Technology hiring is picking up again, but not evenly. According to Robert Half's latest Demand for Skilled Talent research, 78% of technology leaders plan to increase permanent headcount in the second half of 2026, up sharply from 61% earlier in the year, and 66% expect to bring in more contract professionals. At the same time, 65% of technology hiring managers say finding skilled talent is harder than it was a year ago.

For recruiters, hiring managers, and job seekers across engineering, tech, SaaS, and financial services, that combination, more hiring plans paired with a tighter talent pool, is worth understanding in detail.

Skills Shortages Are Already Costing Companies Real Projects

This isn't just a hiring inconvenience. 71% of technology leaders say skills shortages caused project delays over the past year, and nearly half, 49%, report that projects were cancelled entirely. The initiatives hit hardest were AI integration (64%), security (60%), and software engineering and development (52%), which happen to be the exact areas companies are counting on most to stay competitive.

Where the Job Postings Are Concentrated

US job posting data backs this up. Employers posted nearly 1.1 million technology and IT jobs in 2025. Within that total, AI, machine learning, and data science postings jumped 163% year over year to 49,200, while security-related postings rose 124% to 66,800, including 20,000 new cybersecurity engineer listings alone.

By industry, technology hiring was strongest in financial services and in manufacturing and distribution, each approaching 100,000 open roles.

Unemployment Numbers Tell the Real Story

Some of the clearest evidence of a tight market shows up in unemployment data. As of Q1 2026, several technology roles had unemployment rates well below the US national rate of 4.3%: network and systems administrators at 0.4%, security analysts at 2.7%, software developers at 3.1%, and systems managers at 3.6%.

When unemployment in a specific role sits that far below the national average, it usually means experienced professionals have options, and employers should expect longer searches and more negotiation on pay, flexibility, and scope.

What These Roles Actually Pay

Starting salary ranges from the 2026 Robert Half Salary Guide give a clearer picture of where the money is: AI/ML engineers ($134,000 to $193,250), data engineers ($127,000 to $180,750), data scientists ($121,750 to $182,500), DevOps engineers ($118,000 to $173,750), cybersecurity engineers ($118,500 to $190,750), software engineers ($109,250 to $175,500), network/cloud engineers ($110,000 to $155,000), IT project managers ($103,500 to $147,000), and systems administrators ($80,250 to $118,000).

Hiring for Potential, Not Just a Perfect Match

With AI-related skills changing faster than most people can train for them, 57% of technology hiring managers say they're now prioritizing high-potential candidates and investing in their development when someone with the exact skill set isn't available.

Many are also turning to specialized recruiters for help. 70% of technology leaders say the difficulty of screening AI-related skills, including the rise of AI-generated resumes, has made them more likely to work with a staffing or consulting firm. Of those who did, 93% said the firm was effective at helping them navigate AI-related hiring challenges.

A new report from social media management platform SocialBee analyzed 9,332,840 posts published across 10 social networks in 2025, along with growth data from thousands of active users. The result is one of the clearer pictures available right now of how brands are actually posting, not how marketing conversations say they should be posting.

For anyone managing social media across LinkedIn, Facebook, YouTube, TikTok, Instagram, X, Threads, Reddit, or Pinterest, a few of these findings are worth adjusting your strategy around.

Facebook Still Gets Nearly Half of All Posts

Despite years of conversation about newer platforms, Facebook remains where brands post the most. It accounted for 44.5% of all posts analyzed, nearly one out of every two. X followed at 14.8%, Instagram at 12.8%, and LinkedIn at 11.6%. Together, these four platforms made up more than 80% of all posting activity.

Platforms like TikTok, Threads, Pinterest, and YouTube each accounted for less than 3% of posts, not because they're less valuable, but because content for them typically takes more time to plan, produce, and approve.

Growth Is Even More Concentrated Than Posting

The growth data is where this report gets genuinely useful. Among users managing multiple accounts, over 96% of all measurable audience growth happened on just four platforms: Facebook (31.0%), Instagram (23.5%), X (22.8%), and LinkedIn (19.2%). YouTube, TikTok, Pinterest, Threads, and Bluesky combined for less than 4% of total growth.

That doesn't mean newer platforms aren't worth being on. It means growth there tends to be slower and less visible in short-term metrics, and for teams with limited time, doubling down on the four established platforms is still where the numbers say the return is.

