forecast
30 articles about forecast in AI news
OpenAI Forecasts $121B in AI Hardware Costs for 2028
OpenAI is forecasting its own AI research hardware costs will reach $121 billion in 2028, according to a WSJ report. This figure highlights the extreme capital intensity required to compete at the frontier of AI.
OpenAI, Anthropic Forecast $121B Compute Burn, Revealing AI's True Cost
Internal forecasts from OpenAI and Anthropic reveal the core challenge of modern AI has shifted from selling the technology to financing the immense compute required for training and inference, with OpenAI projecting $121B in compute spending for 2028.
AI Forecasters Revise AGI Timeline: Key Milestones Pulled Forward to 2029-2030 After Recent Model Progress
A significant update from AI forecasters indicates key AGI milestones have been pulled forward, with the median prediction for AGI arrival shifting from 2032 to 2029-2030. This revision follows rapid progress in recent model capabilities, particularly in reasoning and tool use.
New Research: Fine-Tuned LLMs Outperform GPT-5 for Probabilistic Supply Chain Forecasting
Researchers introduced an end-to-end framework that fine-tunes large language models (LLMs) to produce calibrated probabilistic forecasts of supply chain disruptions. The model, trained on realized outcomes, significantly outperforms strong baselines like GPT-5 on accuracy, calibration, and precision. This suggests a pathway for creating domain-specific forecasting models that generate actionable, decision-ready signals.
Google Open-Sources TimesFM: A 100B-Point Time Series Foundation Model for Zero-Shot Forecasting
Google has open-sourced TimesFM, a foundation model for time series forecasting trained on 100 billion real-world time points. It requires no dataset-specific training and can generate predictions instantly for domains like traffic, weather, and demand.
How AI is Impacting Five Demand Forecasting Roles in Retail
AI is transforming demand forecasting, shifting roles from manual data processing to strategic analysis. The article identifies five key positions being reshaped, highlighting a move towards higher-value, AI-augmented work.
Jensen Huang Disputes Anthropic CEO's $1T AI Revenue Forecast, Calls It 'Too Conservative'
NVIDIA CEO Jensen Huang publicly challenged Anthropic CEO Dario Amodei's prediction that AI will generate $1 trillion in revenue by 2030, stating the forecast is 'too conservative.'
Smarter Shopping: Forecasting the Future of AI Agents in Retail
The Wall Street Journal reports on the emerging role of autonomous AI agents in retail, forecasting their potential to transform shopping by handling complex, multi-step tasks. This signals a shift from passive chatbots to active, goal-oriented assistants.
New Research Identifies Data Quality as Key Bottleneck in Multimodal Forecasting
A new arXiv paper introduces CAF-7M, a 7-million-sample dataset for context-aided forecasting. The research shows that poor context quality, not model architecture, has limited multimodal forecasting performance. This has implications for retail demand prediction that combines numerical data with text or image context.
TimeSqueeze: A New Method for Dynamic Patching in Time Series Forecasting
Researchers introduce TimeSqueeze, a dynamic patching mechanism for Transformer-based time series models. It adaptively segments sequences based on signal complexity, achieving up to 20x faster convergence and 8x higher data efficiency. This addresses a core trade-off between accuracy and computational cost in long-horizon forecasting.
Beyond Simple Predictions: How Frequency Domain AI Transforms Retail Demand Forecasting
New FreST Loss AI technique analyzes retail data in joint spatio-temporal frequency domain, capturing complex dependencies between stores, products, and time for superior demand forecasting accuracy.
Broadcom's $100 Billion AI Chip Forecast Signals Industry Transformation
Broadcom CEO Hock Tan projects the company's AI chip sales will exceed $100 billion in 2027, challenging Nvidia's dominance. This forecast comes alongside Anthropic resuming Pentagon talks about military AI applications.
TimeGS: How Computer Graphics Techniques Are Revolutionizing Time Series Forecasting
Researchers have introduced TimeGS, a novel AI framework that treats time series forecasting as a 2D rendering problem. By adapting Gaussian splatting techniques from computer graphics, the approach achieves state-of-the-art performance while maintaining temporal continuity.
StaTS AI Model Revolutionizes Time Series Forecasting with Adaptive Noise Schedules
Researchers introduce StaTS, a diffusion model that learns adaptive noise schedules and uses frequency guidance for superior time series forecasting. The approach addresses key limitations in existing methods while maintaining efficiency.
AI-Powered Geopolitical Forecasting: How Machine Learning Models Are Predicting Regime Stability
Advanced AI systems are now analyzing political instability with unprecedented accuracy, predicting regime vulnerabilities in real-time. These models process vast datasets to forecast governmental collapse and potential conflict escalation.
