Farage was given £5m by the Thai-based billionaire Christopher Harborne shortly before announcing he would stand in the 2024 general election

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Nigel Farage was given £5m by the crypto billionaire Christopher Harborne shortly before announcing he would stand in the 2024 British general election, Anna Isaac reports.

You already sense it. The game has tilted toward collaboration as the new face of competition. A small business competing in isolation is like an individual bringing a knife to a gunfight, especially when big corporations have tanks and missiles.

In market after market, firms that once fought for inches now build lanes together, then race in them. The giants signpost the shift. Apple and Samsung are dueling for smartphone sales, while Samsung’s component arm supplies the OLED displays that make iPhones glow. This summer, they even expanded their partnership, and Samsung now supplies chips from a Texas factory for Apple’s iPhones. Apple and Google wrestle for mobile mindshare, yet Google pays Apple billions each year to be the default search engine on iPhone. The rivals compete in devices and services, while cooperating where both gain reach and revenue.

Automakers offer another lesson. Ford and General Motors jointly developed transmissions to spread costs and accelerate time-to-market, while still going head-to-head in showrooms. BMW and Toyota have partnered on hydrogen systems and even a shared sports car platform, each preserving its identity while pooling the heavy lift.

Even in the entertainment industry (where rivalries are legendary), competitors team up when the infrastructure is heavy and the outside threat is larger than the fight between them. Microsoft and Sony agreed to explore cloud and streaming services together while still slugging it out for players and titles.

This idea has a name with roots in strategy research: coopetition. Coopetition is a blend of "cooperation" and "competition," where competing entities work together toward a common goal while still maintaining competitive interests in other areas. This concept allows businesses to collaborate in certain aspects, such as research and development, while competing in the marketplace for customers and market share.

Small Businesses Can Benefit From Coopetition, Too

If major corporations can alternate between contest and collaboration, what does that mean for the underdog that lives on cash flow and speed? It means advantages. Small firms can trade fixed costs for access and turn local trust into a regional footprint. Crucially, you can do it without dulling your edge. You can protect your absolute advantage and still grow through smart alliances. Think of it like neighbors who decide to share the cost of digging a well. They may still cook their food separately, but sharing water helps both survive.

Big companies embrace this logic because it works. The question is no longer whether cooperation has a place in competitive strategy; the question is how small businesses can use the same playbook to grow faster and reach farther without giving away the crown jewels.

Why Coopetition Should Be a Small Business Default

Why should small businesses embrace coopetition? There are plenty of reasons, the biggest being:

• Because demand wants convenience. Customers prefer bundles, one-stop solutions, and fewer handoffs. A florist and a baker who package wedding day services together remove friction. A design studio and a print shop that quote as one provider save a buyer time. Coopetition aligns with the buyer reality that shoppers now have endless choices and convenient options will often win out.
• Because platforms compress margins. When discovery and delivery run through a few giant rails, the small player who goes solo often pays the toll twice. Multinationals like Amazon, Walmart, Alibaba, and Jumia (in Africa) can cut prices in ways small shops cannot. If small businesses keep fighting one another, they may all lose to the bigger giants.
• Because constraints are real for small businesses. Many small businesses don’t have enough money for marketing, technology, or research. Competing alone drains these scarce resources. Collaboration addresses shortages of cash, capacity, and credibility. For instance, shared kitchens have become an on-ramp for growth companies that need commercial grade space without crushing overhead. Volatility punishes the isolated. Little wonder there are co-working and co-warehousing spaces growing. Companies that might fight for the same shelf space share equipment, know-how, and even suppliers in a neutral space.
• Because the cost of differentiation is moving up the stack. Customer experience, story, taste, and trust are uniquely yours. Everything else is infrastructure. Sharing infrastructure lowers cost and increases speed.
• Because networks reward interoperability. If your category grows because rivals agree on a standard, you sell more to a bigger market. If you insist on going it alone on every input, you pay more and move slower.

The Concept of Loneliness and Friction Tax

The loneliness tax is the hidden cost you pay when you run your business alone. For example, a small restaurant owner can spend all their savings on marketing but still struggles to fill seats. Right down the street, another restaurant is also struggling. If both teamed up to run a joint food festival, they could attract bigger crowds, share costs, and both make more money. In other words, when you refuse to collaborate, you carry all burdens alone, and your growth is slower.

