5 Reasons why the gig economy is good for US businesses

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Executives in every industry face the same problem. They need to move quickly without adding permanent fixed costs. They need individuals with particular talents for short bursts of work. They need to smooth peaks and valleys in demand without overstaffing. The American gig economy gives businesses practical tools to do all three. When companies use independent talent thoughtfully, they gain agility, speed, access to expertise, and a more resilient cost base.
#1 Agility without friction
First, the gig economy lets firms adjust staffing to changing conditions without incurring much friction. Classic labor economics (Bertola & Rogerson, 1997; Hopenhayn & Rogerson, 1993; Lazear, 1990; OECD, 2024) shows that hiring and firing costs reduce managerial flexibility and can slow the reallocation of workers to more productive tasks. Research comparing places with tougher versus looser firing rules shows that higher firing costs make companies slower to resize or reallocate their workforce (Autor et al., 2007; Bassanini et al., 2009). For managers, the immediate implication is simple. When part of your workforce is flexible, you can right size more quickly, move budget to the highest value projects, and restore momentum sooner after a demand shock.
The effect is not theoretical. In practice, firms rely on contractors and gig workers to create flexibility. The Organization for Economic Cooperation and Development (an intergovernmental body of 38 mostly high-income democracies that studies economies and publishes comparable data, policy analysis, and best-practice guidance) has documented how businesses use nonstandard arrangements to adjust staffing when internal measures like across the board wage cuts are not feasible or legal (OECD, 2014). The result is quicker response to market signals and less time stuck with a cost structure that does not fit revenue.
#2 Faster access to scarce skills
Second, digital talent platforms shorten the time it takes to find and engage specialized talent. In a peer-reviewed study published in the Journal of Labor Economics, Horton ran a large-scale field experiment on a major online talent platform. When the platform recommended specific candidates to employers with technical vacancies, the hiring rate rose by about twenty percent with no evidence of crowd out of other hires. That is a direct, causal result linking platform tools to faster fills for hard to staff roles. Faster fills mean shorter hiring cycle times for projects and a real advantage in races where speed to market matters.
Harvard Business School and Boston Consulting Group surveyed firms that use digital talent platforms, and 40 percent of users reported that access to highly skilled freelancers improved speed to market and boosted productivity and innovation (Fuller, Raman, Bailey, & Vaduganathan, 2020). Experimental evidence also shows that platform matching raises fill rates for technical roles, with a randomized field experiment on UpWork finding about 20 percent higher hiring with no crowd out (Horton, 2017). Companies that can tap a large, always on marketplace of experts can compose teams rapidly and keep work moving when a key role opens unexpectedly.
#3 A wider and deeper talent pool
Third, talent marketplaces widen both the geographic and demographic reach of recruiting. Firms are no longer limited to a commuting radius or to people who want a single full-time location. Research shows these platforms connect companies with workers worldwide and add trust-building features like verified histories, reputation ratings, escrow, and standardized contracts, which make it easier for both sides to evaluate one another and agree to work (Agrawal, Horton, Lacetera, & Lyons, 2017; Tadelis, 2016). The result is more efficient matching and a better chance of finding the exact skills a project needs.
This broader pool is important because independent work participation has grown. McKinsey’s American Opportunity Survey estimates that independent work expanded markedly through 2022 with many workers preferring autonomy and flexible schedules (Dua, Ellingrud, Hancock, Luby, Madgavkar, & Pemberton, 2022). For businesses, a growing supply of skilled independents means more choice and better matches at any given time.
Government statistics add additional context. The Bureau of Labor Statistics contingent worker supplement reports that independent contractors accounted for about 6.9 percent of total employment in 2017, and the agency’s 2024 update indicates a higher share 7.4% for independent contractors compared with 2017. While definitions differ across surveys, the persistence of a sizable contractor share confirms that this is a durable staffing channel rather than a short-term anomaly.
#4 Cost control without blunt cuts
Fourth, independent talent helps companies shape their cost base. Fixed compensation and benefits create obligations that are difficult to unwind quickly. The ability to pay for clearly defined outcomes or for discrete time periods lets companies align spending with value delivered. Peer reviewed and policy research ties flexible arrangements to lower adjustment costs, which matter most during uncertainty or when funding is tight (OECD, 2014; Smirnykh & Wörgötter, 2015). That does not imply that companies should replace core teams. It means that the marginal unit of capacity can come from project-based talent when the business case is temporary or exploratory.
