The idea is born
McCulloch & Pitts model the first artificial neuron. Turing publishes 'Computing Machinery and Intelligence' in 1950. In 1956, the Dartmouth Workshop names the field: Artificial Intelligence.
Published July 15, 2026 · by Emmanuel Abou Chabke
Artificial intelligence is not a 2022 invention. It's a 70-year story of ambition, disappointment, and — finally — breakthrough. Here is the clearest timeline we teach inside Market Me Global, plus what actually changed in daily life once AI escaped the lab.
McCulloch & Pitts model the first artificial neuron. Turing publishes 'Computing Machinery and Intelligence' in 1950. In 1956, the Dartmouth Workshop names the field: Artificial Intelligence.
ELIZA (1966) fakes a therapist. MYCIN diagnoses infections. Rule-based expert systems dominate — powerful in narrow domains, useless outside them. Two 'AI winters' follow when the hype outruns results.
Deep Blue beats Kasparov (1997). Google Translate ships statistical machine translation (2006). IBM Watson wins Jeopardy! (2011). Siri launches the same year. AI moves from labs to pockets.
AlexNet (2012) crushes ImageNet with GPUs. AlphaGo beats Lee Sedol (2016). The Transformer paper 'Attention Is All You Need' drops in 2017 — the architecture behind every modern LLM. GPT-2 and GPT-3 show scale is a feature, not a bug.
ChatGPT hits 100M users in two months (2022 – the fastest adoption in software history). Midjourney, Claude, Gemini, Sora and open-weight models (Llama, Mistral, Qwen) follow. By 2026, AI runs locally on NPU laptops and powers most marketing stacks.
In 2017, eight researchers at Google published Attention Is All You Need. The transformer architecture they described replaced recurrence with self-attention and turned out to scale almost linearly with data and compute. Every modern LLM — GPT-4, Claude, Gemini, Llama, Mistral, Qwen — is a descendant of that one paper.
Five years later, ChatGPT put a transformer behind a chat box. Adoption went from zero to 100 million users in two months — the fastest consumer software rollout ever recorded. That is the moment AI stopped being a research topic and became a product category.
The interesting shift is not that AI can write essays. It's that AI is now a silent layer under most of the software you already use. Six domains where the change is impossible to miss:
Writing, coding, design, research, analysis and customer support all now include an AI collaborator by default. A single marketer can ship what used to take a team of five.
Anyone with internet access has a personal tutor available 24/7 that adapts to their level, language and pace. Education is being unbundled from institutions.
Image, video, music and 3D generation collapsed the gap between idea and execution. Taste and direction matter more than technical craft.
AlphaFold mapped 200M+ protein structures. AI reads X-rays, drafts clinical notes, and accelerates drug discovery timelines from years to months.
Personalised recommendations, dynamic pricing, ad targeting, fraud detection and 24/7 AI support agents drive the modern e-commerce economy.
Navigation, translation, spam filters, photo enhancement, smart replies and voice assistants. Most people already interact with 20+ AI systems every day.
Every previous platform shift — desktop, web, mobile, social — rewarded the people who learned it early. AI is the same shift, compressed into 24 months instead of a decade. The marketers who learn to think with AI now will spend the rest of the decade at the top of the curve.
That is the entire premise of Market Me Global: portable prompting skills, real workflows, and lifetime access so you keep pace as models keep evolving.
The term 'artificial intelligence' was coined at the 1956 Dartmouth Workshop, led by John McCarthy, Marvin Minsky, Claude Shannon and Nathaniel Rochester. The underlying ideas — neural networks (McCulloch & Pitts, 1943) and the Turing test (1950) — predate the term by more than a decade.
Old AI (1950s–2000s) relied on hand-coded rules and expert systems that were brittle and narrow. Modern AI is built on deep learning and transformers (2017 onward), which learn patterns from massive datasets. The 2022 launch of ChatGPT made that capability usable by anyone with a browser.
AI now powers search, translation, navigation, recommendations, spam filters, photo editing, medical imaging, code completion, customer support, ad targeting, fraud detection and creative work. Most people use dozens of AI systems every day without noticing.
AI replaces tasks, not roles. Marketers who learn to direct AI — briefs, prompts, iteration, judgment — become 5–10x more productive. Marketers who ignore it are the ones at risk. That is exactly the gap the Market Me Global chapters close.
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