The friction tax is the cost of fighting your competitors unnecessarily. For example, two small grocery stores in the same neighborhood lower prices every week to outdo each other. Customers enjoy the price war, but the stores are bleeding profit. If they agreed to share delivery or other costs, they might save money. Their constant “fight” created friction that drained them.

How to Collaborate While Still Competing

Think like an owner of a portfolio of bets, not a single bet. In practice, that means you decide, at the level of a function, where you will collaborate and where you will compete. For example, you can share the back office and fight for the front office.

• Put your business at the center, then have these 4 partners (your customers, your suppliers, your complementors, and your competitors) surround you. Then, seek opportunities where a joint move could expand the value that flows through the system. Perhaps you and a nearby rival could co-import raw materials to cut freight costs. Perhaps two boutiques could create a shared trunk show calendar that rotates venues and mailing lists. Perhaps three landscaping firms could rotate a specialized machine and collaborate on overflow jobs in peak season. The choice of where to collaborate should be the place where the cost is high or the customer benefit is obvious.
• Decide on what is out of bounds before you shake hands. Fixing prices or wages, dividing up markets, and other agreements that dull rivalry cross legal red lines in the United States. Recent enforcement shifts have removed the old comfort of broad safe harbors, so small businesses should formalize purpose, scope, and information barriers, then get counsel when in doubt.
• Build the smallest possible experiment and measure real outcomes. This might mean testing a one-season joint bundle for wedding vendors, a three-month pooled procurement of packaging with clear savings targets, or a shared pop-up store through the holidays with agreed staffing and revenue splits.
• Choose governance that matches the ambition. For lightweight efforts, a memorandum of understanding and a shared channel will do. For heavier lifts, use a special purpose vehicle, a buying consortium, or even a cooperative with bylaws and member voting.
• Protect your edge without starving the partnership. Keep your brand, your customer data, and your secret sauce on your side of the fence. Share only what advances the joint outcome. When tech is involved, set data minimization rules and define who owns improvements. When services are involved, define service levels and escalation paths. When creative work is involved, set credit conventions up front. A cooperative like Stocksy shows how clear rules can protect individual creators while strengthening the shared platform.

Practical Ways for Small Businesses to Practice Coopetition

1. Bulk Buying Together: Instead of buying stock individually at higher prices, small businesses in the same line (say, salons, retail shops, or farmers) can pool money and buy in bulk at lower prices.
2. Shared Marketing: Competing fashion designers can organize a joint runway show. Competing tour guides can market one travel package together. Competing restaurants can hold a food festival.
3. Joint Training and Learning: Several small businesses can contribute to bringing in an expert for a class or workshop, something they couldn’t afford individually.
4. Cluster Strategy: Just like food trucks, businesses can position themselves close together to attract bigger crowds. A row of bookshops or tech repair shops often brings more customers than one shop standing alone.
5. Collaborating for Big Contracts: Sometimes, a small business cannot fulfill a large order. Instead of rejecting it, competitors can partner to deliver together. This builds credibility and future opportunities.

Guardrails That Keep You Safe

When small businesses come together, the excitement of new opportunities can make them overlook the fine print. But you shouldn’t dive into a collaboration without rules that keep everyone safe and focused. Think of these rules as the guardrails on a highway (they don’t stop you from moving forward, they keep you from crashing).

• Name the purpose in the first sentence of every agreement and read it aloud in the first meeting. If your purpose is to reduce carbon in logistics, you know what information belongs in the room and what does not. If your purpose is to expand access to customers, you will stay far away from pricing talk.
• Keep the collaboration proportional. The smaller and more targeted the scope, the easier it is to govern and the harder it is to drift into forbidden territory. When you do scale up, bring counsel early.
• Agree on how the partnership ends. Sunset dates prevent zombie alliances. Exit clauses that define who owns the work reduce drama. Postmortems capture the learning so your next partnership starts stronger.

A Closing Challenge for Small Businesses

As a small business owner, ask yourself these 2 questions:

1. Where am I paying a loneliness tax?
2. Where am I paying a friction tax?

Every place you answer yes is a candidate for coopetition. If you embrace coopetition with clear eyes and clean boundaries, you will find that collaboration is not the end of competition. It is the way you make competition worth winning.

