This is an ongoing collection of 2025 predictions and projections. We have also included some 2024 analysis.
If you know of any articles that cover AI from the perspective of technology for good and all humanity, please share with us at info@teckedin.com
AI Supremacy Substack - What to expect in AI for 2025
How close is real Agentic AI? Well, it depends on who you talk to. Google’s new Agent Development Kit (ADK) and with other additional capabilities that offer control over how agents behave really shows a lot of promise. This as MCP appears to have gained a lot of traction in early 2025.
Forbes - Right Now: And 6 AI Predictions For The Next Few Years
DeepSeek’s announcement, for one, leads companies away from this kind of traditional supervision toward something called supervised fine-tuning. Combining this with reinforcement learning, systems can become more autonomous and able to act without detailed human prompting. That’s a big part of what’s rocking the tech world right now.
AiThority - AI Trends for 2025: The Rise of Agents and Adaptive Experiences
Customer data platforms (CDPs) brought the promise of personalization, which revolved around delivering highly tailored customer experiences using centralized and comprehensive customer data. However, as we stated in our ebook, CDPs bring with them “lots of promise – and plenty of challenges” that have limited their success in delivering on the personalization. Thanks to suboptimal implementations and gaps in data and identity, the path toward 1:1 marketing has been difficult and slow.
ZDNet - This 5-year tech industry forecast predicts some surprising winners - and losers
LLMs will see 35% compounded annual growth over the next five years, ABI predicted: "Enterprise software spending on LLMs continues to grow rapidly as proofs of concept mature into scaled deployments embedded across entire companies."
Forbes - AI's Next Big Disruption: How 2025 Will Democratize Embedded Analytics
I recently overheard a marketing manager for a customer ask our analytics platform, in plain English, about customer behavior patterns across different regions. No SQL queries, no complex dashboard navigation—just a simple conversation with AI that unveiled insights that would have taken days to uncover in the past. This is just a glimpse of what's coming.
AI Changes Everything Substack - Glimpsing the Coming of AGI
AI progress is rapid and is not slowing down, as more AI labs pursue development and progress on various fronts is made in parallel. The progress in the past two years from GPT-4 to multi-modal frontier AI models with reasoning capabilities is at least half-way to where AI models need to be for AGI.
Network Computing - 5 takeaways from the Cisco AI Summit
Synthetic data offers a solution by using algorithms to generate artificial data that mimic real-world scenarios, providing a virtually limitless resource for training AI models. This approach can fill gaps where real data is sparse or hard to collect, allowing for more diverse training data without compromising privacy or ethical concerns.
TECHSTORY - AI ‘Godfather’ Predicts Another Revolution In The Tech In Next Five Years: What’s Next for AI?
AI’s ‘godfather’ predicts another revolution in tech in the next five years, highlighting that AI must develop real-world reasoning to enable fully autonomous vehicles and robots. LeCun’s research focuses on developing AI models that can predict and understand physical reality. He pointed out that AI has not yet reached human or even animal intelligence levels. “If AI reaches the intelligence of a cat or a rat, that would be a significant breakthrough,” he said
Forbes - Predictions For Tech In 2025
We'll also see the growth of decentralized cloud platforms next year. The need for affordable cloud services will mainly drive their adoption, as they can help companies avoid vendor lock-in. DePIN platforms will be essential in many organizations' cloud onboarding process and fill the infrastructural gap.
SiliconANGLE - Predictions for 2025 from theCUBE Research’s top analysts
It won’t shock you but look at both the trajectory of ML/AI over that time period and look at what happens to the other sectors. ML/AI shot to the top. Other sectors are somewhat compressed. This data underscores the transformation of the tech industry and specifically the spending priorities where ETR data tells us that roughly 44% of customers have been stealing from other budgets to fund their gen AI initiatives; and that the return on investment is – let’s say tepid.
Dan's Media & AI Sandwich Substack - AI predictions for 2025 (Part 3)
Whilst I’m confident there will be material leaps forward in the reliability of AI agents within narrow domains in 2025 (including coding), I don’t believe we’ll see the sort of general purpose assistant that the term ‘AI agent’ typically evokes.
