In a machine-led economy, relational intelligence is key to success

human hand and robot hand

Enterprise use of AI agents is on the rise, with 25% of enterprises using generative AI forecast to deploy AI agents in 2025, growing to 50% by 2027, according to Deloitte.

The rise of agents means we need to adopt a new mindset. Being prepared for reinvention is crucial in an AI-first future led by agents. Business leaders must operate like chefs, not cooks in a world of hyper-automation, connections, and real-time knowledge sharing.

Also: 15 ways AI saved me time at work in 2024 — and how I plan to use it in 2025

A cook uses recipes to create — learning by analogy. A chef does not need a recipe. A chef learns the taste of each ingredient and can combine the right ingredients to prepare a delicious plate — learning by first principles. A good chef also understands relationships between ingredients, dishes, the kitchen, staff, customers, and more.

Companies will invest heavily in AI agents as the world of work changes forever. According to tech analyst Gartner, agentic AI is the most important strategic technology for 2025 and beyond.

Agentic AI systems autonomously plan and take actions to meet user-defined goals. The technology offers a virtual workforce that can offload and augment human work. Gartner predicts that, by 2028, at least 15% of day-to-day work decisions will be taken autonomously through agentic AI, up from 0% in 2024.

So, how can businesses manage relationships between a human and AI digital workforce, collaborating to deliver value at the speed of need to all stakeholders? In a machine-led economy, how do we define healthy relationships between people and machines? The level of transformation ahead of us, including innovation velocity (speed and direction), will force business leaders to challenge legacy assumptions and orthodoxies.

The business world is full of orthodoxies, beliefs that no one questions because they are thought to be "just the way things are". One such orthodoxy is the phrase: "Our people are the difference". A simple Google search can attest to its popularity.

Some companies use this orthodoxy as their official or unofficial tagline, a tribute to their employees that they hope sends the right message internally and externally. They hope their employees feel special and customers take this orthodoxy as proof of their human goodness.

Also: Why ethics is becoming AI's biggest challenge

Other firms use this orthodoxy as part of their explanation of what makes their company different. It's part of their corporate story. It sounds nice, caring, and positive. The only problem is that this orthodoxy is not true.

The most obvious reason is that most employees of nearly all companies have worked somewhere else before joining their current firm. And most have worked at one or more competitors. We know this fact because perhaps the most common phrase in recruiting history is the one in job postings that says, "Relevant industry experience mandatory."

Human resource managers appear to think prior experience in their industry is an essential quality for a prospective employee, even a deal breaker. It's another orthodoxy that should, by the way, be closely scrutinized for its value. The outcome is that everyone moves within their industry. So, it would be better to assert that "our people are reassuringly familiar".

However, there is another, less obvious, way this orthodoxy isn't true. This way might even be a more significant blocker to innovative thinking. It's the fact that what makes the difference is not the individual employee but the conditions set for them by the company culture and the relationships they are encouraged and allowed to make with each other, their customers, their bosses, and so on.

Also: Generative AI is now a must-have tool for technology professionals

The truth is that individuals can thrive in one environment and struggle in another. We see this most clearly in professional sports teams where trades can result in surprising performance changes.

Some players flourish in new surroundings and become highly valued team members after failing to differentiate themselves at their former club, while others fail to live up to expectations. In either case, the player is not the difference, though they can bloom or wilt. The determining factor is the conditions the players are placed in and the relationships they make, or do not make, that enable them to do so.

Another way to put this is that individual employees are not fixed assets. They do not behave the same way in all conditions. In most cases, employees are adaptable and can absorb and respond to change. The environment, conditions, and potential for relationships cause this capacity to express itself.

So, on the one hand, one company's employees are the same as any other company's employees in the same industry. They move from company to company, read the same magazines, attend similar conventions, and learn the same strategies and processes.

But at the same time, one employee can perform in one way at one company and very differently at another. They can be stars at one and struggle to shine at another. They can love working at one company and hate the same job at a different firm.

Also: Your AI transformation depends on these 5 business tactics

Business leadership author Simon Sinek provides a clear example in one of his favorite true stories about a barista named Noah. He describes being at the Four Seasons Hotel in Las Vegas, ordering a coffee from Noah, and asking whether he enjoyed his job. Noah responded immediately: "I love it!" When asked why, he said it was because managers would check up on him frequently and ask him what they could do to help him.