There is also a screening benefit. Long observed in the staffing literature, temporary arrangements let companies observe quality and fit before committing to a long relationship (Houseman, 2001; Houseman & Polivka, 1999). Better selection is a direct lever on productivity and on the cost of turnover.
#5 Innovation and speed to market
Fifth, flexible talent models support innovation. Companies increasingly assemble small, cross functional teams for short sprints that test new products, stand up data pipelines, modernize legacy systems, or implement regulatory changes. When internal capacity is fully allocated to ongoing operations, independent experts can fill skill gaps immediately. Firms report that digital talent platforms increase speed to market and innovation by getting specialized contributors on the field quickly (Fuller, Raman, Bailey, & Vaduganathan, 2020). The same logic appears across management research and practice. Organizations that can find niche skills on demand spend less time stalled by bottlenecks (Agrawal, Horton, Lacetera, & Lyons, 2017).
Algorithmic matching and marketplace design also matter. In the Journal of Labor Economics study, algorithmic recommendations to employers increased successful hires (Horton, 2017). That is a concrete example of how platform features reduce search frictions and help businesses make better staffing decisions at lower transaction cost (Horton, 2017).
A few additional thoughts:
Resilience in an aging workforce
Demographic changes are raising the stakes. The OECD’s Employment Outlook highlights how workforce aging challenges growth and makes skill matching more important. Flexible pathways into and out of projects help older experts stay active and let firms capture institutional knowledge precisely where it creates value. Talent platforms that make it simple to engage experienced professionals for instruction, quality assurance, or change management give companies a lever to maintain standards while teams evolve.
Practical risk management rather than risk avoidance
Some executives worry that using contractors will increase compliance risk or dilute culture. Those concerns are real and solvable. The right approach is not to avoid the gig economy but to manage it deliberately. Companies should define what work remains strategic and therefore internal, and what work is episodic, specialized, or easily scoped and therefore suitable for independent engagement. They should use written statements of work with clear deliverables, adopt approved platforms or vendor programs that bundle invoicing and documentation, and train managers on classification and confidentiality basics. The upside is a workforce that flexes as the business flexes while the legal and ethical guardrails remain clear.
Where the peer reviewed evidence is strongest
Several peer reviewed findings are especially relevant for business leaders.
- Matching technologies on platforms increase hiring for technical jobs which reduces time to staff critical tasks. Horton’s randomized trial provides the clearest evidence.
- Firms use nonstandard work to create external flexibility when internal wage or hours adjustments are constrained. OECD analysis of enterprise surveys documents this mechanism.
- Screening through temporary or contract work can improve selection quality and reduce costly hiring mistakes. The Upjohn Institute’s research synthesis on flexible staffing explains why this pathway is common in practice.
These results do not say that every gig arrangement is good for every firm. They say that, when used intentionally, gig channels solve specific business problems more effectively than solely relying on traditional full-time staffing.
Practical playbook for leaders
To translate the research into action, executives can use a simple playbook.
- Classify work, not people. List your top twenty recurring project types and decide which are core and which are episodic. Use independents only where the work is well scoped, time bound, and separable from ongoing roles.
- Procure talent through structured channels. Use approved platforms or vendor programs that provide classification guidance, standardized contracts, milestone based billing, and consolidated reporting. This lowers transaction costs and improves compliance. Evidence from platform studies indicates that good marketplace design increases match quality, which is exactly what business units need.
- Design for speed and knowledge capture. Onboard independents with a written brief, context documents, and a named internal owner. Close each engagement with a short handover and artifact checklist so the learning remains inside the company.
- Measure cycle time and business impact. Track time to fill, time to first deliverable, and project outcomes alongside cost. The Harvard Business School and BCG survey shows many firms already see faster speed to market and higher productivity after adopting digital talent platforms. Your metrics can verify those gains in your context.
Addressing common objections with facts
- Culture and cohesion. Leaders sometimes fear that flexible staffing fragments the team. The solution is to keep core culture bearers in permanent roles while using independents for well-defined tasks. With clear briefs and a simple cadence of stand ups and reviews, many teams report higher output and less burnout.
- Quality control. Reputation systems and verified histories on major platforms, along with small paid tests before large awards, let managers compare candidates based on objective signals rather than guesswork. The literature on digital labor markets describes how these mechanisms reduce information gaps that once made outside hiring risky.
- Compliance and classification. Companies should not minimize this issue. They should invest in policies and training and work with counsel and trusted vendors. The point is that classification risk can be managed with process, just as cyber risk and financial controls are managed with process.