AiThority - Unlocking AI Potential: What the 2025 State of the Data Lakehouse Survey Taught Us
What sets AI-ready data apart is that it’s clean, governed, and seamlessly integrated into workflows that empower AI models to deliver actionable insights. For many businesses, this is a game-changer enabling faster innovation and better decision-making. Yet, the road to AI readiness is not without its obstacles. Governance and security remain the top challenges and were the main obstacles, with 36% of respondents flagging them as key concerns. The cost and complexity of data preparation were the other popular concerns as it continues to hinder progress for one third of all organizations.
VentureBeat - We asked OpenAI’s o1 about the top AI trends in 2025 — here’s a look into our conversation
One use case that highlights the convergence of these trends is digital humans, which exemplify how foundational and emerging AI technologies come together to drive transformative innovation. These AI-powered avatars create lifelike, engaging interactions and span roles such as digital coworkers, tutors, personal assistants, entertainers and companions. Their development shows how interconnected AI trends create transformative innovations.
Forbes - 2024: A landmark year In The Evolution Of AI
And let’s not forget the buzzword of 2025: “agents.” These autonomous systems will encapsulate the power of generative AI, adapting to complex scenarios. In fact, transformers – the algorithms underpinning today’s large models – are on the verge of being replaced by even more efficient successors.
SiliconANGLE - Top 10 enterprise technology predictions: What’s coming in 2025
We had several inbound predictions around DevOps but fewer than in past years, and digital transformation, once the buzzword of the day, has all but disappeared from the predictions narrative. Software as a service is still showing some life and, as with cybersecurity, the SaaS inbounds were sprinkled with AI throughout. And the “Other” category remained noticeable with topics around edge, public policy, jobs, social issues and the like.
Forbes - The Top 10 Consumer Tech Trends That Matter Most In 2025
“The first trend is the evolution of digital commerce into conversational commerce, fueled by the rise of platforms like social and quick commerce ecosystems, alongside the growth of brand-led direct-to-consumer platforms,”
TechCrunch - Meta’s Yann LeCun predicts a ‘new AI architectures paradigm’ within 5 years and ‘decade of robotics’
“I think the shelf life of the current [LLM] paradigm is fairly short, probably three to five years,” LeCun said. “I think within five years, nobody in their right mind would use them anymore, at least not as the central component of an AI system. I think [….] we’re going to see the emergence of a new paradigm for AI architectures, which may not have the limitations of current AI systems.”
Forbes - The State Of AI Cybersecurity In 2025 And Beyond
To address the issues of AI cybersecurity in 2025 and beyond, stakeholders must take a proactive and collaborative approach. This entails not just investing in breakthrough AI technologies and strong defense mechanisms but also cultivating an ecosystem of shared information, cross-sector collaboration and transparent governance frameworks that address both current and long-term concerns
New Economies Substack - AI Trends 2025
“2025 will mark the year businesses stop thinking of AI as tools and start treating them as co-workers. This isn't just semantic—it's a fundamental shift in how organizations operate. While this transformation raises hard questions about the future of work, it's unlocking unprecedented opportunities for businesses that have been held back by resource constraints.”
Network Computing - From New Sustainability Initiatives to the Bifurcation of Storage: 5 Data Center Trends to Watch in 2025
"High-capacity storage solutions emphasize cost-effective, large-scale data retention, while compute-optimized storage focuses on speed and low latency for performance-critical, time-sensitive applications. Many organizations require both capabilities. In this rapidly changing landscape, simply purchasing white-label drives as storage needs grow is no longer sufficient. Solutions must be tailored to specific use cases to ensure optimal performance and efficiency."
SiliconANGLE - Predictions 2025: Data renaissance, systems of agency, LAMs, SAMs and security threats
It’s no surprise, but look at both the trajectory of ML/AI over that time period and look what happened to the other sectors. ML/AI shot to the top – other sectors became compressed. Because this is a fixed taxonomy architected to demonstrate changes over time, the categories are rigid. The point being much of the AI work is being done in the cloud and that understates the cloud momentum. Nonetheless this data underscores the transformation of the tech industry generally and specifically the spending priorities of IT decision makers.