Noah then said that he does the same job at a different hotel and the managers always check up on him but only to see what he's doing wrong. As a direct consequence his attitude to work there is entirely transactional. He puts in the hours, keeps his head down, and takes the paycheck.

Sinek is right to make the point that the experience Noah's customers get will be wildly different depending on which hotel he's serving them at. The same barista with the same job but two hotels with entirely different management philosophies and the employee's and his customers' experience of his service are night and day.

Sinek draws from this story the lesson that different leadership approaches can create different work conditions for their employees and elicit different experiences and performances. The lesson is that performance, the "difference" that companies seek from their people, is not an attribute that is owned or embodied solely by the individual employees themselves.

Also: 4 ways to turn generative AI experiments into real business value

Instead, performance is a shared attribute that emerges from the coming together of the employee and the conditions, the culture, and the other people with whom they interact, including but not limited to their managers. Performance is emergent and it is relational. As companies deploy agent AIs, creating a boundless digital workforce, where humans and agents work together to deliver customer success, business leaders must focus on designing healthy and sustainable relationships.

Relational intelligence, a practice we believe encompasses a framework for how people and machines can co-create real value for each other and all stakeholders, will determine who wins in a machine-led economy.

Companies that leave it up to their people to be the difference or to make the difference because, well, that's what the orthodoxy tells us, are at risk of missing a bigger truth — the relationships between people are more important to business success than the people themselves. Our relationships make the difference.

This article was co-authored by Henry King, business innovation and transformation strategy leader and co-author of Boundless: A New Mindset for Unlimited Business Success.

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Hiring Trends in 2025

Hiring trends in 2025

As we enter 2025, career aspirations are part of common new-year goals. Whether one is looking for a job switch or preparing for their own venture, understanding the latest hiring trends is essential to stay competitive for both sought-after talent and recruiters seeking the best fit.

A recent report from Naukri.com identified industries fueling job market expansion in December 2024. As per the report, AI and machine learning (ML) topped the charts with a 36% growth, followed by oil and gas with over 13% growth, FMCG with over 12% growth, and healthcare with over 12% growth.

Pawan Goyal, chief business officer at Naukri, said, “India’s job market is entering 2025 with vigour, driven by AI/ML growth and creative sectors. The surge in fresher hiring and evolving C-suite roles signals a transformation into a more dynamic landscape.”

chart visualization

Skills Critical for Hiring

AI skills are emerging as a key requirement in this evolving job market. A LinkedIn report revealed that employees skilled in generative AI are five times more likely to develop complementary skills like creative ideation, design thinking, and emotional intelligence.

Organisations with more GenAI-skilled employees also see four times the usual rate of leadership promotions and five times the usual rate of overall promotions.

In an interview with AIM, Joseph Sudheer Thumma, CEO and MD of IT company Magellanic Cloud, stressed the growing importance of AI expertise. “In today’s era, AI-related skills are essential across roles. At Magellanic Cloud, we prioritise candidates with a proven ability to learn quickly and adapt to change. While technical AI knowledge is crucial for some roles, we value curiosity and a growth mindset, ensuring continuous upskilling to meet tech-driven challenges.”

Echoing this sentiment, Rajesh Chandran Sogasu, senior VP at IT firm Happiest Minds Technologies, added, “AI skills are vital for our Generative AI Business Unit and Analytics/AI Center of Excellence. For other roles, we offer training to help employees leverage AI for career growth.”

In 2025, professionals with expertise in AI/ML technologies such as Python, R, TensorFlow, PyTorch, and scikit-learn will be highly sought after, along with the knowledge of neural networks and natural language processing (NLP).

Data engineering and big data skills, including experience in data pipelines, Hadoop, Spark, and cloud platforms like AWS and Google Cloud are also in demand. Organisations are actively seeking data science and analytics capabilities, such as advanced statistical analysis, SQL proficiency, and familiarity with visualisation tools like Tableau and Power BI.

The growing focus on AI ethics underscores the importance of understanding AI governance, bias detection, and data privacy laws. Additionally, roles in computer vision require expertise in OpenCV (Open Source Computer Vision Library), deep learning for vision tasks, and 3D modelling tools. At the same time, AI product management demands strategic thinking, project management skills, and a strong grasp of AI technologies.