The strategic takeaway
The gig economy is not a replacement for employees. It is a complementary capability that helps businesses do three things that matter for performance. Move faster. Reach scarce skills. Keep fixed costs in check.
The most robust evidence shows that platform features can raise hiring success for technical roles, that flexible arrangements increase staffing agility when internal changes are infeasible, and that companies experience meaningful gains in speed to market and innovation when they integrate independent experts into project work.
In a competitive economy this is exactly what you want from a talent strategy. It is not a trend. It is a tool to run the business better.
References and sources used in this article
- Agrawal, A., Horton, J., Lacetera, N., & Lyons, E. (2015). Digitization and the contract labor market: A research agenda. In A. Goldfarb, S. M. Greenstein, & C. E. Tucker (Eds.),Economic analysis of the digital economy (pp. 219–250). University of Chicago Press. https://doi.org/10.7208/chicago/9780226206981.003.0008
- Agrawal, A., Horton, J., Lacetera, N., & Lyons, E. (2017).Digital labor markets and global talent flows (NBER Working Paper No. 23398). National Bureau of Economic Research. https://www.nber.org/papers/w23398
- Autor, D. H., Kerr, W. R., & Kugler, A. D. (2007). Do employment protections reduce productivity? Evidence from U.S. states.The Economic Journal, 117(521), F189–F217. https://doi.org/10.1111/j.1468-0297.2007.02056.x
- Bassanini, A., Nunziata, L., & Venn, D. (2009). Job protection legislation and productivity growth in OECD countries.Economic Policy, 24(58), 349–402. https://doi.org/10.1111/j.1468-0327.2009.00225.x
- Bertola, G., & Rogerson, R. (1997). Institutions and labor reallocation.European Economic Review, 41(6), 1147–1171. https://doi.org/10.1016/S0014-2921(96)00048-7
- Dua, A., Ellingrud, K., Hancock, B., Luby, R., Madgavkar, A., & Pemberton, S. (2022, August 23).Freelance, side hustles, and gigs: Many more Americans have become independent workers. McKinsey & Company.
- Fuller, J., Raman, M., Bailey, A., & Vaduganathan, N. (2020, November).Building the on-demand workforce: Employer perspectives on the changing nature of work. Harvard Business School & Boston Consulting Group. https://www.hbs.edu/managing-the-future-of-work/Documents/Building_The_On-Demand_Workforce.pdf
- Hopenhayn, H., & Rogerson, R. (1993). Job turnover and policy evaluation: A general equilibrium analysis.Journal of Political Economy, 101(5), 915–938. https://doi.org/10.1086/261909
- Horton, J. J. (2017). The effects of algorithmic labor market recommendations: Evidence from a field experiment.Journal of Labor Economics, 35(2), 345–385. https://doi.org/10.1086/689213
- Houseman, S. N. (2001). Why employers use flexible staffing arrangements: Evidence from an establishment survey.Industrial and Labor Relations Review, 55(1), 149–170. https://doi.org/10.1177/001979390105500109
- Lazear, E. P. (1990). Job security provisions and employment.The Quarterly Journal of Economics, 105(3), 699–726. https://academic.oup.com/qje/article-abstract/105/3/699/1864591
- (2014).OECD employment outlook 2014. OECD Publishing. https://doi.org/10.1787/empl_outlook-2014-en
- (2024).OECD employment outlook 2024. OECD Publishing. https://doi.org/10.1787/abc8ad82-en
- Smirnykh, L., & Wörgötter, A. (2015).Non-standard contracts, flexibility and employment adjustment: Empirical evidence from Russian establishment data (OECD Economics Department Working Papers No. 1253). OECD Publishing. https://doi.org/10.1787/5jrw7j0mdlnt-en
- Stanton, C. T., & Thomas, C. (2016). Landing the first job: The value of intermediaries in online hiring.Review of Economic Studies, 83(2), 810–854. https://doi.org/10.1093/restud/rdv042
- Tadelis, S. (2016). Reputation and feedback systems in online platform markets.Annual Review of Economics, 8, 321–340. https://doi.org/10.1146/annurev-economics-080315-015325
- S. Bureau of Labor Statistics. (2024, November 8).Contingent and alternative employment arrangements — July 2023. https://www.bls.gov/news.release/conemp.htm
- Pallais, A. (2014). Inefficient hiring in entry-level labor markets.American Economic Review, 104(11), 3565–3599. https://doi.org/10.1257/aer.104.11.3565

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