When Everything Shuts Down—Except Gig Work

by Jason Tieri | Feb 1, 2026 | Blog

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When winter locks down roads and routines, gig work doesn’t stop—it mutates. This episode dives into what happens when a deep freeze collides with delivery apps, driver safety, and policy shifts that ripple across markets. We open with a region-wide ice event that stranded families for days and flattened demand midweek, then spiked it on clearer weekends. That weather window illuminates a harsh truth: drivers who plan for downtime and gear for storms can choose when to work; those who don’t feel forced into risky shifts for modest bonuses. The storm becomes a backdrop for bigger questions about sustainability, personal safety, and the invisible costs of staying on the road when everything else shuts down.

From there we pivot to taxes and the messy reality of platform reporting. Despite political talk of not taxing tips, many 1099s still lump tips into total earnings, leaving drivers without a clean way to claim distinctions unless apps provide detailed summaries. Uber’s annual tax summary breaks out tips, while others—Lyft, Spark, and frequently DoorDash—often don’t. That inconsistency fuels a larger debate about transparency: if platforms expect contractors to manage complex taxes, expenses, and compliance, the data must be precise, consistent, and easily exportable. For gig workers, keeping thorough records, capturing mileage, and bookmarking annual summaries is no longer optional; it’s how you keep money in your pocket.

Transparency shows up again in New York City, where a court let stand a law requiring apps to recommend a minimum 10% tip and to present clear tipping options. The platforms warned about speech rights and business harm; the court disagreed. The real impact is market design: when apps must spotlight tipping while also paying local minimums, the old math of low base pay plus hidden tips breaks. In high-cost cities, guarantees sound great, but they often coexist with scheduling, quotas, or slower markets. If you don’t drive there, it’s tempting to cheer new mandates. If you do, you watch how each rule shifts availability, pay floors, and the fine print that changes your day.

Autonomous vehicles threw more questions on the pile. Reports from Austin show Waymo cars allegedly passing active school bus stop arms even after a software “fix,” with dozens of flagged incidents and kids in frame. Another clip shows a Waymo nearly colliding as it pulls from the curb right into traffic. It’s a reminder that scaling robotaxis requires mastering edge cases humans consider basic: stop arms, blind spots, and courtesy pauses. AV backers tout millions of safe miles; critics point to a single near-miss that erodes public trust. For gig drivers who see autonomy as competition, these failures are a reprieve. For cities, they’re a liability problem waiting to hit court dockets.

Meanwhile, Amazon is recalibrating retail. With Go and some Fresh locations shrinking while Whole Foods and delivery expand, a new “big box” concept raises eyebrows. Why drive to a store to buy what one-click already sends home? The only compelling answer is experience and immediacy: curated shelves that match local demand, in-store tech that speeds checkout, and integrated grocery that fulfills delivery within hours. If Amazon pairs a large-format store with fast last-mile, drivers see more predictable batches and neighborhoods get shorter ETAs. If it’s a showroom without clear utility, expect blight where big promises were made.

We closed with the human side: DoorDash shut down in icy regions and added a $2 weather fee elsewhere, prompting the usual outrage. Surge-like fees are fair when risk and time multiply, but fees alone don’t change physics. The smarter play is preparation: winter tires, basic recovery gear, waterproof boots, extra windshield fluid, and a savings buffer so “no-go days” don’t wreck your budget. And when customers don’t shovel, you can still be professional: communicate ETAs, stay safe, and decide if that no-tip order is worth a thigh-deep trudge. In gig work, transparency, planning, and boundaries are the only guarantees you can control.

When Platforms Fail: Safety, Scams, and the Collapse of Trust

by Jason Tieri | Jan 25, 2026 | Blog

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The gig economy promises convenience, speed, and flexible work, but this week’s stories reveal the cost when incentives, safety, and ethics collide. We start with a chilling follow-up: an 83-year-old Ohio man convicted of murdering an Uber Eats driver after both he and the driver were targeted by scammers. The dash cam evidence left little doubt, but the broader lesson runs deeper. Scam operations increasingly exploit delivery flows, convincing customers and drivers to act on fear. Drivers arrive at unfamiliar homes, while residents—already panicked—assume the worst. The result: tragedy that neither platform policies nor current safety tooling prevented. Education on scams matters, but so do structural safeguards: clearer package policies, courier verification cues for customers, and rapid escalation paths that flag scam patterns before they become deadly.

Safety failures weren’t limited to scams. A federal bellwether trial alleges widespread sexual assault by rideshare drivers and a corporate culture that downplayed reports. Internal messages—about “killing stories” and routing victim info to outside adjusters—erode trust. The legal strategy claims incidents were consensual or isolated; the human reality is that underreporting, thin background checks, and weak enforcement create a predictable risk environment. Real fixes will demand trade-offs: recurring, federated background checks (ideally fingerprint-based and portable across apps), faster deactivation thresholds when multiple credible complaints arise, and standardized in-car camera policies with privacy guardrails. None of these are cheap, but ignoring them is costlier—for victims, drivers, and the long-term legitimacy of rideshare itself.

Even the lighter stories pointed to design gaps and misaligned incentives. A viral clip showed a shopper casually dumping groceries at a doorstep, sparking the eternal tipping debate. But the core issue is quality control: ratings without accountability produce performative compliance, not care. Platforms tout training badges; what works better is item-level photo proof, pattern detection for mishandling, and tighter removal policies for repeat offenders. On the tech frontier, we watched a delivery robot get obliterated by a train and a Waymo stuck at a gate it wouldn’t approach. Autonomy excels on predictable roads; it falters at edge cases like sensors misreading gate proximity or geofencing around tracks. These shortcomings aren’t fatal to the tech, but they demand more robust policy and environment mapping—especially in dense residential complexes.