Appraisal Migration Wave

The IT sector’s annual migration season kicks off in April. According to placement data from the job portal Apna.co, 82% of professionals are planning to change jobs, creating a ripple of anxiety among HR departments.

Speaking to AIM, Khushbu Singh, lead process excellence at Capgemini, explained an unusual shift this year, “Typically, most companies follow the April-June appraisal cycle. However, delays in appraisals from the October-November-December (OND) cycle are now spilling into February. If OND cycles extend, it’s likely the April-June cycle will push into September. Additionally, companies consolidating two appraisal cycles into one are adding to this uncertainty.”

What’s Next?

As AI continues to reshape industries like IT, retail, automotive, and healthcare, Bengaluru stands out as the hub for AI jobs in India.

V Suresh, CEO of foundit, told AIM, “AI-driven solutions are creating demand for roles like machine learning engineers, AI researchers, and automation specialists. Key skills include NLP, computer vision, and AI ethics. Opportunities are concentrated in senior roles, with Bengaluru standing out as India’s AI job capital.”

Beyond Bengaluru, other cities are also making strides. Chennai saw a 35% growth, while Hyderabad posted a 15% growth, driven by demand in IT, consumer durables, and real estate. Coimbatore stood out, with fresher hiring growing by 14%, fueled by a remarkable 52% surge in foreign MNC hiring.

So, upskilling is no longer optional. Updating resumes, staying informed about industry shifts, and being ready to relocate, if necessary, will be imperative this year.

The post Hiring Trends in 2025 appeared first on Analytics India Magazine.

NVIDIA Launches Cosmos, a Platform to Develop World Foundation Models

At CES 2025, NVIDIA unveiled Cosmos, a platform built to speed up the development of physical AI systems, including autonomous vehicles and robots. The platform includes generative world foundation models (WFMs), video tokenisers, guardrails, and an accelerated data processing pipeline to help developers create and refine AI models with reduced reliance on real-world data.

Cosmos is available under an open model license on Hugging Face and the NVIDIA NGC catalogue. Fully optimised NVIDIA NIM microservices will follow, with enterprise support provided through the NVIDIA AI Enterprise software platform.

Speaking at CES, NVIDIA CEO Jensen Huang said, “The ChatGPT moment for robotics is coming. Like large language models, world foundation models are fundamental to advancing robot and AV development, yet not all developers have the expertise and resources to train their own. We created Cosmos to democratise physical AI and put general robotics in reach of every developer.”

The Cosmos models can generate physics-based videos using inputs such as text, images, and sensor data, enabling their use in applications like video search, synthetic data generation, and reinforcement learning.

Developers can customise the models to simulate industrial environments, driving scenarios, and other specific use cases. NVIDIA also introduced NeMo Curator, an accelerated video processing pipeline that can process 20 million hours of video in 14 days, and Cosmos Tokeniser, a visual data compression tool.

“Data scarcity and variability are key challenges to successful learning in robot environments,” said Pras Velagapudi, chief technology officer at Agility Robotics. “Cosmos’ text-, image-, and video-to-world capabilities allow us to generate and augment scenarios for a variety of tasks that we can use to train models without needing as much expensive, real-world data capture.”

Major robotics and transportation companies, including Agile Robots, XPENG, Waabi, and Uber, have begun adopting Cosmos for their AI development.

Uber CEO Dara Khosrowshahi said, “Generative AI will power the future of mobility, requiring both rich data and very powerful compute. By working with NVIDIA, we are confident that we can help supercharge the timeline for safe and scalable autonomous driving solutions for the industry.”

In addition to Cosmos, NVIDIA introduced the Llama Nemotron large language models and Cosmos Nemotron vision language models, developed for enterprise use in sectors including healthcare, finance, and manufacturing.

The post NVIDIA Launches Cosmos, a Platform to Develop World Foundation Models appeared first on Analytics India Magazine.

Grammarly just made it easier to prove the sources of your text in Google Docs

Authorship on a tablet on a green background.