Dan's Media & AI Sandwich Substack - AI predictions for 2025 (Part 2)
I anticipate AI assistants’ short and long-term memory will both materially improve over the course of this year, as context windows continues to grow (MiniMax-01, released last week, has a 4 million token context window - 31 times larger than ChatGPT’s - whilst Magic AI has trained a 100 million token context model) and new approaches to long-term memory are developed.
ITPro Today - AI Trends and Predictions 2025 From Industry Insiders
Our 2025 tech predictions are in, complete with "anti-predictions" — highlighting trends widely expected to dominate the IT landscape but viewed differently by our experts. Not surprisingly, a number of our predictions revolve around artificial intelligence — including a bearish outlook about expanded AI adoption by businesses in 2025.
Dan's Media & AI Sandwich Substack - AI predictions for 2025 (Part 1)
1.) Google will consolidate its newfound lead in AI video generation and lead the pack on AI world building
After 9 months of patiently waiting for Sora’s public release, it was Google’s AI video generator, Veo 2, that knocked everyone’s socks off in December. It wasn’t just the aesthetic quality of its output, its prompt adherence, or the promise of longer duration videos, but also its better (but still imperfect) adherence to real-world physics.
Information Week - 10 Unexpected, Under the Radar Predictions for 2025
“Explainable AI can be described as good, bad, and ugly, with some explainable AI in the bad and ugly category. With AI regulation taking center stage in many geographies, deterministic explainable AI algorithms are ready to burst onto the AI scene,”
The Trustable AI Newsletter Substack - Predicting The Future
The era of traditional pre-training (aka training larger models on more data) is ending. We’ve seen rumblings of this in late 2024: Ilya Sutskever discussed this in his late 2024 NeurIPs keynote talk; and the internet is becoming increasingly filled with synthetic (LLM-generated) data that can lead to model collapse when used indiscriminately.
Forbes - 2025: Agentic And Physical AI — A Multitrillion Dollar Economy Emerges
Multiple industry forecasts, corroborated by extensive research across sectors, predict that AI agents will automate up to 70% of office work tasks within the next decade. This transformative shift promises to significantly enhance productivity and efficiency while fundamentally redefining the nature of work. While a significant portion of roles could be automated, most will evolve to prioritize nuanced, creative, and critical thinking skills.
In Pursuit of Good Tech Substack - Watching the 2025 Horizon
On one end, companies can look for solutions that target specific task sets with relatively low implementation needs. These solutions are typically designed to automate pre-existing tasks, with the heaviest lift being to train the humans how to use it. The challenge on this end of the spectrum is that unless the AI shows immediate return on investment and recurring use, the chances of it sticking quickly decline as the ‘cool new tool’ factor fades.
CISO Tradecraft Substack - CISO Crystal Ball: 2025 Predictions
The Prediction: Expect AI-generated models to become mainstream in cybersecurity training, delivering engaging, tailored dialogues. These digital influencers could become the go-to for awareness campaigns and technical training.
ITPro Today - 2025 Tech Anti-Predictions: What Won't Make Waves in the Year Ahead
Deploying AI for more sophisticated purposes — like fully automating complex and unpredictable workflows — is likely to prove much harder. It may require organizations to build their own AI solutions, a complicated and time-consuming process. The AI governance and security implications of more complex AI technology also present a barrier.
Forbes - 3 AI Myths That 2025 Will Debunk
For example, a common AI technique, Generative Adversarial Networks (GANs) operate as two competing AIs, one generating and one discriminating. The iteration continues inside it till the generator comes up with something the discriminator cannot detect. If AIs use these methods to improve their content, how can we believe another AI can detect it? Methods like AI watermarking, and legislation to enforce such methods, are emerging and may become a more reliable way to detect and track AI content. Mistakes by AI detectors are starting to make the news. I expect 2025 is the year when we widely desist from reliance on such tools.
