💼 LinkedIn makes $1.7B thanks to AI

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Friday’s top story: LinkedIn has made $1.7B from premium subscriptions, thanks to its suite of AI features.

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🌤️ This Morning on AI Tool Report

  1. 💼 LinkedIn makes $1.7B thanks to AI

  2. 🪙 AI2 Incubator raises $200M for AI startups

  3. 🪖 Intel to get $3.5B to make military AI chips

  4. ⬆️ UK AI industry boosted by £100M budget

  5. ⛈️ AI is making climate change worse, not better

Read Time: 5 minutes

FINANCE

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EMPLOYMENT

Our Report: Microsoft-owned LinkedIn revealed that it made $1.7B in revenue in 2023 from its premium subscriptions, following its increased adoption of AI-powered features to help job seekers land their dream job.

🔑 Key Points:

  • In 2023, LinkedIn introduced a suite of AI-powered features to boost premium subscription revenue to help premium members search, find, and apply for jobs.

  • These features include the ability to scan job postings and (based on a job seeker's resume) automatically determine if the job seeker might be a good fit.

  • Plus, they can help job seekers tweak their LinkedIn profiles to make them more appealing to recruiters and auto-generate messages to send to recruiters.

  • As a result, last year, the number of premium subscribers rose by 25%—making $1.7B in revenue—with data showing that 90% of subscribers found the AI features helpful.

🤨 Why you should care: LinkedIn's inclusion of AI comes at a pinnacle time, as uncertain economic times mean there are at least six candidates for every job, and job seekers are desperate to do whatever they can to find employment.

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STARTUPS

  • AI2 Incubator—a spin-off from the Allen Institute for AI—has obtained $200M worth of computation power (compute) to help startups develop their AI models.

  • Unnamed cloud providers and data centers donated “the biggest compute allocation available to startups” so startups can access computational power, through AI2.

  • Any company (of any size) that partners with the AI2 Incubator can get access to up to $1M in AI compute to help them differentiate and scale their AI models.

  • This comes after AI2 raised $30M last year to support AI startups, which has its seen spinoffs like Kitt.ai (acquired by Baidu) and Xnor.ai (acquired by Apple) raise over $200M, collectively.

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 Content creation

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“Using the PESO Model, create a [type of content] that is [paid], [earned], [shared], or [owned] to reach a wider [audience] and increase [engagement].

AI CHIP PRODUCTION
  • Intel—a leading US-based chipmaker—is set to receive $3.5B of funding from the US CHIPS Act to manufacture advanced AI chips, specifically for military and intelligence programs.

  • The $3.5B will be dispersed over the next three years and will position Intel as the leading producer of AI chips for the defense market, across the whole of the US.

  • The US CHIPS Act is a $39B funding pool aimed at incentivizing US-based chipmakers to set up manufacturing facilities to establish an AI chip manufacturing ecosystem in the US.

  • Over 600 AI chip companies have expressed interest in securing a portion of this funding, highlighting the importance of AI chip production in the US.

FUNDING
  • In the 2024 Spring Budget UK, the exchequer chancellor (Jeremy Hunt) announced that the government will pledge £100M in funding to boost the UK’s AI industry.

  • The funding will be released (over five years) to The Alan Turing Institutethe UK’s National Institute for Data, Science, and AI—marking a milestone in how it uses AI to tackle issues.

  • The institute focuses on AI in sustainability, defense, and security, aiming to make the UK the “best place in the world for AI research, collaboration, and business.”

  • Currently fourth in the international league table of AI (behind the US, China, and Singapore), the chancellor announced it wants the UK to become the next Silicon Valley.

CLIMATE CHANGE
  • Claims that AI will help us solve the climate crisis are misguided, according to reports made by the Climate Action Against Disinformation Coalition (CAAD).

  • AI systems—including those designed to help the planet with things like energy efficiency, drought prediction, and pollution leaks—are increasing energy use, damaging the planet. 

  • If the rate of AI advancement continues, the number of data centers needed to power these developments will double, causing an 80% increase in planet-heating emissions.

  • Plus, there is already evidence showing that training AI models (like ChatGPT and Gemini) can use as much energy as over 120 US households, in one year.

Do you think big tech companies will try and slow down their energy usage?

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Over the past year, AI Tool Report has worked with Hubspot, Brave Browser, SurfShark, Guidde, Graft & many more—presenting their AI products/services to over 490,000 AI enthusiasts, boasting:

  • A consistent 52% open rate

  • Best-in-class ad performance

  • A growing ecosystem of AI products/services

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Until next time, Martin & Liam.

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