In this age of distrust, misinformation, and skepticism, you may wonder how to demonstrate your sources within a Google Document. Did you type it yourself, copy and paste it from a browser-based source, copy and paste it from an unknown source, or did it come from generative AI?

You may not think this is an important clarification, but if writing is a critical part of your livelihood or life, you will definitely want to demonstrate your sources.

Also: Grammarly to roll out a new AI content detector tool. Here's how it works

That's where the new Grammarly feature comes in.

Authorship proactively tracks the writing process

The new feature is called Authorship, and according to Grammarly, "Grammarly Authorship is a set of features that helps users demonstrate their sources of text in a Google doc. When you activate Authorship within Google Docs, it proactively tracks the writing process as you write."

I tested Grammarly Authorship and was impressed with its accuracy. For example, I used it with this document, which includes some pasted text directly from the Grammarly site. Authorship detected all originally typed text but tagged a sentence I copied from the Grammarly site as added from the PR release from Grammarly about Authorship. Needless to say, I was impressed. Even in beta, the feature was accurate.

The feature is currently in beta and works in Google Docs through Grammarly for Chrome or Microsoft Edge. In other words, you'll need to be using a Chromium-based browser for this to work. Grammarly Authorship is available to all plans (Free, Premium, Pro, and Education) and is very simple to enable.

How to enable and use Authorship in Grammarly

You need to enable the feature in Google Docs by clicking the small fingerprint icon at the bottom right of a new Google Doc (you must have the Grammarly plugin installed first) and then clicking "Track writing activity." You will then need to allow Grammarly access to your clipboard so the add-on can record sources used in your document.

Click "Track writing activity" to begin.

Once you click the button, Authorship will start tracking your document. At any time, you can click the same fingerprint icon and then click "See report" to view the statistics for your current document.

To view a report at any time, click "See report."

The report will inform you of the percentage of what you typed, what was copied from a known source, and what was copied from an unknown origin. I was able to trip up Authorship by pasting content from Opera's Aria AI, which was tagged as an unknown source. But given that this is still in beta, that shouldn't come as a surprise.

Also: I'm an AI tools expert, and these are the only two I pay for

For anyone who is keen on proving sources used in Google Documents, Grammarly Authorship should be considered a must.

Other than installing the Grammarly browser extension, there's nothing else to install to start using Authorship in Google Docs.

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India Remains Optimistic Amid Global Layoff Wave

One would think that an engineer’s brain is persistently occupied with churning out code and cracking logic and decisions. However, a part of it always ruminates on the dreaded possibility of being laid off. Because the fact is, nobody is safe.

In 2024, we witnessed another brutal spate of layoffs as some of the biggest companies let go of their talent. About 1.5 lakh employees from 545 companies across the globe were sacked in the past year, according to Layoffs.fyi, an independent layoff curation platform.

The United States was at the forefront of these cutbacks, with a majority of these companies based out of the country. While artificial intelligence has been cited as a factor in some of these reductions, it is important to note that there are multiple other factors, too.

While this is bad news, there’s, however, a silver lining for India.

India – The AI Service Capital of the World?

In India, 2024 provided a sense of security after the COVID-induced layoffs the previous year. In June, over 1 lakh unique jobs were added to a jobs portal, and interestingly, multiple companies that had laid off due to AI were re-hiring!

Moreover, hiring in Indian IT is expected to increase by 8.5% in FY 25, and even the salaries are expected to see an upswing.

India, already renowned as the IT service capital of the world, is well positioned to become the AI service capital as well, thanks to its vast talent pool, cost efficiency, and rapidly growing AI expertise. Service providers in India can help build efficient AI agents for thousands of companies in a multitude of industries worldwide.

In his latest blog post, OpenAI CEO Sam Altman reiterated the dominance of AI agents in the near future. “We believe, in 2025, we may see the first AI agents join the workforce and materially change the output of companies,” he said.

Even Salesforce CEO Marc Benioff has been hyper-optimistic about this. “I’m not just managing human beings, but I am also managing agents,” Benioff said. A few months ago, he said that his vision was to empower one billion agents with Agentforce, the company’s AI-agent development suite, by 2025.

Rightfully so, Indian developers and startups are already betting big on building AI agents. The market is expected to reach $47.1 billion by 2030, up from $5.1 billion in 2024.