GeekWire - AI in 2025: A solopreneur software developer’s take on where things stand, and what’s next
AI will enable managing multiple agents or AI-powered tasks simultaneously, similar to controlling different characters in a video game. This will require new user interfaces to manage these AI agents effectively.
AiThority - Dataiku Unveils 2025 GenAI Trends Report
“AI agents are not on their way, they are already here redefining the rules of business — and that is only going to accelerate. Company leaders have no choice but to move decisively to avoid falling into the commodity AI trap, as competitors are poised to turn their AI advantage into meaningful differentiation, business transformation, and market domination.”
Hyperdimensional - 2025: A Look Ahead
Instead, these systems may automate an increasing number of the scientist’s tasks, meaning that scientists can go from one experiment to the next more quickly. However, on its own, this may not mean much if the experimental productivity of scientists does not also increase. This is why I have written in support of government-funded automated labs for fields like materials science: because AI will enable scientists to generate more promising ideas, we need to improve the throughput of science so that those ideas can be tested more efficiently.
Forbes - AI Governance In 2025: Expert Predictions On Ethics, Tech, And Law
Ms. Lefaivre Škopac predicts that "soft law" mechanisms – including standards, certifications, a collaboration between national AI Safety Institutes, and domain-specific guidance – will play an increasingly important role in filling regulatory gaps. "It's still going to be fragmented and won't be fully harmonized for the foreseeable future, if ever," she admits.
AI Changes Everything Substack - Year 3, pt 3: AI Progress for 2024 - Multimodality
In 2024, we encountered both surprises in AI development as well as expected rapid progress in AI: More efficient AI models, open source closing some gaps, the aforementioned AI reasoning models. What stands out as the biggest story is that 2024 was the year of multimodality, and the biggest leaps in progress were made in generative audio-visual AI – AI image generation, AI video generation, AI audio generation, and multimodal LLMs.
Artificial Ignorance - AI predictions for 2025
When I initially wrote this idea down, Google hadn’t released Gemini 2.0 Flash Thinking Experimental, and OpenAI hadn’t released o3. But the thesis stands: 2025's frontier in AI will be about reasoning capabilities, not just “more parameters.” While larger models are still on the horizon, there's more low-hanging fruit in improving models at inference time (aka “reasoning”). OpenAI's rapid progression from o1 to o3 demonstrates this, and we should expect DeepMind to iterate quickly on Flash Thinking, with Meta and Anthropic likely to release their own reasoning-focused models.
Forbes - Sam Altman — AGI & AI Workforce In 2025: The Battle Of Tech Giants
I don’t believe AGI will happen by 2025, and many experts agree. Demis Hassabis, who I worked with at Google, predicts AGI could arrive around 2035. Ray Kurzweil estimates 2032, and Jürgen Schmidhuber, director of IDSIA, suggests closer to 2050. The skeptics are many, and the timeline remains uncertain.
Information Week - Why Most Agentic Architectures Will Fail
“Companies should focus on building a strong digital core that can handle the high demands of AI, from data processing to seamless integration with hybrid or multi-cloud environments. This not only allows organizations to scale AI capabilities efficiently but also ensures the flexibility to adapt as systems evolve.”
AiThority - 2025: The Agentic AI Inflection Point
Eliminating the query coding of SQL alone will save tremendous time for the average data analyst, let alone automating the extraction of meaningful data insights and guidance to suggest further data questioning for data science leaders to explore and share insights with their business stakeholder counterparts.
VentureBeat - Why context-aware AI agents will give us superpowers in 2025
The next wave of superpowers, however, will not be free. But just like our abilities to think verbally and numerically, we will experience these powers as self-embodied capabilities that we carry around with us throughout our lives. I refer to this new technological discipline as augmented mentality and it will emerge from the convergence of AI, conversational computing and augmented reality. And, in 2025 it will kick off an arms race among the largest companies in the world to sell us superhuman abilities.
