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LinkedIn Introduces Advanced AI-Powered People Search

Over the past two years, LinkedIn has steadily integrated artificial intelligence into its platform, enhancing everything from ad copies and personalized content to hiring assistance and job-hunting strategies. The latest innovation focuses on improving one of its most critical features: search. Following the successful rollout of a job search tool for U.S. members earlier this year, LinkedIn is now extending natural language search capabilities to people search.

Streamlined Queries For Targeted Connections

Utilizing natural language queries, users can perform searches such as, “Find me investors in the healthcare sector with FDA experience,” or, “People who co-founded a productivity company and are based in NYC.” This new system simplifies the process that once required precise titles or cumbersome filtering, ensuring a more intuitive and effective way to locate key professional contacts.

Enhancing Professional Networking

During early testing, LinkedIn observed that professionals leveraged the AI-powered tool not only to explore new job opportunities but also to foster business growth and career advancement. As Rohan Rajiv, Senior Director of Product Management at LinkedIn, explained, this upgrade transforms conventional search methodologies by delivering rapid, contextually relevant results that traditional keyword searches often missed.

Industry Trends And Competitive Dynamics

The move comes at a time when AI-enhanced search functionalities are becoming ubiquitous across the digital landscape. Platforms ranging from Google and Bing to startups like Happenstance AI and Clado are racing to deliver more intelligent and responsive search solutions. LinkedIn’s innovation not only reinforces its position as a leader in professional networking but also highlights the transformative impact of AI on everyday digital interactions.

Looking Ahead

Currently available to premium users in the U.S., the AI-powered people search tool will soon expand globally. Future updates are anticipated to refine the tool’s query understanding, ensuring even greater accuracy and relevance. As the digital landscape continues to evolve, LinkedIn’s commitment to integrating advanced AI capabilities underlines its dedication to providing professionals with the tools they need to connect, collaborate, and thrive in an increasingly competitive environment.

Cyprus Income Distribution 2024: An In-Depth Breakdown of Economic Classes

New findings from the Cyprus Statistical Service offer a comprehensive analysis of the nation’s income stratification in 2024. The report, titled Population By Income Class, provides critical insights into the proportions of the population that fall within the middle, upper, and lower income brackets, as well as those at risk of poverty.

Income Distribution Overview

The data for 2024 show that 64.6% of the population falls within the middle income class – a modest increase from 63% in 2011. However, it is noteworthy that the range for this class begins at a comparatively low threshold of €15,501. Meanwhile, 27.8% of the population continues to reside in the lower income bracket (a figure largely unchanged from 27.7% in 2011), with nearly 14.6% of these individuals identified as at risk of poverty. The upper income class accounted for 7.6% of the population, a slight decline from 9.1% in 2011.

Income Brackets And Their Thresholds

According to the report, the median equivalent disposable national income reached €20,666 in 2024. The upper limit of the lower income class was established at €15,500, and the threshold for poverty risk was set at €12,400. The middle income category spans from €15,501 to €41,332, while any household earning over €41,333 is classified in the upper income class. The median equivalents for each group were reported at €12,271 for the lower, €23,517 for the middle, and €51,316 for the upper income classes.

Methodological Insights And Comparative Findings

Employing the methodology recommended by the Organisation for Economic Co-operation and Development (OECD), the report defines the middle income class as households earning between 75% and 200% of the national median income. In contrast, incomes exceeding 200% of the median classify households as upper income, while those earning below 75% fall into the lower income category.

Detailed Findings Across Income Segments

  • Upper Income Class: Comprising 73,055 individuals (7.6% of the population), this group had a median equivalent disposable income of €51,136. Notably, the share of individuals in this category has contracted since 2011.
  • Upper Middle Income Segment: This subgroup includes 112,694 people (11.7% of the population) with a median income of €34,961. Combined with the upper income class, they represent 185,749 individuals.
  • Middle Income Group: Encompassing 30.3% of the population (approximately 294,624 individuals), this segment reports a median disposable income of €24,975.
  • Lower Middle And Lower Income Classes: The lower middle income category includes 22.2% of the population (211,768 individuals) with a median income of €17,800, while the lower income class accounts for 27.8% (267,557 individuals) with a median income of €12,271.

Payment Behaviors And Economic Implications

The report also examines how income levels influence repayment behavior for primary residence loans or rental payments. Historically, households in the lower income class have experienced the greatest delays. In 2024, 27.0% of those in the lower income bracket were late on payments—a significant improvement from 34.6% in 2011. For the middle income class, late payments were observed in 9.9% of cases, down from 21.4% in 2011. Among the upper income class, only 3% experienced delays, compared to 9.9% previously.

This detailed analysis underscores shifts in income distribution and repayment behavior across Cyprus, reflecting broader economic trends that are critical for policymakers and investors to consider as they navigate the evolving financial landscape.

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