Unlike in the US, the focus here is not on replacing humans with AI but on upskilling them. Last year alone, IndianIT companies, such as TCS, Infosys, and Wipro, upskilled over 825,000 employees with generative AI skills.

It remains to be seen how effective many of these upskilling programmes are since some reportedly complete GenAI courses within hours by rapidly clicking the ‘next’ button to the finish line.

However, NVIDIA launched a more objective and concrete upskilling program in October. The company partnered with Infosys, Tech Mahindra, and Wipro to upskill half a million developers and consultants to design and deploy AI agents with NVIDIA’s AI suite.

CEO Jensen Huang praised India’s pool of talent, calling it an “amazing natural resource” in IT expertise. “India’s technical talent is unmatched,” he said.

The resilience against layoffs may also stem from the hesitation in adopting new AI tools. While Indian IT is investing heavily in generative AI projects and engagements, it is not currently enthusiastic about using these tools in the workplace.

Earlier this year, Mrinal Rai, assistant director and principal analyst at ISG, speaking to AIM about tools like Claude and Cursor, said, “Many of these [GenAI] solutions fail to impress clients. Indian IT service providers have long-standing relationships with enterprises and have experience in the specific nuances in a large or medium-sized business requirement.”

However, AI tools and agents have had quite an impact on the United States’ employment landscape.

Bloodbath in US-Based Companies

According to Layoffs.fyi, the tech industry in the United States experienced a significant workforce reduction in 2024. It revealed that over 100,000 employees were laid off across 364 companies headquartered in the United States.

Some of the biggest household names led the wave of cutbacks. Google trimmed its workforce by 1,300 employees, while Microsoft made a more substantial cut of over 3,500 positions. Apple parted ways with 700 employees, and cloud-based sales giant Salesforce reduced its team by approximately 1,000. The list goes on.

It’s important to note that the data from Layoffs.fyi pertains only to layoffs disclosed or uncovered by public sources. The number of layoffs in US-based firms stood at 180,000 in 2023, which was significantly higher than what was reported in 2024.

chart visualization

Meanwhile, several industry leaders have been openly discussing AI’s potential to replace human workers. Google CEO Sundar Pichai said that approximately 25% of new code at the company was written by AI, followed by Benioff, who revealed that the company had slashed human escalations in its support infrastructure by a whopping 50%.

“We’re resolving 83% of all of our inquiries robotically. It’s incredible,” he said.

Notably, Swedish payment company Klarna reported massive efficiency gains with AI. The company said it eliminated hundreds of human jobs by integrating AI to handle customer queries. Klarna had reportedly reduced the query resolution time from 11 minutes to 2 minutes. Moreover, the AI integration reduced repeat inquiries by 25%.

“AI can do all of the jobs that we humans do. It’s just a question of how we apply and use it,” said Sebastian Siemiatkowski, the CEO of Klarna.

In 2023, IBM said that it expects AI to replace 30% of its workforce, with plans to cut about 8000 jobs with AI. Since then, the company has laid off at least 4,900 employees, with 1,000 of them fired in 2024. The company also said that AI has helped boost efficiency across multiple sectors of the organization. For instance, IBM has automated recruiting processes, cutting employee mobility processing time by 50%, streamlined source-to-pay processes in the supply chain, and reduced invoice costs by up to 50%.

The post India Remains Optimistic Amid Global Layoff Wave appeared first on Analytics India Magazine.

Microsoft Announces $3 Billion Investment to Expand Azure in India

Microsoft CEO Satya Nadella announced Microsoft’s largest investment in India yet, a $3 billion commitment to expand Azure’s infrastructure in the country, at the Microsoft AI Tour in Bengaluru on Tuesday. The investment will scale Microsoft’s regional cloud infrastructure to bolster AI and computing capabilities.

Emphasising the importance of infrastructure for AI innovation, Nadella said, “AI doesn’t sit on its own; it requires the entire compute stack.” He highlighted that Microsoft has built over 60 regions and 300 data centres worldwide, including existing regions in Central India, South India, and West India.

The additional investment is set to scale up Microsoft’s data centre operations across India. Speaking about the importance of infrastructure in AI development, Nadella said, “Infrastructure needs to be the highest priority, and we are innovating at every layer of it.”