When Brands Actually Post

Posting activity is heavily concentrated in the middle of the week. Wednesday leads at 15.6% of all posts, followed closely by Thursday (15.37%) and Tuesday (15.18%). Weekends are far quieter: Saturday and Sunday combined account for less than a quarter of total posting volume, with Sunday the lowest at 11.5%.

Time of day follows a similar pattern. The single most popular posting hour is 3:00 PM, and the four-hour window between 2:00 PM and 5:00 PM accounts for more than a quarter of all posts. Early mornings and overnight hours see comparatively little activity.

Images Still Beat Video for Engagement

This might be the most counterintuitive finding in the report. Despite the industry-wide push toward short-form video, image posts accounted for 44.8% of all high-engagement content, by far the largest share. Link posts came in at 21.5%, carousels at 14.8%, and video and text posts were nearly tied at 9.7% and 9.1% respectively.

The takeaway isn't that video doesn't work. It's that strong images and sharp, opinionated text can still perform just as well, and format matters less than having something worth reacting to.

Managing Multiple Accounts Is the Norm

The average brand in this dataset manages 4.5 social media accounts at once. Over 61% manage at least three, and 17% manage seven or more. When you're responsible for that many accounts, repeatable, predictable workflows tend to win over constant experimentation.

Every year brings a new round of predictions about what's about to change in SEO. The most reliable way to cut through that noise is to look at real data instead of opinions, and the 2025 Web Almanac, covering millions of websites, gives a clear picture of where things actually stand heading into 2026.

For anyone managing organic content and SEO, a few of these findings matter more than the rest.

The Basics Are Mostly Solved

Core technical SEO has quietly gotten easier, largely because content platforms and SEO plugins now handle it by default. HTTPS adoption is now above 91%. Title tags appear on nearly 99% of sites, and viewport meta tags on more than 93%. Canonical tag adoption rose from 65% in 2024 to over 67% in 2025, and error rates are trending in the right direction too: 404 errors fell from 14% to 13%, and server errors sit at roughly 0.1%.

None of this means SEO is “done.” It means the baseline has moved up, and sites that still get these basics wrong now stand out more, not less.

What's Still Being Missed

Despite the overall improvement, some gaps are stubborn. Nearly a third of pages, about 33%, are still missing proper canonical tag implementation, which is one of the more common causes of duplicate content issues. On the more advanced side, roughly 67% of images and over 91% of iframes still don't have loading attributes set, both of which affect page performance, particularly on mobile.

AI Crawlers Are Now a Real Presence

Perhaps the clearest sign of change in 2025 data is how often AI-related crawlers show up in robots.txt files. GPTBot mentions rose about 55% year over year. ClaudeBot mentions nearly doubled. PetalBot, not separately tracked before, now appears on about 4% of sites.

Robots.txt used to be mostly about controlling search engine crawlers like Googlebot. It's increasingly becoming a policy document for how a site wants to handle AI systems too, and that's a decision more site owners will need to make deliberately in 2026 rather than by default.

The Rise of llms.txt, Even If Its Value Is Still Unproven

A newer and more debated file, llms.txt, is meant to help AI systems understand and retrieve a site's content more easily. At the start of 2025, adoption was close to nonexistent, found on only about 0.015% of the top million sites analyzed. By the end of 2025, just over 2% of a much larger sample had a valid llms.txt file, driven mostly by SEO plugins like AIOSEO making it easy to switch on.

Whether llms.txt actually helps with AI visibility is still genuinely debated. But its rising adoption is a signal in itself: site owners are starting to make decisions specifically with AI systems in mind, not just search engines.

FAQ Content Is Becoming More Valuable, Not Less

One of the more interesting findings involves FAQ content. Google previously scaled back how often FAQ rich snippets appear in search results, which might have suggested FAQ schema use would decline. Instead, adoption of FAQPage schema has kept climbing across the last three years of data.

The likely reason is that AI search tools cite FAQ-formatted content heavily in their generated answers, even when Google itself doesn't display it as a rich snippet. Structured, directly answerable content has value beyond traditional search results now, which is exactly why a clear FAQ section at the end of a blog post matters more in 2026, not less.

