According to God of Prompt on Twitter, the majority of AI skills learned in 2025 are now obsolete, with 2026 demanding a completely new approach to AI expertise (source: @godofprompt, Jan 16, 2026). At the AI Skills'2026 event, experts will analyze which AI competencies are no longer relevant and highlight emerging, in-demand skills for the coming year. This shift reflects the rapid evolution in AI technology and underscores the necessity for continuous upskilling and adaptation for professionals and businesses. The event targets over 4,000 attendees, offering actionable insights into practical AI applications, market-driven skills, and business opportunities in the changing landscape.

According to @sama on Twitter, Sam Altman posted a single emoji 🫠, sparking discussion across the AI community. While the tweet itself contains no direct information, its viral spread highlights the ongoing influence of tech leaders like Altman on AI industry sentiment and trends (source: https://twitter.com/sama/status/2012271781394989327). The attention garnered by this post underscores how even minimal communication from AI thought leaders can impact public perception, investor interest, and conversations about the future of artificial intelligence. This phenomenon demonstrates the importance of monitoring social signals and thought leadership in shaping business opportunities and market directions within the AI sector.

According to God of Prompt on Twitter, over 90% of AI skills acquired in 2025 have become obsolete, highlighting the rapid evolution of AI technologies and skill requirements in the industry. The upcoming AI Skills'2026 event on January 22 will provide a comprehensive breakdown of outdated versus next-generation AI skills, attracting over 4,000 attendees for more than four hours of in-depth analysis. This event underlines the urgent need for AI professionals and businesses to continuously update their skillsets to remain competitive in the fast-changing AI landscape. Source: God of Prompt (@godofprompt) via Twitter.

According to Sawyer Merritt, X has announced a significant update to its creator revenue sharing program, doubling the total payout pool and introducing a new calculation method based on Verified Home Timeline impressions. This shift leverages AI-powered verification to ensure that creators are compensated based on authentic audience engagement, addressing past concerns about fake views and bot traffic (source: Sawyer Merritt, Twitter). The AI-driven update is expected to improve transparency, enhance trust among advertisers, and open new business opportunities for content creators and brands seeking measurable ROI from social media campaigns.

According to Sawyer Merritt on Twitter, Tesla has officially launched its operations in Slovakia, including the activation of an online configurator that leverages advanced AI to personalize vehicle selections and streamline the purchasing process (Source: Sawyer Merritt, Twitter, Jan 16, 2026). This expansion showcases Tesla's commitment to integrating AI-driven features into its sales and customer engagement strategies. The launch event, running from January 16th to 18th, features test drives, vehicle displays including the Cybertruck, and interactive experiences, highlighting practical applications of AI technologies in automotive retail and customer experience. For businesses in the region, this development signals significant opportunities for collaboration in AI-enabled automotive services, local supply chains, and digital retail innovations.

According to Sawyer Merritt, OpenAI has officially announced that ads will soon be displayed to users of ChatGPT's free and Go subscription tiers, marking a significant shift in the monetization strategy for AI-powered chat services (source: Sawyer Merritt on Twitter). The ads, previewed in early screenshots, will be natively integrated into ChatGPT conversations, providing AI companies and digital marketers with a new channel for targeted advertising and customer engagement. This move opens up fresh business opportunities for advertisers looking to reach ChatGPT’s large user base and highlights a growing trend of integrating commercial models into AI platforms (source: Sawyer Merritt on Twitter).

According to OpenAI on Twitter, the company has shared a first look at the ad formats it plans to test for integrating AI-driven advertising into its platforms. This move highlights a significant step toward monetizing generative AI products by offering personalized, context-aware ads. For businesses, these new formats could unlock innovative advertising channels and improved targeting efficiency, leveraging OpenAI's advanced language models to enhance engagement and ROI. This development marks a pivotal shift in the AI industry, signaling new revenue streams and partnership opportunities for companies seeking to capitalize on AI-powered digital marketing (Source: OpenAI, Twitter, Jan 16, 2026).