Moreover, Microsoft will train 10 million people in AI by 2030 as a part of its ADVANTA(I)GE INDIA initiative.

Microsoft recently announced that it is projected to invest approximately $80 billion in FY 2025 globally to establish AI-enabled data centres for training AI models and deploying AI and cloud applications worldwide.

Nadella also shared insights from his meeting with Prime Minister Narendra Modi, who discussed India’s vision for an AI-driven future. Nadella praised the synergy between India’s AI mission, the entrepreneurial ecosystem, and its demographics, describing them as elements of a “virtuous cycle”.

“Thank you, PM Narendra Modi ji, for your leadership. Excited to build on our commitment to making India AI-first and work together on our continued expansion in the country to ensure every Indian benefits from this AI platform shift,” Nadella said in a post on X.

“It was indeed a delight to meet you, Satya Nadella! Glad to know about Microsoft’s ambitious expansion and investment plans in India. It was also wonderful discussing various aspects of tech, innovation and AI in our meeting,” PM Modi replied.

Moreover, the CEO outlined a new metric for evaluating AI and compute efficiency, which he described as “tokens per dollar per watt”. Linking this to broader economic growth, he said, “Two years from now, five years from now, 10 years from now, we will be talking about the correlation between GDP growth and how efficiently communities and industries drive that equation.”

As part of its expansion, Microsoft plans to integrate renewable energy and advanced engineering practices to make its data centres more sustainable. Nadella highlighted innovations such as liquid-cooled AI accelerators, zero-waste construction, and zero-water usage facilities.

Nadella is currently touring India as part of the Microsoft AI Tour, where he spoke in Bengaluru on January 7 and will also speak in Delhi on January 8. Last week, he met with Telangana Chief Minister A. Revanth Reddy in Hyderabad to discuss the state’s technology priorities, including AI, generative AI, and cloud development.

Microsoft India employs over 20,000 people across 10 cities, including Ahmedabad, Bengaluru, Chennai, Gurugram, Delhi, Noida, Kolkata, Mumbai, and Pune, with Hyderabad alone accounting for half the workforce at 10,000 employees.

For the fiscal year ending March 30, Microsoft’s India business posted a 38.44% increase in net profit year over year, driven by the steady growth in cloud adoption and AI.

The post Microsoft Announces $3 Billion Investment to Expand Azure in India appeared first on Analytics India Magazine.

OpenAI Sets Ambitious Course Toward Superintelligence

Sam Altman, CEO of OpenAI, starts 2025 with a bold declaration for the future of artificial intelligence. According to Altman, OpenAI is now confident in its understanding of how to create AGI (artificial general intelligence) and is shifting focus toward the next frontier: superintelligence.

OpenAI's latest model, o3, which was unveiled in December and is undergoing safety evaluations, successfully passed the ARC-AGI challenge, a leading AGI benchmark. Under standard compute conditions, the model achieved an impressive score of 75.7%, with a more powerful version reaching 87.5%. While this milestone in the ARC-AGI test is notable, it does not yet confirm that OpenAI has unlocked the path to AGI.

“Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet,” shared François Chollet, the creator of ARC. “o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence.”

OpenAI appears to be fully committed to the concept of superintellignce and is investing heavily in this pursuit. A new team has been formed, led by Ilya Sutskever and Jan Leike with a focus on superintelligence and AGI. It is also dedicating a significant 20% of the compute resources to support the work of this new team.

Interestingly, Ilya Sutskever, co-founder of OpenAI, left the company in May 2024 and was replaced by Jakub Pachocki. Since Sutskever’s departure, there has been no public announcement of his return to OpenAI. Sutskever is reported to have played a key role in the failed attempt to oust Altman as CEO. This makes his name popping up as the co-leader of the Superalignment team a bit of a surprise.

OpenAI has decided to label its approach to addressing the challenges of aligning superintelligent AI with human values as Superalignment. This term reflects the growing concern within the AI community about how to ensure that AI systems, once they surpass human intelligence, do not act in ways that are harmful or misaligned with human goals.

Ilya Sutskever Co-Founder OpenAI
Credit: Stanford HAI

So what’s the big deal with AGI and superintelligence and why has it created so much hype? The buzz around AGI and superintelligence is driven by their potential to revolutionize everything from science to everyday life.