AI adoption among small businesses has moved well past the experimental phase. According to the Small Business & Entrepreneurship Council's 2026 Small Business Tech Use Survey, 82% of small business employers have now invested in AI tools, and the typical small business is running a median of five AI tools across different parts of the operation.

For any small or mid-size company trying to figure out where to start with AI, or whether it's worth it at all, this data offers a genuinely useful map.

What Small Businesses Are Actually Using AI For

The survey identifies six areas where AI tools are most commonly applied: general business research, marketing and content creation, customer service and communications, sales support and lead generation, administrative automation, and financial management and forecasting.

Marketing and content creation is the single most common use case. Business owners report that AI has measurably improved customer reach, engagement, and revenue generation in this area specifically.

The Core Toolkit

A general-purpose AI assistant tends to be the entry point for most small businesses. ChatGPT is the most widely used, though Claude and Gemini show up often too, typically for drafting marketing copy, proposals, and emails, and for general business planning and brainstorming.

From there, businesses layer in more specialized tools: Canva, Jasper, and Copy.ai for marketing and content at scale; Zapier for connecting apps and automating repetitive processes; Notion for AI-assisted knowledge management; HubSpot for AI-powered CRM and lead scoring; Tidio for round-the-clock chatbot support; and QuickBooks Online or Xero for automated bookkeeping and real-time financial insight.

Small businesses selling through e-commerce or social platforms, primarily Facebook, Instagram, YouTube, LinkedIn, TikTok, Amazon, X, and Shopify, also increasingly rely on the built-in AI features those platforms now offer for writing and ad creation.

The Fastest-Growing Category: AI Pricing Tools

One trend stands out as particularly strong. 65% of small businesses are either already using or planning to implement AI-supported pricing tools like Prisync, Competera, or PROS, which adjust pricing dynamically based on market conditions.

Among businesses already using these tools, the results are notable: 97% report a positive impact on revenue, 94% say the tools made their business more competitive, and 90% expect to increase their use of pricing tools over the next 12 months.

Businesses Are Committing, Not Just Experimenting

This isn't a wave of businesses trying AI once and moving on. 93% of small businesses currently using AI plan to keep investing in it over the next year, and 62% expect to increase how much they spend on it. That level of continued investment is one of the clearest signs that these tools are delivering real, measurable value rather than just novelty.

Where to Start

For a small business that hasn't adopted AI yet, the survey's guidance is straightforward: start with a core AI assistant for research, writing, and communication, then add one high-impact tool based on the single biggest pain point, whether that's customer service, pricing, workflow automation, or financial visibility. The goal isn't to adopt everything at once. It's to build a stack gradually, based on what actually saves time or drives revenue.

Interestingly, the survey also found that small business owners' top source for deciding which tools to try isn't a tech publication or an ad. It's other business owners in their industry.

Amazon seller policy changes rarely arrive all at once, and 2026 is no exception. Several updates rolling out this year touch fees, reimbursements, listing standards, and account health, and a few of them carry real financial consequences if they catch a seller off guard.

For context on why this matters: data cited by AMZ Advisers shows 43% of Amazon sellers have made under $25,000 in lifetime sales. At that scale, even one overlooked rule or outdated workflow can be the difference between steady growth and stalling out.

FBA Fees Are Going Up, Quietly

Amazon's updated FBA fulfillment fees increase by an average of about $0.08 per unit sold starting in 2026, roughly a 0.5% rise overall. That sounds small, but it applies across the board, and the timing is where sellers get caught out. Q4 2025 has its own temporary peak season fees that expire January 14, but the new permanent baseline that begins January 15, 2026 is still higher than 2025's regular, non-peak rates. Sellers comparing post-holiday pricing to pre-holiday pricing can easily miss that the “new normal” costs more than the old one did.

FBA Prep and Labeling Services Are Ending, With a Reimbursement Catch

Starting January 1, 2026, Amazon is discontinuing all FBA prep and item labeling services in the US store, for every inbound shipment regardless of how it's routed. Amazon's stated reason is that seller packaging capabilities have improved enough that the in-house service is no longer necessary.

The financial catch: shipments created after January 1, 2026 that arrive without proper prep or labeling will not be eligible for reimbursement if the items are damaged or become untraceable. In plain terms, if your own team or your freight forwarder gets packaging or labeling wrong, Amazon will not cover you for the loss anymore.

