The AI-Driven Organization - “ADOs” (2026 and Beyond)

Colleagues, Grand View Research reports “The global artificial intelligence (AI) market is projected to grow from roughly $391 billion in 2025 to over $3.49 trillion by 2033, expanding at a high CAGR of 30.6% from 2026 to 2033. Rapid enterprise adoption of generative and agentic AI, alongside increased infrastructure investment, is driving this explosive growth as the industry transitions to core business infrastructure.” Most experts agree that AI is rapidly becoming the new electricity for the 21st century - pervasive, affordable, dependable (somewhat) predictable … despite continuous development and innovation. 

We anticipate a coming AI Divide of organizations that adopt the technology which fall into one of two categories: Legacy AI Adopters and Born AI entitles. Let us examine a brief profile of these distinct genres that span a wide array of industries and business processes.

Legacy AI Adopters

• Primary Goal: Cost Reduction (OPEX)

• Talent Mix: Domain Experts + AI Consultants

• Decision Speed: Days or Weeks (Requires Human sign-off)

• Risk Profile: High "Trust Paradox" (Fear of AI)

Born AI Organizations

• Primary Goal: Value Creation and Scalability

• Talent Mix: Full-Stack AI Engineers + Prompt Architects

• Decision Speed: Seconds (Human intervenes by exception)

• Risk Profile: High "Iteration Velocity" (Fail fast)

A Global, Generational Shift

Our conclusion is that “ADOs” - AI-Driven Organizations will dominate in the area of new business formation from approximately 2025 and onward. One leading indicator is the allocation of venture capital worldwide. Moreover, look no farther than the higher education “majors” of nextgen graduates from universities with strong STEM programs.

Career Development

The need for continuous learning for AI leaders in both Legacy and Born AI entities relies heavily on ongoing Career Development. Below are several of our top picks for professional certification and training that can boost your income by 5%-10%:

• Agentic AI with LangChain and LangGraph

• AI for Everyone

• AI Foundations for Everyone Specialization (IBM)

• Apply Generative Adversarial Networks (GANs)

• AWS Certified AI Practitioner (AIF-C01)

• Data Structures, Algorithms, and Deep Learning Optimization

• Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT

• Deep Learning Specialization

• Deep Learning with TensorFlow & PyTorch

• Deep Learning with Tensorflow, Keras and PyTorch 

• Deep Learning Specialization

• Deep Learning with PyTorch

• Generative AI for Cybersecurity

• Generative AI: Introduction and Applications

• Generative Deep Learning with TensorFlow

• IBM AI Developer Professional Certificate

• IBM AI Product Manager Professional Certificate

• Machine Learning Specialization

• Machine Learning with Python: from Linear Models to Deep Learning

• Machine Vision, GANs, and Deep Reinforcement Learning

• Neural Networks and Deep Learning

• Structuring Deep Learning Projects

• TensorFlow Developer Professional Certificate

Enroll today. Teams and executives are welcome.

Much success in your AI career journey, AI Academy (kindly share with colleagues & friends) 

The AI Sentinel (May 2026)

Colleagues, our goal is to provide AI professionals with up-to-date and actionable information to advance your career and income growth. According to Mordor Research AI is estimated to expand at a 34.8% CAGR, with the market value hitting $126.66 billion by 2031.

Product Launches & Innovations: 

• BMW "Neue Klasse" Qwen-Powered AI Cockpit (BMW - May - Munich, Germany/Beijing, China)

• DeepSeek-V4 - Frontier Open-Weight Model (DeepSeek - May-June - Hangzhou, China)

• NVIDIA Jetson T4000 - Blackwell for Edge/Robotics (NVIDIA - May - Santa Clara, California)

• Oracle AI Data Platform - Oracle AI World (Oracle - May - Austin, TX / Las Vegas, Nevada)

• Snowflake "Horizon" Agentic Orchestrator - Snowflake Summit (Snowflake - June 1-4, San Francisco, California)

Featured Resources:

• Action items for AI decision makers in 2026 (MIT Sloan - 2026)

• Four futures of AI: Will you shape the future of AI, or will it shape you? (EY - undated)

• Invest in the workforce for the AI age: A blueprint for scale, skills, and responsible growth (World Economic Forum - January 2026)

• National Policy Framework for Artificial Intelligence (The White House - March 2026)

• The 2026 AI Index Report (Stanford HAI - 2026)

Events:

• Google I/O 2026 (Google - May 19–20 - Mountain View, California)

• Microsoft Build 2026 (Microsoft - June 2–3 - San Francisco, California)

• COMPUTEX Taipei 2026 (Technavio - June 2–5, 2026 - Taipei City, Taiwan)

• CVPR 2026 - Conference on Computer Vision and Pattern Recognition (Grand View Research - June 3-7 - Denver, Colorado)

• London Tech Week 2026 (Gartner - June 8–12 - London, UK)

Career Development - Boost Your Income by 5%-10%:

• Agentic AI with LangChain and LangGraph

• AI for Everyone

• AI Foundations for Everyone Specialization (IBM)

• Apply Generative Adversarial Networks (GANs)

• AWS Certified AI Practitioner (AIF-C01)

• Data Structures, Algorithms, and Deep Learning Optimization

• Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT

• Deep Learning Specialization

• Deep Learning with TensorFlow & PyTorch

• Deep Learning with Tensorflow, Keras and PyTorch 

• Deep Learning Specialization

• Deep Learning with PyTorch

• Generative AI for Cybersecurity

• Generative AI: Introduction and Applications

• Generative Deep Learning with TensorFlow

• IBM AI Developer Professional Certificate

• IBM AI Product Manager Professional Certificate

• Machine Learning Specialization

• Machine Learning with Python: from Linear Models to Deep Learning

• Machine Vision, GANs, and Deep Reinforcement Learning

• Neural Networks and Deep Learning

• Structuring Deep Learning Projects

• TensorFlow Developer Professional Certificate

Enroll today (teams and execs are welcome).

Much success in your Artificial Intelligence career journey, AI Academy (please subscribe and share with colleagues)

“ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Amazon Audible & Kindle book)

Friends, the “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil.  All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII  - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!

Order today:

Audible (https://tinyurl.com/3pswj5sx) 

Kindle (https://www.amazon.com/dp/B0CG536WDN)   

3 Book Series: “Transformative Innovation”: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Thank you for dropping a brief review on this book’s Audible or Kindle page.

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

The Machine Learning Specialization

Colleagues, the Machine Learning Specialization taught by Andrew Ng is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. Break into AI with the Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program. Gain high demand skills in Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees and Recommender Systems. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression. Build and train a neural network with TensorFlow to perform multi-class classification. Apply best practices for machine learning development so that your models generalize to data and tasks in the real world. Build and use decision trees and tree ensemble methods, including random forests and boosted trees. Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. Build recommender systems with a collaborative filtering approach and a content-based deep learning method. Build a deep reinforcement learning model. Skill-based lessons include: 1) Supervised Machine Learning: Regression and Classification, 2) Advanced Learning Algorithms and 3) Unsupervised Learning, Recommenders, Reinforcement Learning.

Enroll today (teams & execs welcome): https://tinyurl.com/b9k2ebht 

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)

Much career success, AI Academy (share with your team and colleagues)

Machine Learning - Discover the Top 3 Career & Earnings Growth Strategies for 2026

Dev Colleagues, on average a Machine Learning Engineer earns $167k USD in the US according to Glassdoor. The first strategy is to Get Certified: A high quality credential from a reputable vendor or professional association can boost your income by 10%+. Topping our list is the popular Supervised Machine Learning: Regression and Classification program with some 814k students enrolled. Next is the Structuring Machine Learning Projects (481k enrollees). Third is the Convolutional Neural Networks program from DeepLearning.AI (526k enrolled). Second, Get Published: Write a series of posts or articles on Best Practices, Industry Trends and Emerging Technologies, and publish on DevPlan’s GCP portal, Medium, LinkedIn Articles, Reddit or Technology.org. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on expertise. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on prowess. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. And third, Get Connected: Professional networking and referrals are the most effective method for landing your dream job - within your current employer or at a new company (rather than simply applying for jobs online and standing in the Human Resources queue with the masses). Join and participate in 2-3 high profile groups or professional associations. Hugging Face is an excellent starting place. Consider the Machine Learning Society on LinkedIn. And explore Reddit’s Machine Learning sub-Reddit (2.9m members)

Get started today by enrolling in one or more training-certification programs:

• Supervised Machine Learning: Regression and Classification 

• Structuring Machine Learning Projects 

• Convolutional Neural Networks 

Success awaits you! Lawrence E. Wilson - AI Academy (kindly subscribe and share with colleagues)