According to OpenAI (@OpenAI), their latest AI test will specifically target logged-in adults in the United States. This initiative signals OpenAI's strategic focus on refining AI model performance for authenticated U.S. users, which could lead to improved personalization and data security. Businesses in the AI sector should monitor this development closely, as it may set new standards for user authentication, data privacy, and regional customization in AI services (source: OpenAI Twitter, Jan 16, 2026).

According to Sawyer Merritt, Canada has agreed to allow entry of 49,000 Chinese electric vehicles (EVs) annually, with a significant tariff reduction from nearly 100% to 6.1% for these imports (source: Sawyer Merritt, Twitter). This policy move is expected to accelerate the adoption of AI-powered EV technologies and smart vehicle systems, as Chinese manufacturers are global leaders in integrating advanced AI for autonomous driving, predictive maintenance, and connected car services. The agreement presents substantial opportunities for Canadian AI startups and technology providers to collaborate with Chinese OEMs on data analytics, smart infrastructure, and local AI customization, while creating competitive pressure for North American automakers to advance their own AI innovation in EVs.

According to The Rundown AI, Wikipedia has signed new data access agreements with major technology companies such as Amazon and Meta, signaling a growing trend of collaboration between open knowledge platforms and Big Tech to enhance AI training datasets (source: The Rundown AI). Additionally, News Corp has begun integrating AI tools into its newsrooms to automate content generation and streamline editorial processes, representing a significant shift in digital journalism and offering new business opportunities for AI solution providers (source: The Rundown AI). These developments highlight the increasing role of artificial intelligence in media content creation and information management, with implications for improved efficiency and innovation in the AI and publishing industries.

According to Sawyer Merritt, the integration of advanced AI-driven robotics into manufacturing processes is significantly boosting operational efficiency and reducing production costs in 2026 (source: https://t.co/e5MnaYSeLs). Companies across automotive, electronics, and consumer goods sectors are rapidly adopting these AI-powered solutions to streamline workflows, automate quality control, and enhance supply chain management. This trend is creating substantial business opportunities for AI solution providers, robotics manufacturers, and enterprises seeking to modernize their factories with intelligent automation. Verified industry data highlights that businesses leveraging AI and robotics are experiencing faster time-to-market and improved product consistency, driving competitiveness in a rapidly evolving market (source: Sawyer Merritt).

According to ElevenLabs (@elevenlabsio), the upcoming ElevenLabs Summit in London on February 11, 2026, will feature Jonathan Abrahamson, Chief Product and Digital Officer at Deutsche Telekom, as a keynote speaker. Abrahamson leads Deutsche Telekom’s digital, product, and AI strategy across Europe, and his participation signals a focus on transformative AI applications within the telecommunications sector. The Summit aims to highlight practical AI innovations and strategic business opportunities, especially in how large enterprises leverage artificial intelligence for digital transformation and competitive advantage (source: @elevenlabsio, Jan 16, 2026).

According to The Rundown AI, today's leading AI industry developments include the departure of Thinking Machines' co-founders to OpenAI, signaling intensified talent competition among AI labs (source: The Rundown AI). Cursor has introduced a browser enhanced with AI agents, aiming to streamline digital workflows by automating web tasks and research (source: The Rundown AI). Claude Cowork now allows users to run complex media tasks with Anthropic's Claude AI, expanding practical AI applications for media professionals (source: The Rundown AI). Furthermore, OpenAI is investing in a Neuralink competitor founded by Sam Altman, highlighting growing business opportunities in AI-powered brain-computer interfaces (source: The Rundown AI). Additional launches of new AI tools and community workflows point to rapid innovation and evolving market opportunities for businesses adopting AI solutions.

