Technology Trends and Predictions

🚀 McKinsey & Company Tech Trends 2025: What Business Leaders Must Know Now. The future is arriving faster than expected—and AI is at the core of it. McKinsey’s Technology Trends Outlook 2025 is a must-read for executives, founders, and technologists looking to stay ahead. The report evaluates 15 breakthrough technologies based on adoption, investment, talent availability, and real-world momentum. Here are the key insights and strategic takeaways 👇 🔮 1. #AI is the Central Force AI is not just one of many trends—it’s a foundational technology driving others. From developer productivity to robotics, AI is now integrated across industries and functions. Use cases have matured beyond experimentation into real-world value creation. 🧠 2. Generative & Agentic AI: From Tools to Teammates Generative AI continues to surge, but Agentic AI —tools that can reason and take action autonomously—is emerging as the next frontier. These systems will move from responding to prompts to completing tasks, triggering a shift in business automation. ⚙️ 3. Next-Gen Software Development AI-assisted development environments are accelerating time-to-code and shifting how engineering teams function. Companies investing here are cutting product cycles by up to 30%, according to McKinsey insights. 📡 4. Advanced Connectivity Fuels Edge Innovation With maturing 5G, low-Earth-orbit satellites, and edge computing, advanced connectivity is unlocking real-time applications across manufacturing, logistics, and smart infrastructure. This isn't future-talk—deployment is accelerating now. 🔬 5. Applied AI in Real Operations AI-powered vision systems, robotics, and simulation tools are already optimizing everything from warehousing to agriculture. What’s new? These tools are being used at scale, not just in pilot programs. 📊 6. Trust Architecture & Responsible AI As AI grows more autonomous, McKinsey emphasizes trust architecture—governance, risk controls, and ethical design must evolve in tandem. Regulation is coming fast. Companies that prepare early will lead with confidence. 🌱 7. Sustainable Tech: From Buzzword to Bottom Line Tech is finally aligning with sustainability goals. Energy-efficient compute, circular hardware design, and green cloud are becoming investment priorities, not side projects. 💡 Leadership Takeaways ✅ Embed AI as a horizontal strategy, not a vertical investment ✅ Invest in next-gen developer tools to stay agile ✅ Build or upskill talent to lead agentic workflows ✅ Establish clear AI governance frameworks early ✅ Use advanced connectivity to optimize operations ✅ Don’t overlook trust, ethics, and sustainability—they are competitive differentiators. #McKinsey #AI #TechTrends2025 #AgenticAI #DigitalTransformation #FutureOfWork #TrustInTech #GenerativeAI #Sustainability #AILeadership #TechStrategy #BusinessInnovation 🤖📈🌐💼

Bessemer Venture Partners just released their State of the Cloud 2024 report. Here are the five top AI trends driving the most significant changes across technology and their predictions for what to expect by 2030. [1] Big Tech's new battle-of-the-century is for control of foundation models. • 90% of private GenAI funding came from corporate VCs, like Microsoft, Google, etc. 🔮 Prediction: The winners will reign supreme within cloud & compute markets. [2] AI is turning us into 10X developers. • Code copilots were widely adopted in 2023 and we're already seeing developments that suggest end-to-end automation could be arriving soon. 🔮 Prediction: Software developers will look more like software reviewers. Cost of development will fall. The average age of tech founders will fall. [3] Multimodal models (like voice, image, and video) and AI agents will transform human relationships with software. • Giving AI the equivalent of vision, hearing, and speech, opens the door for AI to impact work that requires these senses. 🔮 Prediction: In the next five years, Voice AI apps alone will unlock $10B of new software TAM. [4] Vertical AI could dwarf legacy vertical SaaS with new applications and business models. • Within every industry vertical, repetitive language tasks represent a significant share of activity. The Business & Professional Services industry is 10X the size of the software industry and is an example of this. 🔮 Prediction: Vertical AI's market cap will be at least 10X the size of legacy Vertical SaaS. The first Vertical AI IPO will occur in the next three years. [5] AI brings Consumer Cloud back from the dead. • Consumer cloud unicorns have historically been built after major tech shifts (i.g. mobile). Last month, OpenAI had more site visits than Reddit (2.5B vs 2.4B) 🔮 Prediction: By 2030 the top three businesses dominating the Attention Economy will be based on AI-generated content. Great takes from Lindsey Li and Bessemer team. Link to full report in comments.