Listing Standards Are Being Enforced More Strictly

Amazon has tightened its rules around product titles, variations, and attribute accuracy. Titles now need to describe exactly what a product is, not what it promises, and Amazon is actively flagging keyword stuffing, unnecessary characters, promotional language, and misleading claims.

Product variations are also under closer review. Listings that group unrelated products together to share reviews or boost visibility can now trigger automatic listing suppression. Titles that misrepresent a product, even in small ways, can result in listing deactivation under Amazon's accuracy standards.

Compliance Documentation Has a New Bar

Since July 13, 2025, Amazon requires that product compliance test results come from labs that meet Amazon's own safety standards. If a compliance document comes from a lab that doesn't meet that bar, Amazon will reject it during review, which can delay or block a listing from going live or staying active.

Account Health Enforcement Has Gotten Faster

Amazon's Account Health Rating still uses its familiar 0 to 1,000 scale, but the way it's enforced has changed. Policy violations now trigger deductions faster, more types of issues are surfaced directly in the dashboard, and sellers with unresolved problems escalate into “At Risk” status more quickly than before.

Not All the News Is Bad: Europe Fees Are Coming Down

While US fees are rising, Amazon is moving the opposite direction in parts of Europe, aiming to compete more directly with low-cost marketplaces like Shein and Temu. Starting February 1, 2026, referral fees are being lowered for home products, pet clothing, groceries, and vitamins. FBA fulfillment fees in Germany, the UK, France, Italy, and Spain are also being reduced by roughly €0.26 to €0.32 per parcel delivered, which could shift where some sellers choose to hold and distribute inventory.

Running a small business in the Philippines means juggling a lot, and BIR compliance is often the part that gets pushed to “later.” The problem is, later usually means scrambling right before a deadline, or worse, paying a penalty for missing one.

Here's a simple rundown of what BIR compliance actually covers, the deadlines that matter most in 2026, and the mistakes that trip up small business owners most often.

What BIR Compliance Actually Means

At its core, being BIR compliant means four things: registering your business properly (getting your TIN and Certificate of Registration), filing your returns on time, using the correct forms, and keeping your records in order in case of an audit.

It's not just paperwork for paperwork's sake. Staying compliant protects your business from penalties, and it builds credibility with banks, partners, and investors down the line.

The Deadlines to Put on Your Calendar

Here are the recurring deadlines most small businesses in the Philippines need to track every year: the Annual Income Tax Return for corporations is due on or before April 15 of the following year (Form 1702 or 1702-EX); the Quarterly Income Tax Return is due 60 days after each quarter ends (Form 1702Q or 1701Q); VAT is due the 20th day after each month ends (Form 2550M monthly, or 2550Q quarterly, depending on your registration); withholding tax is due the 10th day after each month ends (Form 1601C or 1601E); percentage tax for non-VAT registered businesses is due the 25th day after each quarter ends (Form 2551Q); and annual BIR registration renewal is due January 31 each year (Form 0605, with a ₱500 fee).

One more thing worth remembering: keep your books of accounts and receipts for at least 10 years. The BIR can request them for audit purposes, and “I don't have that anymore” is not a good answer to give.

The Forms You'll See the Most

A handful of BIR forms come up again and again for small businesses: Form 1702 or 1701 for annual income tax, Form 2550M or 2550Q for VAT, Form 1601C or 1601E for withholding tax, Form 2316 for certificate of compensation payment or tax withheld, Form 1905 if you need to update or correct your registration details, and Form 2307 for certificate of creditable tax withheld.

Using the wrong form, or filing the right form late, is one of the most common reasons small businesses run into trouble with the BIR.

Do You Need to File Electronically?

Most registered taxpayers now file through the eBIRForms system or the Electronic Filing and Payment System (eFPS). Which one applies to you depends on your business size and how much VAT or withholding tax you handle. If you're not sure which platform you should be using, it's worth checking directly through the BIR eServices portal or asking a bookkeeper to confirm.

The Mistakes That Trip Up Small Businesses Most

A few patterns show up again and again: filing late, which remains the single most common trigger for BIR penalties; using the wrong form for the tax type or period; not switching to e-filing when your business is already required to; keeping incomplete records, missing receipts, or unsupported VAT claims; and assuming a small business won't get flagged, when the BIR's data matching has gotten more thorough every year.