom Gamble, who has integrated an autonomous tractor equipped with AI sensors to map his vineyard.

These AI-powered machines gather data that allows farmers to make more informed decisions about water use, fertilizer application, and pest control, improving efficiency and sustainability.

AI’s influence extends beyond tractors. Companies like John Deere in the US have developed AI-driven technologies that help vineyard managers apply materials more precisely, reducing waste and environmental impact.

Smart irrigation systems, for example, can monitor water use and even shut off in case of leaks, making vineyards more water-efficient.

Despite concerns about the cost of adopting such technology, particularly for smaller, family-run vineyards, AI offers a way to streamline operations and adapt to changing environmental conditions.

While AI is enhancing wine production, it also aids in managing crop health and predicting yields. By analysing images and soil data, AI systems can detect early signs of disease or nutrient deficiencies, helping farmers take preventive action before issues escalate.

However, this technology allows vineyards to make smarter decisions, ultimately improving the quality and consistency of their wine production.

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OpenAI launches responses API for AI agent development

OpenAI has unveiled new tools to help developers and businesses build AI agents, which are automated systems that can independently perform tasks. These tools are part of OpenAI’s new Responses API, allowing enterprises to create custom AI agents that can search the web, navigate websites, and scan company files, similar to OpenAI’s existing Operator product. The company plans to phase out its older Assistants API by 2026, replacing it with the new capabilities.

The Responses API provides developers with access to powerful AI models, such as GPT-4o search and GPT-4o mini search, which are designed for high factual accuracy. OpenAI claims these models can offer more reliable answers than previous versions, with GPT-4o search achieving a 90% accuracy rate. Additionally, the platform includes a file search feature to help companies quickly retrieve information from their databases. The CUA model, which automates tasks like data entry, is also available, allowing developers to automate workflows with more precision.

Despite its promise, OpenAI acknowledges that there are still challenges to address, such as AI hallucinations and occasional errors in task automation. However, the company continues to improve its models, and the introduction of the Agents SDK gives developers the tools they need to build, debug, and optimise AI agents. OpenAI’s goal is to move beyond demos and create impactful tools that will shape the future of AI in enterprise applications.

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AI will enhance, not replace, programmers, says IBM CEO

At the SXSW conference, IBM CEO Arvind Krishna addressed two key topics: global trade and the role of artificial intelligence in programming. Krishna expressed his belief that global trade remains vital for economic growth, citing the historical correlation between increased trade and GDP growth.

He also argued that embracing international talent through policies supporting immigration would benefit the US, allowing it to remain competitive in the global market.

Turning to AI, Krishna disagreed with predictions that AI would soon take over coding entirely. Instead, he believes AI will increase programmer productivity by assisting with simpler tasks, allowing developers to focus on more complex problems.

He argued that AI could boost the output of existing teams, helping companies gain market share by enabling faster production and more efficient workflows.

While AI may revolutionise some aspects of work, Krishna maintained that it won’t replace human workers entirely. Drawing a parallel with the initial fears surrounding calculators and Photoshop, he described AI as a tool that enhances rather than replaces human expertise.

His comments come amid growing discussions about the future role of AI in various industries, including programming. Krishna also acknowledged the ongoing challenges in AI, such as intellectual property concerns and the need for energy-efficient models.

Krishna further stated that while AI would become cheaper and more accessible, it would not be the key to groundbreaking scientific discoveries. Instead, he emphasised the potential of quantum computing to accelerate innovation, with IBM’s ongoing investments in the technology.

His remarks highlighted both the promise and the limitations of AI, positioning it as an important tool in advancing industries but not a solution to all challenges.

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Elea introduces AI-powered solution for pathology labs

Elea, a Hamburg-based startup, is harnessing the power of AI to tackle inefficiencies in healthcare, starting with pathology labs.

The company’s AI operating system replaces outdated systems, offering a voice-powered solution that automates tasks such as report transcription and data handling.

Elea’s tool promises to significantly reduce the time it takes for labs to generate reports, with initial results showing a reduction from weeks to just a few days.

The AI system is designed to integrate seamlessly into existing lab processes, acting as an all-in-one solution that coordinates tasks traditionally managed by separate systems.

Elea’s cloud-based platform uses speech-to-text and text-to-structure technologies to automate everything from report writing to handling laboratory equipment, streamlining operations and reducing human error.

Founded in 2024, Elea has already secured a partnership with a major German hospital group, and it plans to expand internationally, particularly into the US The company recently raised €4 million in seed funding to support its growth.

Elea is betting on a gradual scaling strategy, aiming to improve productivity in pathology labs before potentially expanding its AI tools to other areas of healthcare, such as radiology.

Despite potential challenges, including accuracy concerns and data privacy, Elea is confident in its ability to revolutionise lab work.

By focusing on operational workflows, the German company hopes to improve both the speed and reliability of healthcare services, offering a glimpse into the future of AI in the medical field.