While there is no consensus as to what AGI is exactly, it represents computers or machines that can perform any human task autonomously. Superintelligence would go even further, surpassing human capabilities in every domain.

“Superintelligence will be the most impactful technology humanity has ever invented and could help us solve many of the world’s most important problems,” shared OpenAI in an article introducing superalignment."But the vast power of superintelligence could also be very dangerous and could lead to the disempowerment of humanity or even human extinction. While superintelligence seems far off now, we believe it could arrive this decade.”

OpenAI has faced criticism for some of its strategic moves including disbanding of teams that were focused on AI safety. This move led to the departure of several safety-focused researchers from the company.

Altman’s claim about AGI and superintelligence has met with skepticism. The shifting timelines from Altman on when OpenAI’s path to superintelligence has fueled doubts. Not to forget some fundamental issues with AI such as hallucinations, astonishingly high energy demands, and a tendency to make mistakes raises concerns about the technology's readiness for the big promises Altman is making.

Despite the challenges, Altman remains confident in OpenAI's ability to achieve its ambitious goals. While his vision is optimistic, it raises the crucial question: can OpenAI deliver on such high-stakes promises, or will the hype outpace reality?

Sam Altman, CEO of OpenAI (left), and Microsoft CEO Satya Nadella

“We love our current products, but we are here for the glorious future,” Altman wrote in his personal blog. “Superintelligent tools could massively accelerate scientific discovery and innovation well beyond what we are capable of doing on our own, and in turn massively increase abundance and prosperity.”

Altman emphasized that AI systems are generally smarter than humans, and with superintelligence, AI systems are only going to get smarter.

OpenAI’s ambitious claim to be on the brink of achieving AGI and even venturing into superintelligence is undoubtedly audacious. However, considering the company’s past accomplishments, it’s hard to dismiss entirely. If OpenAI does succeed in realizing AGI, the pace of change will be nothing short of staggering. It could potentially reshape every aspect of our lives in ways we can only begin to imagine.

The best robotics and AI tech of CES 2025

Robotics and AI tech at CES 2025 shown on a universe colorful background.

The buzzword of the past two years has been AI, and as a result, many of the products at CES featured the technology, or at least claimed to, making it more challenging than ever to choose the best in the category. When executed correctly, integrating AI into consumer tech can significantly improve how helpful users' workflows and lives are by unlocking a new range of possibilities, and that's what ZDNET was on the lookout for at CES.

Also: CES 2025: The most impressive products we've seen so far

Informed by hands-on time on the show floor, as well as demos of the most cutting-edge AI features in existing hardware, ZDNET rounded up the AI features and products that either are the most likely to transform your life today or have the promise to bring meaningful change in the near future. Keep reading below to find the picks, which will be updated every day with the latest selections.

CES 2025

Healthcare Agency Teams Up with Hospitals to Counter False HMPV Claims

Healthcare Agency

False rumours about Human Metapneumovirus (HMPV) causing a COVID-like pandemic in India are surfacing via articles, blogs, and messages. Misleading claims about potential oxygen shortages and bed availability issues in hospitals have been triggering unnecessary fear and panic among citizens.

A similar state of chaos was previously observed during the COVID-19 pandemic when unverified information caused widespread anxiety and uncertainty.

To address this issue, HealthPresso, a healthcare marketing agency, has partnered with medical institutes, pharmaceutical organisations, and medical technology (MedTech) companies to create authentic and reliable content to be shared with patients and customers.

In an exclusive conversation with AIM, Daleep Singh Manhas, co-founder and CEO of HealthPresso, said, “We help doctors build their practice, hospitals enhance their reputation, health brands create differentiation, and agencies achieve outstanding performance through our unique technology called Humeta.”

Humeta is HealthPresso’s flagship AI platform, designed and built for healthcare communication. Unlike ChatGPT’s generalised data model, Humeta employs a retrieval-augmented generation (RAG) approach, sourcing information from over one million credible healthcare databases such as PubMed, WHO, Springer, and the Centers for Disease Control and Prevention (CDC).

Notably, Yatharth Hospital and Healthcare at Home have collaborated with HealthPresso to create awareness content on the spread of HPMV.