Forbes - 3 Predictions For Predictive AI In 2025
For one, predictive AI has the potential to do what might otherwise be impossible: Realize genAI's bold, ambitious promise of autonomy—or at least a great deal of that often overzealous promise. By predicting which cases require a human in the loop, genAI systems could gain the trust needed for them to be unleashed.
SiliconANGLE - Data 2025 outlook: AI drives a renaissance of data
When it comes to generative AI, it seems like there is no middle ground. Depending on whom you speak with, the AI future is infinite or the sky is falling. We’re getting predictions that “2025 will be known as the year of The Automation of Everything” (this was in a vendor email pitch) to “Wall Street’s hottest trend may come to a crashing halt” (link below). Or that, according to Microsoft Corp. CEO Satya Nadella, AI agents will cause software-as-a-service applications to “collapse” as they soak up all the business logic. There’s no doubt that we’re in for some form of transformation, at some point.
Information Week - The Biggest Cybersecurity Issues Heading into 2025
But AI has myriad use cases. In addition to cybersecurity threats and defensive tools, this technology is being applied up and down the technology stack. Cybersecurity leaders must think about the security implications of AI throughout their enterprises.
Big Data Wire - O’Reilly 2025 Tech Trends Report Reveals AI Skills Surge While Security Governance Takes Center Stage
Among top AI topics, there was a marked decline in interest for GPT, which saw a 13% drop in usage and a similar downward trend in searches, indicating that developers are prioritizing foundational AI knowledge over platform-specific skills to effectively navigate across various AI models such as Claude, Google’s Gemini, and Llama. This year’s report also highlights the rapid rise of critical AI-related skills tied to LangChain and retrieval-augmented generation (RAG), which have rapidly gained prominence and are now comparable in usage to established AI libraries like PyTorch and Keras
Forbes - AI Agents In 2025: What Enterprise Leaders Need To Know
2025 will be the year of AI agents. AI will simplify, enhance, or automate workflows across industries. But there won’t be one "killer app." If such an app exists, it would likely be Search—see my prediction on Search. Instead, we’ll see smaller workflows in areas like customer care (see my investment in ultimate.ai), legal support (see flank.io), or sales (see my company, r2decide.com).
Network World - What to expect from NaaS in 2025
ABI Research predicts that by 2030 more than 90% of enterprises will consume at least 25% of their network services via NaaS. “Deploying networks ‘as-a-service’ will become a cornerstone of any successful enterprise digital transformation. It provides greater time-to-value for new sites or use cases, optimizes cloud strategies, and increases networking control by abstracting hardware and providing centralized management.
Forbes - 2025: The Year Of Search But Not The End Of Google
Additionally there are many startups. Over the last 12 months I stopped counting the number of founders who told me that they are going to “kill Google.” Here are two note worthy ones: Andi emphasizes a conversational, visually engaging style. Summaries often include meme-like visuals. Kagi offers a subscription-based, ad-free option with minimal tracking.
Business Insider - Bill Gates, Amazon's CTO, and other tech leaders share their predictions for 2025
Tech users will find more intentional ways to use their devices in 2025, according to Vogels. The Amazon exec pointed at data related to social media use and mental health issues among teens in the US in his blog about 2025 as an indicator of a need to rethink our relationship with technology.
Forbes - No AGI But A ‘Killer App’ - 2025 AI Prediction (1/10)
This isn’t real understanding—it’s just pattern matching. Generative AI doesn’t “consider” other options like “box of surprises”. It might seem intelligent because it can give polished responses, but it’s no more self-aware than a chess computer that doesn’t care if it loses a game.
techradar - Sam Altman reveals your biggest requests for OpenAI in 2025 and there are two I'd love to see happen
I don’t think the world is quite ready for AGI yet, even if it was a technical possibility. Of everything on the wishlist, improvements to ChatGPT top my list. Particularly better memory, a feature that Google is spending a lot of time developing for ChatGPT rival Gemini, along with its deep research feature.
