IBM Technology YouTube Stats
@ibmtechnology · Tech & AI · Updated Nov 6, 2026
Subscribers
1.8M
+20K in 17 days
Total views
143M
+3.5M in 17 days
Videos
1.8K
32.6 / month
Est. monthly earnings
$25K – $99K
RPM $3.9–$15.58
Avg. views (last 30)
65K
Typical views
47K
median per video
Avg. video length
18 min
Channel age
18 years
since May 27, 2008
IBM Technology channel overview
IBM Technology (@ibmtechnology) is a YouTube channel in the Tech & AI niche created in 2008. It has 1.8M subscribers and 143M total views across 1.8K videos, an average of 79K views per video over its lifetime.
Its last 30 uploads averaged 65K views, and a typical video (the median) gets 47K views. Over the last 12 months, IBM Technology published 381 videos (18% Shorts), and 37 of them (10%) reached at least 3× the channel's typical views.
Subscriber growth
Over the last 17 days, IBM Technology gained 20K subscribers and 3.5M views, about 208K views a day.
How much does IBM Technology make?
Returbe estimates IBM Technology's YouTube ad revenue at $25K – $99K per month. The estimate uses an RPM (revenue per 1,000 views, after YouTube's share) of $3.9 to $15.58, typically $7.79, based on the channel's niche, audience language and the share of its views coming from Shorts. At that rate, 1 million long-form views earn about $7.8K.
Ad revenue is only part of the picture: sponsorships, affiliate links, memberships and merch often pay more than ads. Learn how RPM varies by niche in how much YouTubers make per 1,000 views, or check any channel with the free monetization checker.
Upload schedule
IBM Technology publishes about 32.6 videos a month. Based on its last 100 uploads, its most common upload day is Friday (23% of uploads), usually around 11:00 UTC. The last video went out on Nov 6, 2026.
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IBM Technology's best outlier videos
An outlier is a video that beats the channel's own typical views. These are IBM Technology's biggest hits relative to its normal, the ideas its audience responded to most. What is an outlier video?
AI, Machine Learning, Deep Learning and Generative AI Explained3.8M views · Aug 5, 2024149.7× typical views
7 AI Terms You Need to Know: Agents, RAG, ASI & More1.4M views · Sep 1, 202553.9× typical views
Zero-Click Attacks: AI Agents and the Next Cybersecurity Challenge975K views · Sep 30, 202538.9× typical views
What Is Jev? The AI Model That Doesn't Generate Text1.3M views · Oct 1, 202626.5× typical views
Software as a Service (SaaS) Explained in 5 mins662K views · Apr 2, 202126.4× typical views
The Limits of AI: Generative AI, NLP, AGI, & What’s Next?582K views · Oct 7, 202523.2× typical views
Is RAG Still Needed? Choosing the Best Approach for LLMs1.1M views · Mar 9, 202622.5× typical views
AI Simplified: 6 Concepts You Need to Know About Modern AI1M views · Sep 6, 202621.3× typical views
Latest videos
11 of IBM Technology's last 30 uploads did at least 1.5× the channel's typical views.
AI fixes AI in MIT study, Mistral's open model & Google Genie 48.6K views · Nov 6, 20260.2× typical views
Are Vector Databases Still Needed? RAG, AI Agents & Search141K views · Nov 5, 20262.9× typical views
Did the Knicks’ phishing test go too far? Plus, hackers pose as IT in Teams10K views · Nov 4, 20260.2× typical views
Can Your AI Use Sensitive Data Safely? 5 Capabilities You Need38K views · Nov 3, 20260.8× typical views
Context-Aware Coding: Give AI Agents the Right Context51K views · Nov 2, 20261.1× typical views
What Is torch.compile? Dynamo, PyTorch & Faster AI Models Explained27K views · Nov 1, 20260.6× typical views
When Security Patches Leak6.3K views · Oct 31, 20260.9× typical views
AI Exposes Legacy Code5.6K views · Oct 30, 20260.8× typical views
AI exposes a major web security flaw, plus a new kind of voice model17K views · Oct 30, 20260.4× typical views
What Is Quantization? How AI Models Get Smaller & Faster223K views · Oct 29, 20264.7× typical views
The Tech & AI niche on YouTube
In the last 30 days, Returbe tracked 8.9K videos from 730 channels in this niche. 11.2% of them reached 3× their channel's typical views, and a typical long video got 7K views. Estimated RPM for the niche: $4 to $16.
Smaller channels breaking out in this niche right now: Memes Land (88K subs, best video 177.6×), Fun_Games (69K subs, best video 303.1×), Sprunki Land (36K subs, best video 81.1×), MR Mocha White (16K subs, best video 128.9×), Fun Universe (56K subs, best video 96.9×), Fun Games (74K subs, best video 257×).
Channels similar to IBM Technology
Jeff Su1.9M subscribers · 270K typical views
Shane Hummus1.7M subscribers · 19K typical views
AWS Developers1.7M subscribers · 3.9K typical views
Micode2M subscribers · 3.5M typical views
Sandeep Swadia1.7M subscribers · 552K typical views
Silicon Valley Girl1.6M subscribers · 110K typical views
Tech With Tim2.1M subscribers · 55K typical views
OpenAI2.1M subscribers · 16K typical views
codebasics1.6M subscribers · 46K typical views
Microsoft2.2M subscribers · 7.8K typical views
UFD Tech1.5M subscribers · 70K typical views
MeshyAI1.5M subscribers · 5.8K typical views
See every outlier from IBM Technology and its niche
Returbe tracks this channel daily: full video history, similar channels, and the videos breaking out in its niche this week.
Frequently asked questions
How many subscribers does IBM Technology have?
IBM Technology has 1.8M subscribers on YouTube and 143M total views across 1.8K videos (Returbe data, updated Nov 6, 2026).
How much does IBM Technology make on YouTube?
Returbe estimates IBM Technology's YouTube ad revenue at $25K – $99K per month, based on recent views and an RPM of about $3.9–$15.58 per 1,000 views for this niche and audience. Sponsorships, merch and memberships are not included.
How often does IBM Technology upload?
IBM Technology uploads about 32.6 videos a month, most often on Friday. The last upload was on Nov 6, 2026.
What is IBM Technology's best performing video?
"AI, Machine Learning, Deep Learning and Generative AI Explained" is IBM Technology's biggest outlier: 3.8M views, 149.7× the channel's typical views.
What channels are similar to IBM Technology?
Channels similar to IBM Technology include Jeff Su, Shane Hummus, AWS Developers, Micode, Sandeep Swadia.
Data from Returbe's index of YouTube channels, collected from public YouTube data. Earnings are estimates from views and RPM benchmarks, not figures from the channel. Returbe is not affiliated with IBM Technology or YouTube.
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