Samsung announced stellar results last night, noting a 19x quarterly increase in operating profit, allowing the firm to pass Nvidia as the most profitable in the world. Kim Yong-Kwan, president and head of corporate management, strategy, and operations for Samsung Electronics' Device Solutions (DS) division, said that the semiconductor unit's 2026 operating profit will exceed everything it has earned across roughly 40 years in the chip business.

Brokerage consensus puts Samsung's full-year 2026 operating profit near 300 trillion won ($196 billion), and its second-quarter figure at about 84.6 trillion won ($55.1 billion). Samsung easily beat the consensus with $58.5 billion when it posted preliminary results on July 7, overtaking Nvidia's most recent quarterly operating profit of $53.54 billion and becoming the most profitable technology company in the world for the period, on the back of AI-driven memory demand.

Samsung's DS division booked 53.7 trillion won ($35.1 billion) of the company's 57.2 trillion won in total operating profit during the first quarter of 2026, roughly 94% of the total, which is why the division's projection sits so close to Samsung's full-year consensus.

"This year's profit will exceed the cumulative profit generated over the past 40 years since we entered the semiconductor business," Kim Yong-Kwan told staff, scoping the claim to the chip business rather than the wider conglomerate.

Samsung entered the semi space by acquiring Korea Semiconductor in 1974 and shipped its first 64Kb DRAM in the mid-1980s. SamMobile estimates the division's cumulative operating profit from 1985 to 2025 at under 300 trillion won. Samsung's smartphone, display, and appliance businesses have earned far more than that over the same period, so the record applies to memory and logic chips, not to Samsung overall.

Contract prices for DRAM and NAND have risen steeply through 2026 as AI server demand outran supply, pushing memory makers toward 40% to 50% operating margins on NAND in the first half of the year. Prices for 12 GB LPDDR5X modules have reached about $145, and Samsung is negotiating further commodity DRAM increases for the third quarter. The DS division's earnings move with those contract prices, and Samsung has told customers to expect tight supply through at least 2027.

We’ve all heard the warning that “The internet is forever.” But in reality, huge swaths of the digital world are disappearing all the time: websites go dark, governments purge public records, social media posts vanish, and streaming platforms remove films and music, Without deliberate efforts to preserve this material, much of our recent history could simply cease to exist. The Internet Archive has spent decades fighting that disappearance, most nottably through its Wayback Machine, which preserves snapshots of a web that is otherwise constantly being rewritten. Current Affairs spoke with Mark Graham, director of the Wayback Machine, and librarian Chris Freeland, co-editor of the Internet Archive’s new Vanishing Culture report, about why the internet is far more fragile than we think and what is lost when corporations and governments can make information disappear.

Nathan J. Robinson

Okay, listen, I want to start with a phrase—a phrase that will get under your skin, a phrase that I'm sure you've heard many times, and that we're going to correct here at the beginning. And the phrase is some variation on "the internet is forever," that is to say, when you put something online, it's never going to go away. I've heard that all of my life; I have lived through the birth of the internet, the entire history of the internet, and I've heard that all the time. So, tell us, is the internet in fact forever? And if not, in what ways is it not?

Collecting accurate contact data from social profiles is one of the most repeatable growth activities for sales, partnerships, and influencer outreach — but most teams still treat it as manual busywork. This guide shows a practical, compliant way to extract publicly available Instagram contact data at scale, clean and enrich it, and import it into your CRM or outreach stack.

Quick link (install tool)
Install the Chrome extension "Instagram Email Scraper"

Why this approach matters

Speed: Manual profile-by-profile harvesting is slow and error-prone. A focused extraction workflow reduces time-to-list from days to hours.

Data richness: Good extraction captures not only email addresses but also phone numbers, usernames, profile URLs, bio snippets, and follower/following counts — context that improves targeting and personalization.

Pipeline readiness: Exporting to CSV, Excel, or JSON makes the data immediately usable for CRM import, enrichment, and automation.

Core capabilities to look for

When evaluating lightweight tools for one-click exports, prioritize:

Bulk extraction from followers/following or search result pages.

Multiple export formats (CSV, Excel, JSON).

Selection of multiple contact fields (email, phone, username, profile URL, bio, follower/following counts).

Speed and browser stability when working with large lists.

The Chrome extension "Instagram Email Scraper" provides these features and is a practical choice for teams needing fast, ad-hoc list building.

Step-by-step professional workflow

Define target segments and seeds

Create seed accounts and hashtag queries that reflect your ICP (ideal customer profile).

Use filters such as follower count ranges, location mentions, and bio keywords to narrow targets before extraction.

1、Perform controlled extraction

Open the followers/following or search result page for each seed account.

Use the extension to extract the selected fields and export per page or per seed. Working in batches keeps browser performance stable and improves traceability.

2、Clean and normalize

Normalize phone numbers to E.164 format when possible.

Deduplicate by profile URL or username.

Validate email formats and flag suspicious entries (missing domain, disposable domains) for manual review.

3、Enrich and validate

Use enrichment APIs or company lookup services to append domain validation, job titles, or company names.

Distinguish business vs. personal emails (business domain vs. generic providers) and prioritize accordingly.

4、Score and prioritize

Combine contact signals (public business email, follower count, bio keywords) into a simple scoring model.
Prioritize outreach to high-score contacts and maintain a “cold-to-warm” cadence for personalization.

5、Integrate with CRM and outreach

Map fields accurately (email, phone, source URL, notes).

Store provenance metadata (seed account, extraction date) for auditing and to avoid duplicate outreach by different reps.

Automate follow-up sequences but preserve manual personalization steps using bio snippets or recent content references.

Practical examples and expected outcomes

Sales prospecting: Build a targeted list of 1,000 leads in a few hours rather than days; expect reduced list-build costs and faster campaign launches.

Influencer sourcing: Filter creators with public business emails to improve reply rates and negotiation speed.

Agency business development: Generate industry-specific prospect lists to fuel outreach and shorten pipeline creation time.

Technical considerations

Export formats: Use CSV/Excel for manual workflows and JSON for programmatic ingestion into pipelines or data warehouses.

Browser performance: Keep batch sizes modest (per page or per seed) to avoid memory or timeout issues.
Storage and access: Save exports in secured, access-controlled locations. Apply role-based access for sensitive contact lists.

Legal and ethical compliance (must-read)

Only collect publicly available contact information. Do not attempt to access private data or bypass protective measures.

Respect anti-spam and privacy regulations in each target jurisdiction (e.g., CAN‑SPAM, GDPR, Japan’s Act on the Protection of Personal Information).

Use collected contacts for legitimate, permission-respecting outreach. Provide opt-out methods and keep suppression lists updated.

Maintain internal policies for data retention, consent, and breach response.

When to use a heavier pipeline

The extension-based approach is ideal for fast list building by growth teams and small agencies. If you need enterprise scale, strict SLAs, or centralized auditing, invest in server-side pipelines using official APIs (where available) and paid enrichment vendors with compliance guarantees.

Install and test
If you want to test the workflow quickly, try the Chrome extension "Instagram email scraper" — it enables one-click exports of publicly available emails, phone numbers, usernames, profile URLs, and bio snippets into CSV, Excel, or JSON so you can validate the pipeline fast.

Next steps I can help with

A custom extraction-to-CRM mapping sheet for HubSpot, Salesforce, or Pipedrive.

A GDPR-compliant outreach template and suppression management plan.

A performance dashboard template to measure list-build velocity and outreach conversion.

If you’d like any of these, tell me which CRM and target market you’re focusing on and I’ll prepare a ready-to-publish checklist!