Over the past decade, compensation for artificial intelligence (AI) professionals has surged at an unprecedented pace, reshaping the talent market and redefining what employers must offer to attract and retain top-tier technical talent. As companies across nearly every sector race to integrate machine learning, automation, and generative AI into their operations, the demand for skilled AI engineers, researchers, and product leaders has vastly outstripped supply. The result is a compensation environment that is not only highly competitive, but increasingly aggressive.

What makes this shift especially striking is how rapidly it has accelerated. Even five years ago, AI roles commanded above-average compensation, but nowhere near the levels seen today. Now, seven-figure packages for senior AI experts are not only possible, they’re becoming increasingly common.

This surge is driven by a unique convergence of market forces: the explosion of generative AI capabilities, a shortage of qualified talent, escalating corporate reliance on AI strategy, and the emergence of new startup and investment ecosystems flush with capital. Together, these factors are pushing AI compensation to historic highs, with no signs of slowing down.

And of course, this article was written with the research assistance of AI.

The Talent Shortage Driving the Compensation Surge

AI is one of the few fields in which global demand massively exceeds global supply of qualified professionals. Only a small subset of software engineers possess the deep expertise required for advanced machine learning, reinforcement learning, natural language processing, and large-scale model development. Even fewer have hands-on experience with cutting-edge deep learning architectures or the ability to integrate foundation models into commercial products.

Companies are discovering that they are effectively competing for the same limited pool of elite talent. And that competition is fierce.

Here are a few key reasons AI talent is scarce:

• AI research and engineering require advanced mathematical, algorithmic, and computational training.
• Top-tier AI expertise is concentrated in a handful of universities and research labs.
• Rapid technological change means experience becomes outdated quickly, raising the premium on continuous learners.
• Many AI professionals gravitate toward startups or independent research labs rather than traditional corporate roles.
• Immigration constraints limit access to global AI expertise in certain regions, especially the U.S.

This scarcity alone would elevate compensation, but the explosive commercial potential of AI has supercharged it.

Generative AI Has Reshaped the Compensation Landscape

The release of large-scale generative AI models has catalyzed a gold rush. Companies of all sizes now recognize that AI will determine competitive advantage in the coming decade. As firms shift from “AI experiments” to “AI strategy,” the urgency to hire expert talent has become acute.

Generative AI has created entirely new job categories, including:

• Large Language Model (LLM) Engineers
  
• Prompt Engineers and Prompt Architects
• AI Product Managers and AI Strategy Leads
• Applied AI Scientists
• Multimodal AI Specialists
• AI Safety and Alignment Researchers
• Model Evaluation and Red Teaming Experts
• AI Video Specialists

In many cases, these roles did not exist 18 months ago. Now, they are some of the highest-paying jobs in the technology sector.

Salaries Are Reaching Historic Highs

Compensation varies widely based on geography, seniority, company size, and specialization. But one trend is clear: AI salaries are increasing across the board, often dramatically.

Typical U.S. salary ranges for AI roles:

• Machine Learning Engineer: $180,000–$350,000+ total compensation
  
• Senior AI Scientist: $300,000–$600,000+
  
• LLM Engineer or Generative AI Engineer: $400,000–$900,000+
  
• AI Product Director: $350,000–$700,000+
  
• Head of AI / VP of AI: $700,000–$2,000,000+
  
• Distinguished AI Researcher at top tech firms: Often over $1 million, with equity packages that can reach multi-millions

And these figures do not account for extreme outliers—most notably the seven-figure offers made by OpenAI, Anthropic, Google DeepMind, Meta, and specialized hedge funds or trading firms.

Compensation for AI talent is highest in the Silicon Valley/San Francisco area, followed by New York and then Seattle.

Startups Are Offering Massive Equity Packages

AI startup funding is booming. Investors are pouring billions into companies developing foundation models, AI infrastructure, and vertical AI applications. With capital plentiful and competition intense, startups are offering generous equity to lure experienced AI hires away from Big Tech.