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Reliance Jio and SpaceX partner for Starlink in India

Mukesh Ambani’s Reliance Jio has struck a deal with Elon Musk’s SpaceX to bring Starlink satellite internet services to India, marking a surprising turn after months of rivalry over spectrum allocation.

Under the agreement, Jio will stock Starlink equipment in its retail stores, giving the US company direct access to thousands of outlets across the country.

Move like this one comes after New Delhi sided with Musk’s preferred method of spectrum allocation, despite Ambani’s earlier concerns that Starlink could dominate India’s telecom sector.

The deal follows a similar partnership between Starlink and Bharti Airtel, India’s second-largest telecom provider, both of which depend on government approval for operations to begin. While Airtel’s shares dipped slightly after the Jio announcement, Reliance Industries saw a marginal rise in trading.

Starlink, which has been awaiting licenses since 2022 due to national security concerns, is using the agreement as a low-cost entry into India’s fast-growing satellite internet market, expected to reach $1.9 billion by 2030.

For Musk, the stakes in India go beyond Starlink, as he recently secured a deal to open Tesla’s first showroom in the country.

However, high tariffs on imported electric vehicles remain a challenge. Meanwhile, Jio and SpaceX are also exploring other areas of cooperation, while Jio continues its own satellite broadband plans with Luxembourg-based SES.

Despite past disputes, the partnership signals a shift from competition to collaboration in India’s evolving telecom landscape.

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ServiceNow expands AI capabilities with $2.9B acquisition

ServiceNow has struck a significant deal, acquiring AI firm Moveworks for $2.85 billion in cash and stock, marking its largest-ever acquisition. This move comes as companies are increasingly investing in generative AI to streamline operations. ServiceNow, which is based in Santa Clara, California, US, plans to integrate Moveworks’ AI technology into its own platform, further enhancing its IT operations offerings.

Moveworks, known for its AI solutions that help resolve employee issues through chat, has a strong customer base, including companies like Broadcom, Palo Alto Networks, and Pinterest. The deal will bring more than 500 employees from Moveworks into ServiceNow, with no layoffs anticipated.

Despite the deal’s size, ServiceNow does not expect regulatory challenges to hinder the transaction, which is expected to close in the second half of 2025. Following the announcement, ServiceNow’s shares saw a 7% dip. Moveworks had previously raised $315 million, reaching a valuation of $2.1 billion before this acquisition.

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Xpeng plans major investment in humanoid robots

Chinese electric vehicle maker Xpeng is making a long-term push into humanoid robots, with potential investments reaching up to 100 billion yuan ($13.8 billion), according to CEO He Xiaopeng. Speaking at the annual parliamentary session, He described the company’s current investment as conservative but signalled a willingness to scale up significantly over the next two decades. Xpeng, which entered the humanoid robotics sector in 2020, unveiled its Iron humanoid robot last November, positioning it as a rival to Tesla’s Bot.

Chinese automakers are increasingly venturing into robotics, encouraged by policymakers aiming for breakthroughs in the field. Stellantis-backed Leapmotor has also joined the race, forming a robotics team to develop machines for industrial applications such as factory assembly lines. CEO Zhu Jiangming stated that these robots are intended to enhance efficiency by replacing human labour in production processes.

Xpeng’s CEO suggested that automakers could invest between 1-2 billion yuan per year in developing and deploying humanoid robots in real-world scenarios. As the industry shifts towards automation, carmakers are betting that advanced robotics will play a crucial role in future manufacturing and mobility solutions.

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Taco Bell parent company invests $1 billion in AI-powered restaurant technology

Taco Bell is ramping up its use of AI as part of a broader $1 billion investment by parent company Yum Brands in digital and technology.

At a recent investor event in New York, executives showcased the company’s ‘Byte by Yum’ AI tools, which aim to improve labour management and inventory tracking. Taco Bell’s Chief Digital and Technology Officer, Dane Mathews, said AI is already being used to streamline operations without reducing labour costs.

Around 500 Taco Bell locations in the United States now use AI-driven voice technology to handle drive-through orders, a significant increase from 100 locations in mid-2024.

During the investor event, executives presented a video skit demonstrating how AI could assist managers by suggesting staffing adjustments and optimising inventory. Analysts found the presentation both innovative and slightly unsettling, with Yum suggesting AI would help free up employees for other tasks rather than replace them.

Fast food chains are increasingly adopting AI to modernise operations, with companies like McDonald’s and Chipotle also investing in automation and digital tools. While Yum’s AI technology is currently used in nearly 25,000 of its 61,000 global restaurants, executives acknowledged there is still a long road ahead.

Analysts believe Yum may eventually commercialise its AI software beyond its own restaurant network. Taco Bell’s AI-driven strategy comes as the chain projects an 8% rise in same-store sales for the current quarter.

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