The platform ensures that content follows healthcare communication standards, using templates for press releases, blogs, and white papers. Advanced filters minimise misinformation and prioritise science-backed and factual content while maintaining low hallucination risk.

Additionally, built-in regulatory compliance guidelines ensure adherence to medical communication standards, including patient information and disclaimers.

Manhas mentioned that they are currently working with AIIMS Delhi, especially with its department of physiology, and taking feedback about the AI platform. While it currently only offers textual content, it aims to offer visual content creation in the future.

Healthpresso’s Team, Revenue Model, and Funding Insights

HealthPresso is a 30-member team that brings together expertise in AI and engineering, healthcare content, business development, marketing, and strategic guidance. The AI and engineering division consists of 10 professionals, five of whom are dedicated to building Humeta, and five others focus on refining the HealthPresso platform.

Their efforts are supported by an advisory board of five seasoned healthcare professionals and AI strategists, who provide guidance for the company’s strategic decisions.

In terms of financial health, the company operates on a subscription and licensing model and caters to both healthcare professionals and businesses. Doctors and healthcare professionals can subscribe to create and distribute personalised patient education content. Meanwhile, healthcare brands, pharma, MedTech, health devices, hospitals, and healthcare associations, can license the AI platform for tailored content solutions.

Additionally, API-based integrations enable third-party applications, such as patient engagement platforms and telemedicine apps, to enhance their services with HealthPresso’s AI-driven healthcare content.

HealthPresso has demonstrated growth potential and secured $100,000 in seed funding from healthcare-focused investors. To further boost its development, the company is seeking $2 million to enhance AI capabilities, expand content partnerships, and scale its market presence. It also plans to enter the US market by June 2025. This funding will validate Humeta’s performance with top-tier institutions while driving growth into consumer-centric health education markets in the US.

What’s Next?

In India, platforms like MyUpchar, Happiest Health, Tata 1mg, Practo, and Lybrate provide general healthcare content. However, none specialise in creating healthcare content using AI-driven RAG models.

On the global level, Healthline and WebMD dominate consumer health content but don’t offer real-time personalised content. IBM Watson Health previously highlighted the need for specialised AI in healthcare communication but did not incorporate a real-time RAG engine before its discontinuation.

Hence, going forward, there is a need to adopt AI in the healthcare industry to help doctors create and share the right information faster.

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OpenAI Open-Sources Structured Outputs Sample Apps for Developers

What is Left for OpenAI Dev Day

OpenAI has recently open-sourced a collection of sample applications that demonstrate their Structured Outputs feature, providing developers with tools to build more reliable applications using their language models. The repository, available on GitHub, contains several sample apps demonstrating practical ways to leverage Structured Outputs in NextJS applications.

The Structured Outputs feature ensures that responses and tool calls adhere to a defined JSON schema, bridging the gap between unpredictable model outputs and deterministic workflows. This improvement in reliability is essential for developers utilising OpenAI’s advanced language models.

The sample apps cover a range of use cases, from simple examples to more complex implementations. One app focuses on resume extraction and demonstrates how to display information in a structured format.

Another app explores generative UI, showcasing the dynamic generation of UI components using Structured Outputs. The most complex example is a conversational assistant that combines multi-turn conversations, tool calling, and generative UI.

“Each app demonstrates practical ways to leverage this feature to build applications with NextJS,” said team OpenAI. The company believes that this provides developers with valuable resources to explore and adapt for their own projects.

To get started, the team said that developers can clone the repository, set up the OpenAI API, and follow the README instructions for each sample app. OpenAI also provided additional resources, including documentation on Structured Outputs and Function Calling, as well as an introductory cookbook for hands-on experience with code snippets in Python.

While OpenAI welcomes contributions to improve the sample apps, they note that not all suggestions may be reviewed. The project is licensed under the MIT License, allowing developers significant freedom in using and modifying the code for their own purposes.

OpenAI came up with the update featuring Structured Outputs in its API last year, which claims to enhance the model’s reasoning by ensuring precise and consistent adherence to output schemas. This was demonstrated by GPT-4o-2024-08-06, achieving ‘100% reliability’ in evaluations, perfectly matching the output schemas, and ensuring accurate and consistent data generation.

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