What startups are offering:

• Sign-on equity that may exceed 0.5–2% of the company for early senior hires
  
• Better vesting schedules (e.g., no cliff vesting, shorter vest cycles)
• Performance-based equity refreshers
• Access to secondary liquidity opportunities as they become available
• Hybrid cash/equity compensation at levels competitive with major tech companies

For highly specialized engineers, particularly those with LLM or multimodal model experience, equity stakes can be extremely significant.

The big players are stepping up as well. In late 2025, OpenAI’s average stock compensation reportedly reached $1.5 million per employee for its 4000 person workforce.

Non-Tech Companies Are Entering the Bidding War

AI is no longer limited to technology firms. Industries such as healthcare, finance, manufacturing, retail, defense, and media all have aggressive AI build-out strategies. This has expanded the competition for talent beyond Silicon Valley, creating upward pressure on compensation.

For example:

• Financial institutions are recruiting AI specialists for algorithmic trading and risk modeling.
  
• Healthcare companies need AI leaders for diagnostics, drug discovery, and patient management systems.
• Traditional industrial firms are hiring machine learning engineers to optimize robotics, forecasting, and supply chain operations.

These companies often have substantial cash reserves, enabling them to offer compelling salary packages more commonly associated with Big Tech.

Remote Work Has Globalized the AI Salary Market

Remote-first hiring has created a global bidding environment. Companies that once paid lower regional salaries are now forced to match global standards—especially when competing against deep-pocketed AI enterprises and venture-backed startups.

As a result:

• Compensation is rising across Europe, Latin America, India, and Southeast Asia.
  
• Remote AI contractors in lower-cost countries are sometimes commanding Silicon Valley–level pay.
• Employers can no longer rely on geographic arbitrage to meaningfully cut costs.

This globalization has further driven compensation upward.

Retention Packages Are Becoming More Aggressive

As poaching becomes rampant, companies are creating elaborate retention structures, including:

• Annual equity refresh grants
  
• Retention bonuses tied to multi-year milestones
• Stay bonuses during M&A or restructuring
• Accelerated equity vesting for high performers

Companies recognize that replacing a senior AI engineer or researcher is extremely costly, and often impossible in the short term.

What This Means for Employers

Companies should expect:

• Longer search timelines for AI roles
  
• Substantially higher compensation budgets
• The need for flexible, customized packages
• Aggressive competition from startups and Big Tech
• Ongoing retention challenges

Organizations that fail to invest in AI talent will struggle to compete strategically, technologically, and operationally.

What This Means for AI Professionals

For employees, the moment is historic. AI expertise, especially in LLMs, applied machine learning, infrastructure, safety, and AI product design, is one of the most valuable skill sets in the global economy.

Professionals should:

• Negotiate assertively
  
• Evaluate total comp (salary, bonus, equity, benefits)
• Secure severance and change-in-control protections
• Understand equity liquidity options
• Consider both Big Tech stability and startup upside

Those with the right skills can expect strong compensation growth for the foreseeable future.

How AI Employees Can Negotiate High-Value Compensation Packages

This section outlines the most important strategies, components, and negotiation techniques AI employees can use to maximize compensation and secure long-term professional protection.

1. Evaluate Total Compensation, Not Just Salary

A common mistake candidates make is focusing on base salary alone. In AI roles—especially at high-growth startups—base salary may not be the most important part of the package.

AI employees should evaluate:

• Base salary
• Annual bonuses or performance incentives
• Equity grants
• Retention or milestone bonuses
• Equity refresh cycles
• Severance protections
• Change-in-control payments

Total compensation packages in AI can vary by hundreds of thousands of dollars depending on equity and incentives, making it essential to evaluate the full structure.

2. Negotiate Equity—It’s Often the Most Valuable Component

AI startups and AI-first public companies rely heavily on equity to attract top-tier talent. But equity terms are nuanced and highly negotiable.

Key equity terms you should negotiate:

• Size of the grant (expressed as % ownership or # of shares)
• Equity type (options vs. RSUs)
• Vesting schedule (you can ask for shorter vesting schedules and no cliff vesting)
• Acceleration triggers (single- vs. double-trigger vesting)
• Windows to exercise options after leaving the company (traditionally 90 days but you can request one year)
• Ability to participate in secondary sales

A single percentage point of equity at a strong AI startup can be worth millions of dollars in a successful exit. Do not underestimate your ability to negotiate this component.

