Newsletter: Signs of the Tech Revolution #9
Recruiters now play an even bigger role than before.
The hiring process is evolving, and AI has been both a part of the problem and a potential solution. Traditional AI methods in hiring have often led to biases and inefficiencies, causing concerns for diverse talent pools.
Generative AI helps recruiters create job postings that avoid jargon and bias. It allows them to analyze hundreds of resumes faster, design assessments that evaluate candidates on relevant skills, and more. Implemented correctly, it can lead to a more equitable and efficient hiring process.
However, candidates also use genAI during the hiring process. For example to create resumes, answer questions, and go through assessments.
There are AI bots going through the hiring process with other bots. Scraping AI-generated resumes to match keywords and make recommendations.
It’s not the most effective process…
However, this shows how important recruiters are and the experience they bring to the table. Technology can help you scan through data, but in the end, it’s about the character of the person you’ll be working with.
The recruitment process has to be human-led, and technology can only be a part of it.
In this newsletter:
- TSMC €10 Billion German plant
- J.C. Penney’s investment in AI and ML
- Work from home responsible for Google’s struggle
- Employees waste a month each year due to skill gaps
- US big tech companies with the best work-life balance
- and more...
News #1: 97% of developers are using AI coding tools
GitHub’s recent survey highlights something almost everybody already knew: nearly all developers are leveraging AI-assisted coding tools. But only 38% of organizations actively encouraged adoption, US data.
59% to 88% of respondents across all markets reported their companies were “actively encouraging” or “allowing” the use of AI coding tools.
This shift is revolutionizing the development landscape, enhancing productivity, and streamlining workflows. By automating repetitive tasks and optimizing code quality, AI tools enable developers to focus more on creative and complex aspects of coding.
AI tools have become an integral part of the development toolkit.
As this technology gets better, we will see even more adoption. All companies will have to encourage the use of such tools if they want to keep up with the competition.
News #2: Gen Z’s love-hate relationship with AI
Gen Z’s relationship with AI is mixed; this generation is both excited and cautious. While some young people see AI as a powerful tool for enhancing creativity and productivity at work, others are wary of job displacement and ethical concerns.
People feel guilty about using AI at work but, at the same time, love using it to summarize work-related materials.
This generation, having grown up in the digital age, is aware of AI’s impact. Some may leverage AI for innovation, while others prefer a more measured approach due to ethical considerations.
Gen Z’s views and approach to AI will have a big impact on the future shape of this technology.
News #3: Enterprises expand cloud deployments and AI models swallow up servers
Despite a surge in new construction, data center availability in major markets like Northern Virginia and Silicon Valley has dropped to historic lows, with some regions seeing availability nearly vanish.
“Virginia, vacancies fell below 1% during the first three months of the year, even as inventory increased 18% year over year.”
This shortage has driven up costs, particularly in Northern Virginia, where prices spiked by 50%. As traditional hubs reach capacity, other regions like Oregon and Iowa are emerging as new data center hotspots, although demand remains heavily concentrated in established areas.
News #4: MIT releases comprehensive database of AI risks
MIT has unveiled a comprehensive database detailing the risks associated with AI. This resource can help you navigate the complexities connected with AI implementation and make much better decisions.
The database captures 700+ risks extracted from 43 existing frameworks. It classifies risks from AI into seven domains and 23 subdomains. In the repository, you will find information on how, when, and why an AI risk occurs.
With AI’s rapid integration into business strategies, understanding these risks is crucial. The MIT database offers you a chance to use a systematic approach to identify, assess, and manage potential pitfalls.
Other News
- What’s happening with TSMC €10 Billion German plant - Read more
- How J.C. Penney is using AI and ML to improve it’s supply chain - Read more
- Why AMD spent $4.9 Billion to buy AI equipment maker ZT Systems - Read more
- Why Google’s ex-CEO blames work from home for the company’s AI struggles - Read more
- NetApp, Cisco, and Spotify have the best work-life balance among US big tech companies - Read more
- SaaS vendors struggle with cloud bills, for almost 75% of companies, the cloud represents over 20% of their total costs of goods sold - Read more
- SoftBank wanted to partner with Intel to produce an AI chip to compete with Nvidia. But US chipmakers struggle to meet the Japanese requirements - Read more
- Data is an integral part of most jobs, but employees often lack the fundamental skills to use it effectively. This means skill gaps cost employers a month of productivity each year - Read more
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Curious to see how Maxima Consulting can help you get the most out of your tech investments? Meet with one of our consultants to see how we can help.
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