Network World - AI, power availability and Intel’s future
3) AI needs to deliver, or spending trails off
The amount of investment in AI hardware is exorbitant, and while this has made Nvidia shareholders very happy, other people are not as enthusiastic. OpenAI, Google, Microsoft, Meta, X, and more are going to start to feel pressure to deliver revenue. Right now, they’re not getting a return on their investment, and that will have to change or spending will slow.
Fast Company - 25 experts predict how AI will change business and life in 2025
“2025 is the year where dark data lights up. The majority of today’s data sits in unstructured formats such as documents, images, videos, audio, and more. AI and improved data systems will enable businesses to easily process and analyze all of this unstructured data in ways that will completely transform their ability to reason about and leverage their enterprise-wide data.”
Real-time Decision Intelligence Substack - AI Quant in 2025
As we begin 2025, financial markets are faster, more complex, and less predictable than ever. To navigate this environment, AI Quant has emerged as a game-changer, revolutionizing algorithmic trading by combining Agentic AI with the strengths of Analytical AI, Predictive AI, and Generative AI.
Digit.in - From AI agents to humanoid robots: Top AI trends for 2025
In an interview with MIT Technology Review, OpenAI’s Sam Altman described the best application of AI as a “super-competent colleague that knows absolutely everything about my whole life, every email, every conversation I’ve ever had, but doesn’t feel like an extension.” That’s what an AI agent will look like, in essence. Are you ready for J.A.R.V.I.S., Tony Stark’s intelligent AI assistant from Iron Man, or Samantha from Her, a significantly advanced AI operating system than what we’ve experienced till now?
Forbes - The Year Of AI And Tech Troubles: 2024’s Most Notable Failures
ChatGPT and Bad Legal Advice - Canadian lawyer Chong Ke turned to ChatGPT for help with a client's query about traveling rights with a child, but the AI-powered chatbot provided the lawyer with completely made-up court cases; worse, Chong Ke did not fact-check. Ke was forced to pay the court costs for the opposing counsel to research the nonexistent cases, highlighting the risks of relying on AI for critical information
TechCrunch - From AI agents to enterprise budgets, 20 VCs share their predictions on enterprise tech in 2025
“A key focus of mine is on spaces that were historically untouchable by venture funds because their business models demanded high COGS or OpEx. We’re seeing AI automate so much behind-the-scenes work that sectors like accounting services, or revenue cycle management, or white-glove legal services can now command software-like margins.”
Artificial Corner Substack - What’s Next for AI? 7 Trends to Watch in 2025
The challenge, however, is that current models often struggle to reason logically and consistently. They’re typically good at executing simple plans, but when it comes to navigating complex scenarios with multiple variables, they tend to lose focus and make decisions that don’t always add up.
Marcus on AI Substack - 25 AI Predictions for 2025, from Marcus on AI
OpenAI will continue to preview products months and perhaps years before they are solid and widely available at an accessible price. (For example, Sora was previewed in February, and only rolled out in December, with restrictions on usage; the AI tutor demoed by Sal Khan in May 2024 is still not generally available; o3 has been previewed but not released likely will likely be quite expensive.)
TechCrunch - Silicon Valley stifled the AI doom movement in 2024
On the opposite side, a16z general partner Martin Casado is one of the people leading the fight against regulating catastrophic AI risk. In a December op-ed on AI policy, Casado argued that we need more reasonable AI policy moving forward, declaring that “AI appears to be tremendously safe.”
AI Supremacy Substack - 2025: The Big Picture
What I like about many of the lists I’ve mentioned and is they are easy to read, and useful to ponder moving forwards. Let’s take some time to appreciate where we are in AI history as a civilization. There’s good, bad and geopolitical now. How we navigate technology as a species now could have existential outcomes for our institutions, systems and the future of our societies.
Forbes - The Quantum Cybersecurity Revolution: Arguably The Biggest Startup Opportunity In 2025
Because quantum computers are not yet universally available or practical for all applications, hybrid systems combining quantum and classical technologies are emerging as a transitional solution and would likely be the bread and butter of cybersecurity companies in 2025.
Computerworld - What’s next for generative AI in 2025?