Pro tip: Ask for your equity in terms of percentage ownership, not number of shares. This forces companies to reveal the fully diluted share count.

3. Push for Clear and Achievable Bonus Structures

AI work is often tied to quantifiable outcomes: model accuracy, latency improvements, deployment milestones, or product releases. This makes it easier to negotiate objective bonus structures, rather than subjective or discretionary ones.

You can negotiate:

• A signing bonus
• A target bonus (often 20–50% of salary for senior roles)
• A guaranteed minimum first-year bonus
• Objective, measurable performance metrics
• A clear timeline for bonus evaluation
• Eligibility for multi-year performance awards

4. Benefits and Perks

Beyond salary and bonuses, benefits protect well-being and support work-life integration—particularly important for senior leaders.

Benefits can include:

• Comprehensive health, dental, vision, life, and disability insurance
• Retirement plans such as 401(k) with employer match and pension enhancements.
• Vacation, sick leave, and paid time off accruals with carry-over provisions on termination.
• Relocation assistance, travel allowances, and technology stipends.
• Parental leave

5. Secure Strong Severance and Termination Protections

Given the velocity of change in AI—funding cycles, pivots, acquisitions, and leadership turnover, severance protections are essential. They are highly negotiable for AI professionals.

Negotiate for:

• 3–12 months of salary severance pay if fired without cause, together with 3-12 months of target bonus
• Continuation of benefits or COBRA during the severance period
• Accelerated vesting of equity upon termination without cause
• Severance triggers if your role changes materially
• Limit the “cause” definition– you want to avoid broad definitions of being terminated for “cause” to avoid losing out on severance
• Mutual releases of liability and mutual non-disparagement clauses in the event of termination without cause

Many AI companies do not offer severance by default, but will add it if asked by a senior or highly valuable hire.

6. Leverage Competing Offers Strategically

AI employees who interview with multiple companies often have dramatically better outcomes. Even one additional offer can significantly increase your negotiation leverage.

Tips for handling competing offers:

• Never bluff—only leverage real offers.
  
• Share general ranges, not exact numbers (“my other offer is in the ~$500K range”).
• Emphasize fit and culture, not financial extraction.
• Allow employers to “revise” offers rather than demanding increases.

Companies expect AI talent to be in high demand. You should expect and encourage competition.

7. Protect Yourself from Liability

AI work often includes high-stakes systems, regulatory exposure, or sensitive data. Professionals should negotiate strong protections.

You can ask for:

• Company-backed D&O insurance (for senior roles)
  
• Indemnification for work done within the scope of your role
• Reasonable limits on personal liability

AI professionals involved in model development, compliance, or safety can insist on explicit liability protection.

8. Remote Work and Flexible Arrangements Are Negotiable

AI talent is global, and many companies are remote-first. If location flexibility matters to you, negotiate it early.

You can request:

• Fully remote work
  
• Hybrid flexibility (e.g., two days in the office each week)
• Home office stipends
• Relocation packages, if required
• Adjustments for time-zone differences

Given how scarce AI talent is, many companies will accommodate flexibility for the right candidate.

9. Consider Other Important Issues

Here are some additional important issues to consider when negotiating an employment contract or offer letter:

• Avoid any non-compete clauses that would hinder you from finding a new AI job. In some states like California, those are for the most part unenforceable anyway
• If there is a dispute with your employer, you will likely want the matter to be resolved by confidential binding arbitration to avoid lengthy and costly litigation
• Make sure you are not taking any documents or confidential information from your old employer– this can lead to expensive and embarrassing litigation
• Get any oral promises made to you in writing as part of your employment agreement or offer letter
• Carefully review the terms of any rights of repurchase on equity, right of first refusal, and company buy-back terms, which could limit the value of your equity

10. Work with an Attorney or Advisor for Complex Packages

AI compensation packages, especially those involving equity, are increasingly complex. Understanding tax implications, vesting schedules, and contract terms often requires professional review.

An attorney or advisor can help you:

• Interpret equity and vesting terms
  
• Understand company cap tables
• Identify red flags in employment contracts
• Strengthen negotiation positions
• Include protective contract terms

A modest legal investment can protect hundreds of thousands—and sometimes millions—of dollars in future compensation. And sometimes you can negotiate for the company to reimburse your reasonable legal fees incurred.