𝙏𝙤𝙥 𝙏𝙚𝙘𝙝 𝙏𝙧𝙚𝙣𝙙𝙨 𝙖𝙣𝙙 𝙋𝙧𝙚𝙙𝙞𝙘𝙩𝙞𝙤𝙣𝙨 𝙛𝙤𝙧 𝟮𝟬𝟮𝟰 Here are some key trends and predictions that are expected to shape the tech industry in the coming year: 1. Generative AI Search Enhancements: Despite a relatively subdued impact in 2023, AI is anticipated to play a more influential role in search ad spend, product searches, and ad performance in 2024. 2. Emergence of AI App Stores: As the number of generative AI users surpasses 100 million in the US, the market is ripe for the proliferation of AI app stores. Major chatbot platforms, including OpenAI, Meta, and ByteDance, are expected to introduce customized versions and tools that enhance the AI experience. 3. Immersive Media Advances: The release of Meta’s Quest 3 and the impending launch of Apple’s Vision Pro signify significant steps toward making VR, AR, and mixed reality more accessible. 4. Connected Cars as Media Hubs: With over two-thirds of US drivers expected to use connected cars by 2025, the battle for data, media dominance, and ad presence will intensify. Apple's CarPlay and Google's Android Auto are anticipated to continue dominating, with embedded systems likely coalescing around Android Automotive due to its open-source nature. 5. Advertising's Sustainability Goals: In 2024, legal mandates and increased consumer scrutiny are expected to make carbon-efficient advertising a priority. 6. Evolution of IT Security Models: In response to the evolving hybrid work environment, organizations are expected to adopt a zero-trust model for enhanced data security. Generative AI is also highlighted for its potential to strengthen data security by automating the monitoring of data flow and flagging anomalies. 7. Quantum Progress but Not Quantum Leaps: The adoption of post-quantum cryptography (PQC) is expected to increase in 2024 as a software-based approach to protect data from quantum attacks. Quantum networking, enabling scalable quantum solutions, will see significant research and investment by governments and financial services. 8. Continued Rise of Social Engineering Attacks: Identity-based attacks, particularly through social engineering, will continue to be a prevalent threat in 2024. Businesses are urged to strengthen identity protection to mitigate the risk of breaches and compromised credentials. 9. AI Advancements Driving Energy Usage: AI advancements are expected to contribute to higher energy consumption. However, companies are likely to adopt smaller AI models tailored to specific use cases to reduce energy costs. The emergence of energy networking, combining software-defined networking and direct-current microgrids, is predicted to enhance energy efficiency by optimizing power usage, distribution, and storage. As we enter 2024, these trends showcase the dynamic nature of the tech industry and its continuous evolution towards a more interconnected and technologically advanced future. Stay tuned for exciting developments in the coming year!

Top 6 AI Predictions for 2024 from IBM 𝟭. 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 Tailored generative AI applications are becoming vital for businesses, offering personalized solutions and enhancing customer interactions. 𝟮. 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 The rise of open-source AI, like IBM's collaboration with NASA, democratizes AI technology, notably in climate research. 𝟯. 𝗔𝗣𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 APIs are simplifying AI application development, boosting productivity in various sectors. 𝟰. 𝗔𝗜 𝗮𝘀 𝗮 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝘆 Countries are increasingly recognizing AI's strategic importance, leading to significant advancements and regulations like the EU AI Act. 𝟱. 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 The integration of text, speech, and images is offering contextually richer AI interactions. 𝟲. 𝗔𝗜 𝗦𝗮𝗳𝗲𝘁𝘆 𝗮𝗻𝗱 𝗘𝘁𝗵𝗶𝗰𝘀 The focus on AI ethics grows, with alliances like the one between IBM and Meta fostering responsible AI innovation. These trends are more than predictions; they're a roadmap. We are collaborating with customers to leverage AI's potential in creating a more efficient, innovative, and inclusive future.