Predictive AI uses historical data and techniques such as machine learning and statistics to forecast future events or behaviors, said Forrester analyst Jayesh Chaurasia. GenAI, on the other hand, creates new content — such as images, text, videos, or synthetic data — leveraging deep learning methods such as generative adversarial networks (GANs). Chaurasia predicts the AI pendulum will swing back to predictive AI for over 50% of use cases.
Dr Phil's Newsletter Substack - AI in Instructional Design: reflections on 2024 & predictions for 2025
By moving from unstructured experimentation to more intentional AI use, 2025 will likely be the year that Instructional Designers will start to produce higher quality outputs more consistently and efficiently. If this happens, 2025 will be the year that AI starts to change Instructional Design as an industry, shifting focus from functional to more strategic tasks and transforming the speed at which we work.
Diginomica - From governance to collaboration - the AI trends defining 2025
The best planned AI initiatives are shifting from proof-of-concept to proof-of-value, focusing on solving real problems – and these are set to become more than just buzzwords in 2025. Instead of merely demonstrating feasibility, projects should start with a concrete challenge and use real data to address it.
VentureBeat - Why 2025 will redefine data infrastructure: 11 expert insights on sovereign clouds, exploding data, PaaS and more
“In 2025, enterprises will fully embrace multimodal data and AI, transforming how they operate and deliver[ing] value. At the core of this shift is the ‘Intelligent Data Flywheel’ — a dynamic cycle where real-time data powers AI-driven insights, fueling continuous innovation and improvement. Today’s dark data — images, videos, audio, and sensor outputs — will become central to unlocking sharper predictions, smarter automations and real-time adaptability, ultimately leading to a richer and more nuanced understanding of the business reality.
AI Supremacy Substack - The Robots are coming: Genesis
For centuries, caregiving for the elderly has been a deeply human endeavor, tied to family bonds and societal structures. Now, we stand on the brink of a profound transformation. Humanoid robots may offer a bold and transformative solution, one that redefines not just how care is provided, but who—or what—provides it. These machines, designed to assist with daily tasks, provide companionship, and monitor health, are no longer a distant possibility but a defining reality shaping industries and lives
ZDNet - ZDNet - AI isn't the next big thing - here's what is
The best thing about AI is that it makes everything easy. The worst thing? It makes everything easy. More competitors will enter your space, and old competitors will get better -- all powered by, you guessed it, AI.
VentureBeat - Why 2025 will be the year of AI orchestration
Swami Sivasubramanian, VP of AI and data at AWS, said 2025 will be the year of productivity, because executives will begin to care more about the costs of using AI. Proving productivity becomes essential, and this begins with understanding how multiple agents, both inside internal workflows and those that touch other services, can be made better.
Dylan Anderson Substack - Issue #34 – Top Ten Data Ecosystem Predictions for 2025
Just like Data Science ten years ago, AI needs to find its centre of gravity in organisations and reach for what’s plausible rather than the art of the possible.
Forbes - Geoffrey Hinton Predicts Human Extinction At The Hands Of AI. Here’s How To Stop It
Geoffrey Hinton, often referred to as one of the “godfathers” of artificial intelligence, believes there is a 10% to 20% chance that AI could drive humanity to extinction within 30 years. Speaking on BBC Radio 4, the British-Canadian computer scientist stated, “we’ve never had to deal with things more intelligent than ourselves before. And how many examples do you know of a more intelligent thing being controlled by a less intelligent thing?” Hinton’s assessment highlights the urgent need for action and raises profound questions about how we develop and govern AI.
Geeky Gadgets - 10 Mind-Blowing AI Predictions for 2025 That Will Change Everything
Advances in robotics simulation platforms, such as Genesis, will further accelerate the training and deployment of these robots. This will reduce development costs and enable broader adoption across industrial and commercial sectors. These robots will not only perform repetitive tasks but also adapt to dynamic environments, making them invaluable assets in high-demand industries.