Google's TimesFM Foundation Model: A New Paradigm for Time Series Forecasting
Google Research has open-sourced TimesFM, a 200 million parameter foundation model for time series forecasting. Trained on 100 billion real-world time points, it demonstrates remarkable zero-shot forecasting capabilities across diverse domains without task-specific training.
SK Group Chairman Forecasts Memory Chip Shortage Until 2030, Warns of Sustained Price Increases
SK Group Chairman Chey Tae-won predicts the global memory chip supply crunch could persist until around 2030, with wafer supply lagging demand by over 20% and prices continuing to rise.
From Dismissed Warnings to Economic Reality: How AI's Job Disruption Forecasts Are Gaining Urgency
After two years of largely ignored warnings from AI lab CEOs about massive job displacement, workers and policymakers are beginning to take these predictions seriously as AI capabilities accelerate, creating new pressures on the industry.
Kronos AI Outperforms Leading Time Series Models by 93% on Candlestick Data
Researchers from Tsinghua University released Kronos, an open-source foundation model trained on 12 billion candlestick records from 45 exchanges. It reportedly achieves 93% higher accuracy than leading time series models for price and volatility forecasting, requiring no fine-tuning.
Google's TimesFM: 200M-Param Foundation Model for Zero-Shot Time Series
Google released TimesFM, a 200M-parameter foundation model for time series forecasting that works without training on user data. It's now available open-source and as a product inside BigQuery.
AI-2027 Authors Accelerate AGI Timelines, Citing Rapid Progress in Agentic Coding
The AI-2027 forecasting group has accelerated its timeline for when AI could replace human software engineers by 1.5 years, from late 2029 to mid-2028. This revision is based on observed rapid progress in agentic coding systems over the last 3-5 months.
The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
Researchers propose an 'agentic strategic asset allocation pipeline' using ~50 specialized AI agents to forecast markets, construct portfolios, and self-improve. The system is governed by a traditional Investment Policy Statement, aiming to automate high-level asset management.
AI Researcher Kimmonismus Predicts AGI Within 6-12 Months, Widespread Worker Replacement in 1-2 Years
Independent AI researcher Kimmonismus predicts AGI will arrive within 6-12 months, with widespread worker displacement following in 1-2 years. The forecast, shared on X, adds to a growing chorus of near-term AGI predictions from industry figures.
Morgan Stanley Predicts 10x Compute Spike to Double AI Intelligence, Highlights 18 GW Energy Crisis
Morgan Stanley forecasts a massive AI leap from a 10x increase in training compute, but warns of an 18-gigawatt U.S. power shortfall by 2028. The report claims GPT-5.4 matches human experts with 83% on GDPVal.
NVIDIA CEO Jensen Huang Predicts Humanoid Robots in Daily Life Within 3-5 Years
NVIDIA CEO Jensen Huang forecasts humanoid robots performing tasks like cooking and nursing will become commonplace in 3-5 years, citing advancements in microelectronics and supply chains.
Cloudflare CEO Predicts AI Bot Traffic Will Surpass Human Web Traffic by 2027
Cloudflare CEO Matthew Prince forecasts that automated bot traffic will exceed human web traffic within three years, driven by the proliferation of AI agents. This projection highlights a fundamental shift in internet infrastructure demands.
Nvidia Projects $1 Trillion in AI Chip Revenue Through 2027, According to Analyst
An analyst report, shared by Rohan Paul, projects Nvidia will generate $1 trillion in cumulative revenue from AI chips between 2024 and 2027. This forecast underscores the scale of infrastructure investment required for the current AI boom.
Agentic AI May Drive Up to Half of All Online Transactions by 2027
A new report suggests autonomous AI agents could facilitate 50% of online purchases within three years, representing a fundamental shift in digital commerce. This forecast highlights the accelerating move from passive recommendation engines to active, task-completing AI.
From Hours to Weeks: Sam Altman Predicts AI's Exponential Leap into Proactive Partnership
OpenAI CEO Sam Altman forecasts that AI will soon handle multi-week projects autonomously, evolving from a tool into a proactive, context-aware partner that integrates deeply into professional and personal life.
Microsoft AI CEO Predicts Professional AGI Within 2-3 Years, Redefining Institutional Operations
Microsoft AI CEO Mustafa Suleyman forecasts professional-grade artificial general intelligence arriving within 2-3 years, capable of coordinating teams and running institutions. He distinguishes this practical milestone from the more nebulous concept of superintelligence.