According to Mootion_AI, their latest demonstration showcases the power of AI-driven real-time 3D animation generation, as seen in their YouTube video (source: https://www.youtube.com/watch?v=9grOvN6Z-Ek, Mootion_AI on Twitter). This technology enables creators to produce high-quality animated content rapidly without traditional motion capture or manual animation, significantly reducing production time and cost. The business impact is substantial, offering new opportunities for game developers, advertising agencies, and virtual production studios to streamline workflows and scale content generation using AI. The trend toward AI-powered animation highlights the growing demand for automation and efficiency in digital media industries (source: Mootion_AI on Twitter).

According to Mootion (@Mootion_AI), a user-generated video powered by MootionAI explores the real influence of Cleopatra, emphasizing her intellect and charisma over beauty, as confirmed by ancient sources. This AI-driven video production demonstrates how generative AI can enable content creators to present nuanced historical narratives, challenging popular misconceptions and enhancing educational content. The application of AI in historical analysis not only streamlines video creation but also offers new business opportunities for educators, museums, and media companies seeking to produce engaging, research-backed content at scale (source: Mootion_AI, Jan 16, 2026).

According to @godofprompt, there is a significant gap between publicly available AI documentation and the technical depth found in original research papers. Google's official AI guides are designed to be simple, accessible, and beginner-friendly, making them suitable for a broad audience interested in artificial intelligence fundamentals. In contrast, DeepMind's research papers are complex, rigorous, and targeted at expert practitioners, often embedding advanced methodologies and critical insights within dense technical language. This disparity presents both a challenge and an opportunity for AI entrepreneurs and professionals: those who can decipher and apply the patterns from these technical papers may gain a competitive advantage in developing innovative AI applications and business models. Source: @godofprompt (https://twitter.com/godofprompt/status/2012080177367654856)

According to @godofprompt, Google's official prompting guide is primarily for marketing purposes, while internal researchers at DeepMind use entirely different, undocumented techniques for AI prompting. After analyzing over 500 research papers, @godofprompt identified 10 proprietary prompting patterns employed by DeepMind, with one specific technique (Pattern #4) increasing model accuracy from 73% to 94% (source: https://x.com/godofprompt/status/2012079990935019731). These advanced prompting methods highlight significant opportunities for AI companies to enhance model performance and competitive advantage by leveraging cutting-edge internal research. Understanding and adopting these internal prompting strategies can drive innovation and practical AI applications in NLP, enterprise automation, and generative AI, presenting substantial business value for organizations aiming to stay at the forefront of AI development.

According to God of Prompt on Twitter, evidence-grounded generation is emerging as a critical pattern in AI, where each claim is explicitly tagged with its source, and inferences are accompanied by stated reasoning and confidence scores (source: @godofprompt, Jan 16, 2026). This approach mandates that AI-generated outputs use verifiable examples and traceable evidence, significantly improving transparency and trust in generative AI systems. For enterprises and developers, adopting explicit evidence tagging can address regulatory requirements, reduce risks of misinformation, and enhance user confidence—creating clear business opportunities in regulated industries and applications demanding high accountability.

According to FoxNewsAI, the Trump administration has relaunched a key industry council focused on artificial intelligence after it was previously shut down by the Biden administration (source: Fox News, Jan 15, 2026). This move signals renewed federal support for strategic AI development, aiming to boost U.S. competitiveness in machine learning, automation, and emerging AI sectors. The council is expected to foster public-private partnerships and accelerate AI adoption across industries, presenting significant business opportunities for technology companies and startups.

According to Anthropic (@AnthropicAI), recent findings from their 2026 Economic Index Primitives study reveal that AI's impact on the global workforce is highly uneven, being concentrated in specific countries and occupations with varying degrees of effect. The report highlights that advanced economies and knowledge-intensive sectors are experiencing the most pronounced changes, while other regions and roles see far less disruption. For AI industry stakeholders, this presents targeted business opportunities in sectors and markets where adoption is accelerating, particularly in fields like software engineering, legal work, and financial analysis. As AI continues to shape labor markets, companies can leverage these insights to prioritize investment and deployment strategies in high-impact geographies and professions. (Source: Anthropic Economic Index Primitives, https://www.anthropic.com/research/economic-index-primitives)