Gizmodo - We Did Not Reach the AI Promised Land in 2024
That’s why big tech is now pushing “agentic” AI. Companies promise large language models will do all your busywork for you seamlessly, non-intrusively. Perhaps, with agents, AI can come alive in 2025. We have only seen some demos of how this AI will work. Surveys show that current AI features don’t enthuse Apple and Android users. In essence, big tech needs agentic AI to take off. Without it, regular users will wonder what the fuss was for. We don’t know how these AI agents will work next year, but we know exactly how Silicon Valley will push it to users, whether we want them or not.
Forbes - 12 Predictions For 2025 That Will Shape Our Future
2025 could be the year when we finally have machines capable of thinking like humans. This will, in turn, force us all to rethink what it is to be a creator of intelligent “life.” New problems will appear with the creation of AGI systems capable of solving multi-disciplinary problems. We will also need to create solutions for the coming concerns around safety in superintelligence, the ability to control and contain it, and how many and how intelligent an AI agent we should be allowed to develop. Neural architectures and quantum computing will be the drivers behind this innovation. This will lead to conversations of international regulation so that AGI will be oriented to fit society’s ethical benchmarks and welfare.
The Algorithmic Bridge - 20 Predictions For AI in 2025
Hallucinations won’t be solved; the most advanced model created in 2025 will still make factual mistakes that no human would make
Stanford University/HAI - Predictions for AI in 2025: Collaborative Agents, AI Skepticism, and New Risks
The other big story, I think, is what I would call asymptoting. Large models are improving slowly. We’ve seen the large models released at slower rates than they were before, and they’re still impressive in what they’re able to do on certain benchmarks, but for many of these tasks, they’re getting better much more slowly. Do we only get slightly better because they’ve used so much data, and maybe synthetic data hasn’t worked out as well as some of the people thought it might? And in fact, some of the newer models might even be worse at some tasks.
Diginomica - The future of SaaS in a world of AI agents - part 1 - pricing
Why are the likes of Microsoft, Oracle and Salesforce in such a rush to get their customers to adopt their own versions of agentic AI? Because they know that, if they don't get ahead of this trend, they run the risk of being swept away by it. The current generation of AI will change the enterprise software business as fundamentally as did the switch from on-premise to the cloud. It is not only changing how software is designed and built, but also the types of applications that customers will buy, and how they will pay for them.
VentureBeat - The 4 biggest AI stories from 2024 and one key prediction for 2025
Additionally, we anticipate the initial large-scale deployments of large language models (LLMs) and generative AI-powered robotics in both commercial and consumer settings, revolutionizing automation and human-robot interactions.
Forbes - Cybersecurity Trends And Priorities To Watch For 2025
The most vulnerable targets are small businesses, organizations, and particularly healthcare facilities that cannot afford to make large expenditures in defensive developing cybersecurity technology like artificial intelligence. Hacker extortion via ransomware and cryptocurrency demands could become a more persistent and dynamic danger.
CIO - 12 AI predictions for 2025
This year, we’ve seen some use cases proven to have ROI, says Monteiro. In 2025, those use cases will see massive adoption, especially if the AI technology is integrated into the software platforms that companies are already using, making it very simple to adopt.
VentureBeat - How advanced foundation models will expand what AI can do (and other predictions for 2025)
Expect a lot of loud cage rattling in this area. If we use California’s failed SB1047 legislation as a bellwether, Elon Musk’s pro-regulation and Trump’s anti-regulation stances will be offsetting penalties. Look for things like Anthropic’s constitution model on steroids as the industry attempts “self-regulation” for foundation model safety to avoid government regulation. Likewise, expect a flourishing of AI security startups to help with forms of cyber containment.
NVIDIA - 2025 Predictions: Enterprises, Researchers and Startups Home In on Humanoids, AI Agents as Generative AI Crosses the Chasm
The rise of generative AI has transformed inference from simple recognition of the query and response to complex information generation — including summarizing from multiple sources and large language models such as OpenAI o1 and Llama 450B — which dramatically increases computational demands. Through new hardware innovations, coupled with continuous software improvements, performance will increase and total cost of ownership is expected to shrink by 5x or more.