Top 5 AI Trends to Watch in 2024 As 2024 unfolds, the AI landscape is poised for pivotal advancements. Here are my top 5 predictions, blending various industry insights: The Emergence of AI-Generated Video and Multimodal AI Models: This year, expect AI video models to mature into sophisticated products, paralleling the evolution of text and image models. Additionally, multimodal AI models capable of processing text, images, audio, and video will become more intuitive and commonplace, led by advancements in models like GPT-4. AI Expertise Becomes a Core Competency in the Job Market: With AI's expanding influence, having AI skills will be as essential as traditional tools like Excel. Morgan Stanley predicts AI's impact on 40% of the workforce, and employers are increasingly seeking AI-qualified talent. Advancements in AI for Mobile Technology and Specialized Models: 2024 will witness significant progress in AI applications for smartphones and the rise of smaller, more specialized AI models like Microsoft's PHI-2. These developments will make AI more versatile and accessible across various industries. Open Source AI Gains Prominence Over Closed Models: Open source AI is set to surpass closed models in popularity and innovation. Companies like Meta and Huggingface are leading this shift, democratizing access to AI technology. Data Quality Takes Center Stage: As concerns around copyright and training materials increase, the focus on the quality of data used to train AI models will become more crucial than ever. Ensuring high-quality, ethically sourced data will be a key consideration in AI development. As we step into 2024, let's look forward to a year rich in AI-driven innovation and transformation. Happy New Year, and here’s to a trailblazing year ahead in the world of AI!

Based on current trends, I'd like to make 10 predictions about where #BigData, #DataScience, and #ArtificialIntelligence are heading in 2024. 1. 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞 AI will overlay reality with generated/ predicted layers and even create alternative realities in real time due to massive improvements in AI, AR/XR, and hardware, thus finally leaving the uncanny valley! Excited for Apple's Vision Pro headset!   2. Data 𝐟𝐚𝐛𝐫𝐢𝐜 technologies will continue to evolve and be adopted, replacing less practical and more rigid data warehousing solutions. 3. AI 𝐖𝐞𝐚𝐩𝐨𝐧𝐬 and AI-enabled crime will be newsworthy in 2024 such as high-profile attacks leveraging geopolitical events and major happenings like the 2024 US elections, as well as AI-enabled CaaS (Cybercrime as a service) to sabotage and defraud businesses and individuals. As a response, new cybersecurity professionals specializing in AI threats will emerge, and ZeroTrust will become the norm. 4. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 #AI will keep pressing on with 3d scenes and entire movies, even with sound, created with text. Issues like intellectual property and bias will continue to tarnish the technology's reputation. And sadly, misinformation will be rampant. 5. 𝐔𝐗 for AI will become part of the discussion in 2024 as AI is embedded into more consumer products. 6. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 Intelligence. In 2024, adopting more flexible data warehouse technologies and greater emphasis on observability will naturally lead to a more real-time augmented analytics view of business operations. Changes in mindsets surrounding data will make executives more comfortable with a more flexible, nuanced, multi-layered, continuous view, especially when AI can find patterns that explain changes on a granular level. 7. 𝐃𝐈𝐘 𝐀𝐈 (name of my upcoming book!) We all saw how 2022-23 unleashed early-adopter aficionado types (many of whom transitioned from crypto). However, 2024 will be the year that a broader group of enthusiasts take AI into their own hands using cheap consumer hardware. 8. 𝐇𝐮𝐦𝐚𝐧-𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 interface. Models trained on neural activity will make it possible to automate many tasks with just the thought of performing it, from walking with an exoskeleton to generating artwork with a mental image. 9. 𝐐𝐀 in AI development is a natural extension of #ResponsibleAI as the technology matures because best practices are not strictly about ethics, but they are about ensuring quality and everything you associate with quality. In 2024, a more rigorous approach will reach the field. 10. 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲. As global conflict drags on, creating volatility in energy markets, data centers and the companies that rely on them will push for more sustainable solutions thanks to the availability of low-cost renewable energy and ever-more efficient computing technologies Regarding technology, I'm excited about what's in store for 2024. And I wish you all a New Year filled with joy! 😊 🎉 