Amid all this, Uber announced a major expansion with Kroger and affiliated banners, plus renewed talk of drones. Partnerships promise reach; reliability requires disciplined logistics. Shoppers and drivers feel the friction when orders sprawl across categories like sushi, floral, and groceries with tight windows. Drone promises still lag real deployment; until then, stable pay, accurate ETAs, and clear substitution policies move the needle more than splashy pilots. Finally, we tackled “hood Uber” cash rides—cheaper for riders and riskier for everyone. No insurance, no identity trail, no platform protections. It’s a symptom of weak transit options and high app pricing, but the fix isn’t riskier rides; it’s lower-cost tiers supported by verified identity, or community transit solutions that actually meet late-shift demand.

The gig economy thrives on trust: the trust that a courier is who they say they are, that a rider gets home safely, that groceries arrive intact, that a robot won’t stall at a gate or die on the tracks. Trust isn’t a slogan; it’s a system. Stronger verification, portable background checks, clear removal thresholds, smarter autonomy logic, and true customer-driver support will rebuild it. Until then, drivers should run dual dash cams and avoid non-platform cash rides; customers should verify couriers and avoid engaging with unsealed home-made items; and platforms should prioritize safety signals over PR wins. Convenience brought us here; credibility will decide what survives.

When the Apps Go Quiet: January Slowdowns, Trust Breakdowns, and Gig Survival

by Jason Tieri | Jan 18, 2026 | Blog

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January in the gig economy hits like a cold front. Demand fades, shoppers hoard routes, and drivers stare at blank screens wondering if the warehouse moved or the app died. We talk about dry January and why it means dry wallets, then get tactical. If you rely on gig income, the only safe move is a multi‑app portfolio: rideshare, food delivery, parcels, and shopping, plus reserve systems where they work. Rates dip and offers vanish, so flexibility becomes strategy. Accepting less for Amazon routes or switching to Instacart for a weekend grocery surge can keep cash flowing. The real lesson is to plan for seasonal troughs, stack savings when December pops, and refuse to depend on one platform.

Misinformation became its own gig. A viral “DoorDash whistleblower” turned out to be AI, and it still lured press, executives, and half the internet. That’s the new landscape: text that looks real and spreads faster than corrections. We discuss how to spot digital tells, why slush‑fund claims smelled off, and why companies must verify before reacting. Then we zoom out to AI’s infrastructure: data centers eating power and pushing local utility rates up. Towns take huge buyouts, neighbors get sticker shock, and Microsoft promises to absorb increases around new facilities. It’s not abstract for drivers; higher electricity hits EV charging, home bills, and warehouse costs that ripple into payouts.

Policy keeps sprinting to catch up. California’s new rule mandating full refunds for wrong or missing orders sounds great until you picture repeat abusers. We like the promise of live human support and fast refunds, but there must be guardrails: limits on serial claims, proof thresholds, and shielding restaurants from fraudulent chargebacks. When customers lie, they don’t hit a faceless app; they punch the cook, the courier, and the margins. The Brooklyn‑style broccoli saga drives home another point: training matters. If a Spark shopper confuses crowns with florets and weighs a nugget at five cents, that’s not just a joke; it’s a systems issue where quality checks and clearer UI could prevent waste and refunds.

Trust and data collide in less obvious ways. Amazon Flex couriers are nudged to install a third‑party safe‑driving app to earn gift cards. We question the bargain: small perks traded for driving telemetry that can mark you as a hard braker in someone’s algorithm. Even if Amazon says it won’t receive the data, aggregators monetize somehow. A driver’s risk profile can outlive a $25 code, and gig workers have learned the hard way that “not affiliated” can evolve. Meanwhile, Uber is building kiosks at airports for travelers without data plans. It’s smart access design: order at a screen, pay, and get a printed receipt with car details. It also reveals an untapped market that still hasn’t tried rideshare, and that means more trips for drivers when systems don’t fail.

Autonomy keeps making headlines, sometimes for the wrong reasons. A Waymo halted on train tracks captured the uncanny valley of safety: machines that promise superhuman perception still make human‑seeming mistakes. Contrast that with Zooks in Las Vegas: no steering wheel, bi‑directional motion, roomy cabins, and permissive rules for food and drink. Seven years of mapping before public launch shows a different posture—slow, careful, and local. On the delivery side, China’s autonomous vans bulldozing through construction and snow shows what happens when speed outruns safety. Packages survive less than sidewalks. If this becomes the norm, regulators and insurers will rewrite the rules before drivers see benefits.

Finally, we unpack New York City’s allegation that Uber Eats and DoorDash redesigned tipping flows to suppress pre‑checkout tips, slicing average tips from $2.17 to $0.76. If accurate, that’s a massive pay cut masked as “UI changes.” Tips shouldn’t be the foundation of pay, but they are. Moving tipping to post‑delivery shifts psychology: fewer taps, more friction, lower earnings. Workers need transparency on payout timing, tip presentation, and minimums that don’t get clawed back by design. There’s a brighter note: Walmart and Wing are scaling drone delivery to reach tens of millions. For suburban logistics, drones could take the low‑weight, high‑frequency runs and free drivers for higher‑value routes. Noise and airspace will be challenges, but the mix of drones, vans, and human couriers might finally balance speed with earnings. Until then, resilience means diversifying, saving through the peaks, and pushing apps—and lawmakers—for fair design.