Conclusion on Compensation for AI Employees

AI employees today are in a uniquely powerful negotiating position. Compensation is skyrocketing. Companies are racing to hire scarce talent, and the strategic importance of AI expertise has never been higher. By approaching negotiations with clarity, confidence, and a deep understanding of total compensation, AI professionals can secure packages that reflect both their current value and their long-term contribution.

In an era defined by rapid innovation and intense competition, negotiating well is not just a financial decision, it’s a strategic career move.

Related Articles:

• 16 Key Issues in Negotiating an Employment Severance Package
• 14 Key Issues in Negotiating Employment Agreements
• Key Issues with Confidentiality and Invention Assignment Agreements with Employees
• How Employee Stock Options Work in Startup Companies

As clocks spring forward this weekend, many people groan at the thought of “losing an hour” of sleep. The shift can feel sudden and disorienting, especially for those who treasure their morning routines or rely on consistent sleep patterns. Yet experts say that Daylight Saving Time (DST) should not be seen as a punishment. It is less about losing an hour and more about gaining something far more valuable: sunlight. By focusing on the return of light, DST can be seen as a natural boost to mood, metabolism, and overall resilience.

Light plays a critical role in human health. Our metabolism, mood, and sleep cycles are closely connected to natural rhythms of day and night. Morning light triggers the production of cortisol, a hormone that helps the body wake up and feel alert. Evening light regulates melatonin, guiding the body toward restorative sleep. According to Dr. Ilene Rosen, even a small adjustment, like the one-hour shift in Daylight Saving Time, helps align our circadian rhythms with natural light cycles. This alignment improves alertness, energy, and mood throughout the day.

Scott Blossom, L.Ac., founder of Doctor Blossom and an integrative cognitive health practitioner, notes that exposure to natural light can influence cognitive function and emotional resilience. His approach emphasizes that consistent light cues help support mental clarity, energy, and overall well-being, and that adjusting daily routines to include sunlight can ease the transition when DST begins.

The benefits of sunlight extend beyond physiology. Longer days signal the approach of spring and serve as a tangible sign of renewal. Exposure to natural light increases serotonin, the neurotransmitter linked to happiness and social engagement. Seeing sunlight lingering later in the evening can lift spirits, encourage outdoor activity, promote social connection, and create moments of quiet reflection. In this sense, Daylight Saving Time is not a disruption. It is an invitation to embrace life outdoors and to enjoy the changing seasons.

Adjusting to DST does take a short period of adaptation. Early risers or people with strict schedules may initially feel tired or irritable. Research shows that most people adjust within a few days. Simple practices such as getting sunlight first thing in the morning, taking brief outdoor walks during the day, and keeping consistent sleep schedules help the body recalibrate quickly. By framing the shift as an opportunity to reconnect with nature and reset daily routines, individuals can transform the experience into one of resilience rather than deprivation.

The cultural narrative around DST often focuses on what is lost rather than what is gained. When people hear “spring forward,” they think about an hour less of sleep. Reframing the shift changes the conversation to a more positive perspective. It is a chance to gain an evening of light, extend daylight for exercise, leisure, and social connection, and embrace activities that promote well-being. With each passing day, the sun lingers longer, encouraging outdoor activity and moments of calm reflection. Exposure to light helps regulate mood, reduces symptoms of seasonal affective disorder, and strengthens overall health.

Daylight Saving Time also reminds us that humans are adaptable. Even with minor disruptions, the body is capable of adjusting to environmental cues. In a broader sense, this shift is an exercise in resilience, showing how small changes can harmonize daily life with natural rhythms. By focusing on the benefits, including extra sunlight, longer evenings, improved mood, and new opportunities for activity, DST becomes less of a nuisance and more of a seasonal gift.

This spring, instead of dreading the clock change, embrace it as a herald of light and renewal. The sun is returning, and with it comes a chance to recharge, align with natural rhythms, and enjoy life outdoors. Daylight Saving Time should not be viewed as a thief of sleep. It is a reminder of the power of light, the resilience of the human body, and the joy that comes with longer, brighter days.

The post Why Daylight Saving Time Is a Boost, Not a Loss appeared first on Social Lifestyle Magazine.