🔮 2024 Predictions: Software Development 💻 Experts forecast a 15-20% productivity rise from AI and genAI tools like TuringBots, alongside a growing focus on no-code solutions due to advancements in generative AI. Drawing insights from expert analyses, including Forrester's comprehensive predictions and other authoritative sources in the field, we dive into the pivotal trends set to redefine software development in the coming year: 1️⃣ Infrastructure and Development Pipelines: ✅ Cloud-Native Technologies and Kubernetes: Enhanced scalability and efficiency in software deployment through advanced cloud-native solutions and Kubernetes' leadership in container orchestration. ✅ Backstage Framework: Expected to become the go-to framework for developer portals, centralizing resource management. 2️⃣ Automation and Solution Improvements: ✅ AI's Impact and TuringBots: AI, particularly genAI, and TuringBots predicted to significantly boost software development productivity. ✅ Python and React Native: Python's dominance continues in AI/ML, while React Native leads in efficient cross-platform app development. ✅ No-Code Software: Widespread adoption of no-code platforms, empowering citizen developers and simplifying tech solution creation. 3️⃣ Cybersecurity and Data Security: ✅ Resilience and Cybersecurity: Strong focus on integrating robust cybersecurity measures like CloudOps and DevSecOps into the software development lifecycle. 4️⃣ Industry-Specific Digital Transformations: ✅ IoT, Fintech, Healthcare, Retail: Digital transformations in these sectors are expected to accelerate, leveraging software development innovations. ✅ Outsourcing and DevSecOps: Growing trend towards outsourcing and embedding security early in the development process. 5️⃣ Emerging Technology Trends and Innovations: ✅ AI and ML Tools: Increased adoption of Python and AI/ML tools, with a mindful approach towards security and trust. ✅ Professional Demand and Adoption: Rising professional demand for no-code technologies due to their immediacy in solving professional needs. ✅ WordPress and No-Code Platforms: Continued influence of WordPress and other no-code platforms in democratizing web development and e-commerce. As we approach 2024, the surge in AI and no-code solutions in software development signals a crucial shift. For businesses and developers, this means prioritizing high-quality data collection and ethical data practices to excel in this evolving landscape. Nimble - creating a world in which external data is instantly accessible to anyone in any industry #bigdata #webscraping #artificialintelligence

The Future of AI in Business: 5 Emerging Trends to Watch AI is continuously evolving with new trends that have the potential to significantly impact the business world and consumers. Here are some emerging AI trends gaining traction. 1️⃣ Explainable AI (XAI) As AI becomes more complex, the need for transparency grows. Explainable AI makes AI decisions more interpretable, ensuring businesses and customers trust the outcomes. 🏦 Financial services example A financial leader used XAI to decide on an investment strategy. The AI analyzed trends, data, and risks, recommending a diversified portfolio with clear explanations of returns, risks, and assumptions. This allowed the leader to confidently present the strategy to the board, securing approval and driving growth. __________________________ 2️⃣ AI in Hyper-Personalized Marketing AI is moving beyond basic personalization to create hyper-personalized marketing experiences. By analyzing real-time data, AI tailors content, offers, and interactions to individual preferences at an unprecedented level. 🏥 Healthcare example Healthcare providers using AI to send personalized health tips and medication reminders based on individual patient data, improving patient engagement and adherence to treatment plans. __________________________ 3️⃣ Federated Learning Federated learning allows AI models to be trained across decentralized devices without sharing raw data. This trend is significant for privacy and data security, particularly in industries handling sensitive information. 🛒 Retail example Retailers using federated learning to analyze customer shopping behavior across locations without sharing personal data, enabling personalized recommendations and inventory optimization. __________________________ 4️⃣ Agentive AI Agentive AI, or AI agents, are autonomous systems that perform tasks on behalf of humans. These AI agents handle complex tasks, learn from interactions, and make decisions, freeing up human workers for higher-value activities. 🏭 Manufacturing example Manufacturing plants using AI agents to monitor equipment health, predict maintenance needs, and autonomously manage supply chain logistics, enhancing efficiency and reducing downtime. __________________________ 5️⃣ AI-Driven Business Process Automation AI-driven business process automation involves AI systems that can understand and improve business processes over time. This leads to more efficient operations, cost savings, and improved agility. 🎥 Media and entertainment example Media companies using AI to automate content distribution, optimize ad placements, and manage subscriber data, leading to more targeted marketing efforts and enhanced viewer experiences. __________________________ #AI #Data #ArtificialIntelligence #EmergingTrends #FutureOfAI #ExplainableAI #FederatedLearning #AgentiveAI #BusinessAutomation #HealthcareAI #FinancialAI #RetailAI #ManufacturingAI #MediaAI #Innovation

One of our most anticipated reports each year is out—a comprehensive look at the most significant tech trends unfolding today, from agentic AI to the future of mobility to bioengineering. It provides CEOs with insights on how to embrace frontier technology that has the potential to transform industries and create new opportunities for growth.   Here’s my top-line take: —Equity investments rose in 10 out of 13 tech trends in 2024, with 7 of those trends recovering from declines in the previous year. This rebound signals growing confidence in emerging technologies. —We're witnessing a significant shift in autonomous systems going from pilots to practical applications. Systems like robots and digital agents, are not only executing tasks but also learning and adapting. Agentic AI saw a $1.1 billion equity investment in 2024 alone. —The interface between humans and machines is becoming more natural and intuitive. Advances in immersive training environments, haptic robotics, voice-driven copilots, and sensor-enabled wearables are making technology more responsive to human needs. —And, of course, the AI effect stands out as both a powerful trend in its own right and a foundational amplifier of others. AI is accelerating robotics training, advancing bioengineering discoveries, optimizing energy systems, and more. The sheer scale of investment in AI is staggering, with $124.3 billion in equity investment in 2024 alone.   Let's discuss: Which of these trends do you think will have the most significant impact on your industry? Share your thoughts in the comments below!   Big thanks to my colleagues Lareina Yee, Michael Chui, Roger Roberts, and Sven Smit.   #TechTrends #AI #Innovation #FutureOfWork #EmergingTech http://mck.co/techtrends

Join me in exploring the future as I share the top 10 key predictions set to transform the data landscape in 2024 and beyond. We are indeed fortunate to witness and participate in these revolutionary technological advancements. However, it's also our responsibility to ensure that these developments are guided by ethical principles and a commitment to humane applications, balancing innovation with integrity. 1️⃣ Data as the New Infinite Resource: Unlike oil, data is an infinite resource, with 328.77 million terabytes generated daily, increasing in both volume and value. 2️⃣ Quantum Computing's Rise: Quantum computing, led by companies like IBM and Google, is set to revolutionize data processing with its ability to perform complex calculations at unprecedented speeds. 3️⃣ AI & ML Transition from Buzzwords to Necessities: AI and ML are evolving from buzzwords into essential business tools, with a surge in corporate investments and applications in various industries. 4️⃣ Persistent Concerns Over Data Privacy: Data privacy remains a major concern, with increasing consumer awareness and the proliferation of regulations like GDPR and CCPA. 5️⃣ Cloud Storage Becomes Standard: The cloud storage market is rapidly growing, with an estimated value of 134 billion USD in 2024, becoming the primary method for data management. 6️⃣ Advancements in Predictive and Prescriptive Analytics: Predictive analytics is evolving into prescriptive analytics, offering businesses proactive decision-making tools by suggesting actions and predicting outcomes. 7️⃣ Augmented Analytics Enhancing Data Interaction: Augmented analytics, integrating AI and ML with advanced analytics, is transforming data processing and interpretation, exemplified by platforms like Tableau. 8️⃣ Real-Time Analytics Enhancing Customer Experience: Real-time analytics is revolutionizing industries like finance and healthcare by enabling instant decision-making and personalized services. 9️⃣ Natural Language Processing's Growing Impact: NLP is becoming increasingly significant in data processing, exemplified by technologies like ChatGPT and the Mayo Clinic’s Clinical Trial Matching System. 🔟 Data Storytelling as a Key Skill: Data storytelling is emerging as a crucial skill for data leaders, enabling them to present data in an accessible, understandable, and actionable manner. Given these predictions, an important question arises: How can organizations and individuals prepare to adapt to and leverage these trends effectively, while ensuring ethical considerations and data privacy are maintained? Join me in the comments. #Data #DataLeadership #CDO #AILeadership #DataLeadersNetwork